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scoped.","type":"array","items":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"databricks.brickstore.scheduler.GenerateDatabaseCredentialRequest.instance_names.array_value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"brickstore.scheduler.GenerateDatabaseCredentialRequest.instance_names"},"request_id":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"brickstore.scheduler.GenerateDatabaseCredentialRequest.request_id"}},"x-databricks-package-name":"database","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"GenerateDatabaseCredentialRequest","x-databricks-legacy-name":"GenerateDatabaseCredentialRequest","x-databricks-stable-name":"GenerateDatabaseCredentialRequest"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_database_instances","parameters":{"page_token":{"type":"string","description":"Pagination token to go to the next page of Database Instances. Requests first page if absent."},"page_size":{"type":"integer","description":"Upper bound for items returned."}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_database_instances","parameters":{"data":{"description":"A DatabaseInstance represents a logical Postgres instance, comprised of both compute and storage.","type":"object","required":["name"],"properties":{"capacity":{"description":"The sku of the instance. Valid values are \"CU_1\", \"CU_2\", \"CU_4\", \"CU_8\".","type":"string","x-databricks-field-behaviors":["OPTIONAL"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.capacity"},"child_instance_refs":{"description":"The refs of the child instances. This is only available if the instance is\nparent instance.","type":"array","items":{"$ref":"#/components/schemas/database.DatabaseInstanceRef","x-databricks-package-name":"database","x-databricks-api-version":"legacy","x-databricks-schema-id":"databricks.brickstore.scheduler.DatabaseInstance.child_instance_refs.array_value","x-databricks-sdk-name":"DatabaseInstanceRef","x-databricks-legacy-name":"DatabaseInstanceRef","x-databricks-stable-name":"DatabaseInstanceRef"},"x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.child_instance_refs"},"creation_time":{"description":"The timestamp when the instance was created.","type":"string","format":"date-time","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.creation_time","x-databricks-well-known-type":"google.protobuf.Timestamp"},"creator":{"description":"The email of the creator of the instance.","type":"string","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.creator"},"effective_enable_pg_native_login":{"description":"xref AIP-129. `enable_pg_native_login` is owned by the client, while `effective_enable_pg_native_login` is owned by the server.\n`enable_pg_native_login` will only be set in Create/Update response messages if and only if the user provides the field via the request.\n`effective_enable_pg_native_login` on the other hand will always bet set in all response messages (Create/Update/Get/List).","type":"boolean","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.effective_enable_pg_native_login"},"effective_enable_readable_secondaries":{"description":"xref AIP-129. `enable_readable_secondaries` is owned by the client, while `effective_enable_readable_secondaries` is owned by the server.\n`enable_readable_secondaries` will only be set in Create/Update response messages if and only if the user provides the field via the request.\n`effective_enable_readable_secondaries` on the other hand will always bet set in all response messages (Create/Update/Get/List).","type":"boolean","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.effective_enable_readable_secondaries"},"effective_node_count":{"description":"xref AIP-129. `node_count` is owned by the client, while `effective_node_count` is owned by the server.\n`node_count` will only be set in Create/Update response messages if and only if the user provides the field via the request.\n`effective_node_count` on the other hand will always bet set in all response messages (Create/Update/Get/List).","type":"integer","format":"int32","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.effective_node_count"},"effective_retention_window_in_days":{"description":"xref AIP-129. `retention_window_in_days` is owned by the client, while `effective_retention_window_in_days` is owned by the server.\n`retention_window_in_days` will only be set in Create/Update response messages if and only if the user provides the field via the request.\n`effective_retention_window_in_days` on the other hand will always bet set in all response messages (Create/Update/Get/List).","type":"integer","format":"int32","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.effective_retention_window_in_days"},"effective_stopped":{"description":"xref AIP-129. `stopped` is owned by the client, while `effective_stopped` is owned by the server.\n`stopped` will only be set in Create/Update response messages if and only if the user provides the field via the request.\n`effective_stopped` on the other hand will always bet set in all response messages (Create/Update/Get/List).","type":"boolean","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.effective_stopped"},"enable_pg_native_login":{"description":"Whether the instance has PG native password login enabled. Defaults to true.","type":"boolean","x-databricks-field-behaviors":["OPTIONAL","INPUT_ONLY"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.enable_pg_native_login"},"enable_readable_secondaries":{"description":"Whether to enable secondaries to serve read-only traffic. Defaults to false.","type":"boolean","x-databricks-field-behaviors":["OPTIONAL"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.enable_readable_secondaries"},"name":{"description":"The name of the instance. This is the unique identifier for the instance.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.name"},"node_count":{"description":"The number of nodes in the instance, composed of 1 primary and 0 or more secondaries. Defaults to\n1 primary and 0 secondaries.","type":"integer","format":"int32","x-databricks-field-behaviors":["OPTIONAL"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.node_count"},"parent_instance_ref":{"description":"The ref of the parent instance. This is only available if the instance is\nchild instance.\nInput: For specifying the parent instance to create a child instance. Optional.\nOutput: Only populated if provided as input to create a child instance.","$ref":"#/components/schemas/database.DatabaseInstanceRef","x-databricks-package-name":"database","x-databricks-field-behaviors":["OPTIONAL"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.parent_instance_ref","x-databricks-sdk-name":"DatabaseInstanceRef","x-databricks-legacy-name":"DatabaseInstanceRef","x-databricks-stable-name":"DatabaseInstanceRef"},"pg_version":{"description":"The version of Postgres running on the instance.","type":"string","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.pg_version"},"read_only_dns":{"description":"The DNS endpoint to connect to the instance for read only access. This is only available if\nenable_readable_secondaries is true.","type":"string","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.read_only_dns"},"read_write_dns":{"description":"The DNS endpoint to connect to the instance for read+write access.","type":"string","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.read_write_dns"},"retention_window_in_days":{"description":"The retention window for the instance. This is the time window in days\nfor which the historical data is retained. The default value is 7 days.\nValid values are 2 to 35 days.","type":"integer","format":"int32","x-databricks-field-behaviors":["OPTIONAL"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.retention_window_in_days"},"state":{"description":"The current state of the instance.","$ref":"#/components/schemas/database.DatabaseInstanceState","x-databricks-package-name":"database","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.state","x-databricks-sdk-name":"DatabaseInstanceState","x-databricks-legacy-name":"DatabaseInstanceState","x-databricks-stable-name":"DatabaseInstanceState"},"stopped":{"description":"Whether the instance is stopped.","type":"boolean","x-databricks-field-behaviors":["OPTIONAL"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.stopped"},"uid":{"description":"An immutable UUID identifier for the instance.","type":"string","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.uid"}},"x-databricks-package-name":"database","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"DatabaseInstance","x-databricks-legacy-name":"DatabaseInstance","x-databricks-stable-name":"DatabaseInstance"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_database_instances_by_name","parameters":{"name":{"type":"string","description":"Name of the cluster to get."}}},{"connectionName":"databricks-workspace","actionName":"patch_api_2.0_database_instances_by_name","parameters":{"name":{"type":"string","description":"The name of the instance. This is the unique identifier for the instance."},"update_mask":{"type":"string","description":"The list of fields to update. If unspecified, all fields will be updated when possible. To wipe out custom_tags,\nspecify custom_tags in the update_mask with an empty custom_tags map."},"data":{"description":"A DatabaseInstance represents a logical Postgres instance, comprised of both compute and storage.","type":"object","required":["name"],"properties":{"capacity":{"description":"The sku of the instance. Valid values are \"CU_1\", \"CU_2\", \"CU_4\", \"CU_8\".","type":"string","x-databricks-field-behaviors":["OPTIONAL"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.capacity"},"child_instance_refs":{"description":"The refs of the child instances. This is only available if the instance is\nparent instance.","type":"array","items":{"$ref":"#/components/schemas/database.DatabaseInstanceRef","x-databricks-package-name":"database","x-databricks-api-version":"legacy","x-databricks-schema-id":"databricks.brickstore.scheduler.DatabaseInstance.child_instance_refs.array_value","x-databricks-sdk-name":"DatabaseInstanceRef","x-databricks-legacy-name":"DatabaseInstanceRef","x-databricks-stable-name":"DatabaseInstanceRef"},"x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.child_instance_refs"},"creation_time":{"description":"The timestamp when the instance was created.","type":"string","format":"date-time","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.creation_time","x-databricks-well-known-type":"google.protobuf.Timestamp"},"creator":{"description":"The email of the creator of the instance.","type":"string","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.creator"},"effective_enable_pg_native_login":{"description":"xref AIP-129. `enable_pg_native_login` is owned by the client, while `effective_enable_pg_native_login` is owned by the server.\n`enable_pg_native_login` will only be set in Create/Update response messages if and only if the user provides the field via the request.\n`effective_enable_pg_native_login` on the other hand will always bet set in all response messages (Create/Update/Get/List).","type":"boolean","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.effective_enable_pg_native_login"},"effective_enable_readable_secondaries":{"description":"xref AIP-129. `enable_readable_secondaries` is owned by the client, while `effective_enable_readable_secondaries` is owned by the server.\n`enable_readable_secondaries` will only be set in Create/Update response messages if and only if the user provides the field via the request.\n`effective_enable_readable_secondaries` on the other hand will always bet set in all response messages (Create/Update/Get/List).","type":"boolean","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.effective_enable_readable_secondaries"},"effective_node_count":{"description":"xref AIP-129. `node_count` is owned by the client, while `effective_node_count` is owned by the server.\n`node_count` will only be set in Create/Update response messages if and only if the user provides the field via the request.\n`effective_node_count` on the other hand will always bet set in all response messages (Create/Update/Get/List).","type":"integer","format":"int32","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.effective_node_count"},"effective_retention_window_in_days":{"description":"xref AIP-129. `retention_window_in_days` is owned by the client, while `effective_retention_window_in_days` is owned by the server.\n`retention_window_in_days` will only be set in Create/Update response messages if and only if the user provides the field via the request.\n`effective_retention_window_in_days` on the other hand will always bet set in all response messages (Create/Update/Get/List).","type":"integer","format":"int32","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.effective_retention_window_in_days"},"effective_stopped":{"description":"xref AIP-129. `stopped` is owned by the client, while `effective_stopped` is owned by the server.\n`stopped` will only be set in Create/Update response messages if and only if the user provides the field via the request.\n`effective_stopped` on the other hand will always bet set in all response messages (Create/Update/Get/List).","type":"boolean","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.effective_stopped"},"enable_pg_native_login":{"description":"Whether the instance has PG native password login enabled. Defaults to true.","type":"boolean","x-databricks-field-behaviors":["OPTIONAL","INPUT_ONLY"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.enable_pg_native_login"},"enable_readable_secondaries":{"description":"Whether to enable secondaries to serve read-only traffic. Defaults to false.","type":"boolean","x-databricks-field-behaviors":["OPTIONAL"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.enable_readable_secondaries"},"name":{"description":"The name of the instance. This is the unique identifier for the instance.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.name"},"node_count":{"description":"The number of nodes in the instance, composed of 1 primary and 0 or more secondaries. Defaults to\n1 primary and 0 secondaries.","type":"integer","format":"int32","x-databricks-field-behaviors":["OPTIONAL"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.node_count"},"parent_instance_ref":{"description":"The ref of the parent instance. This is only available if the instance is\nchild instance.\nInput: For specifying the parent instance to create a child instance. Optional.\nOutput: Only populated if provided as input to create a child instance.","$ref":"#/components/schemas/database.DatabaseInstanceRef","x-databricks-package-name":"database","x-databricks-field-behaviors":["OPTIONAL"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.parent_instance_ref","x-databricks-sdk-name":"DatabaseInstanceRef","x-databricks-legacy-name":"DatabaseInstanceRef","x-databricks-stable-name":"DatabaseInstanceRef"},"pg_version":{"description":"The version of Postgres running on the instance.","type":"string","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.pg_version"},"read_only_dns":{"description":"The DNS endpoint to connect to the instance for read only access. This is only available if\nenable_readable_secondaries is true.","type":"string","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.read_only_dns"},"read_write_dns":{"description":"The DNS endpoint to connect to the instance for read+write access.","type":"string","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.read_write_dns"},"retention_window_in_days":{"description":"The retention window for the instance. This is the time window in days\nfor which the historical data is retained. The default value is 7 days.\nValid values are 2 to 35 days.","type":"integer","format":"int32","x-databricks-field-behaviors":["OPTIONAL"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.retention_window_in_days"},"state":{"description":"The current state of the instance.","$ref":"#/components/schemas/database.DatabaseInstanceState","x-databricks-package-name":"database","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.state","x-databricks-sdk-name":"DatabaseInstanceState","x-databricks-legacy-name":"DatabaseInstanceState","x-databricks-stable-name":"DatabaseInstanceState"},"stopped":{"description":"Whether the instance is stopped.","type":"boolean","x-databricks-field-behaviors":["OPTIONAL"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.stopped"},"uid":{"description":"An immutable UUID identifier for the instance.","type":"string","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"brickstore.scheduler.DatabaseInstance.uid"}},"x-databricks-package-name":"database","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"DatabaseInstance","x-databricks-legacy-name":"DatabaseInstance","x-databricks-stable-name":"DatabaseInstance"}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.0_database_instances_by_name","parameters":{"name":{"type":"string","description":"Name of the instance to delete."},"force":{"type":"boolean","description":"By default, a instance cannot be deleted if it has descendant instances created via PITR. If\nthis flag is specified as true, all descendent instances will be deleted as well."},"purge":{"type":"boolean","description":"Note purge=false is in development. If false, the database instance is soft deleted (implementation pending).\nSoft deleted instances behave as if they are deleted, and cannot be used for CRUD operations nor connected to.\nHowever they can be undeleted by calling the undelete API for a limited time (implementation pending).\nIf true, the database instance is hard deleted and cannot be undeleted.\nFor the time being, setting this value to true is required to delete an instance (soft delete is not yet supported)."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_database_instances:find_by_uid","parameters":{"uid":{"type":"string","description":"UID of the cluster to get."}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_database_synced_tables","parameters":{"data":{"description":"Next field marker: 14","type":"object","required":["name"],"properties":{"data_synchronization_status":{"description":"Synced Table data synchronization status","$ref":"#/components/schemas/database.SyncedTableStatus","x-databricks-package-name":"database","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"brickstore.scheduler.SyncedDatabaseTable.data_synchronization_status","x-databricks-sdk-name":"SyncedTableStatus","x-databricks-legacy-name":"SyncedTableStatus","x-databricks-stable-name":"SyncedTableStatus"},"database_instance_name":{"description":"Name of the target database instance. This is required when creating synced database tables in standard catalogs.\nThis is optional when creating synced database tables in registered catalogs. If this field is specified\nwhen creating synced database tables in registered catalogs, the database instance name MUST\nmatch that of the registered catalog (or the request will be rejected).","type":"string","x-databricks-field-behaviors":["OPTIONAL","INPUT_ONLY"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"brickstore.scheduler.SyncedDatabaseTable.database_instance_name"},"effective_database_instance_name":{"description":"The name of the database instance that this table is registered to. This field is always returned, and for\ntables inside database catalogs is inferred database instance associated with the catalog.","type":"string","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"brickstore.scheduler.SyncedDatabaseTable.effective_database_instance_name"},"effective_logical_database_name":{"description":"The name of the logical database that this table is registered to.","type":"string","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"brickstore.scheduler.SyncedDatabaseTable.effective_logical_database_name"},"logical_database_name":{"description":"Target Postgres database object (logical database) name for this table.\n\nWhen creating a synced table in a registered Postgres catalog, the\ntarget Postgres database name is inferred to be that of the registered catalog.\nIf this field is specified in this scenario, the Postgres database name MUST\nmatch that of the registered catalog (or the request will be rejected).\n\nWhen creating a synced table in a standard catalog, this field is required.\nIn this scenario, specifying this field will allow targeting an arbitrary postgres database.\nNote that this has implications for the `create_database_objects_is_missing` field in `spec`.","type":"string","x-databricks-field-behaviors":["OPTIONAL","INPUT_ONLY"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"brickstore.scheduler.SyncedDatabaseTable.logical_database_name"},"name":{"description":"Full three-part (catalog, schema, table) name of the table.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"brickstore.scheduler.SyncedDatabaseTable.name"},"spec":{"$ref":"#/components/schemas/database.SyncedTableSpec","x-databricks-package-name":"database","x-databricks-field-behaviors":["OPTIONAL"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"brickstore.scheduler.SyncedDatabaseTable.spec","x-databricks-sdk-name":"SyncedTableSpec","x-databricks-legacy-name":"SyncedTableSpec","x-databricks-stable-name":"SyncedTableSpec"},"unity_catalog_provisioning_state":{"description":"The provisioning state of the synced table entity in Unity Catalog. This is distinct from the\nstate of the data synchronization pipeline (i.e. the table may be in \"ACTIVE\" but the pipeline\nmay be in \"PROVISIONING\" as it runs asynchronously).","$ref":"#/components/schemas/database.ProvisioningInfoState","x-databricks-package-name":"database","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"brickstore.scheduler.SyncedDatabaseTable.unity_catalog_provisioning_state","x-databricks-sdk-name":"ProvisioningInfoState","x-databricks-legacy-name":"ProvisioningInfoState","x-databricks-stable-name":"ProvisioningInfoState"}},"x-databricks-package-name":"database","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"SyncedDatabaseTable","x-databricks-legacy-name":"SyncedDatabaseTable","x-databricks-stable-name":"SyncedDatabaseTable"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_database_synced_tables_by_name","parameters":{"name":{"type":"string"}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.0_database_synced_tables_by_name","parameters":{"name":{"type":"string"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_database_tables","parameters":{"data":{"description":"Next field marker: 13","type":"object","required":["name"],"properties":{"database_instance_name":{"description":"Name of the target database instance. This is required when creating database tables in standard catalogs.\nThis is optional when creating database tables in registered catalogs. If this field is specified\nwhen creating database tables in registered catalogs, the database instance name MUST\nmatch that of the registered catalog (or the request will be rejected).","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"brickstore.scheduler.DatabaseTable.database_instance_name"},"logical_database_name":{"description":"Target Postgres database object (logical database) name for this table.\n\nWhen creating a table in a registered Postgres catalog, the\ntarget Postgres database name is inferred to be that of the registered catalog.\nIf this field is specified in this scenario, the Postgres database name MUST\nmatch that of the registered catalog (or the request will be rejected).\n\nWhen creating a table in a standard catalog, this field is required.\nIn this scenario, specifying this field will allow targeting an arbitrary postgres database.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"brickstore.scheduler.DatabaseTable.logical_database_name"},"name":{"description":"Full three-part (catalog, schema, table) name of the table.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"brickstore.scheduler.DatabaseTable.name"}},"x-databricks-package-name":"database","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"DatabaseTable","x-databricks-legacy-name":"DatabaseTable","x-databricks-stable-name":"DatabaseTable"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_database_tables_by_name","parameters":{"name":{"type":"string"}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.0_database_tables_by_name","parameters":{"name":{"type":"string"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_dbfs_add_block","parameters":{"data":{"type":"object","required":["handle","data"],"properties":{"data":{"description":"The base64-encoded data to append to the stream. This has a limit of 1 MB.","type":"string","format":"string","x-databricks-api-version":"legacy","x-databricks-base64":true,"x-databricks-schema-id":"dbfs.AddBlock.data"},"handle":{"description":"The handle on an open stream.","type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"dbfs.AddBlock.handle"}},"x-databricks-package-name":"files","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"AddBlock","x-databricks-legacy-name":"AddBlock","x-databricks-stable-name":"AddBlock"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_dbfs_close","parameters":{"data":{"type":"object","required":["handle"],"properties":{"handle":{"description":"The handle on an open stream.","type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"dbfs.Close.handle"}},"x-databricks-package-name":"files","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"Close","x-databricks-legacy-name":"Close","x-databricks-stable-name":"Close"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_dbfs_create","parameters":{"data":{"type":"object","required":["path"],"properties":{"overwrite":{"description":"The flag that specifies whether to overwrite existing file/files.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"dbfs.Create.overwrite","default":false},"path":{"description":"The path of the new file. The path should be the absolute DBFS path.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"dbfs.Create.path","example":"/mnt/foo"}},"x-databricks-package-name":"files","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"Create","x-databricks-legacy-name":"Create","x-databricks-stable-name":"Create"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_dbfs_delete","parameters":{"data":{"type":"object","required":["path"],"properties":{"path":{"description":"The path of the file or directory to delete. The path should be the absolute DBFS path.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"dbfs.Delete.path","example":"/mnt/foo"},"recursive":{"description":"Whether or not to recursively delete the directory's contents. 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The path should be the absolute DBFS path."}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_dbfs_mkdirs","parameters":{"data":{"type":"object","required":["path"],"properties":{"path":{"description":"The path of the new directory. The path should be the absolute DBFS path.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"dbfs.MkDirs.path","example":"/mnt/foo"}},"x-databricks-package-name":"files","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"MkDirs","x-databricks-legacy-name":"MkDirs","x-databricks-stable-name":"MkDirs"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_dbfs_move","parameters":{"data":{"type":"object","required":["source_path","destination_path"],"properties":{"destination_path":{"description":"The destination path of the file or directory. The path should be the absolute DBFS path.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"dbfs.Move.destination_path","example":"/mnt/bar"},"source_path":{"description":"The source path of the file or directory. The path should be the absolute DBFS path.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"dbfs.Move.source_path","example":"/mnt/foo"}},"x-databricks-package-name":"files","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"Move","x-databricks-legacy-name":"Move","x-databricks-stable-name":"Move"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_dbfs_put","parameters":{"data":{"type":"object","required":["path"],"properties":{"contents":{"description":"This parameter might be absent, and instead a posted file will be used.","type":"string","format":"string","x-databricks-api-version":"legacy","x-databricks-base64":true,"x-databricks-schema-id":"dbfs.Put.contents"},"overwrite":{"description":"The flag that specifies whether to overwrite existing file/files.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"dbfs.Put.overwrite","default":false},"path":{"description":"The path of the new file. The path should be the absolute DBFS path.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"dbfs.Put.path","example":"/mnt/foo"}},"x-databricks-package-name":"files","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"Put","x-databricks-legacy-name":"Put","x-databricks-stable-name":"Put"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_dbfs_read","parameters":{"path":{"type":"string","description":"The path of the file to read. The path should be the absolute DBFS path."},"offset":{"type":"integer","description":"The offset to read from in bytes."},"length":{"type":"integer","description":"The number of bytes to read starting from the offset. This has a limit of 1 MB, and a default\nvalue of 0.5 MB."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_fs_directoriesby_directory_path","parameters":{"directory_path":{"type":"string","description":"The absolute path of a directory."},"page_size":{"type":"integer","description":"The maximum number of directory entries to return. The response may contain fewer\nentries. If the response contains a `next_page_token`, there may be more entries,\neven if fewer than `page_size` entries are in the response.\n\nWe recommend not to set this value unless you are intentionally listing less than\nthe complete directory contents.\n\nIf unspecified, at most 1000 directory entries will be returned.\nThe maximum value is 1000. Values above 1000 will be coerced to 1000."},"page_token":{"type":"string","description":"An opaque page token which was the `next_page_token` in the response of the previous\nrequest to list the contents of this directory. Provide this token to retrieve the\nnext page of directory entries.\nWhen providing a `page_token`, all other parameters provided to the request must match\nthe previous request.\nTo list all of the entries in a directory, it is necessary to continue requesting\npages of entries until the response contains no `next_page_token`. Note that the\nnumber of entries returned must not be used to determine when the listing is complete."}}},{"connectionName":"databricks-workspace","actionName":"head_api_2.0_fs_directoriesby_directory_path","parameters":{"directory_path":{"type":"string","description":"The absolute path of a directory."}}},{"connectionName":"databricks-workspace","actionName":"put_api_2.0_fs_directoriesby_directory_path","parameters":{"directory_path":{"type":"string","description":"The absolute path of a directory."}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.0_fs_directoriesby_directory_path","parameters":{"directory_path":{"type":"string","description":"The absolute path of a directory."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_fs_filesby_file_path","parameters":{"file_path":{"type":"string","description":"The absolute path of the file."},"Range":{"type":"string","description":"The range of bytes to retrieve.\nThe range is inclusive and zero-based, see\n[RFC 9110](https://datatracker.ietf.org/doc/html/rfc9110#name-range) for further details."},"If-Unmodified-Since":{"type":"string","description":"Download the file only if it has not been modified since the specified timestamp.\nIf it has, a 412 Precondition Failed error will be returned.\nSee [RFC 9110](https://datatracker.ietf.org/doc/html/rfc9110#name-if-unmodified-since) for further details."}}},{"connectionName":"databricks-workspace","actionName":"head_api_2.0_fs_filesby_file_path","parameters":{"file_path":{"type":"string","description":"The absolute path of the file."},"Range":{"type":"string","description":"The range of bytes to retrieve.\nThe range is inclusive and zero-based, see\n[RFC 9110](https://datatracker.ietf.org/doc/html/rfc9110#name-range) for further details."},"If-Unmodified-Since":{"type":"string","description":"Download the file only if it has not been modified since the specified timestamp.\nIf it has, a 412 Precondition Failed error will be returned.\nSee [RFC 9110](https://datatracker.ietf.org/doc/html/rfc9110#name-if-unmodified-since) for further details."}}},{"connectionName":"databricks-workspace","actionName":"put_api_2.0_fs_filesby_file_path","parameters":{"file_path":{"type":"string","description":"The absolute path of the file."},"overwrite":{"type":"boolean","description":"If true or unspecified, an existing file will be overwritten. If false, an error will be returned if the path points to an existing file."}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.0_fs_filesby_file_path","parameters":{"file_path":{"type":"string","description":"The absolute path of the file."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_genie_spaces","parameters":{"page_size":{"type":"integer","description":"Maximum number of spaces to return per page"},"page_token":{"type":"string","description":"Pagination token for getting the next page of results"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_genie_spaces_by_space_id","parameters":{"space_id":{"type":"string","description":"The ID associated with the Genie space"}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.0_genie_spaces_by_space_id","parameters":{"space_id":{"type":"string","description":"The ID associated with the Genie space to be sent to the 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ID"},"conversation_id":{"type":"string","description":"Conversation ID"},"message_id":{"type":"string","description":"Message ID"},"attachment_id":{"type":"string","description":"Attachment ID"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_genie_spaces_by_space_id_start_conversation","parameters":{"space_id":{"type":"string","description":"The ID associated with the Genie space where you want to start a conversation."},"data":{"type":"object","required":["content"],"properties":{"content":{"description":"The text of the message that starts the conversation.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"datarooms.GenieStartConversationMessageRequest.content","example":"Biggest open opportunities"}},"x-databricks-package-name":"dashboards","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"GenieStartConversationMessageRequest","x-databricks-legacy-name":"GenieStartConversationMessageRequest","x-databricks-stable-name":"GenieStartConversationMessageRequest"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_git_credentials","parameters":{}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_git_credentials","parameters":{"data":{"type":"object","required":["git_provider"],"properties":{"git_provider":{"description":"Git provider. This field is case-insensitive. The available Git providers are `gitHub`,\n`bitbucketCloud`, `gitLab`, `azureDevOpsServices`, `gitHubEnterprise`, `bitbucketServer`,\n`gitLabEnterpriseEdition` and `awsCodeCommit`.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"credentials.CreateCredentials.git_provider","example":"gitHub"},"git_username":{"description":"The username or email provided with your Git provider account, depending on which provider you\nare using. For GitHub, GitHub Enterprise Server, or Azure DevOps Services, either email or\nusername may be used. For GitLab, GitLab Enterprise Edition, email must be used. For\nAWS CodeCommit, BitBucket or BitBucket Server, username must be used. For all other providers\nplease see your provider's Personal Access Token authentication documentation to see what\nis supported.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"credentials.CreateCredentials.git_username","example":"testuser"},"is_default_for_provider":{"description":"if the credential is the default for the given provider","type":"boolean","x-databricks-api-version":"legacy","x-databricks-launch-stage":"PUBLIC_PREVIEW","x-databricks-preview":"PUBLIC","x-databricks-schema-id":"credentials.CreateCredentials.is_default_for_provider","example":false},"name":{"description":"the name of the git credential, used for identification and ease of lookup","type":"string","x-databricks-api-version":"legacy","x-databricks-launch-stage":"PUBLIC_PREVIEW","x-databricks-preview":"PUBLIC","x-databricks-schema-id":"credentials.CreateCredentials.name","example":"My GitHub PAT"},"personal_access_token":{"description":"The personal access token used to authenticate to the corresponding Git provider.\nFor certain providers, support may exist for other types of scoped access tokens.\n[Learn more](https://docs.databricks.com/repos/get-access-tokens-from-git-provider.html).","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"credentials.CreateCredentials.personal_access_token","example":"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"}},"x-databricks-package-name":"workspace","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"CreateCredentialsRequest","x-databricks-legacy-name":"CreateCredentialsRequest","x-databricks-stable-name":"CreateCredentialsRequest"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_git_credentials_by_credential_id","parameters":{"credential_id":{"type":"integer","description":"The ID for the corresponding credential to access."}}},{"connectionName":"databricks-workspace","actionName":"patch_api_2.0_git_credentials_by_credential_id","parameters":{"credential_id":{"type":"integer","description":"The ID for the corresponding credential to access."},"data":{"type":"object","required":["git_provider"],"properties":{"git_provider":{"description":"Git provider. This field is case-insensitive. The available Git providers are `gitHub`,\n`bitbucketCloud`, `gitLab`, `azureDevOpsServices`, `gitHubEnterprise`, `bitbucketServer`,\n`gitLabEnterpriseEdition` and `awsCodeCommit`.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"credentials.UpdateCredentials.git_provider","example":"gitHub"},"git_username":{"description":"The username or email provided with your Git provider account, depending on which provider you\nare using. For GitHub, GitHub Enterprise Server, or Azure DevOps Services, either email or\nusername may be used. For GitLab, GitLab Enterprise Edition, email must be used. For\nAWS CodeCommit, BitBucket or BitBucket Server, username must be used. For all other providers\nplease see your provider's Personal Access Token authentication documentation to see what\nis supported.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"credentials.UpdateCredentials.git_username","example":"testuser"},"is_default_for_provider":{"description":"if the credential is the default for the given provider","type":"boolean","x-databricks-api-version":"legacy","x-databricks-launch-stage":"PUBLIC_PREVIEW","x-databricks-preview":"PUBLIC","x-databricks-schema-id":"credentials.UpdateCredentials.is_default_for_provider","example":false},"name":{"description":"the name of the git credential, used for identification and ease of lookup","type":"string","x-databricks-api-version":"legacy","x-databricks-launch-stage":"PUBLIC_PREVIEW","x-databricks-preview":"PUBLIC","x-databricks-schema-id":"credentials.UpdateCredentials.name","example":"My GitHub PAT"},"personal_access_token":{"description":"The personal access token used to authenticate to the corresponding Git provider.\nFor certain providers, support may exist for other types of scoped access tokens.\n[Learn more](https://docs.databricks.com/repos/get-access-tokens-from-git-provider.html).","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"credentials.UpdateCredentials.personal_access_token","example":"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"}},"x-databricks-package-name":"workspace","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"UpdateCredentialsRequest","x-databricks-legacy-name":"UpdateCredentialsRequest","x-databricks-stable-name":"UpdateCredentialsRequest"}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.0_git_credentials_by_credential_id","parameters":{"credential_id":{"type":"integer","description":"The ID for the corresponding credential to access."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_global_init_scripts","parameters":{}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_global_init_scripts","parameters":{"data":{"type":"object","required":["name","script"],"properties":{"enabled":{"description":"Specifies whether the script is enabled. 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Any position of (3) or greater puts the script in the last position.\nIf an explicit position value conflicts with an existing script value, your request succeeds, but the original script at that position and all later scripts have their positions incremented by 1.","type":"integer","format":"integer","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.CreateGlobalInitScript.position","example":0},"script":{"description":"The Base64-encoded content of the script.","type":"string","format":"byte","x-databricks-api-version":"legacy","x-databricks-base64":true,"x-databricks-schema-id":"cluster.CreateGlobalInitScript.script","example":"ZWNobyBoZWxsbw=="}},"x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"GlobalInitScriptCreateRequest","x-databricks-legacy-name":"GlobalInitScriptCreateRequest","x-databricks-stable-name":"GlobalInitScriptCreateRequest"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_global_init_scripts_by_script_id","parameters":{"script_id":{"type":"string","description":"The ID of the global init script."}}},{"connectionName":"databricks-workspace","actionName":"patch_api_2.0_global_init_scripts_by_script_id","parameters":{"script_id":{"type":"string","description":"The ID of the global init script."},"data":{"type":"object","required":["name","script"],"properties":{"enabled":{"description":"Specifies whether the script is enabled. The script runs only if enabled.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.UpdateGlobalInitScript.enabled","example":false},"name":{"description":"The name of the script","type":"string","x-databricks-api-version":"legacy","minLength":1,"maxLength":100,"pattern":"^[a-zA-Z0-9_\\-\\. ]*$","x-databricks-schema-id":"cluster.UpdateGlobalInitScript.name","example":"My example script name"},"position":{"description":"The position of a script, where 0 represents the first script to run,\n1 is the second script to run, in ascending order.\nTo move the script to run first, set its position to 0.\n\nTo move the script to the end, set its position to any value\ngreater or equal to the position of the last script.\nExample, three existing scripts with positions 0, 1, and 2.\nAny position value of 2 or greater puts the script in the last position (2).\n\nIf an explicit position value conflicts with an existing script, your request succeeds,\nbut the original script at that position and all later scripts have their positions\nincremented by 1.","type":"integer","format":"integer","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.UpdateGlobalInitScript.position","example":0},"script":{"description":"The Base64-encoded content of the script.","type":"string","format":"byte","x-databricks-api-version":"legacy","x-databricks-base64":true,"x-databricks-schema-id":"cluster.UpdateGlobalInitScript.script","example":"ZWNobyBoZWxsbw=="}},"x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"GlobalInitScriptUpdateRequest","x-databricks-legacy-name":"GlobalInitScriptUpdateRequest","x-databricks-stable-name":"GlobalInitScriptUpdateRequest"}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.0_global_init_scripts_by_script_id","parameters":{"script_id":{"type":"string","description":"The ID of the global init script."}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_identity_groups_resolve_by_external_id","parameters":{"data":{"description":"Request message for resolving a group with the given external ID from the customer's IdP into Databricks.\nWill resolve metadata such as the group's groupname, and inherited parent groups.","type":"object","required":["external_id"],"properties":{"external_id":{"description":"Required. The external ID of the group in the customer's IdP.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"iam.v2.ResolveGroupProxyRequest.external_id"}},"x-databricks-package-name":"iamv2","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"ResolveGroupProxyRequest","x-databricks-legacy-name":"ResolveGroupProxyRequest","x-databricks-stable-name":"ResolveGroupProxyRequest"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_identity_service_principals_resolve_by_external_id","parameters":{"data":{"description":"Request message for resolving a service principal with the given external ID from the customer's IdP into Databricks.\nWill resolve metadata such as the service principal's displayname, status, and inherited parent groups.","type":"object","required":["external_id"],"properties":{"external_id":{"description":"Required. 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The external ID of the user in the customer's IdP.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"iam.v2.ResolveUserProxyRequest.external_id"}},"x-databricks-package-name":"iamv2","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"ResolveUserProxyRequest","x-databricks-legacy-name":"ResolveUserProxyRequest","x-databricks-stable-name":"ResolveUserProxyRequest"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_identity_workspace_access_details_by_principal_id","parameters":{"principal_id":{"type":"integer","description":"Required. The internal ID of the principal (user/sp/group) for which the access details are being requested."},"view":{"type":"string","description":"Controls what fields are returned."}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_instance_pools_create","parameters":{"data":{"type":"object","required":["instance_pool_name","node_type_id"],"properties":{"aws_attributes":{"description":"Attributes related to instance pools running on Amazon Web Services.\nIf not specified at pool creation, a set of default values will be used.","$ref":"#/components/schemas/compute.InstancePoolAwsAttributes","x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-cloud":"aws","x-databricks-schema-id":"cluster.InstancePoolClusterAttributes.aws_attributes","x-databricks-sdk-name":"InstancePoolAwsAttributes","x-databricks-legacy-name":"InstancePoolAwsAttributes","x-databricks-stable-name":"InstancePoolAwsAttributes"},"custom_tags":{"description":"Additional tags for pool resources. Databricks will tag all pool resources (e.g., AWS\ninstances and EBS volumes) with these tags in addition to `default_tags`. Notes:\n\n- Currently, Databricks allows at most 45 custom tags","type":"object","additionalProperties":{"description":"The value of the tag. The value length must be less than or equal to 255 UTF-8 characters.\nFor a list of all restrictions, see the AWS docs here:\nhttp://docs.aws.amazon.com/AWSEC2/latest/UserGuide/Using_Tags.html#tag-restrictions","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterTag.value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.InstancePoolClusterAttributes.custom_tags"},"disk_spec":{"description":"Defines the specification of the disks that will be attached to all spark containers.","$ref":"#/components/schemas/compute.DiskSpec","x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.InstancePoolClusterAttributes.disk_spec","x-databricks-sdk-name":"DiskSpec","x-databricks-legacy-name":"DiskSpec","x-databricks-stable-name":"DiskSpec"},"enable_elastic_disk":{"description":"Autoscaling Local Storage: when enabled, this instances in this pool will dynamically acquire\nadditional disk space when its Spark workers are running low on disk space. In AWS, this\nfeature requires specific AWS permissions to function correctly - refer to the User Guide for\nmore details.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.InstancePoolClusterAttributes.enable_elastic_disk"},"idle_instance_autotermination_minutes":{"description":"Automatically terminates the extra instances in the pool cache after they are inactive for this\ntime in minutes if min_idle_instances requirement is already met. If not set, the extra pool\ninstances will be automatically terminated after a default timeout. 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A list of available Spark versions\ncan be retrieved by using the :method:clusters/sparkVersions API call.","type":"array","items":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.InstancePoolClusterAttributes.preloaded_spark_versions.array_value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.InstancePoolClusterAttributes.preloaded_spark_versions"}},"x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"CreateInstancePool","x-databricks-legacy-name":"CreateInstancePool","x-databricks-stable-name":"CreateInstancePool"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_instance_pools_delete","parameters":{"data":{"type":"object","required":["instance_pool_id"],"properties":{"instance_pool_id":{"description":"The instance pool to be terminated.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.DeleteInstancePool.instance_pool_id","example":"1234-567890-fetch12-pool-A3BcdEFg"}},"x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"DeleteInstancePool","x-databricks-legacy-name":"DeleteInstancePool","x-databricks-stable-name":"DeleteInstancePool"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_instance_pools_edit","parameters":{"data":{"type":"object","required":["instance_pool_id","instance_pool_name","node_type_id"],"properties":{"custom_tags":{"description":"Additional tags for pool resources. 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A list of available node\ntypes can be retrieved by using the :method:clusters/listNodeTypes API call.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.InstancePoolClusterAttributes.node_type_id"}},"x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"EditInstancePool","x-databricks-legacy-name":"EditInstancePool","x-databricks-stable-name":"EditInstancePool"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_instance_pools_get","parameters":{"instance_pool_id":{"type":"string","description":"The canonical unique identifier for the instance pool."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_instance_pools_list","parameters":{}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_instance_profiles_add","parameters":{"data":{"type":"object","required":["instance_profile_arn"],"properties":{"iam_role_arn":{"description":"The AWS IAM role ARN of the role associated with the instance profile.\nThis field is required if your role name and instance profile name do\nnot match and you want to use the instance profile with\n[Databricks SQL Serverless](https://docs.databricks.com/sql/admin/serverless.html).\n\nOtherwise, this field is optional.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"instanceProfiles.InstanceProfile.iam_role_arn","example":"arn:aws:iam:::role/"},"instance_profile_arn":{"description":"The AWS ARN of the instance profile to register with Databricks. 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This event type can only be specified for a registry-wide webhook, which can be created by not specifying a model name in the create request.\n\n* `MODEL_VERSION_TAG_SET`: A user set a tag on the model version.\n\n* `MODEL_VERSION_TRANSITIONED_TO_STAGING`: A model version was transitioned to staging.\n\n* `MODEL_VERSION_TRANSITIONED_TO_PRODUCTION`: A model version was transitioned to production.\n\n* `MODEL_VERSION_TRANSITIONED_TO_ARCHIVED`: A model version was archived.\n\n* `TRANSITION_REQUEST_TO_STAGING_CREATED`: A user requested a model version be transitioned to staging.\n\n* `TRANSITION_REQUEST_TO_PRODUCTION_CREATED`: A user requested a model version be transitioned to production.\n\n* `TRANSITION_REQUEST_TO_ARCHIVED_CREATED`: A user requested a model version be archived.","type":"array","items":{"$ref":"#/components/schemas/ml.RegistryWebhookEvent","x-databricks-package-name":"ml","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.CreateRegistryWebhook.events.array_value","x-databricks-sdk-name":"RegistryWebhookEvent","x-databricks-legacy-name":"RegistryWebhookEvent","x-databricks-stable-name":"RegistryWebhookEvent"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.CreateRegistryWebhook.events","example":["MODEL_VERSION_CREATED","MODEL_VERSION_TRANSITIONED_TO_STAGING","COMMENT_CREATED"]},"http_url_spec":{"description":"External HTTPS URL called on event trigger (by using a POST request).","$ref":"#/components/schemas/ml.HttpUrlSpec","x-databricks-package-name":"ml","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.CreateRegistryWebhook.http_url_spec","x-databricks-sdk-name":"HttpUrlSpec","x-databricks-legacy-name":"HttpUrlSpec","x-databricks-stable-name":"HttpUrlSpec"},"job_spec":{"description":"ID of the job that the webhook runs.","$ref":"#/components/schemas/ml.JobSpec","x-databricks-package-name":"ml","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.CreateRegistryWebhook.job_spec","x-databricks-sdk-name":"JobSpec","x-databricks-legacy-name":"JobSpec","x-databricks-stable-name":"JobSpec"},"model_name":{"description":"If model name is not specified, a registry-wide webhook is created that listens for the specified events across all versions of all registered models.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.CreateRegistryWebhook.model_name","example":"registered-model-1"},"status":{"description":"Enable or disable triggering the webhook, or put the webhook into test mode. The default is `ACTIVE`:\n* `ACTIVE`: Webhook is triggered when an associated event happens.\n\n* `DISABLED`: Webhook is not triggered.\n\n* `TEST_MODE`: Webhook can be triggered through the test endpoint, but is not triggered on a real event.","$ref":"#/components/schemas/ml.RegistryWebhookStatus","x-databricks-package-name":"ml","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.CreateRegistryWebhook.status","x-databricks-sdk-name":"RegistryWebhookStatus","x-databricks-legacy-name":"RegistryWebhookStatus","x-databricks-stable-name":"RegistryWebhookStatus","default":"ACTIVE"}},"x-databricks-package-name":"ml","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"CreateRegistryWebhook","x-databricks-legacy-name":"CreateRegistryWebhook","x-databricks-stable-name":"CreateRegistryWebhook"}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.0_mlflow_registry_webhooks_delete","parameters":{"id":{"type":"string","description":"Webhook ID required to delete a registry webhook."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_mlflow_registry_webhooks_list","parameters":{"model_name":{"type":"string","description":"Registered model name\nIf not specified, all webhooks associated with the specified events are listed, regardless of their associated model."},"events":{"type":"array","description":"Events that trigger the webhook.\n* `MODEL_VERSION_CREATED`: A new model version was created for the associated model.\n\n* `MODEL_VERSION_TRANSITIONED_STAGE`: A model version’s stage was changed.\n\n* `TRANSITION_REQUEST_CREATED`: A user requested a model version’s stage be transitioned.\n\n* `COMMENT_CREATED`: A user wrote a comment on a registered model.\n\n* `REGISTERED_MODEL_CREATED`: A new registered model was created. This event type can only be specified for a registry-wide webhook, which can be created by not specifying a model name in the create request.\n\n* `MODEL_VERSION_TAG_SET`: A user set a tag on the model version.\n\n* `MODEL_VERSION_TRANSITIONED_TO_STAGING`: A model version was transitioned to staging.\n\n* `MODEL_VERSION_TRANSITIONED_TO_PRODUCTION`: A model version was transitioned to production.\n\n* `MODEL_VERSION_TRANSITIONED_TO_ARCHIVED`: A model version was archived.\n\n* `TRANSITION_REQUEST_TO_STAGING_CREATED`: A user requested a model version be transitioned to staging.\n\n* `TRANSITION_REQUEST_TO_PRODUCTION_CREATED`: A user requested a model version be transitioned to production.\n\n* `TRANSITION_REQUEST_TO_ARCHIVED_CREATED`: A user requested a model version be archived.\n\nIf `events` is specified, any webhook with one or more of the specified trigger events is included in the output.\nIf `events` is not specified, webhooks of all event types are included in the output."},"page_token":{"type":"string","description":"Token indicating the page of artifact results to fetch"},"max_results":{"type":"integer"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_mlflow_registry_webhooks_test","parameters":{"data":{"description":"Details required to test a registry webhook.","type":"object","required":["id"],"properties":{"event":{"description":"If `event` is specified, the test trigger uses the specified event. If `event` is not specified, the test trigger uses a randomly chosen event associated with the webhook.","$ref":"#/components/schemas/ml.RegistryWebhookEvent","x-databricks-package-name":"ml","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.TestRegistryWebhook.event","x-databricks-sdk-name":"RegistryWebhookEvent","x-databricks-legacy-name":"RegistryWebhookEvent","x-databricks-stable-name":"RegistryWebhookEvent"},"id":{"description":"Webhook ID","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.TestRegistryWebhook.id","example":"124323"}},"x-databricks-package-name":"ml","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"TestRegistryWebhookRequest","x-databricks-legacy-name":"TestRegistryWebhookRequest","x-databricks-stable-name":"TestRegistryWebhookRequest"}}},{"connectionName":"databricks-workspace","actionName":"patch_api_2.0_mlflow_registry_webhooks_update","parameters":{"data":{"description":"Details required to update a registry webhook. 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This event type can only be specified for a registry-wide webhook, which can be created by not specifying a model name in the create request.\n\n* `MODEL_VERSION_TAG_SET`: A user set a tag on the model version.\n\n* `MODEL_VERSION_TRANSITIONED_TO_STAGING`: A model version was transitioned to staging.\n\n* `MODEL_VERSION_TRANSITIONED_TO_PRODUCTION`: A model version was transitioned to production.\n\n* `MODEL_VERSION_TRANSITIONED_TO_ARCHIVED`: A model version was archived.\n\n* `TRANSITION_REQUEST_TO_STAGING_CREATED`: A user requested a model version be transitioned to staging.\n\n* `TRANSITION_REQUEST_TO_PRODUCTION_CREATED`: A user requested a model version be transitioned to production.\n\n* `TRANSITION_REQUEST_TO_ARCHIVED_CREATED`: A user requested a model version be archived.","type":"array","items":{"$ref":"#/components/schemas/ml.RegistryWebhookEvent","x-databricks-package-name":"ml","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.UpdateRegistryWebhook.events.array_value","x-databricks-sdk-name":"RegistryWebhookEvent","x-databricks-legacy-name":"RegistryWebhookEvent","x-databricks-stable-name":"RegistryWebhookEvent"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.UpdateRegistryWebhook.events","example":["MODEL_VERSION_CREATED","MODEL_VERSION_TRANSITIONED_TO_STAGING","COMMENT_CREATED"]},"http_url_spec":{"$ref":"#/components/schemas/ml.HttpUrlSpec","x-databricks-package-name":"ml","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.UpdateRegistryWebhook.http_url_spec","x-databricks-sdk-name":"HttpUrlSpec","x-databricks-legacy-name":"HttpUrlSpec","x-databricks-stable-name":"HttpUrlSpec"},"id":{"description":"Webhook ID","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.UpdateRegistryWebhook.id","example":"124323"},"job_spec":{"$ref":"#/components/schemas/ml.JobSpec","x-databricks-package-name":"ml","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.UpdateRegistryWebhook.job_spec","x-databricks-sdk-name":"JobSpec","x-databricks-legacy-name":"JobSpec","x-databricks-stable-name":"JobSpec"},"status":{"$ref":"#/components/schemas/ml.RegistryWebhookStatus","x-databricks-package-name":"ml","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.UpdateRegistryWebhook.status","x-databricks-sdk-name":"RegistryWebhookStatus","x-databricks-legacy-name":"RegistryWebhookStatus","x-databricks-stable-name":"RegistryWebhookStatus"}},"x-databricks-package-name":"ml","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"UpdateRegistryWebhook","x-databricks-legacy-name":"UpdateRegistryWebhook","x-databricks-stable-name":"UpdateRegistryWebhook"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_mlflow_runs_create","parameters":{"data":{"type":"object","properties":{"experiment_id":{"description":"ID of the associated experiment.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.CreateRun.experiment_id"},"run_name":{"description":"The name of the run.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.CreateRun.run_name"},"start_time":{"description":"Unix timestamp in milliseconds of when the run started.","type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.CreateRun.start_time"},"tags":{"description":"Additional metadata for run.","type":"array","items":{"$ref":"#/components/schemas/ml.RunTag","x-databricks-package-name":"ml","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.CreateRun.tags.array_value","x-databricks-sdk-name":"RunTag","x-databricks-legacy-name":"RunTag","x-databricks-stable-name":"RunTag"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.CreateRun.tags"},"user_id":{"description":"ID of the user executing the run.\nThis field is deprecated as of MLflow 1.0, and will be removed in a future\nMLflow release. 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Maximum size is 255 bytes. Must be provided.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.DeleteTag.key"},"run_id":{"description":"ID of the run that the tag was logged under. Must be provided.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.DeleteTag.run_id"}},"x-databricks-package-name":"ml","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"DeleteTag","x-databricks-legacy-name":"DeleteTag","x-databricks-stable-name":"DeleteTag"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_mlflow_runs_get","parameters":{"run_id":{"type":"string","description":"ID of the run to fetch. Must be provided."},"run_uuid":{"type":"string","description":"[Deprecated, use `run_id` instead] ID of the run to fetch. This field will\nbe removed in a future MLflow version."}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_mlflow_runs_log_batch","parameters":{"data":{"type":"object","properties":{"metrics":{"description":"Metrics to log. A single request can contain up to 1000 metrics, and up to 1000\nmetrics, params, and tags in total.","type":"array","items":{"$ref":"#/components/schemas/ml.Metric","x-databricks-package-name":"ml","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.LogBatch.metrics.array_value","x-databricks-sdk-name":"Metric","x-databricks-legacy-name":"Metric","x-databricks-stable-name":"Metric"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.LogBatch.metrics"},"params":{"description":"Params to log. A single request can contain up to 100 params, and up to 1000\nmetrics, params, and tags in total.","type":"array","items":{"$ref":"#/components/schemas/ml.Param","x-databricks-package-name":"ml","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.LogBatch.params.array_value","x-databricks-sdk-name":"Param","x-databricks-legacy-name":"Param","x-databricks-stable-name":"Param"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.LogBatch.params"},"run_id":{"description":"ID of the run to log under","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.LogBatch.run_id"},"tags":{"description":"Tags to log. 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It’s recommended to always explicitly list the fields being updated and avoid using `*` wildcards, as it can lead to unintended results if the API changes in the future.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"settingspolicyservice.external.PatchPublicWorkspaceSettingRequest.field_mask","x-databricks-well-known-type":"google.protobuf.FieldMask"},"setting":{"$ref":"#/components/schemas/settings.ComplianceSecurityProfileSetting","x-databricks-package-name":"settings","x-databricks-api-version":"legacy","x-databricks-schema-id":"settingspolicyservice.external.PatchPublicWorkspaceSettingRequest.setting","x-databricks-sdk-name":"ComplianceSecurityProfileSetting","x-databricks-legacy-name":"ComplianceSecurityProfileSetting","x-databricks-stable-name":"ComplianceSecurityProfileSetting"}},"x-databricks-package-name":"settings","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"UpdateComplianceSecurityProfileSettingRequest","x-databricks-legacy-name":"UpdateComplianceSecurityProfileSettingRequest","x-databricks-stable-name":"UpdateComplianceSecurityProfileSettingRequest"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_settings_types_shield_esm_enablement_ws_db_names_default","parameters":{"etag":{"type":"string","description":"etag used for versioning. The response is at least as fresh as the eTag\nprovided. This is used for optimistic concurrency control as a way to\nhelp prevent simultaneous writes of a setting overwriting each other. It\nis strongly suggested that systems make use of the etag in the read ->\ndelete pattern to perform setting deletions in order to avoid race\nconditions. That is, get an etag from a GET request, and pass it with the\nDELETE request to identify the rule set version you are deleting."}}},{"connectionName":"databricks-workspace","actionName":"patch_api_2.0_settings_types_shield_esm_enablement_ws_db_names_default","parameters":{"data":{"description":"Details required to update a setting.","type":"object","required":["allow_missing","setting","field_mask"],"properties":{"allow_missing":{"description":"This should always be set to true for Settings API. Added for AIP compliance.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"settingspolicyservice.external.PatchPublicWorkspaceSettingRequest.allow_missing"},"field_mask":{"description":"The field mask must be a single string, with multiple fields separated by commas (no spaces). The field path is relative to the resource object, using a dot (`.`) to navigate sub-fields (e.g., `author.given_name`). Specification of elements in sequence or map fields is not allowed, as only the entire collection field can be specified. Field names must exactly match the resource field names.\n\nA field mask of `*` indicates full replacement. It’s recommended to always explicitly list the fields being updated and avoid using `*` wildcards, as it can lead to unintended results if the API changes in the future.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"settingspolicyservice.external.PatchPublicWorkspaceSettingRequest.field_mask","x-databricks-well-known-type":"google.protobuf.FieldMask"},"setting":{"$ref":"#/components/schemas/settings.EnhancedSecurityMonitoringSetting","x-databricks-package-name":"settings","x-databricks-api-version":"legacy","x-databricks-schema-id":"settingspolicyservice.external.PatchPublicWorkspaceSettingRequest.setting","x-databricks-sdk-name":"EnhancedSecurityMonitoringSetting","x-databricks-legacy-name":"EnhancedSecurityMonitoringSetting","x-databricks-stable-name":"EnhancedSecurityMonitoringSetting"}},"x-databricks-package-name":"settings","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"UpdateEnhancedSecurityMonitoringSettingRequest","x-databricks-legacy-name":"UpdateEnhancedSecurityMonitoringSettingRequest","x-databricks-stable-name":"UpdateEnhancedSecurityMonitoringSettingRequest"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_settings_types_sql_results_download_names_default","parameters":{"etag":{"type":"string","description":"etag used for versioning. The response is at least as fresh as the eTag\nprovided. This is used for optimistic concurrency control as a way to\nhelp prevent simultaneous writes of a setting overwriting each other. It\nis strongly suggested that systems make use of the etag in the read ->\ndelete pattern to perform setting deletions in order to avoid race\nconditions. That is, get an etag from a GET request, and pass it with the\nDELETE request to identify the rule set version you are deleting."}}},{"connectionName":"databricks-workspace","actionName":"patch_api_2.0_settings_types_sql_results_download_names_default","parameters":{"data":{"description":"Details required to update a setting.","type":"object","required":["allow_missing","setting","field_mask"],"properties":{"allow_missing":{"description":"This should always be set to true for Settings API. Added for AIP compliance.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"settingspolicyservice.external.PatchPublicWorkspaceSettingRequest.allow_missing"},"field_mask":{"description":"The field mask must be a single string, with multiple fields separated by commas (no spaces). The field path is relative to the resource object, using a dot (`.`) to navigate sub-fields (e.g., `author.given_name`). Specification of elements in sequence or map fields is not allowed, as only the entire collection field can be specified. Field names must exactly match the resource field names.\n\nA field mask of `*` indicates full replacement. It’s recommended to always explicitly list the fields being updated and avoid using `*` wildcards, as it can lead to unintended results if the API changes in the future.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"settingspolicyservice.external.PatchPublicWorkspaceSettingRequest.field_mask","x-databricks-well-known-type":"google.protobuf.FieldMask"},"setting":{"$ref":"#/components/schemas/settings.SqlResultsDownload","x-databricks-package-name":"settings","x-databricks-api-version":"legacy","x-databricks-schema-id":"settingspolicyservice.external.PatchPublicWorkspaceSettingRequest.setting","x-databricks-sdk-name":"SqlResultsDownload","x-databricks-legacy-name":"SqlResultsDownload","x-databricks-stable-name":"SqlResultsDownload"}},"x-databricks-package-name":"settings","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"UpdateSqlResultsDownloadRequest","x-databricks-legacy-name":"UpdateSqlResultsDownloadRequest","x-databricks-stable-name":"UpdateSqlResultsDownloadRequest"}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.0_settings_types_sql_results_download_names_default","parameters":{"etag":{"type":"string","description":"etag used for versioning. The response is at least as fresh as the eTag\nprovided. This is used for optimistic concurrency control as a way to\nhelp prevent simultaneous writes of a setting overwriting each other. It\nis strongly suggested that systems make use of the etag in the read ->\ndelete pattern to perform setting deletions in order to avoid race\nconditions. That is, get an etag from a GET request, and pass it with the\nDELETE request to identify the rule set version you are deleting."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_sql_alerts","parameters":{"page_token":{"type":"string"},"page_size":{"type":"integer"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_sql_alerts","parameters":{"data":{"type":"object","properties":{"alert":{"$ref":"#/components/schemas/sql.CreateAlertRequestAlert","x-databricks-package-name":"sql","x-databricks-api-version":"legacy","x-databricks-schema-id":"redashv2.external.CreateAlertRequest.alert","x-databricks-sdk-name":"CreateAlertRequestAlert","x-databricks-legacy-name":"CreateAlertRequestAlert","x-databricks-stable-name":"CreateAlertRequestAlert"},"auto_resolve_display_name":{"description":"If true, automatically resolve alert display name conflicts. Otherwise, fail the request if the alert's display name conflicts with an existing alert's display name.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"redashv2.external.CreateAlertRequest.auto_resolve_display_name","default":true}},"x-databricks-package-name":"sql","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"CreateAlertRequest","x-databricks-legacy-name":"CreateAlertRequest","x-databricks-stable-name":"CreateAlertRequest"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_sql_alerts_by_id","parameters":{"id":{"type":"string"}}},{"connectionName":"databricks-workspace","actionName":"patch_api_2.0_sql_alerts_by_id","parameters":{"id":{"type":"string"},"data":{"type":"object","required":["update_mask"],"properties":{"alert":{"$ref":"#/components/schemas/sql.UpdateAlertRequestAlert","x-databricks-package-name":"sql","x-databricks-api-version":"legacy","x-databricks-schema-id":"redashv2.external.UpdateAlertRequest.alert","x-databricks-sdk-name":"UpdateAlertRequestAlert","x-databricks-legacy-name":"UpdateAlertRequestAlert","x-databricks-stable-name":"UpdateAlertRequestAlert"},"auto_resolve_display_name":{"description":"If true, automatically resolve alert display name conflicts. Otherwise, fail the request if the alert's display name conflicts with an existing alert's display name.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"redashv2.external.UpdateAlertRequest.auto_resolve_display_name","default":true},"update_mask":{"description":"The field mask must be a single string, with multiple fields separated by commas (no spaces). The field path is relative to the resource object, using a dot (`.`) to navigate sub-fields (e.g., `author.given_name`). Specification of elements in sequence or map fields is not allowed, as only the entire collection field can be specified. Field names must exactly match the resource field names.\n\nA field mask of `*` indicates full replacement. It’s recommended to always explicitly list the fields being updated and avoid using `*` wildcards, as it can lead to unintended results if the API changes in the future.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"redashv2.external.UpdateAlertRequest.update_mask","x-databricks-well-known-type":"google.protobuf.FieldMask"}},"x-databricks-package-name":"sql","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"UpdateAlertRequest","x-databricks-legacy-name":"UpdateAlertRequest","x-databricks-stable-name":"UpdateAlertRequest"}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.0_sql_alerts_by_id","parameters":{"id":{"type":"string"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_sql_config_warehouses","parameters":{}},{"connectionName":"databricks-workspace","actionName":"put_api_2.0_sql_config_warehouses","parameters":{"data":{"type":"object","properties":{"channel":{"description":"Optional: Channel selection details","$ref":"#/components/schemas/sql.Channel","x-databricks-package-name":"sql","x-databricks-api-version":"legacy","x-databricks-sdk-name":"Channel","x-databricks-legacy-name":"Channel","x-databricks-stable-name":"Channel"},"config_param":{"description":"Deprecated: Use sql_configuration_parameters","$ref":"#/components/schemas/sql.RepeatedEndpointConfPairs","x-databricks-package-name":"sql","x-databricks-api-version":"legacy","deprecated":true,"x-databricks-sdk-name":"RepeatedEndpointConfPairs","x-databricks-legacy-name":"RepeatedEndpointConfPairs","x-databricks-stable-name":"RepeatedEndpointConfPairs"},"data_access_config":{"description":"Spark confs for external hive metastore configuration\nJSON serialized size must be less than <= 512K","type":"array","items":{"$ref":"#/components/schemas/sql.EndpointConfPair","x-databricks-package-name":"sql","x-databricks-api-version":"legacy","x-databricks-sdk-name":"EndpointConfPair","x-databricks-legacy-name":"EndpointConfPair","x-databricks-stable-name":"EndpointConfPair"},"x-databricks-api-version":"legacy"},"enabled_warehouse_types":{"description":"List of Warehouse Types allowed in this workspace (limits allowed value of the\ntype field in CreateWarehouse and EditWarehouse).\nNote: Some types cannot be disabled, they don't need to be specified\n in SetWorkspaceWarehouseConfig.\nNote: Disabling a type may cause existing warehouses to be converted to another type.\nUsed by frontend to save specific type availability in the warehouse create and edit form UI.","type":"array","items":{"$ref":"#/components/schemas/sql.WarehouseTypePair","x-databricks-package-name":"sql","x-databricks-api-version":"legacy","x-databricks-sdk-name":"WarehouseTypePair","x-databricks-legacy-name":"WarehouseTypePair","x-databricks-stable-name":"WarehouseTypePair"},"x-databricks-api-version":"legacy"},"global_param":{"description":"Deprecated: Use sql_configuration_parameters","$ref":"#/components/schemas/sql.RepeatedEndpointConfPairs","x-databricks-package-name":"sql","x-databricks-api-version":"legacy","deprecated":true,"x-databricks-sdk-name":"RepeatedEndpointConfPairs","x-databricks-legacy-name":"RepeatedEndpointConfPairs","x-databricks-stable-name":"RepeatedEndpointConfPairs"},"google_service_account":{"description":"GCP only: Google Service Account used to pass to cluster to access Google Cloud Storage","type":"string","x-databricks-api-version":"legacy"},"instance_profile_arn":{"description":"AWS Only: Instance profile used to pass IAM role to the cluster","type":"string","x-databricks-api-version":"legacy"},"security_policy":{"description":"Security policy for warehouses","$ref":"#/components/schemas/sql.SetWorkspaceWarehouseConfigRequestSecurityPolicy","x-databricks-package-name":"sql","x-databricks-api-version":"legacy","x-databricks-sdk-name":"SetWorkspaceWarehouseConfigRequestSecurityPolicy","x-databricks-legacy-name":"SetWorkspaceWarehouseConfigRequestSecurityPolicy","x-databricks-stable-name":"SetWorkspaceWarehouseConfigRequestSecurityPolicy"},"sql_configuration_parameters":{"description":"SQL configuration parameters","$ref":"#/components/schemas/sql.RepeatedEndpointConfPairs","x-databricks-package-name":"sql","x-databricks-api-version":"legacy","x-databricks-sdk-name":"RepeatedEndpointConfPairs","x-databricks-legacy-name":"RepeatedEndpointConfPairs","x-databricks-stable-name":"RepeatedEndpointConfPairs"}},"x-databricks-package-name":"sql","x-databricks-api-version":"legacy","x-databricks-sdk-name":"SetWorkspaceWarehouseConfigRequest","x-databricks-legacy-name":"SetWorkspaceWarehouseConfigRequest","x-databricks-stable-name":"SetWorkspaceWarehouseConfigRequest"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_sql_history_queries","parameters":{"filter_by":{"type":"object","description":"An optional filter object to limit query history results. Accepts parameters such as user IDs, endpoint IDs, and statuses to narrow the returned data.\nIn a URL, the parameters of this filter are specified with dot notation. For example: `filter_by.statement_ids`."},"max_results":{"type":"integer","description":"Limit the number of results returned in one page. Must be less than 1000 and the default is 100."},"page_token":{"type":"string","description":"A token that can be used to get the next page of results. The token can contains characters that need to be encoded before using it in a URL.\nFor example, the character '+' needs to be replaced by %2B. This field is optional."},"include_metrics":{"type":"boolean","description":"Whether to include the query metrics with each query.\nOnly use this for a small subset of queries (max_results).\nDefaults to false."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_sql_queries","parameters":{"page_token":{"type":"string"},"page_size":{"type":"integer"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_sql_queries","parameters":{"data":{"type":"object","properties":{"auto_resolve_display_name":{"description":"If true, automatically resolve query display name conflicts. Otherwise, fail the request if the query's display name conflicts with an existing query's display name.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"redashv2.external.CreateQueryRequest.auto_resolve_display_name","default":true},"query":{"$ref":"#/components/schemas/sql.CreateQueryRequestQuery","x-databricks-package-name":"sql","x-databricks-api-version":"legacy","x-databricks-schema-id":"redashv2.external.CreateQueryRequest.query","x-databricks-sdk-name":"CreateQueryRequestQuery","x-databricks-legacy-name":"CreateQueryRequestQuery","x-databricks-stable-name":"CreateQueryRequestQuery"}},"x-databricks-package-name":"sql","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"CreateQueryRequest","x-databricks-legacy-name":"CreateQueryRequest","x-databricks-stable-name":"CreateQueryRequest"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_sql_queries_by_id","parameters":{"id":{"type":"string"}}},{"connectionName":"databricks-workspace","actionName":"patch_api_2.0_sql_queries_by_id","parameters":{"id":{"type":"string"},"data":{"type":"object","required":["update_mask"],"properties":{"auto_resolve_display_name":{"description":"If true, automatically resolve alert display name conflicts. Otherwise, fail the request if the alert's display name conflicts with an existing alert's display name.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"redashv2.external.UpdateQueryRequest.auto_resolve_display_name","default":true},"query":{"$ref":"#/components/schemas/sql.UpdateQueryRequestQuery","x-databricks-package-name":"sql","x-databricks-api-version":"legacy","x-databricks-schema-id":"redashv2.external.UpdateQueryRequest.query","x-databricks-sdk-name":"UpdateQueryRequestQuery","x-databricks-legacy-name":"UpdateQueryRequestQuery","x-databricks-stable-name":"UpdateQueryRequestQuery"},"update_mask":{"description":"The field mask must be a single string, with multiple fields separated by commas (no spaces). The field path is relative to the resource object, using a dot (`.`) to navigate sub-fields (e.g., `author.given_name`). Specification of elements in sequence or map fields is not allowed, as only the entire collection field can be specified. Field names must exactly match the resource field names.\n\nA field mask of `*` indicates full replacement. It’s recommended to always explicitly list the fields being updated and avoid using `*` wildcards, as it can lead to unintended results if the API changes in the future.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"redashv2.external.UpdateQueryRequest.update_mask","x-databricks-well-known-type":"google.protobuf.FieldMask"}},"x-databricks-package-name":"sql","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"UpdateQueryRequest","x-databricks-legacy-name":"UpdateQueryRequest","x-databricks-stable-name":"UpdateQueryRequest"}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.0_sql_queries_by_id","parameters":{"id":{"type":"string"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_sql_statements","parameters":{"data":{"type":"object","required":["statement","warehouse_id"],"properties":{"byte_limit":{"description":"Applies the given byte limit to the statement's result size. Byte counts are based on\ninternal data representations and might not match the final size in the requested\n`format`. If the result was truncated due to the byte limit, then `truncated` in the response is set to `true`.\nWhen using `EXTERNAL_LINKS` disposition, a default `byte_limit` of 100 GiB\nis applied if `byte_limit` is not explcitly set.\n","type":"integer","format":"int64","x-databricks-api-version":"legacy"},"catalog":{"description":"Sets default catalog for statement execution, similar to [`USE CATALOG`](https://docs.databricks.com/sql/language-manual/sql-ref-syntax-ddl-use-catalog.html) in SQL.\n","type":"string","x-databricks-api-version":"legacy"},"disposition":{"$ref":"#/components/schemas/sql.Disposition","x-databricks-package-name":"sql","x-databricks-api-version":"legacy","x-databricks-sdk-name":"Disposition","x-databricks-legacy-name":"Disposition","x-databricks-stable-name":"Disposition"},"format":{"description":"Statement execution supports three result formats: `JSON_ARRAY` (default), `ARROW_STREAM`, and `CSV`.\n\nImportant: The formats `ARROW_STREAM` and `CSV` are supported only with `EXTERNAL_LINKS` disposition.\n`JSON_ARRAY` is supported in `INLINE` and `EXTERNAL_LINKS` disposition.\n\nWhen specifying `format=JSON_ARRAY`, result data will be formatted as an array of arrays of values, where each\nvalue is either the *string representation* of a value, or `null`.\nFor example, the output of `SELECT concat('id-', id) AS strCol, id AS intCol, null AS nullCol FROM range(3)` would look like this:\n\n```\n[\n [ \"id-1\", \"1\", null ],\n [ \"id-2\", \"2\", null ],\n [ \"id-3\", \"3\", null ],\n]\n```\n\nWhen specifying `format=JSON_ARRAY` and `disposition=EXTERNAL_LINKS`, each chunk in the result contains compact\nJSON with no indentation or extra whitespace.\n\nWhen specifying `format=ARROW_STREAM` and `disposition=EXTERNAL_LINKS`, each chunk in the result will be formatted as Apache Arrow Stream. See\nthe [Apache Arrow streaming format](https://arrow.apache.org/docs/format/Columnar.html#ipc-streaming-format).\n\nWhen specifying `format=CSV` and `disposition=EXTERNAL_LINKS`, each chunk in the result will be a CSV according\nto [RFC 4180](https://www.rfc-editor.org/rfc/rfc4180) standard.\nAll the columns values will have *string representation* similar to the `JSON_ARRAY` format, and `null` values will be encoded as “null”.\nOnly the first chunk in the result would contain a header row with column names.\nFor example, the output of `SELECT concat('id-', id) AS strCol, id AS intCol, null as nullCol FROM range(3)` would look like this:\n\n```\nstrCol,intCol,nullCol\nid-1,1,null\nid-2,2,null\nid-3,3,null\n```\n","$ref":"#/components/schemas/sql.Format","x-databricks-package-name":"sql","x-databricks-api-version":"legacy","x-databricks-sdk-name":"Format","x-databricks-legacy-name":"Format","x-databricks-stable-name":"Format","default":"JSON_ARRAY"},"on_wait_timeout":{"description":"When `wait_timeout > 0s`, the call will block up to the specified time. If the statement execution doesn't\nfinish within this time, `on_wait_timeout` determines whether the execution should continue or be canceled.\nWhen set to `CONTINUE`, the statement execution continues asynchronously and the call returns a statement ID\nwhich can be used for polling with :method:statementexecution/getStatement. When set to `CANCEL`,\nthe statement execution is canceled and the call returns with a `CANCELED` state.\n","$ref":"#/components/schemas/sql.ExecuteStatementRequestOnWaitTimeout","x-databricks-package-name":"sql","x-databricks-api-version":"legacy","x-databricks-sdk-name":"ExecuteStatementRequestOnWaitTimeout","x-databricks-legacy-name":"ExecuteStatementRequestOnWaitTimeout","x-databricks-stable-name":"ExecuteStatementRequestOnWaitTimeout"},"parameters":{"description":"A list of parameters to pass into a SQL statement containing parameter markers. A\nparameter consists of a name, a value, and optionally a type. To represent a NULL\nvalue, the `value` field may be omitted or set to `null` explicitly. If the `type` field\nis omitted, the value is interpreted as a string.\n\nIf the type is given, parameters will be checked for type correctness according\nto the given type. A value is correct if the provided string can be converted to\nthe requested type using the `cast` function. The exact semantics are described in\nthe section [`cast` function](https://docs.databricks.com/sql/language-manual/functions/cast.html) of the SQL language reference.\n\nFor example, the following statement contains two parameters, `my_name` and `my_date`:\n\n SELECT * FROM my_table WHERE name = :my_name AND date = :my_date\n\nThe parameters can be passed in the request body as follows:\n\n {\n ...,\n \"statement\": \"SELECT * FROM my_table WHERE name = :my_name AND date = :my_date\",\n \"parameters\": [\n { \"name\": \"my_name\", \"value\": \"the name\" },\n { \"name\": \"my_date\", \"value\": \"2020-01-01\", \"type\": \"DATE\" }\n ]\n }\n\nCurrently, positional parameters denoted by a `?` marker are not supported by the\nDatabricks SQL Statement Execution API.\n\nAlso see the section [Parameter markers](https://docs.databricks.com/sql/language-manual/sql-ref-parameter-marker.html) of the SQL language reference.\n","type":"array","items":{"$ref":"#/components/schemas/sql.StatementParameterListItem","x-databricks-package-name":"sql","x-databricks-api-version":"legacy","x-databricks-sdk-name":"StatementParameterListItem","x-databricks-legacy-name":"StatementParameterListItem","x-databricks-stable-name":"StatementParameterListItem"},"x-databricks-api-version":"legacy"},"row_limit":{"description":"Applies the given row limit to the statement's result set, but unlike the `LIMIT` clause in SQL,\nit also sets the `truncated` field in the response to indicate whether the result was trimmed due to the limit or not.\n","type":"integer","format":"int64","x-databricks-api-version":"legacy"},"schema":{"description":"Sets default schema for statement execution, similar to [`USE SCHEMA`](https://docs.databricks.com/sql/language-manual/sql-ref-syntax-ddl-use-schema.html) in SQL.\n","type":"string","x-databricks-api-version":"legacy"},"statement":{"description":"The SQL statement to execute. The statement can optionally be parameterized, see `parameters`. The maximum query text size is 16 MiB.","type":"string","x-databricks-api-version":"legacy","example":"SELECT * FROM range(10)"},"wait_timeout":{"description":"The time in seconds the call will wait for the statement's result set as `Ns`, where `N` can be set to 0 or\nto a value between 5 and 50.\n\nWhen set to `0s`, the statement will execute in asynchronous mode and the call will not\nwait for the execution to finish. In this case, the call returns\ndirectly with `PENDING` state and a statement ID which can be used for polling\nwith :method:statementexecution/getStatement.\n\nWhen set between 5 and 50 seconds, the call will behave\nsynchronously up to this timeout and wait for the statement execution to finish. If the execution\nfinishes within this time, the call returns immediately with a manifest and result data\n(or a `FAILED` state in case of an execution error). If the statement takes longer to execute,\n`on_wait_timeout` determines what should happen after the timeout is reached.\n","type":"string","x-databricks-api-version":"legacy","default":"10s"},"warehouse_id":{"description":"Warehouse upon which to execute a statement. See also [What are SQL warehouses?](https://docs.databricks.com/sql/admin/warehouse-type.html)\n","type":"string","x-databricks-api-version":"legacy"}},"x-databricks-package-name":"sql","x-databricks-api-version":"legacy","x-databricks-sdk-name":"ExecuteStatementRequest","x-databricks-legacy-name":"ExecuteStatementRequest","x-databricks-stable-name":"ExecuteStatementRequest"}}},{"connectionName":"databricks-workspace","actionName":"parameters_api_2.0_sql_statements_by_statement_id","parameters":{"statement_id":{"type":"string"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_sql_statements_by_statement_id","parameters":{"statement_id":{"type":"string"}}},{"connectionName":"databricks-workspace","actionName":"parameters_api_2.0_sql_statements_by_statement_id_cancel","parameters":{"statement_id":{"type":"string"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_sql_statements_by_statement_id_cancel","parameters":{"statement_id":{"type":"string"}}},{"connectionName":"databricks-workspace","actionName":"parameters_api_2.0_sql_statements_by_statement_id_result_chunks_by_chunk_index","parameters":{"statement_id":{"type":"string"},"chunk_index":{"type":"string"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_sql_statements_by_statement_id_result_chunks_by_chunk_index","parameters":{"statement_id":{"type":"string"},"chunk_index":{"type":"string"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_sql_warehouses","parameters":{"run_as_user_id":{"type":"integer","description":"Service Principal which will be used to fetch the list of warehouses.\nIf not specified, the user from the session header is used."}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_sql_warehouses","parameters":{"data":{"type":"object","properties":{"auto_stop_mins":{"description":"The amount of time in minutes that a SQL warehouse must be idle (i.e., no RUNNING queries) before\nit is automatically stopped.\n\nSupported values:\n - Must be >= 0 mins for serverless warehouses\n - Must be == 0 or >= 10 mins for non-serverless warehouses\n - 0 indicates no autostop.\n\nDefaults to 120 mins","type":"integer","format":"int32","x-databricks-api-version":"legacy","default":"120"},"channel":{"description":"Channel Details","$ref":"#/components/schemas/sql.Channel","x-databricks-package-name":"sql","x-databricks-api-version":"legacy","x-databricks-sdk-name":"Channel","x-databricks-legacy-name":"Channel","x-databricks-stable-name":"Channel"},"cluster_size":{"description":"Size of the clusters allocated for this warehouse.\nIncreasing the size of a spark cluster allows you to run larger queries on it.\nIf you want to increase the number of concurrent queries, please tune max_num_clusters.\n\nSupported values:\n - 2X-Small\n - X-Small\n - Small\n - Medium\n - Large\n - X-Large\n - 2X-Large\n - 3X-Large\n - 4X-Large\n","type":"string","x-databricks-api-version":"legacy"},"creator_name":{"description":"warehouse creator name","type":"string","x-databricks-api-version":"legacy"},"enable_photon":{"description":"Configures whether the warehouse should use Photon optimized clusters.\n\nDefaults to false.","type":"boolean","x-databricks-api-version":"legacy"},"enable_serverless_compute":{"description":"Configures whether the warehouse should use serverless compute.\nDatabricks strongly recommends that you always explicitly set this field.\nIf this value is `true` explicitly or through the default, you **must** also set `warehouse_type`\nfield to `pro` (the default if this field is `true`).\nIf omitted, the default is false for most workspaces.\nHowever, if this workspace used the SQL Warehouses API to create a warehouse between September 1, 2022 and April 30, 2023,\nthe default remains the previous behavior which is default to true if the workspace is enabled for serverless and\nfits the requirements for serverless SQL warehouses. To avoid ambiguity, especially for organizations with\nmany workspaces, Databricks recommends that you always set this field. If your account needs updated\n[terms of use](https://docs.databricks.com/sql/admin/serverless.html#accept-terms), workspace admins are prompted in\nthe Databricks SQL UI.\nA workspace must meet the [requirements](https://docs.databricks.com/sql/admin/serverless.html#requirements)\nand might require an update to its instance profile role\nto [add a trust relationship](https://docs.databricks.com/sql/admin/serverless.html#aws-instance-profile-setup).\n","type":"boolean","x-databricks-api-version":"legacy","x-databricks-cloud":"aws"},"instance_profile_arn":{"description":"Deprecated. Instance profile used to pass IAM role to the cluster","type":"string","x-databricks-api-version":"legacy","deprecated":true},"max_num_clusters":{"description":"Maximum number of clusters that the autoscaler will create to handle concurrent queries.\n\nSupported values:\n - Must be >= min_num_clusters\n - Must be <= 30.\n\nDefaults to min_clusters if unset.","type":"integer","format":"int32","x-databricks-api-version":"legacy"},"min_num_clusters":{"description":"Minimum number of available clusters that will be maintained for this SQL warehouse.\nIncreasing this will ensure that a larger number of clusters are always running and therefore may reduce\nthe cold start time for new queries. This is similar to reserved vs. revocable cores in a resource manager.\n\nSupported values:\n - Must be > 0\n - Must be <= min(max_num_clusters, 30)\n\nDefaults to 1","type":"integer","format":"int32","x-databricks-api-version":"legacy","default":"1"},"name":{"description":"Logical name for the cluster.\n\nSupported values:\n - Must be unique within an org.\n - Must be less than 100 characters.","type":"string","x-databricks-api-version":"legacy"},"spot_instance_policy":{"$ref":"#/components/schemas/sql.SpotInstancePolicy","x-databricks-package-name":"sql","x-databricks-api-version":"legacy","x-databricks-sdk-name":"SpotInstancePolicy","x-databricks-legacy-name":"SpotInstancePolicy","x-databricks-stable-name":"SpotInstancePolicy"},"tags":{"description":"A set of key-value pairs that will be tagged on all resources (e.g., AWS instances and EBS volumes) associated\nwith this SQL warehouse.\n\nSupported values:\n - Number of tags < 45.","$ref":"#/components/schemas/sql.EndpointTags","x-databricks-package-name":"sql","x-databricks-api-version":"legacy","x-databricks-sdk-name":"EndpointTags","x-databricks-legacy-name":"EndpointTags","x-databricks-stable-name":"EndpointTags"},"warehouse_type":{"$ref":"#/components/schemas/sql.CreateWarehouseRequestWarehouseType","x-databricks-package-name":"sql","x-databricks-api-version":"legacy","x-databricks-sdk-name":"CreateWarehouseRequestWarehouseType","x-databricks-legacy-name":"CreateWarehouseRequestWarehouseType","x-databricks-stable-name":"CreateWarehouseRequestWarehouseType"}},"x-databricks-package-name":"sql","x-databricks-api-version":"legacy","x-databricks-sdk-name":"CreateWarehouseRequest","x-databricks-legacy-name":"CreateWarehouseRequest","x-databricks-stable-name":"CreateWarehouseRequest"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_sql_warehouses_by_id","parameters":{"id":{"type":"string","description":"Required. Id of the SQL warehouse."}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.0_sql_warehouses_by_id","parameters":{"id":{"type":"string","description":"Required. Id of the SQL warehouse."}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_sql_warehouses_by_id_edit","parameters":{"id":{"type":"string","description":"Required. Id of the warehouse to configure."},"data":{"type":"object","properties":{"auto_stop_mins":{"description":"The amount of time in minutes that a SQL warehouse must be idle (i.e., no RUNNING queries) before\nit is automatically stopped.\n\nSupported values:\n - Must be == 0 or >= 10 mins\n - 0 indicates no autostop.\n\nDefaults to 120 mins","type":"integer","format":"int32","x-databricks-api-version":"legacy","default":"120"},"channel":{"description":"Channel Details","$ref":"#/components/schemas/sql.Channel","x-databricks-package-name":"sql","x-databricks-api-version":"legacy","x-databricks-sdk-name":"Channel","x-databricks-legacy-name":"Channel","x-databricks-stable-name":"Channel"},"cluster_size":{"description":"Size of the clusters allocated for this warehouse.\nIncreasing the size of a spark cluster allows you to run larger queries on it.\nIf you want to increase the number of concurrent queries, please tune max_num_clusters.\n\nSupported values:\n- 2X-Small\n- X-Small\n- Small\n- Medium\n- Large\n- X-Large\n- 2X-Large\n- 3X-Large\n- 4X-Large","type":"string","x-databricks-api-version":"legacy"},"creator_name":{"description":"warehouse creator name","type":"string","x-databricks-api-version":"legacy"},"enable_photon":{"description":"Configures whether the warehouse should use Photon optimized clusters.\n\nDefaults to false.","type":"boolean","x-databricks-api-version":"legacy"},"enable_serverless_compute":{"description":"Configures whether the warehouse should use serverless compute.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-not-cloud":"gcp"},"instance_profile_arn":{"description":"Deprecated. Instance profile used to pass IAM role to the cluster","type":"string","x-databricks-api-version":"legacy","deprecated":true},"max_num_clusters":{"description":"Maximum number of clusters that the autoscaler will create to handle concurrent queries.\n\nSupported values:\n - Must be >= min_num_clusters\n - Must be <= 30.\n\nDefaults to min_clusters if unset.","type":"integer","format":"int32","x-databricks-api-version":"legacy"},"min_num_clusters":{"description":"Minimum number of available clusters that will be maintained for this SQL warehouse.\nIncreasing this will ensure that a larger number of clusters are always running and therefore may reduce\nthe cold start time for new queries. This is similar to reserved vs. revocable cores in a resource manager.\n\nSupported values:\n - Must be > 0\n - Must be <= min(max_num_clusters, 30)\n\nDefaults to 1","type":"integer","format":"int32","x-databricks-api-version":"legacy","default":"1"},"name":{"description":"Logical name for the cluster.\n\nSupported values:\n - Must be unique within an org.\n - Must be less than 100 characters.","type":"string","x-databricks-api-version":"legacy"},"spot_instance_policy":{"$ref":"#/components/schemas/sql.SpotInstancePolicy","x-databricks-package-name":"sql","x-databricks-api-version":"legacy","x-databricks-sdk-name":"SpotInstancePolicy","x-databricks-legacy-name":"SpotInstancePolicy","x-databricks-stable-name":"SpotInstancePolicy"},"tags":{"description":"A set of key-value pairs that will be tagged on all resources (e.g., AWS instances and EBS volumes) associated\nwith this SQL warehouse.\n\nSupported values:\n - Number of tags < 45.","$ref":"#/components/schemas/sql.EndpointTags","x-databricks-package-name":"sql","x-databricks-api-version":"legacy","x-databricks-sdk-name":"EndpointTags","x-databricks-legacy-name":"EndpointTags","x-databricks-stable-name":"EndpointTags"},"warehouse_type":{"$ref":"#/components/schemas/sql.EditWarehouseRequestWarehouseType","x-databricks-package-name":"sql","x-databricks-api-version":"legacy","x-databricks-sdk-name":"EditWarehouseRequestWarehouseType","x-databricks-legacy-name":"EditWarehouseRequestWarehouseType","x-databricks-stable-name":"EditWarehouseRequestWarehouseType"}},"x-databricks-package-name":"sql","x-databricks-api-version":"legacy","x-databricks-sdk-name":"EditWarehouseRequest","x-databricks-legacy-name":"EditWarehouseRequest","x-databricks-stable-name":"EditWarehouseRequest"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_sql_warehouses_by_id_start","parameters":{"id":{"type":"string","description":"Required. Id of the SQL warehouse."}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_sql_warehouses_by_id_stop","parameters":{"id":{"type":"string","description":"Required. Id of the SQL warehouse."}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_token_management_on_behalf_of_tokens","parameters":{"data":{"description":"Configuration details for creating on-behalf tokens.","type":"object","required":["application_id"],"properties":{"application_id":{"description":"Application ID of the service principal.","type":"string","format":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"tokenmanagement.CreateOnBehalfOfToken.application_id","example":"6f5ccf28-d83a-4957-9bfb-5bbfac551410"},"comment":{"description":"Comment that describes the purpose of the token.","type":"string","format":"string","x-databricks-api-version":"legacy","x-databricks-not-cloud":"azure","x-databricks-schema-id":"tokenmanagement.CreateOnBehalfOfToken.comment","example":"This is for the ABC department automation scripts."},"lifetime_seconds":{"description":"The number of seconds before the token expires.","type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"tokenmanagement.CreateOnBehalfOfToken.lifetime_seconds","example":3600}},"x-databricks-package-name":"settings","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"CreateOboTokenRequest","x-databricks-legacy-name":"CreateOboTokenRequest","x-databricks-stable-name":"CreateOboTokenRequest"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_token_management_tokens","parameters":{"created_by_id":{"type":"integer","description":"User ID of the user that created the token."},"created_by_username":{"type":"string","description":"Username of the user that created the token."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_token_management_tokens_by_token_id","parameters":{"token_id":{"type":"string","description":"The ID of the token to get."}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.0_token_management_tokens_by_token_id","parameters":{"token_id":{"type":"string","description":"The ID of the token to revoke."}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_token_create","parameters":{"data":{"type":"object","properties":{"comment":{"description":"Optional description to attach to the token.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"token.CreateToken.comment"},"lifetime_seconds":{"description":"The lifetime of the token, in seconds.\n\nIf the lifetime is not specified, this token remains valid indefinitely.","type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"token.CreateToken.lifetime_seconds"}},"x-databricks-package-name":"settings","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"CreateTokenRequest","x-databricks-legacy-name":"CreateTokenRequest","x-databricks-stable-name":"CreateTokenRequest"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_token_delete","parameters":{"data":{"type":"object","required":["token_id"],"properties":{"token_id":{"description":"The ID of the token to be revoked.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"token.RevokeToken.token_id"}},"x-databricks-package-name":"settings","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"RevokeTokenRequest","x-databricks-legacy-name":"RevokeTokenRequest","x-databricks-stable-name":"RevokeTokenRequest"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_token_list","parameters":{}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_unity_catalog_temporary_path_credentials","parameters":{"data":{"type":"object","required":["url","operation"],"properties":{"dry_run":{"description":"Optional. When set to true, the service will not validate that the generated\ncredentials can perform write operations, therefore no new paths will be created\nand the response will not contain valid credentials. Defaults to false.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.GenerateTemporaryPathCredential.dry_run"},"operation":{"description":"The operation being performed on the path.","$ref":"#/components/schemas/catalog.PathOperation","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.GenerateTemporaryPathCredential.operation","x-databricks-sdk-name":"PathOperation","x-databricks-legacy-name":"PathOperation","x-databricks-stable-name":"PathOperation"},"url":{"description":"URL for path-based access.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.GenerateTemporaryPathCredential.url"}},"x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"GenerateTemporaryPathCredentialRequest","x-databricks-legacy-name":"GenerateTemporaryPathCredentialRequest","x-databricks-stable-name":"GenerateTemporaryPathCredentialRequest"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_unity_catalog_temporary_table_credentials","parameters":{"data":{"type":"object","properties":{"operation":{"description":"The operation performed against the table data, either READ or READ_WRITE. If READ_WRITE is specified,\nthe credentials returned will have write permissions, otherwise, it will be read only.","$ref":"#/components/schemas/catalog.TableOperation","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.GenerateTemporaryTableCredential.operation","x-databricks-sdk-name":"TableOperation","x-databricks-legacy-name":"TableOperation","x-databricks-stable-name":"TableOperation"},"table_id":{"description":"UUID of the table to read or write.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.GenerateTemporaryTableCredential.table_id"}},"x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"GenerateTemporaryTableCredentialRequest","x-databricks-legacy-name":"GenerateTemporaryTableCredentialRequest","x-databricks-stable-name":"GenerateTemporaryTableCredentialRequest"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_vector_search_endpoints","parameters":{"page_token":{"type":"string","description":"Token for pagination"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_vector_search_endpoints","parameters":{"data":{"type":"object","required":["name","endpoint_type"],"properties":{"endpoint_type":{"description":"Type of endpoint","$ref":"#/components/schemas/vectorsearch.EndpointType","x-databricks-package-name":"vectorsearch","x-databricks-api-version":"legacy","x-databricks-schema-id":"brickindexscheduler.CreateEndpointRequest.endpoint_type","x-databricks-sdk-name":"EndpointType","x-databricks-legacy-name":"EndpointType","x-databricks-stable-name":"EndpointType"},"name":{"description":"Name of the vector search endpoint","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"brickindexscheduler.CreateEndpointRequest.name","example":"docs-endpoint"}},"x-databricks-package-name":"vectorsearch","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"CreateEndpoint","x-databricks-legacy-name":"CreateEndpoint","x-databricks-stable-name":"CreateEndpoint"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_vector_search_endpoints_by_endpoint_name","parameters":{"endpoint_name":{"type":"string","description":"Name of the endpoint"}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.0_vector_search_endpoints_by_endpoint_name","parameters":{"endpoint_name":{"type":"string","description":"Name of the vector search endpoint"}}},{"connectionName":"databricks-workspace","actionName":"patch_api_2.0_vector_search_endpoints_by_endpoint_name_budget_policy","parameters":{"endpoint_name":{"type":"string","description":"Name of the vector search endpoint"},"data":{"type":"object","required":["budget_policy_id"],"properties":{"budget_policy_id":{"description":"The budget policy id to be applied\n(hima-sheth) TODO: remove this once we've migrated to usage policies","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"brickindexscheduler.PatchEndpointBudgetPolicyRequest.budget_policy_id","example":"8b0444ff-8b60-48b0-9d31-e391f6126e0f"}},"x-databricks-package-name":"vectorsearch","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"PatchEndpointBudgetPolicyRequest","x-databricks-legacy-name":"PatchEndpointBudgetPolicyRequest","x-databricks-stable-name":"PatchEndpointBudgetPolicyRequest"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_vector_search_indexes","parameters":{"endpoint_name":{"type":"string","description":"Name of the endpoint"},"page_token":{"type":"string","description":"Token for pagination"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_vector_search_indexes","parameters":{"data":{"type":"object","required":["name","endpoint_name","primary_key","index_type"],"properties":{"delta_sync_index_spec":{"description":"Specification for Delta Sync Index. Required if `index_type` is `DELTA_SYNC`.","$ref":"#/components/schemas/vectorsearch.DeltaSyncVectorIndexSpecRequest","x-databricks-package-name":"vectorsearch","x-databricks-api-version":"legacy","x-databricks-schema-id":"brickindexscheduler.CreateVectorIndexRequest.delta_sync_index_spec","x-databricks-sdk-name":"DeltaSyncVectorIndexSpecRequest","x-databricks-legacy-name":"DeltaSyncVectorIndexSpecRequest","x-databricks-stable-name":"DeltaSyncVectorIndexSpecRequest"},"direct_access_index_spec":{"description":"Specification for Direct Vector Access Index. Required if `index_type` is `DIRECT_ACCESS`.","$ref":"#/components/schemas/vectorsearch.DirectAccessVectorIndexSpec","x-databricks-package-name":"vectorsearch","x-databricks-api-version":"legacy","x-databricks-schema-id":"brickindexscheduler.CreateVectorIndexRequest.direct_access_index_spec","x-databricks-sdk-name":"DirectAccessVectorIndexSpec","x-databricks-legacy-name":"DirectAccessVectorIndexSpec","x-databricks-stable-name":"DirectAccessVectorIndexSpec"},"endpoint_name":{"description":"Name of the endpoint to be used for serving the index","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"brickindexscheduler.CreateVectorIndexRequest.endpoint_name"},"index_type":{"$ref":"#/components/schemas/vectorsearch.VectorIndexType","x-databricks-package-name":"vectorsearch","x-databricks-api-version":"legacy","x-databricks-schema-id":"brickindexscheduler.CreateVectorIndexRequest.index_type","x-databricks-sdk-name":"VectorIndexType","x-databricks-legacy-name":"VectorIndexType","x-databricks-stable-name":"VectorIndexType"},"name":{"description":"Name of the index","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"brickindexscheduler.CreateVectorIndexRequest.name"},"primary_key":{"description":"Primary key of the index","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"brickindexscheduler.CreateVectorIndexRequest.primary_key"}},"x-databricks-package-name":"vectorsearch","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"CreateVectorIndexRequest","x-databricks-legacy-name":"CreateVectorIndexRequest","x-databricks-stable-name":"CreateVectorIndexRequest"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_vector_search_indexes_by_index_name","parameters":{"index_name":{"type":"string","description":"Name of the index"}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.0_vector_search_indexes_by_index_name","parameters":{"index_name":{"type":"string","description":"Name of the index"}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.0_vector_search_indexes_by_index_name_delete_data","parameters":{"index_name":{"type":"string","description":"Name of the vector index where data is to be deleted. Must be a Direct Vector Access Index."},"primary_keys":{"type":"array","description":"List of primary keys for the data to be deleted."}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_vector_search_indexes_by_index_name_query","parameters":{"index_name":{"type":"string","description":"Name of the vector index to query."},"data":{"type":"object","required":["columns"],"properties":{"columns":{"description":"List of column names to include in the response.","type":"array","items":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"databricks.brickindexscheduler.QueryVectorIndexRequest.columns.array_value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"brickindexscheduler.QueryVectorIndexRequest.columns"},"filters_json":{"description":"JSON string representing query filters.\n\nExample filters:\n\n- `{\"id <\": 5}`: Filter for id less than 5.\n- `{\"id >\": 5}`: Filter for id greater than 5.\n- `{\"id <=\": 5}`: Filter for id less than equal to 5.\n- `{\"id >=\": 5}`: Filter for id greater than equal to 5.\n- `{\"id\": 5}`: Filter for id equal to 5.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"brickindexscheduler.QueryVectorIndexRequest.filters_json"},"num_results":{"description":"Number of results to return. Defaults to 10.","type":"integer","format":"int32","x-databricks-api-version":"legacy","x-databricks-schema-id":"brickindexscheduler.QueryVectorIndexRequest.num_results"},"query_text":{"description":"Query text. Required for Delta Sync Index using model endpoint.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"brickindexscheduler.QueryVectorIndexRequest.query_text"},"query_type":{"description":"The query type to use. Choices are `ANN` and `HYBRID`. Defaults to `ANN`.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"brickindexscheduler.QueryVectorIndexRequest.query_type"},"query_vector":{"description":"Query vector. Required for Direct Vector Access Index and Delta Sync Index using self-managed vectors.","type":"array","items":{"type":"number","format":"double","x-databricks-api-version":"legacy","x-databricks-schema-id":"databricks.brickindexscheduler.QueryVectorIndexRequest.query_vector.array_value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"brickindexscheduler.QueryVectorIndexRequest.query_vector"},"score_threshold":{"description":"Threshold for the approximate nearest neighbor search. Defaults to 0.0.","type":"number","format":"double","x-databricks-api-version":"legacy","x-databricks-schema-id":"brickindexscheduler.QueryVectorIndexRequest.score_threshold"}},"x-databricks-package-name":"vectorsearch","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"QueryVectorIndexRequest","x-databricks-legacy-name":"QueryVectorIndexRequest","x-databricks-stable-name":"QueryVectorIndexRequest"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_vector_search_indexes_by_index_name_query_next_page","parameters":{"index_name":{"type":"string","description":"Name of the vector index to query."},"data":{"description":"Request payload for getting next page of results.","type":"object","properties":{"endpoint_name":{"description":"Name of the endpoint.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"brickindexscheduler.QueryVectorIndexNextPageRequest.endpoint_name"},"page_token":{"description":"Page token returned from previous `QueryVectorIndex` or `QueryVectorIndexNextPage` API.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"brickindexscheduler.QueryVectorIndexNextPageRequest.page_token"}},"x-databricks-package-name":"vectorsearch","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"QueryVectorIndexNextPageRequest","x-databricks-legacy-name":"QueryVectorIndexNextPageRequest","x-databricks-stable-name":"QueryVectorIndexNextPageRequest"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_vector_search_indexes_by_index_name_scan","parameters":{"index_name":{"type":"string","description":"Name of the vector index to scan."},"data":{"type":"object","properties":{"last_primary_key":{"description":"Primary key of the last entry returned in the previous scan.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"brickindexscheduler.ScanVectorIndexRequest.last_primary_key"},"num_results":{"description":"Number of results to return. Defaults to 10.","type":"integer","format":"int32","x-databricks-api-version":"legacy","x-databricks-schema-id":"brickindexscheduler.ScanVectorIndexRequest.num_results"}},"x-databricks-package-name":"vectorsearch","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"ScanVectorIndexRequest","x-databricks-legacy-name":"ScanVectorIndexRequest","x-databricks-stable-name":"ScanVectorIndexRequest"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_vector_search_indexes_by_index_name_sync","parameters":{"index_name":{"type":"string","description":"Name of the vector index to synchronize. Must be a Delta Sync Index."}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_vector_search_indexes_by_index_name_upsert_data","parameters":{"index_name":{"type":"string","description":"Name of the vector index where data is to be upserted. Must be a Direct Vector Access Index."},"data":{"type":"object","required":["inputs_json"],"properties":{"inputs_json":{"description":"JSON string representing the data to be upserted.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"brickindexscheduler.UpsertDataVectorIndexRequest.inputs_json"}},"x-databricks-package-name":"vectorsearch","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"UpsertDataVectorIndexRequest","x-databricks-legacy-name":"UpsertDataVectorIndexRequest","x-databricks-stable-name":"UpsertDataVectorIndexRequest"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_workspace_conf","parameters":{"keys":{"type":"string"}}},{"connectionName":"databricks-workspace","actionName":"patch_api_2.0_workspace_conf","parameters":{"data":{"type":"object","additionalProperties":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"aclmanager.workspaceconf.WorkspaceConf.value"},"x-databricks-package-name":"settings","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-schema-id":"settings.WorkspaceConf","x-databricks-sdk-name":"WorkspaceConf","x-databricks-legacy-name":"WorkspaceConf","x-databricks-stable-name":"WorkspaceConf","x-databricks-rule-ignores":[{"group":"map","ruleIgnoreCategory":"DEPRECATED_FEATURE"}]}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_workspace_delete","parameters":{"data":{"type":"object","required":["path"],"properties":{"path":{"description":"The absolute path of the notebook or directory.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"workspace.Delete.path"},"recursive":{"description":"The flag that specifies whether to delete the object recursively. It is `false` by default.\nPlease note this deleting directory is not atomic. If it fails in the middle, some of objects\nunder this directory may be deleted and cannot be undone.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"workspace.Delete.recursive","default":false}},"x-databricks-package-name":"workspace","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"Delete","x-databricks-legacy-name":"Delete","x-databricks-stable-name":"Delete"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_workspace_export","parameters":{"path":{"type":"string","description":"The absolute path of the object or directory. Exporting a directory is only supported for the `DBC`, `SOURCE`, and `AUTO` format."},"format":{"type":"string","description":"This specifies the format of the exported file. By default, this is `SOURCE`.\n\nThe value is case sensitive.\n\n- `SOURCE`: The notebook is exported as source code. Directory exports will not include non-notebook entries.\n- `HTML`: The notebook is exported as an HTML file.\n- `JUPYTER`: The notebook is exported as a Jupyter/IPython Notebook file.\n- `DBC`: The notebook is exported in Databricks archive format. Directory exports will not include non-notebook entries.\n- `R_MARKDOWN`: The notebook is exported to R Markdown format.\n- `AUTO`: The object or directory is exported depending on the objects type. Directory exports will include notebooks and workspace files."},"direct_download":{"type":"boolean","description":"Flag to enable direct download. If it is `true`, the response is the exported file itself.\nOtherwise, by default, the response contains content in the form of a base64 encoded string."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_workspace_get_status","parameters":{"path":{"type":"string","description":"The absolute path of the notebook or directory."}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_workspace_import","parameters":{"data":{"type":"object","required":["path"],"properties":{"content":{"description":"The base64-encoded content. This has a limit of 10 MB.\n\nIf the limit (10MB) is exceeded, exception with error code **MAX_NOTEBOOK_SIZE_EXCEEDED** is thrown.\nThis parameter might be absent, and instead a posted file is used.","type":"string","format":"string","x-databricks-api-version":"legacy","x-databricks-base64":true,"x-databricks-schema-id":"workspace.Import.content"},"format":{"description":"This specifies the format of the file to be imported.\n\nThe value is case sensitive.\n\n- `AUTO`: The item is imported depending on an analysis of the item's extension and\nthe header content provided in the request. If the item is imported as a notebook,\nthen the item's extension is automatically removed.\n- `SOURCE`: The notebook or directory is imported as source code.\n- `HTML`: The notebook is imported as an HTML file.\n- `JUPYTER`: The notebook is imported as a Jupyter/IPython Notebook file.\n- `DBC`: The notebook is imported in Databricks archive format. Required for directories.\n- `R_MARKDOWN`: The notebook is imported from R Markdown format.","$ref":"#/components/schemas/workspace.ImportFormat","x-databricks-package-name":"workspace","x-databricks-api-version":"legacy","x-databricks-schema-id":"workspace.Import.format","x-databricks-sdk-name":"ImportFormat","x-databricks-legacy-name":"ImportFormat","x-databricks-stable-name":"ImportFormat","default":"SOURCE"},"language":{"description":"The language of the object. This value is set only if the object type is `NOTEBOOK`.","$ref":"#/components/schemas/workspace.Language","x-databricks-package-name":"workspace","x-databricks-api-version":"legacy","x-databricks-schema-id":"workspace.Import.language","x-databricks-sdk-name":"Language","x-databricks-legacy-name":"Language","x-databricks-stable-name":"Language"},"overwrite":{"description":"The flag that specifies whether to overwrite existing object. It is `false` by default.\nFor `DBC` format, `overwrite` is not supported since it may contain a directory.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"workspace.Import.overwrite","default":false},"path":{"description":"The absolute path of the object or directory. Importing a directory is only supported for the `DBC` and `SOURCE` formats.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"workspace.Import.path"}},"x-databricks-package-name":"workspace","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"Import","x-databricks-legacy-name":"Import","x-databricks-stable-name":"Import"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.0_workspace_list","parameters":{"path":{"type":"string","description":"The absolute path of the notebook or directory."},"notebooks_modified_after":{"type":"integer","description":"UTC timestamp in milliseconds"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.0_workspace_mkdirs","parameters":{"data":{"type":"object","required":["path"],"properties":{"path":{"description":"The absolute path of the directory. If the parent directories do not exist, it will also create them.\nIf the directory already exists, this command will do nothing and succeed.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"workspace.Mkdirs.path"}},"x-databricks-package-name":"workspace","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"Mkdirs","x-databricks-legacy-name":"Mkdirs","x-databricks-stable-name":"Mkdirs"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_clusters_change_owner","parameters":{"data":{"type":"object","required":["cluster_id","owner_username"],"properties":{"cluster_id":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ChangeClusterOwner.cluster_id"},"owner_username":{"description":"New owner of the cluster_id after this RPC.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ChangeClusterOwner.owner_username"}},"x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"ChangeClusterOwner","x-databricks-legacy-name":"ChangeClusterOwner","x-databricks-stable-name":"ChangeClusterOwner"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_clusters_create","parameters":{"data":{"type":"object","required":["spark_version"],"properties":{"apply_policy_default_values":{"description":"When set to true, fixed and default values from the policy will be used for fields that are omitted.\nWhen set to false, only fixed values from the policy will be applied.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.CreateCluster.apply_policy_default_values","default":false},"autoscale":{"description":"Parameters needed in order to automatically scale clusters up and down based on load.\nNote: autoscaling works best with DB runtime versions 3.0 or later.","$ref":"#/components/schemas/compute.AutoScale","x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterSize.autoscale","x-databricks-sdk-name":"AutoScale","x-databricks-legacy-name":"AutoScale","x-databricks-stable-name":"AutoScale"},"autotermination_minutes":{"description":"Automatically terminates the cluster after it is inactive for this time in minutes. If not set,\nthis cluster will not be automatically terminated. If specified, the threshold must be between\n10 and 10000 minutes.\nUsers can also set this value to 0 to explicitly disable automatic termination.","type":"integer","format":"int32","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.autotermination_minutes"},"aws_attributes":{"description":"Attributes related to clusters running on Amazon Web Services.\nIf not specified at cluster creation, a set of default values will be used.","$ref":"#/components/schemas/compute.AwsAttributes","x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-cloud":"aws","x-databricks-schema-id":"cluster.ClusterAttributes.aws_attributes","x-databricks-sdk-name":"AwsAttributes","x-databricks-legacy-name":"AwsAttributes","x-databricks-stable-name":"AwsAttributes"},"clone_from":{"description":"When specified, this clones libraries from a source cluster during the creation of a new cluster.","$ref":"#/components/schemas/compute.CloneCluster","x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.CreateCluster.clone_from","x-databricks-sdk-name":"CloneCluster","x-databricks-legacy-name":"CloneCluster","x-databricks-stable-name":"CloneCluster"},"cluster_log_conf":{"description":"The configuration for delivering spark logs to a long-term storage destination.\nThree kinds of destinations (DBFS, S3 and Unity Catalog volumes) are supported. Only one destination can be specified\nfor one cluster. If the conf is given, the logs will be delivered to the destination every\n`5 mins`. The destination of driver logs is `$destination/$clusterId/driver`, while\nthe destination of executor logs is `$destination/$clusterId/executor`.","$ref":"#/components/schemas/compute.ClusterLogConf","x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.cluster_log_conf","x-databricks-sdk-name":"ClusterLogConf","x-databricks-legacy-name":"ClusterLogConf","x-databricks-stable-name":"ClusterLogConf"},"cluster_name":{"description":"Cluster name requested by the user. This doesn't have to be unique.\nIf not specified at creation, the cluster name will be an empty string.\nFor job clusters, the cluster name is automatically set based on the job and job run IDs.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.cluster_name"},"custom_tags":{"description":"Additional tags for cluster resources. Databricks will tag all cluster resources (e.g., AWS\ninstances and EBS volumes) with these tags in addition to `default_tags`. Notes:\n\n- Currently, Databricks allows at most 45 custom tags\n\n- Clusters can only reuse cloud resources if the resources' tags are a subset of the cluster tags","type":"object","additionalProperties":{"description":"The value of the tag. The value length must be less than or equal to 255 UTF-8 characters.\nFor a list of all restrictions, see the AWS docs here:\nhttp://docs.aws.amazon.com/AWSEC2/latest/UserGuide/Using_Tags.html#tag-restrictions","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterTag.value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.custom_tags"},"data_security_mode":{"$ref":"#/components/schemas/compute.DataSecurityMode","x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.data_security_mode","x-databricks-sdk-name":"DataSecurityMode","x-databricks-legacy-name":"DataSecurityMode","x-databricks-stable-name":"DataSecurityMode"},"docker_image":{"description":"Custom docker image BYOC","$ref":"#/components/schemas/compute.DockerImage","x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-not-cloud":"gcp","x-databricks-schema-id":"cluster.ClusterAttributes.docker_image","x-databricks-sdk-name":"DockerImage","x-databricks-legacy-name":"DockerImage","x-databricks-stable-name":"DockerImage"},"driver_instance_pool_id":{"description":"The optional ID of the instance pool for the driver of the cluster belongs.\nThe pool cluster uses the instance pool with id (instance_pool_id) if the driver pool is not\nassigned.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.driver_instance_pool_id"},"driver_node_type_id":{"description":"The node type of the Spark driver.\nNote that this field is optional; if unset, the driver node type will be set as the same value\nas `node_type_id` defined above.\n\nThis field, along with node_type_id, should not be set if virtual_cluster_size is set.\nIf both driver_node_type_id, node_type_id, and virtual_cluster_size are specified, driver_node_type_id and node_type_id take precedence.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.driver_node_type_id"},"enable_elastic_disk":{"description":"Autoscaling Local Storage: when enabled, this cluster will dynamically acquire additional disk\nspace when its Spark workers are running low on disk space. This feature requires specific AWS\npermissions to function correctly - refer to the User Guide for more details.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.enable_elastic_disk"},"enable_local_disk_encryption":{"description":"Whether to enable LUKS on cluster VMs' local disks","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.enable_local_disk_encryption"},"init_scripts":{"description":"The configuration for storing init scripts. Any number of destinations can be specified.\nThe scripts are executed sequentially in the order provided.\nIf `cluster_log_conf` is specified, init script logs are sent to `//init_scripts`.","type":"array","items":{"$ref":"#/components/schemas/compute.InitScriptInfo","x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.init_scripts.array_value","x-databricks-sdk-name":"InitScriptInfo","x-databricks-legacy-name":"InitScriptInfo","x-databricks-stable-name":"InitScriptInfo"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.init_scripts"},"instance_pool_id":{"description":"The optional ID of the instance pool to which the cluster belongs.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.instance_pool_id"},"is_single_node":{"description":"This field can only be used when `kind = CLASSIC_PREVIEW`.\n\nWhen set to true, Databricks will automatically set single node related `custom_tags`, `spark_conf`, and `num_workers`","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.is_single_node"},"kind":{"$ref":"#/components/schemas/compute.kind","x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.kind","x-databricks-sdk-name":"kind","x-databricks-legacy-name":"kind","x-databricks-stable-name":"kind"},"node_type_id":{"description":"This field encodes, through a single value, the resources available to each of\nthe Spark nodes in this cluster. For example, the Spark nodes can be provisioned\nand optimized for memory or compute intensive workloads. A list of available node\ntypes can be retrieved by using the :method:clusters/listNodeTypes API call.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.node_type_id"},"num_workers":{"description":"Number of worker nodes that this cluster should have. A cluster has one Spark Driver\nand `num_workers` Executors for a total of `num_workers` + 1 Spark nodes.\n\nNote: When reading the properties of a cluster, this field reflects the desired number\nof workers rather than the actual current number of workers. For instance, if a cluster\nis resized from 5 to 10 workers, this field will immediately be updated to reflect\nthe target size of 10 workers, whereas the workers listed in `spark_info` will gradually\nincrease from 5 to 10 as the new nodes are provisioned.","type":"integer","format":"int32","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterSize.num_workers"},"policy_id":{"description":"The ID of the cluster policy used to create the cluster if applicable.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.policy_id"},"runtime_engine":{"description":"Determines the cluster's runtime engine, either standard or Photon.\n\nThis field is not compatible with legacy `spark_version` values that contain `-photon-`.\nRemove `-photon-` from the `spark_version` and set `runtime_engine` to `PHOTON`.\n\nIf left unspecified, the runtime engine defaults to standard unless the spark_version\ncontains -photon-, in which case Photon will be used.","$ref":"#/components/schemas/compute.RuntimeEngine","x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.runtime_engine","x-databricks-sdk-name":"RuntimeEngine","x-databricks-legacy-name":"RuntimeEngine","x-databricks-stable-name":"RuntimeEngine"},"single_user_name":{"description":"Single user name if data_security_mode is `SINGLE_USER`","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.single_user_name"},"spark_conf":{"description":"An object containing a set of optional, user-specified Spark configuration key-value pairs.\nUsers can also pass in a string of extra JVM options to the driver and the executors via\n`spark.driver.extraJavaOptions` and `spark.executor.extraJavaOptions` respectively.","type":"object","additionalProperties":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.SparkConfPair.value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.spark_conf"},"spark_env_vars":{"description":"An object containing a set of optional, user-specified environment variable key-value pairs.\nPlease note that key-value pair of the form (X,Y) will be exported as is (i.e.,\n`export X='Y'`) while launching the driver and workers.\n\nIn order to specify an additional set of `SPARK_DAEMON_JAVA_OPTS`, we recommend appending\nthem to `$SPARK_DAEMON_JAVA_OPTS` as shown in the example below. This ensures that all\ndefault databricks managed environmental variables are included as well.\n\nExample Spark environment variables:\n`{\"SPARK_WORKER_MEMORY\": \"28000m\", \"SPARK_LOCAL_DIRS\": \"/local_disk0\"}` or\n`{\"SPARK_DAEMON_JAVA_OPTS\": \"$SPARK_DAEMON_JAVA_OPTS -Dspark.shuffle.service.enabled=true\"}`","type":"object","additionalProperties":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.SparkEnvPair.value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.spark_env_vars"},"spark_version":{"description":"The Spark version of the cluster, e.g. `3.3.x-scala2.11`.\nA list of available Spark versions can be retrieved by using\nthe :method:clusters/sparkVersions API call.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.spark_version"},"ssh_public_keys":{"description":"SSH public key contents that will be added to each Spark node in this cluster. The\ncorresponding private keys can be used to login with the user name `ubuntu` on port `2200`.\nUp to 10 keys can be specified.","type":"array","items":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.ssh_public_keys.array_value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.ssh_public_keys"},"use_ml_runtime":{"description":"This field can only be used when `kind = CLASSIC_PREVIEW`.\n\n`effective_spark_version` is determined by `spark_version` (DBR release), this field `use_ml_runtime`, and whether `node_type_id` is gpu node or not.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.use_ml_runtime"},"workload_type":{"$ref":"#/components/schemas/compute.WorkloadType","x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.workload_type","x-databricks-sdk-name":"WorkloadType","x-databricks-legacy-name":"WorkloadType","x-databricks-stable-name":"WorkloadType"}},"x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"CreateCluster","x-databricks-legacy-name":"CreateCluster","x-databricks-stable-name":"CreateCluster"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_clusters_delete","parameters":{"data":{"type":"object","required":["cluster_id"],"properties":{"cluster_id":{"description":"The cluster to be terminated.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.DeleteCluster.cluster_id","example":"1234-567890-frays123"}},"x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"DeleteCluster","x-databricks-legacy-name":"DeleteCluster","x-databricks-stable-name":"DeleteCluster"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_clusters_edit","parameters":{"data":{"type":"object","required":["cluster_id","spark_version"],"properties":{"apply_policy_default_values":{"description":"When set to true, fixed and default values from the policy will be used for fields that are omitted. When set to false, only fixed values from the policy will be applied.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.EditCluster.apply_policy_default_values","default":false},"autoscale":{"description":"Parameters needed in order to automatically scale clusters up and down based on load.\nNote: autoscaling works best with DB runtime versions 3.0 or later.","$ref":"#/components/schemas/compute.AutoScale","x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterSize.autoscale","x-databricks-sdk-name":"AutoScale","x-databricks-legacy-name":"AutoScale","x-databricks-stable-name":"AutoScale"},"autotermination_minutes":{"description":"Automatically terminates the cluster after it is inactive for this time in minutes. If not set,\nthis cluster will not be automatically terminated. If specified, the threshold must be between\n10 and 10000 minutes.\nUsers can also set this value to 0 to explicitly disable automatic termination.","type":"integer","format":"int32","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.autotermination_minutes"},"aws_attributes":{"description":"Attributes related to clusters running on Amazon Web Services.\nIf not specified at cluster creation, a set of default values will be used.","$ref":"#/components/schemas/compute.AwsAttributes","x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-cloud":"aws","x-databricks-schema-id":"cluster.ClusterAttributes.aws_attributes","x-databricks-sdk-name":"AwsAttributes","x-databricks-legacy-name":"AwsAttributes","x-databricks-stable-name":"AwsAttributes"},"cluster_id":{"description":"ID of the cluster","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.EditCluster.cluster_id"},"cluster_log_conf":{"description":"The configuration for delivering spark logs to a long-term storage destination.\nThree kinds of destinations (DBFS, S3 and Unity Catalog volumes) are supported. Only one destination can be specified\nfor one cluster. If the conf is given, the logs will be delivered to the destination every\n`5 mins`. The destination of driver logs is `$destination/$clusterId/driver`, while\nthe destination of executor logs is `$destination/$clusterId/executor`.","$ref":"#/components/schemas/compute.ClusterLogConf","x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.cluster_log_conf","x-databricks-sdk-name":"ClusterLogConf","x-databricks-legacy-name":"ClusterLogConf","x-databricks-stable-name":"ClusterLogConf"},"cluster_name":{"description":"Cluster name requested by the user. This doesn't have to be unique.\nIf not specified at creation, the cluster name will be an empty string.\nFor job clusters, the cluster name is automatically set based on the job and job run IDs.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.cluster_name"},"custom_tags":{"description":"Additional tags for cluster resources. Databricks will tag all cluster resources (e.g., AWS\ninstances and EBS volumes) with these tags in addition to `default_tags`. Notes:\n\n- Currently, Databricks allows at most 45 custom tags\n\n- Clusters can only reuse cloud resources if the resources' tags are a subset of the cluster tags","type":"object","additionalProperties":{"description":"The value of the tag. The value length must be less than or equal to 255 UTF-8 characters.\nFor a list of all restrictions, see the AWS docs here:\nhttp://docs.aws.amazon.com/AWSEC2/latest/UserGuide/Using_Tags.html#tag-restrictions","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterTag.value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.custom_tags"},"data_security_mode":{"$ref":"#/components/schemas/compute.DataSecurityMode","x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.data_security_mode","x-databricks-sdk-name":"DataSecurityMode","x-databricks-legacy-name":"DataSecurityMode","x-databricks-stable-name":"DataSecurityMode"},"docker_image":{"description":"Custom docker image BYOC","$ref":"#/components/schemas/compute.DockerImage","x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-not-cloud":"gcp","x-databricks-schema-id":"cluster.ClusterAttributes.docker_image","x-databricks-sdk-name":"DockerImage","x-databricks-legacy-name":"DockerImage","x-databricks-stable-name":"DockerImage"},"driver_instance_pool_id":{"description":"The optional ID of the instance pool for the driver of the cluster belongs.\nThe pool cluster uses the instance pool with id (instance_pool_id) if the driver pool is not\nassigned.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.driver_instance_pool_id"},"driver_node_type_id":{"description":"The node type of the Spark driver.\nNote that this field is optional; if unset, the driver node type will be set as the same value\nas `node_type_id` defined above.\n\nThis field, along with node_type_id, should not be set if virtual_cluster_size is set.\nIf both driver_node_type_id, node_type_id, and virtual_cluster_size are specified, driver_node_type_id and node_type_id take precedence.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.driver_node_type_id"},"enable_elastic_disk":{"description":"Autoscaling Local Storage: when enabled, this cluster will dynamically acquire additional disk\nspace when its Spark workers are running low on disk space. This feature requires specific AWS\npermissions to function correctly - refer to the User Guide for more details.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.enable_elastic_disk"},"enable_local_disk_encryption":{"description":"Whether to enable LUKS on cluster VMs' local disks","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.enable_local_disk_encryption"},"init_scripts":{"description":"The configuration for storing init scripts. Any number of destinations can be specified.\nThe scripts are executed sequentially in the order provided.\nIf `cluster_log_conf` is specified, init script logs are sent to `//init_scripts`.","type":"array","items":{"$ref":"#/components/schemas/compute.InitScriptInfo","x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.init_scripts.array_value","x-databricks-sdk-name":"InitScriptInfo","x-databricks-legacy-name":"InitScriptInfo","x-databricks-stable-name":"InitScriptInfo"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.init_scripts"},"instance_pool_id":{"description":"The optional ID of the instance pool to which the cluster belongs.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.instance_pool_id"},"is_single_node":{"description":"This field can only be used when `kind = CLASSIC_PREVIEW`.\n\nWhen set to true, Databricks will automatically set single node related `custom_tags`, `spark_conf`, and `num_workers`","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.is_single_node"},"kind":{"$ref":"#/components/schemas/compute.kind","x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.kind","x-databricks-sdk-name":"kind","x-databricks-legacy-name":"kind","x-databricks-stable-name":"kind"},"node_type_id":{"description":"This field encodes, through a single value, the resources available to each of\nthe Spark nodes in this cluster. For example, the Spark nodes can be provisioned\nand optimized for memory or compute intensive workloads. A list of available node\ntypes can be retrieved by using the :method:clusters/listNodeTypes API call.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.node_type_id"},"num_workers":{"description":"Number of worker nodes that this cluster should have. A cluster has one Spark Driver\nand `num_workers` Executors for a total of `num_workers` + 1 Spark nodes.\n\nNote: When reading the properties of a cluster, this field reflects the desired number\nof workers rather than the actual current number of workers. For instance, if a cluster\nis resized from 5 to 10 workers, this field will immediately be updated to reflect\nthe target size of 10 workers, whereas the workers listed in `spark_info` will gradually\nincrease from 5 to 10 as the new nodes are provisioned.","type":"integer","format":"int32","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterSize.num_workers"},"policy_id":{"description":"The ID of the cluster policy used to create the cluster if applicable.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.policy_id"},"runtime_engine":{"description":"Determines the cluster's runtime engine, either standard or Photon.\n\nThis field is not compatible with legacy `spark_version` values that contain `-photon-`.\nRemove `-photon-` from the `spark_version` and set `runtime_engine` to `PHOTON`.\n\nIf left unspecified, the runtime engine defaults to standard unless the spark_version\ncontains -photon-, in which case Photon will be used.","$ref":"#/components/schemas/compute.RuntimeEngine","x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.runtime_engine","x-databricks-sdk-name":"RuntimeEngine","x-databricks-legacy-name":"RuntimeEngine","x-databricks-stable-name":"RuntimeEngine"},"single_user_name":{"description":"Single user name if data_security_mode is `SINGLE_USER`","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.single_user_name"},"spark_conf":{"description":"An object containing a set of optional, user-specified Spark configuration key-value pairs.\nUsers can also pass in a string of extra JVM options to the driver and the executors via\n`spark.driver.extraJavaOptions` and `spark.executor.extraJavaOptions` respectively.","type":"object","additionalProperties":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.SparkConfPair.value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.spark_conf"},"spark_env_vars":{"description":"An object containing a set of optional, user-specified environment variable key-value pairs.\nPlease note that key-value pair of the form (X,Y) will be exported as is (i.e.,\n`export X='Y'`) while launching the driver and workers.\n\nIn order to specify an additional set of `SPARK_DAEMON_JAVA_OPTS`, we recommend appending\nthem to `$SPARK_DAEMON_JAVA_OPTS` as shown in the example below. This ensures that all\ndefault databricks managed environmental variables are included as well.\n\nExample Spark environment variables:\n`{\"SPARK_WORKER_MEMORY\": \"28000m\", \"SPARK_LOCAL_DIRS\": \"/local_disk0\"}` or\n`{\"SPARK_DAEMON_JAVA_OPTS\": \"$SPARK_DAEMON_JAVA_OPTS -Dspark.shuffle.service.enabled=true\"}`","type":"object","additionalProperties":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.SparkEnvPair.value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.spark_env_vars"},"spark_version":{"description":"The Spark version of the cluster, e.g. `3.3.x-scala2.11`.\nA list of available Spark versions can be retrieved by using\nthe :method:clusters/sparkVersions API call.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.spark_version"},"ssh_public_keys":{"description":"SSH public key contents that will be added to each Spark node in this cluster. The\ncorresponding private keys can be used to login with the user name `ubuntu` on port `2200`.\nUp to 10 keys can be specified.","type":"array","items":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.ssh_public_keys.array_value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.ssh_public_keys"},"use_ml_runtime":{"description":"This field can only be used when `kind = CLASSIC_PREVIEW`.\n\n`effective_spark_version` is determined by `spark_version` (DBR release), this field `use_ml_runtime`, and whether `node_type_id` is gpu node or not.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.use_ml_runtime"},"workload_type":{"$ref":"#/components/schemas/compute.WorkloadType","x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterAttributes.workload_type","x-databricks-sdk-name":"WorkloadType","x-databricks-legacy-name":"WorkloadType","x-databricks-stable-name":"WorkloadType"}},"x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"EditCluster","x-databricks-legacy-name":"EditCluster","x-databricks-stable-name":"EditCluster"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_clusters_events","parameters":{"data":{"type":"object","required":["cluster_id"],"properties":{"cluster_id":{"description":"The ID of the cluster to retrieve events about.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.GetEvents.cluster_id","example":"1234-567890-reef123"},"end_time":{"description":"The end time in epoch milliseconds.\nIf empty, returns events up to the current time.","type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.GetEvents.end_time","example":1619485200000},"event_types":{"description":"An optional set of event types to filter on.\nIf empty, all event types are returned.","type":"array","items":{"$ref":"#/components/schemas/compute.EventType","x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.GetEvents.event_types.array_value","x-databricks-sdk-name":"EventType","x-databricks-legacy-name":"EventType","x-databricks-stable-name":"EventType"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.GetEvents.event_types"},"limit":{"description":"Deprecated: use page_token in combination with page_size instead.\n\nThe maximum number of events to include in a page of events.\nDefaults to 50, and maximum allowed value is 500.","type":"integer","format":"int64","x-databricks-api-version":"legacy","deprecated":true,"maximum":500,"x-databricks-schema-id":"cluster.GetEvents.limit","default":50},"offset":{"description":"Deprecated: use page_token in combination with page_size instead.\n\nThe offset in the result set. Defaults to 0 (no offset). When an offset is specified\nand the results are requested in descending order, the end_time field is required.","type":"integer","format":"int64","x-databricks-api-version":"legacy","deprecated":true,"x-databricks-schema-id":"cluster.GetEvents.offset","example":5},"order":{"description":"The order to list events in; either \"ASC\" or \"DESC\". Defaults to \"DESC\".","$ref":"#/components/schemas/compute.GetEventsOrder","x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.GetEvents.order","x-databricks-sdk-name":"GetEventsOrder","x-databricks-legacy-name":"GetEventsOrder","x-databricks-stable-name":"GetEventsOrder","default":"DESC"},"page_size":{"description":"The maximum number of events to include in a page of events.\nThe server may further constrain the maximum number of results returned in a single page.\nIf the page_size is empty or 0, the server will decide the number of results to be returned.\nThe field has to be in the range [0,500]. If the value is outside the range, the server enforces 0 or 500.","type":"integer","format":"int32","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.GetEvents.page_size","default":50},"page_token":{"description":"Use next_page_token or prev_page_token returned from the previous request to list the next or previous page of events respectively.\nIf page_token is empty, the first page is returned.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.GetEvents.page_token","default":""},"start_time":{"description":"The start time in epoch milliseconds.\nIf empty, returns events starting from the beginning of time.","type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.GetEvents.start_time","example":1617238800000}},"x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"GetEvents","x-databricks-legacy-name":"GetEvents","x-databricks-stable-name":"GetEvents"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_clusters_get","parameters":{"cluster_id":{"type":"string","description":"The cluster about which to retrieve information."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_clusters_list","parameters":{"filter_by":{"type":"object","description":"Filters to apply to the list of clusters."},"page_token":{"type":"string","description":"Use next_page_token or prev_page_token returned from the previous request to list the next or previous page of clusters respectively."},"page_size":{"type":"integer","description":"Use this field to specify the maximum number of results to be returned by the server. The server may further constrain the maximum number of results returned in a single page."},"sort_by":{"type":"object","description":"Sort the list of clusters by a specific criteria."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_clusters_list_node_types","parameters":{}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_clusters_list_zones","parameters":{}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_clusters_permanent_delete","parameters":{"data":{"type":"object","required":["cluster_id"],"properties":{"cluster_id":{"description":"The cluster to be deleted.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.PermanentDeleteCluster.cluster_id","example":"1202-211320-brick1"}},"x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"PermanentDeleteCluster","x-databricks-legacy-name":"PermanentDeleteCluster","x-databricks-stable-name":"PermanentDeleteCluster"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_clusters_pin","parameters":{"data":{"type":"object","required":["cluster_id"],"properties":{"cluster_id":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.PinCluster.cluster_id","example":"1234-567890-reef123"}},"x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"PinCluster","x-databricks-legacy-name":"PinCluster","x-databricks-stable-name":"PinCluster"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_clusters_resize","parameters":{"data":{"type":"object","required":["cluster_id"],"properties":{"autoscale":{"description":"Parameters needed in order to automatically scale clusters up and down based on load.\nNote: autoscaling works best with DB runtime versions 3.0 or later.","$ref":"#/components/schemas/compute.AutoScale","x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterSize.autoscale","x-databricks-sdk-name":"AutoScale","x-databricks-legacy-name":"AutoScale","x-databricks-stable-name":"AutoScale"},"cluster_id":{"description":"The cluster to be resized.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ResizeCluster.cluster_id"},"num_workers":{"description":"Number of worker nodes that this cluster should have. A cluster has one Spark Driver\nand `num_workers` Executors for a total of `num_workers` + 1 Spark nodes.\n\nNote: When reading the properties of a cluster, this field reflects the desired number\nof workers rather than the actual current number of workers. For instance, if a cluster\nis resized from 5 to 10 workers, this field will immediately be updated to reflect\nthe target size of 10 workers, whereas the workers listed in `spark_info` will gradually\nincrease from 5 to 10 as the new nodes are provisioned.","type":"integer","format":"int32","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.ClusterSize.num_workers"}},"x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"ResizeCluster","x-databricks-legacy-name":"ResizeCluster","x-databricks-stable-name":"ResizeCluster"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_clusters_restart","parameters":{"data":{"type":"object","required":["cluster_id"],"properties":{"cluster_id":{"description":"The cluster to be started.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.RestartCluster.cluster_id"},"restart_user":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.RestartCluster.restart_user"}},"x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"RestartCluster","x-databricks-legacy-name":"RestartCluster","x-databricks-stable-name":"RestartCluster"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_clusters_spark_versions","parameters":{}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_clusters_start","parameters":{"data":{"type":"object","required":["cluster_id"],"properties":{"cluster_id":{"description":"The cluster to be started.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.StartCluster.cluster_id","example":"1202-211320-brick1"}},"x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"StartCluster","x-databricks-legacy-name":"StartCluster","x-databricks-stable-name":"StartCluster"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_clusters_unpin","parameters":{"data":{"type":"object","required":["cluster_id"],"properties":{"cluster_id":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.UnpinCluster.cluster_id","example":"1234-567890-reef123"}},"x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"UnpinCluster","x-databricks-legacy-name":"UnpinCluster","x-databricks-stable-name":"UnpinCluster"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_clusters_update","parameters":{"data":{"type":"object","required":["cluster_id","update_mask"],"properties":{"cluster":{"description":"The cluster to be updated.","$ref":"#/components/schemas/compute.UpdateClusterResource","x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.UpdateCluster.cluster","x-databricks-sdk-name":"UpdateClusterResource","x-databricks-legacy-name":"UpdateClusterResource","x-databricks-stable-name":"UpdateClusterResource"},"cluster_id":{"description":"ID of the cluster.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.UpdateCluster.cluster_id"},"update_mask":{"description":"Used to specify which cluster attributes and size fields to update. See https://google.aip.dev/161 for more details.\n\nThe field mask must be a single string, with multiple fields separated by commas (no spaces). The field path is relative to the resource object, using a dot (`.`) to navigate sub-fields (e.g., `author.given_name`). Specification of elements in sequence or map fields is not allowed, as only the entire collection field can be specified. Field names must exactly match the resource field names.\n\nA field mask of `*` indicates full replacement. It’s recommended to always explicitly list the fields being updated and avoid using `*` wildcards, as it can lead to unintended results if the API changes in the future.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"cluster.UpdateCluster.update_mask","x-databricks-well-known-type":"google.protobuf.FieldMask","example":"num_workers,spark_version,spark_conf"}},"x-databricks-package-name":"compute","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"UpdateCluster","x-databricks-legacy-name":"UpdateCluster","x-databricks-stable-name":"UpdateCluster"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_data_sharing_providers_by_provider_name_shares_by_share_name","parameters":{"provider_name":{"type":"string","description":"The name of the provider who owns the share."},"share_name":{"type":"string","description":"The name of the share."},"table_max_results":{"type":"integer","description":"Maximum number of tables to return."},"function_max_results":{"type":"integer","description":"Maximum number of functions to return."},"volume_max_results":{"type":"integer","description":"Maximum number of volumes to return."},"notebook_max_results":{"type":"integer","description":"Maximum number of notebooks to return."}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_jobs_create","parameters":{"data":{"type":"object","properties":{"access_control_list":{"description":"List of permissions to set on the job.","type":"array","items":{"$ref":"#/components/schemas/jobs.JobAccessControlRequest","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.CreateJob21.access_control_list.array_value","x-databricks-sdk-name":"JobAccessControlRequest","x-databricks-legacy-name":"JobAccessControlRequest","x-databricks-stable-name":"JobAccessControlRequest"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.CreateJob21.access_control_list"},"continuous":{"description":"An optional continuous property for this job. The continuous property will ensure that there is always one run executing. Only one of `schedule` and `continuous` can be used.","$ref":"#/components/schemas/jobs.Continuous21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings21.continuous","x-databricks-sdk-name":"Continuous21","x-databricks-legacy-name":"Continuous21","x-databricks-stable-name":"Continuous21"},"deployment":{"description":"Deployment information for jobs managed by external sources.","$ref":"#/components/schemas/jobs.JobDeployment21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings21.deployment","x-databricks-sdk-name":"JobDeployment21","x-databricks-legacy-name":"JobDeployment21","x-databricks-stable-name":"JobDeployment21"},"description":{"description":"An optional description for the job. The maximum length is 27700 characters in UTF-8 encoding.","type":"string","x-databricks-api-version":"legacy","maxLength":27700,"x-databricks-schema-id":"jobs.JobSettings21.description","example":"This job contain multiple tasks that are required to produce the weekly shark sightings report."},"disable_auto_optimization":{"description":"An option to disable auto optimization in serverless","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobRetryPolicy21.disable_auto_optimization","default":false,"example":true},"edit_mode":{"description":"Edit mode of the job.\n\n* `UI_LOCKED`: The job is in a locked UI state and cannot be modified.\n* `EDITABLE`: The job is in an editable state and can be modified.","$ref":"#/components/schemas/jobs.JobEditMode21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings21.edit_mode","x-databricks-sdk-name":"JobEditMode21","x-databricks-legacy-name":"JobEditMode21","x-databricks-stable-name":"JobEditMode21"},"email_notifications":{"description":"An optional set of email addresses that is notified when runs of this job begin or complete as well as when this job is deleted.","$ref":"#/components/schemas/jobs.JobEmailNotifications21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings21.email_notifications","x-databricks-sdk-name":"JobEmailNotifications21","x-databricks-legacy-name":"JobEmailNotifications21","x-databricks-stable-name":"JobEmailNotifications21","default":{}},"environments":{"description":"A list of task execution environment specifications that can be referenced by serverless tasks of this job.\nAn environment is required to be present for serverless tasks.\nFor serverless notebook tasks, the environment is accessible in the notebook environment panel.\nFor other serverless tasks, the task environment is required to be specified using environment_key in the task settings.","type":"array","items":{"$ref":"#/components/schemas/jobs.JobEnvironment21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings21.environments.array_value","x-databricks-sdk-name":"JobEnvironment21","x-databricks-legacy-name":"JobEnvironment21","x-databricks-stable-name":"JobEnvironment21"},"x-databricks-terraform":{"alias":"environment"},"x-databricks-api-version":"legacy","maxItems":10,"x-databricks-launch-stage":"GA","x-databricks-schema-id":"jobs.JobSettings21.environments"},"format":{"description":"Used to tell what is the format of the job. This field is ignored in Create/Update/Reset calls. When using the Jobs API 2.1 this value is always set to `\"MULTI_TASK\"`.","$ref":"#/components/schemas/jobs.Format21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","deprecated":true,"x-databricks-schema-id":"jobs.JobSettings21.format","x-databricks-sdk-name":"Format21","x-databricks-legacy-name":"Format21","x-databricks-stable-name":"Format21","example":"MULTI_TASK"},"git_source":{"description":"An optional specification for a remote Git repository containing the source code used by tasks. Version-controlled source code is supported by notebook, dbt, Python script, and SQL File tasks.\n\nIf `git_source` is set, these tasks retrieve the file from the remote repository by default. However, this behavior can be overridden by setting `source` to `WORKSPACE` on the task.\n\nNote: dbt and SQL File tasks support only version-controlled sources. If dbt or SQL File tasks are used, `git_source` must be defined on the job.","$ref":"#/components/schemas/jobs.GitSource21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings21.git_source","x-databricks-sdk-name":"GitSource21","x-databricks-legacy-name":"GitSource21","x-databricks-stable-name":"GitSource21"},"health":{"$ref":"#/components/schemas/jobs.JobsHealthRules21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings21.health","x-databricks-sdk-name":"JobsHealthRules21","x-databricks-legacy-name":"JobsHealthRules21","x-databricks-stable-name":"JobsHealthRules21"},"job_clusters":{"description":"A list of job cluster specifications that can be shared and reused by tasks of this job. Libraries cannot be declared in a shared job cluster. You must declare dependent libraries in task settings.","type":"array","items":{"$ref":"#/components/schemas/jobs.JobCluster21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings21.job_clusters.array_value","x-databricks-sdk-name":"JobCluster21","x-databricks-legacy-name":"JobCluster21","x-databricks-stable-name":"JobCluster21"},"x-databricks-terraform":{"alias":"job_cluster"},"x-databricks-api-version":"legacy","maxItems":100,"x-databricks-schema-id":"jobs.JobSettings21.job_clusters","example":[{"job_cluster_key":"auto_scaling_cluster","new_cluster":{"autoscale":{"max_workers":16,"min_workers":2},"node_type_id":null,"spark_conf":{"spark.speculation":true},"spark_version":"7.3.x-scala2.12"}}]},"max_concurrent_runs":{"description":"An optional maximum allowed number of concurrent runs of the job.\nSet this value if you want to be able to execute multiple runs of the same job concurrently.\nThis is useful for example if you trigger your job on a frequent schedule and want to allow consecutive runs to overlap with each other, or if you want to trigger multiple runs which differ by their input parameters.\nThis setting affects only new runs. For example, suppose the job’s concurrency is 4 and there are 4 concurrent active runs. Then setting the concurrency to 3 won’t kill any of the active runs.\nHowever, from then on, new runs are skipped unless there are fewer than 3 active runs.\nThis value cannot exceed 1000. Setting this value to `0` causes all new runs to be skipped.","type":"integer","format":"int32","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings21.max_concurrent_runs","default":1,"example":10},"max_retries":{"description":"An optional maximum number of times to retry an unsuccessful run. A run is considered to be unsuccessful if it completes with the `FAILED` result_state or `INTERNAL_ERROR` `life_cycle_state`. The value `-1` means to retry indefinitely and the value `0` means to never retry.","type":"integer","format":"int32","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobRetryPolicy21.max_retries","default":0,"example":10},"min_retry_interval_millis":{"description":"An optional minimal interval in milliseconds between the start of the failed run and the subsequent retry run. The default behavior is that unsuccessful runs are immediately retried.","type":"integer","format":"int32","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobRetryPolicy21.min_retry_interval_millis","example":2000},"name":{"description":"An optional name for the job. The maximum length is 4096 bytes in UTF-8 encoding.","type":"string","x-databricks-api-version":"legacy","maxLength":4096,"x-databricks-schema-id":"jobs.JobSettings21.name","default":"Untitled","example":"A multitask job"},"notification_settings":{"description":"Optional notification settings that are used when sending notifications to each of the `email_notifications` and `webhook_notifications` for this job.","$ref":"#/components/schemas/jobs.JobNotificationSettings21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings21.notification_settings","x-databricks-sdk-name":"JobNotificationSettings21","x-databricks-legacy-name":"JobNotificationSettings21","x-databricks-stable-name":"JobNotificationSettings21","default":{}},"parameters":{"description":"Job-level parameter definitions","type":"array","items":{"$ref":"#/components/schemas/jobs.JobParameterDefinition21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings21.parameters.array_value","x-databricks-sdk-name":"JobParameterDefinition21","x-databricks-legacy-name":"JobParameterDefinition21","x-databricks-stable-name":"JobParameterDefinition21"},"x-databricks-terraform":{"alias":"parameter"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings21.parameters"},"performance_target":{"description":"The performance mode on a serverless job. This field determines the level of compute performance or cost-efficiency for the run.\n\n* `STANDARD`: Enables cost-efficient execution of serverless workloads.\n* `PERFORMANCE_OPTIMIZED`: Prioritizes fast startup and execution times through rapid scaling and optimized cluster performance.","$ref":"#/components/schemas/jobs.PerformanceTarget21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings21.performance_target","x-databricks-sdk-name":"PerformanceTarget21","x-databricks-legacy-name":"PerformanceTarget21","x-databricks-stable-name":"PerformanceTarget21","default":"PERFORMANCE_OPTIMIZED"},"queue":{"description":"The queue settings of the job.","$ref":"#/components/schemas/jobs.QueueSettings21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings21.queue","x-databricks-sdk-name":"QueueSettings21","x-databricks-legacy-name":"QueueSettings21","x-databricks-stable-name":"QueueSettings21"},"retry_on_timeout":{"description":"An optional policy to specify whether to retry a job when it times out. The default behavior\nis to not retry on timeout.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobRetryPolicy21.retry_on_timeout","default":false,"example":true},"run_as":{"$ref":"#/components/schemas/jobs.JobRunAs21","x-databricks-package-name":"jobs","x-databricks-field-behaviors":["INPUT_ONLY"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings21.run_as","x-databricks-sdk-name":"JobRunAs21","x-databricks-legacy-name":"JobRunAs21","x-databricks-stable-name":"JobRunAs21"},"schedule":{"description":"An optional periodic schedule for this job. The default behavior is that the job only runs when triggered by clicking “Run Now” in the Jobs UI or sending an API request to `runNow`.","$ref":"#/components/schemas/jobs.CronSchedule21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings21.schedule","x-databricks-sdk-name":"CronSchedule21","x-databricks-legacy-name":"CronSchedule21","x-databricks-stable-name":"CronSchedule21"},"tags":{"description":"A map of tags associated with the job. These are forwarded to the cluster as cluster tags for jobs clusters, and are subject to the same limitations as cluster tags. A maximum of 25 tags can be added to the job.","type":"object","additionalProperties":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobTag21.value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings21.tags","default":{},"example":{"cost-center":"engineering","team":"jobs"}},"tasks":{"description":"A list of task specifications to be executed by this job.\nIf more than 100 tasks are available, you can paginate through them using :method:jobs/get. Use the `next_page_token` field at the object root to determine if more results are available.","type":"array","items":{"$ref":"#/components/schemas/jobs.Task21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings21.tasks.array_value","x-databricks-sdk-name":"Task21","x-databricks-legacy-name":"Task21","x-databricks-stable-name":"Task21"},"x-databricks-terraform":{"alias":"task"},"x-databricks-api-version":"legacy","maxItems":100,"x-databricks-schema-id":"jobs.JobSettings21.tasks","example":[{"depends_on":[],"description":"Extracts session data from events","existing_cluster_id":"0923-164208-meows279","libraries":[{"jar":"dbfs:/mnt/databricks/Sessionize.jar"}],"max_retries":3,"min_retry_interval_millis":2000,"retry_on_timeout":false,"spark_jar_task":{"main_class_name":"com.databricks.Sessionize","parameters":["--data","dbfs:/path/to/data.json"]},"task_key":"Sessionize","timeout_seconds":86400},{"depends_on":[],"description":"Ingests order data","job_cluster_key":"auto_scaling_cluster","libraries":[{"jar":"dbfs:/mnt/databricks/OrderIngest.jar"}],"max_retries":3,"min_retry_interval_millis":2000,"retry_on_timeout":false,"spark_jar_task":{"main_class_name":"com.databricks.OrdersIngest","parameters":["--data","dbfs:/path/to/order-data.json"]},"task_key":"Orders_Ingest","timeout_seconds":86400},{"depends_on":[{"task_key":"Orders_Ingest"},{"task_key":"Sessionize"}],"description":"Matches orders with user sessions","max_retries":3,"min_retry_interval_millis":2000,"new_cluster":{"autoscale":{"max_workers":16,"min_workers":2},"node_type_id":null,"spark_conf":{"spark.speculation":true},"spark_version":"7.3.x-scala2.12"},"notebook_task":{"base_parameters":{"age":"35","name":"John Doe"},"notebook_path":"/Users/user.name@databricks.com/Match"},"retry_on_timeout":false,"run_if":"ALL_SUCCESS","task_key":"Match","timeout_seconds":86400}]},"timeout_seconds":{"description":"An optional timeout applied to each run of this job. A value of `0` means no timeout.","type":"integer","format":"int32","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings21.timeout_seconds","default":0,"example":86400},"trigger":{"description":"A configuration to trigger a run when certain conditions are met. The default behavior is that the job runs only when triggered by clicking “Run Now” in the Jobs UI or sending an API request to `runNow`.","$ref":"#/components/schemas/jobs.TriggerSettings21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings21.trigger","x-databricks-sdk-name":"TriggerSettings21","x-databricks-legacy-name":"TriggerSettings21","x-databricks-stable-name":"TriggerSettings21"},"webhook_notifications":{"description":"A collection of system notification IDs to notify when runs of this job begin or complete.","$ref":"#/components/schemas/jobs.WebhookNotifications21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings21.webhook_notifications","x-databricks-sdk-name":"WebhookNotifications21","x-databricks-legacy-name":"WebhookNotifications21","x-databricks-stable-name":"WebhookNotifications21","default":{}}},"x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"CreateJob21","x-databricks-legacy-name":"CreateJob21","x-databricks-stable-name":"CreateJob21"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_jobs_delete","parameters":{"data":{"type":"object","required":["job_id"],"properties":{"job_id":{"description":"The canonical identifier of the job to delete. This field is required.","type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.DeleteJob21.job_id","example":11223344}},"x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"DeleteJob21","x-databricks-legacy-name":"DeleteJob21","x-databricks-stable-name":"DeleteJob21"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_jobs_get","parameters":{"job_id":{"type":"integer","description":"The canonical identifier of the job to retrieve information about. This field is required."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_jobs_list","parameters":{"offset":{"type":"integer","description":"The offset of the first job to return, relative to the most recently created job.\nDeprecated since June 2023. Use `page_token` to iterate through the pages instead."},"limit":{"type":"integer","description":"The number of jobs to return. This value must be greater than 0 and less or equal to 100. The default value is 20."},"expand_tasks":{"type":"boolean","description":"Whether to include task and cluster details in the response."},"name":{"type":"string","description":"A filter on the list based on the exact (case insensitive) job name."},"page_token":{"type":"string","description":"Use `next_page_token` or `prev_page_token` returned from the previous request to list the next or previous page of jobs respectively."}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_jobs_reset","parameters":{"data":{"type":"object","required":["job_id","new_settings"],"properties":{"job_id":{"description":"The canonical identifier of the job to reset. This field is required.","type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.ResetJob21.job_id","example":11223344},"new_settings":{"description":"The new settings of the job. These settings completely replace the old settings.\n\nChanges to the field `JobBaseSettings.timeout_seconds` are applied to active runs. Changes to other fields are applied to future runs only.","$ref":"#/components/schemas/jobs.JobSettings21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.ResetJob21.new_settings","x-databricks-sdk-name":"JobSettings21","x-databricks-legacy-name":"JobSettings21","x-databricks-stable-name":"JobSettings21"}},"x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"ResetJob21","x-databricks-legacy-name":"ResetJob21","x-databricks-stable-name":"ResetJob21"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_jobs_run_now","parameters":{"data":{"type":"object","required":["job_id"],"properties":{"dbt_commands":{"description":"An array of commands to execute for jobs with the dbt task, for example `\"dbt_commands\": [\"dbt deps\", \"dbt seed\", \"dbt deps\", \"dbt seed\", \"dbt run\"]`","type":"array","items":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunParameters21.dbt_commands.array_value"},"x-databricks-api-version":"legacy","deprecated":true,"x-databricks-schema-id":"jobs.RunParameters21.dbt_commands","example":["dbt deps","dbt seed","dbt run"]},"idempotency_token":{"description":"An optional token to guarantee the idempotency of job run requests. If a run with the provided token already exists,\nthe request does not create a new run but returns the ID of the existing run instead. If a run with the provided token is deleted,\nan error is returned.\n\nIf you specify the idempotency token, upon failure you can retry until the request succeeds. Databricks guarantees that exactly one run\nis launched with that idempotency token.\n\nThis token must have at most 64 characters.\n\nFor more information, see [How to ensure idempotency for jobs](https://kb.databricks.com/jobs/jobs-idempotency.html).","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunNow21.idempotency_token","example":"8f018174-4792-40d5-bcbc-3e6a527352c8"},"jar_params":{"description":"A list of parameters for jobs with Spark JAR tasks, for example `\"jar_params\": [\"john doe\", \"35\"]`.\nThe parameters are used to invoke the main function of the main class specified in the Spark JAR task.\nIf not specified upon `run-now`, it defaults to an empty list.\njar_params cannot be specified in conjunction with notebook_params.\nThe JSON representation of this field (for example `{\"jar_params\":[\"john doe\",\"35\"]}`) cannot exceed 10,000 bytes.\n\nUse [Task parameter variables](https://docs.databricks.com/jobs.html#parameter-variables) to set parameters containing information about job runs.","type":"array","items":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunParameters21.jar_params.array_value"},"x-databricks-api-version":"legacy","deprecated":true,"x-databricks-schema-id":"jobs.RunParameters21.jar_params","example":["john","doe","35"]},"job_id":{"description":"The ID of the job to be executed","type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunNow21.job_id","example":11223344},"job_parameters":{"description":"Job-level parameters used in the run. for example `\"param\": \"overriding_val\"`","type":"object","additionalProperties":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.ParamPair21.value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunNow21.job_parameters"},"notebook_params":{"description":"A map from keys to values for jobs with notebook task, for example `\"notebook_params\": {\"name\": \"john doe\", \"age\": \"35\"}`.\nThe map is passed to the notebook and is accessible through the [dbutils.widgets.get](https://docs.databricks.com/dev-tools/databricks-utils.html) function.\n\nIf not specified upon `run-now`, the triggered run uses the job’s base parameters.\n\nnotebook_params cannot be specified in conjunction with jar_params.\n\nUse [Task parameter variables](https://docs.databricks.com/jobs.html#parameter-variables) to set parameters containing information about job runs.\n\nThe JSON representation of this field (for example `{\"notebook_params\":{\"name\":\"john doe\",\"age\":\"35\"}}`) cannot exceed 10,000 bytes.","type":"object","additionalProperties":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.ParamPair21.value"},"x-databricks-api-version":"legacy","deprecated":true,"x-databricks-schema-id":"jobs.RunParameters21.notebook_params","example":{"age":"35","name":"john doe"}},"only":{"description":"A list of task keys to run inside of the job. If this field is not provided, all tasks in the job will be run.","type":"array","items":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunNow21.only.array_value","example":"notebook_task_1"},"x-databricks-api-version":"legacy","x-databricks-launch-stage":"GA","x-databricks-schema-id":"jobs.RunNow21.only"},"performance_target":{"description":"The performance mode on a serverless job. The performance target determines the level of compute performance or cost-efficiency for the run. This field overrides the performance target defined on the job level.\n\n* `STANDARD`: Enables cost-efficient execution of serverless workloads.\n* `PERFORMANCE_OPTIMIZED`: Prioritizes fast startup and execution times through rapid scaling and optimized cluster performance.","$ref":"#/components/schemas/jobs.PerformanceTarget21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunNow21.performance_target","x-databricks-sdk-name":"PerformanceTarget21","x-databricks-legacy-name":"PerformanceTarget21","x-databricks-stable-name":"PerformanceTarget21"},"pipeline_params":{"description":"Controls whether the pipeline should perform a full refresh","$ref":"#/components/schemas/jobs.PipelineParams21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunParameters21.pipeline_params","x-databricks-sdk-name":"PipelineParams21","x-databricks-legacy-name":"PipelineParams21","x-databricks-stable-name":"PipelineParams21"},"python_named_params":{"type":"object","additionalProperties":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.ParamPair21.value"},"x-databricks-api-version":"legacy","deprecated":true,"x-databricks-schema-id":"jobs.RunParameters21.python_named_params","example":{"data":"dbfs:/path/to/data.json","name":"task"}},"python_params":{"description":"A list of parameters for jobs with Python tasks, for example `\"python_params\": [\"john doe\", \"35\"]`.\nThe parameters are passed to Python file as command-line parameters. If specified upon `run-now`, it would overwrite\nthe parameters specified in job setting. The JSON representation of this field (for example `{\"python_params\":[\"john doe\",\"35\"]}`)\ncannot exceed 10,000 bytes.\n\nUse [Task parameter variables](https://docs.databricks.com/jobs.html#parameter-variables) to set parameters containing information about job runs.\n\nImportant\n\nThese parameters accept only Latin characters (ASCII character set). Using non-ASCII characters returns an error.\nExamples of invalid, non-ASCII characters are Chinese, Japanese kanjis, and emojis.","type":"array","items":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunParameters21.python_params.array_value"},"x-databricks-api-version":"legacy","deprecated":true,"x-databricks-schema-id":"jobs.RunParameters21.python_params","example":["john doe","35"]},"queue":{"description":"The queue settings of the run.","$ref":"#/components/schemas/jobs.QueueSettings21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunNow21.queue","x-databricks-sdk-name":"QueueSettings21","x-databricks-legacy-name":"QueueSettings21","x-databricks-stable-name":"QueueSettings21"},"spark_submit_params":{"description":"A list of parameters for jobs with spark submit task, for example `\"spark_submit_params\": [\"--class\", \"org.apache.spark.examples.SparkPi\"]`.\nThe parameters are passed to spark-submit script as command-line parameters. If specified upon `run-now`, it would overwrite the\nparameters specified in job setting. The JSON representation of this field (for example `{\"python_params\":[\"john doe\",\"35\"]}`)\ncannot exceed 10,000 bytes.\n\nUse [Task parameter variables](https://docs.databricks.com/jobs.html#parameter-variables) to set parameters containing information about job runs\n\nImportant\n\nThese parameters accept only Latin characters (ASCII character set). Using non-ASCII characters returns an error.\nExamples of invalid, non-ASCII characters are Chinese, Japanese kanjis, and emojis.","type":"array","items":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunParameters21.spark_submit_params.array_value"},"x-databricks-api-version":"legacy","deprecated":true,"x-databricks-schema-id":"jobs.RunParameters21.spark_submit_params","example":["--class","org.apache.spark.examples.SparkPi"]},"sql_params":{"description":"A map from keys to values for jobs with SQL task, for example `\"sql_params\": {\"name\": \"john doe\", \"age\": \"35\"}`. The SQL alert task does not support custom parameters.","type":"object","additionalProperties":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.ParamPair21.value"},"x-databricks-api-version":"legacy","deprecated":true,"x-databricks-not-cloud":"gcp","x-databricks-schema-id":"jobs.RunParameters21.sql_params","example":{"age":"35","name":"john doe"}}},"x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"RunNow21","x-databricks-legacy-name":"RunNow21","x-databricks-stable-name":"RunNow21"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_jobs_runs_cancel","parameters":{"data":{"type":"object","required":["run_id"],"properties":{"run_id":{"description":"This field is required.","type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.CancelRun21.run_id","example":455644833}},"x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"CancelRun21","x-databricks-legacy-name":"CancelRun21","x-databricks-stable-name":"CancelRun21"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_jobs_runs_cancel_all","parameters":{"data":{"type":"object","properties":{"all_queued_runs":{"description":"Optional boolean parameter to cancel all queued runs. If no job_id is provided, all queued runs in the workspace are canceled.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.CancelAllRuns21.all_queued_runs","default":false,"example":false},"job_id":{"description":"The canonical identifier of the job to cancel all runs of.","type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.CancelAllRuns21.job_id","example":11223344}},"x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"CancelAllRuns21","x-databricks-legacy-name":"CancelAllRuns21","x-databricks-stable-name":"CancelAllRuns21"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_jobs_runs_delete","parameters":{"data":{"type":"object","required":["run_id"],"properties":{"run_id":{"description":"ID of the run to delete.","type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.DeleteRun21.run_id","example":455644833}},"x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"DeleteRun21","x-databricks-legacy-name":"DeleteRun21","x-databricks-stable-name":"DeleteRun21"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_jobs_runs_export","parameters":{"run_id":{"type":"integer","description":"The canonical identifier for the run. This field is required."},"views_to_export":{"type":"string","description":"Which views to export (CODE, DASHBOARDS, or ALL). Defaults to CODE."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_jobs_runs_get","parameters":{"run_id":{"type":"integer","description":"The canonical identifier of the run for which to retrieve the metadata.\nThis field is required."},"include_history":{"type":"boolean","description":"Whether to include the repair history in the response."},"include_resolved_values":{"type":"boolean","description":"Whether to include resolved parameter values in the response."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_jobs_runs_get_output","parameters":{"run_id":{"type":"integer","description":"The canonical identifier for the run."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_jobs_runs_list","parameters":{"job_id":{"type":"integer","description":"The job for which to list runs. If omitted, the Jobs service lists runs from all jobs."},"active_only":{"type":"boolean","description":"If active_only is `true`, only active runs are included in the results; otherwise,\nlists both active and completed runs. An active run is a run in the `QUEUED`, `PENDING`,\n`RUNNING`, or `TERMINATING`. This field cannot be `true` when completed_only is `true`."},"completed_only":{"type":"boolean","description":"If completed_only is `true`, only completed runs are included in the results;\notherwise, lists both active and completed runs. This field cannot be `true` when\nactive_only is `true`."},"offset":{"type":"integer","description":"The offset of the first run to return, relative to the most recent run.\nDeprecated since June 2023. Use `page_token` to iterate through the pages instead."},"limit":{"type":"integer","description":"The number of runs to return. This value must be greater than 0 and less than 25.\nThe default value is 20. If a request specifies a limit of 0, the service instead\nuses the maximum limit."},"run_type":{"type":"string","description":"The type of runs to return. For a description of run types, see :method:jobs/getRun."},"expand_tasks":{"type":"boolean","description":"Whether to include task and cluster details in the response."},"start_time_from":{"type":"integer","description":"Show runs that started _at or after_ this value. The value must be a UTC timestamp\nin milliseconds. Can be combined with _start_time_to_ to filter by a time range."},"start_time_to":{"type":"integer","description":"Show runs that started _at or before_ this value. The value must be a UTC timestamp\nin milliseconds. Can be combined with _start_time_from_ to filter by a time range."},"page_token":{"type":"string","description":"Use `next_page_token` or `prev_page_token` returned from the previous request to list the next or previous page of runs respectively."}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_jobs_runs_repair","parameters":{"data":{"type":"object","required":["run_id"],"properties":{"dbt_commands":{"description":"An array of commands to execute for jobs with the dbt task, for example `\"dbt_commands\": [\"dbt deps\", \"dbt seed\", \"dbt deps\", \"dbt seed\", \"dbt run\"]`","type":"array","items":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunParameters21.dbt_commands.array_value"},"x-databricks-api-version":"legacy","deprecated":true,"x-databricks-schema-id":"jobs.RunParameters21.dbt_commands","example":["dbt deps","dbt seed","dbt run"]},"jar_params":{"description":"A list of parameters for jobs with Spark JAR tasks, for example `\"jar_params\": [\"john doe\", \"35\"]`.\nThe parameters are used to invoke the main function of the main class specified in the Spark JAR task.\nIf not specified upon `run-now`, it defaults to an empty list.\njar_params cannot be specified in conjunction with notebook_params.\nThe JSON representation of this field (for example `{\"jar_params\":[\"john doe\",\"35\"]}`) cannot exceed 10,000 bytes.\n\nUse [Task parameter variables](https://docs.databricks.com/jobs.html#parameter-variables) to set parameters containing information about job runs.","type":"array","items":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunParameters21.jar_params.array_value"},"x-databricks-api-version":"legacy","deprecated":true,"x-databricks-schema-id":"jobs.RunParameters21.jar_params","example":["john","doe","35"]},"job_parameters":{"description":"Job-level parameters used in the run. for example `\"param\": \"overriding_val\"`","type":"object","additionalProperties":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.ParamPair21.value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RepairRun21.job_parameters"},"latest_repair_id":{"description":"The ID of the latest repair. This parameter is not required when repairing a run for the first time, but must be provided on subsequent requests to repair the same run.","type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RepairRun21.latest_repair_id","example":734650698524280},"notebook_params":{"description":"A map from keys to values for jobs with notebook task, for example `\"notebook_params\": {\"name\": \"john doe\", \"age\": \"35\"}`.\nThe map is passed to the notebook and is accessible through the [dbutils.widgets.get](https://docs.databricks.com/dev-tools/databricks-utils.html) function.\n\nIf not specified upon `run-now`, the triggered run uses the job’s base parameters.\n\nnotebook_params cannot be specified in conjunction with jar_params.\n\nUse [Task parameter variables](https://docs.databricks.com/jobs.html#parameter-variables) to set parameters containing information about job runs.\n\nThe JSON representation of this field (for example `{\"notebook_params\":{\"name\":\"john doe\",\"age\":\"35\"}}`) cannot exceed 10,000 bytes.","type":"object","additionalProperties":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.ParamPair21.value"},"x-databricks-api-version":"legacy","deprecated":true,"x-databricks-schema-id":"jobs.RunParameters21.notebook_params","example":{"age":"35","name":"john doe"}},"performance_target":{"description":"The performance mode on a serverless job. The performance target determines the level of compute performance or cost-efficiency for the run. This field overrides the performance target defined on the job level.\n\n* `STANDARD`: Enables cost-efficient execution of serverless workloads.\n* `PERFORMANCE_OPTIMIZED`: Prioritizes fast startup and execution times through rapid scaling and optimized cluster performance.","$ref":"#/components/schemas/jobs.PerformanceTarget21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RepairRun21.performance_target","x-databricks-sdk-name":"PerformanceTarget21","x-databricks-legacy-name":"PerformanceTarget21","x-databricks-stable-name":"PerformanceTarget21"},"pipeline_params":{"description":"Controls whether the pipeline should perform a full refresh","$ref":"#/components/schemas/jobs.PipelineParams21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunParameters21.pipeline_params","x-databricks-sdk-name":"PipelineParams21","x-databricks-legacy-name":"PipelineParams21","x-databricks-stable-name":"PipelineParams21"},"python_named_params":{"type":"object","additionalProperties":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.ParamPair21.value"},"x-databricks-api-version":"legacy","deprecated":true,"x-databricks-schema-id":"jobs.RunParameters21.python_named_params","example":{"data":"dbfs:/path/to/data.json","name":"task"}},"python_params":{"description":"A list of parameters for jobs with Python tasks, for example `\"python_params\": [\"john doe\", \"35\"]`.\nThe parameters are passed to Python file as command-line parameters. If specified upon `run-now`, it would overwrite\nthe parameters specified in job setting. The JSON representation of this field (for example `{\"python_params\":[\"john doe\",\"35\"]}`)\ncannot exceed 10,000 bytes.\n\nUse [Task parameter variables](https://docs.databricks.com/jobs.html#parameter-variables) to set parameters containing information about job runs.\n\nImportant\n\nThese parameters accept only Latin characters (ASCII character set). Using non-ASCII characters returns an error.\nExamples of invalid, non-ASCII characters are Chinese, Japanese kanjis, and emojis.","type":"array","items":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunParameters21.python_params.array_value"},"x-databricks-api-version":"legacy","deprecated":true,"x-databricks-schema-id":"jobs.RunParameters21.python_params","example":["john doe","35"]},"rerun_all_failed_tasks":{"description":"If true, repair all failed tasks. Only one of `rerun_tasks` or `rerun_all_failed_tasks` can be used.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RepairRun21.rerun_all_failed_tasks","default":false},"rerun_dependent_tasks":{"description":"If true, repair all tasks that depend on the tasks in `rerun_tasks`, even if they were previously successful. Can be also used in combination with `rerun_all_failed_tasks`.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RepairRun21.rerun_dependent_tasks","default":false},"rerun_tasks":{"description":"The task keys of the task runs to repair.","type":"array","items":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RepairRun21.rerun_tasks.array_value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RepairRun21.rerun_tasks","example":["task0","task1"]},"run_id":{"description":"The job run ID of the run to repair. The run must not be in progress.","type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RepairRun21.run_id","example":455644833},"spark_submit_params":{"description":"A list of parameters for jobs with spark submit task, for example `\"spark_submit_params\": [\"--class\", \"org.apache.spark.examples.SparkPi\"]`.\nThe parameters are passed to spark-submit script as command-line parameters. If specified upon `run-now`, it would overwrite the\nparameters specified in job setting. The JSON representation of this field (for example `{\"python_params\":[\"john doe\",\"35\"]}`)\ncannot exceed 10,000 bytes.\n\nUse [Task parameter variables](https://docs.databricks.com/jobs.html#parameter-variables) to set parameters containing information about job runs\n\nImportant\n\nThese parameters accept only Latin characters (ASCII character set). Using non-ASCII characters returns an error.\nExamples of invalid, non-ASCII characters are Chinese, Japanese kanjis, and emojis.","type":"array","items":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunParameters21.spark_submit_params.array_value"},"x-databricks-api-version":"legacy","deprecated":true,"x-databricks-schema-id":"jobs.RunParameters21.spark_submit_params","example":["--class","org.apache.spark.examples.SparkPi"]},"sql_params":{"description":"A map from keys to values for jobs with SQL task, for example `\"sql_params\": {\"name\": \"john doe\", \"age\": \"35\"}`. The SQL alert task does not support custom parameters.","type":"object","additionalProperties":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.ParamPair21.value"},"x-databricks-api-version":"legacy","deprecated":true,"x-databricks-not-cloud":"gcp","x-databricks-schema-id":"jobs.RunParameters21.sql_params","example":{"age":"35","name":"john doe"}}},"x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"RepairRun21","x-databricks-legacy-name":"RepairRun21","x-databricks-stable-name":"RepairRun21"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_jobs_runs_submit","parameters":{"data":{"type":"object","properties":{"access_control_list":{"description":"List of permissions to set on the job.","type":"array","items":{"$ref":"#/components/schemas/jobs.JobAccessControlRequest","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.SubmitRun21.access_control_list.array_value","x-databricks-sdk-name":"JobAccessControlRequest","x-databricks-legacy-name":"JobAccessControlRequest","x-databricks-stable-name":"JobAccessControlRequest"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.SubmitRun21.access_control_list"},"email_notifications":{"description":"An optional set of email addresses notified when the run begins or completes.","$ref":"#/components/schemas/jobs.JobEmailNotifications21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunSettings21.email_notifications","x-databricks-sdk-name":"JobEmailNotifications21","x-databricks-legacy-name":"JobEmailNotifications21","x-databricks-stable-name":"JobEmailNotifications21","default":{}},"environments":{"description":"A list of task execution environment specifications that can be referenced by tasks of this run.","type":"array","items":{"$ref":"#/components/schemas/jobs.JobEnvironment21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunSettings21.environments.array_value","x-databricks-sdk-name":"JobEnvironment21","x-databricks-legacy-name":"JobEnvironment21","x-databricks-stable-name":"JobEnvironment21"},"x-databricks-api-version":"legacy","maxItems":10,"x-databricks-schema-id":"jobs.RunSettings21.environments"},"git_source":{"description":"An optional specification for a remote Git repository containing the source code used by tasks. Version-controlled source code is supported by notebook, dbt, Python script, and SQL File tasks.\n\nIf `git_source` is set, these tasks retrieve the file from the remote repository by default. However, this behavior can be overridden by setting `source` to `WORKSPACE` on the task.\n\nNote: dbt and SQL File tasks support only version-controlled sources. If dbt or SQL File tasks are used, `git_source` must be defined on the job.","$ref":"#/components/schemas/jobs.GitSource21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunSettings21.git_source","x-databricks-sdk-name":"GitSource21","x-databricks-legacy-name":"GitSource21","x-databricks-stable-name":"GitSource21"},"health":{"$ref":"#/components/schemas/jobs.JobsHealthRules21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunSettings21.health","x-databricks-sdk-name":"JobsHealthRules21","x-databricks-legacy-name":"JobsHealthRules21","x-databricks-stable-name":"JobsHealthRules21"},"idempotency_token":{"description":"An optional token that can be used to guarantee the idempotency of job run requests. If a run with the provided token already exists,\nthe request does not create a new run but returns the ID of the existing run instead. If a run with the provided token is deleted,\nan error is returned.\n\nIf you specify the idempotency token, upon failure you can retry until the request succeeds. Databricks guarantees that exactly\none run is launched with that idempotency token.\n\nThis token must have at most 64 characters.\n\nFor more information, see [How to ensure idempotency for jobs](https://kb.databricks.com/jobs/jobs-idempotency.html).","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunSettings21.idempotency_token","example":"8f018174-4792-40d5-bcbc-3e6a527352c8"},"notification_settings":{"description":"Optional notification settings that are used when sending notifications to each of the `email_notifications` and `webhook_notifications` for this run.","$ref":"#/components/schemas/jobs.JobNotificationSettings21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunSettings21.notification_settings","x-databricks-sdk-name":"JobNotificationSettings21","x-databricks-legacy-name":"JobNotificationSettings21","x-databricks-stable-name":"JobNotificationSettings21","default":{}},"queue":{"description":"The queue settings of the one-time run.","$ref":"#/components/schemas/jobs.QueueSettings21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.SubmitRun21.queue","x-databricks-sdk-name":"QueueSettings21","x-databricks-legacy-name":"QueueSettings21","x-databricks-stable-name":"QueueSettings21"},"run_as":{"description":"Specifies the user or service principal that the job runs as. If not specified, the job runs as the user who submits the request.","$ref":"#/components/schemas/jobs.JobRunAs21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.SubmitRun21.run_as","x-databricks-sdk-name":"JobRunAs21","x-databricks-legacy-name":"JobRunAs21","x-databricks-stable-name":"JobRunAs21"},"run_name":{"description":"An optional name for the run. The default value is `Untitled`.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunSettings21.run_name","default":"Untitled","example":"A multitask job run"},"tasks":{"type":"array","items":{"$ref":"#/components/schemas/jobs.SubmitTask21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunSettings21.tasks.array_value","x-databricks-sdk-name":"SubmitTask21","x-databricks-legacy-name":"SubmitTask21","x-databricks-stable-name":"SubmitTask21"},"x-databricks-api-version":"legacy","maxItems":100,"x-databricks-schema-id":"jobs.RunSettings21.tasks","example":[{"depends_on":[],"description":"Extracts session data from events","existing_cluster_id":"0923-164208-meows279","libraries":[{"jar":"dbfs:/mnt/databricks/Sessionize.jar"}],"min_retry_interval_millis":2000,"retry_on_timeout":false,"spark_jar_task":{"main_class_name":"com.databricks.Sessionize","parameters":["--data","dbfs:/path/to/data.json"]},"task_key":"Sessionize","timeout_seconds":86400},{"depends_on":[],"description":"Ingests order data","existing_cluster_id":"0923-164208-meows279","libraries":[{"jar":"dbfs:/mnt/databricks/OrderIngest.jar"}],"spark_jar_task":{"main_class_name":"com.databricks.OrdersIngest","parameters":["--data","dbfs:/path/to/order-data.json"]},"task_key":"Orders_Ingest","timeout_seconds":86400},{"depends_on":[{"task_key":"Orders_Ingest"},{"task_key":"Sessionize"}],"description":"Matches orders with user sessions","new_cluster":{"autoscale":{"max_workers":16,"min_workers":2},"node_type_id":null,"spark_conf":{"spark.speculation":true},"spark_version":"7.3.x-scala2.12"},"notebook_task":{"base_parameters":{"age":"35","name":"John Doe"},"notebook_path":"/Users/user.name@databricks.com/Match"},"retry_on_timeout":false,"run_if":"ALL_SUCCESS","task_key":"Match","timeout_seconds":86400}]},"timeout_seconds":{"description":"An optional timeout applied to each run of this job. A value of `0` means no timeout.","type":"integer","format":"int32","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunSettings21.timeout_seconds","default":0,"example":86400},"webhook_notifications":{"description":"A collection of system notification IDs to notify when the run begins or completes.","$ref":"#/components/schemas/jobs.WebhookNotifications21","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunSettings21.webhook_notifications","x-databricks-sdk-name":"WebhookNotifications21","x-databricks-legacy-name":"WebhookNotifications21","x-databricks-stable-name":"WebhookNotifications21","default":{}}},"x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"SubmitRun21","x-databricks-legacy-name":"SubmitRun21","x-databricks-stable-name":"SubmitRun21"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_jobs_update","parameters":{"data":{"type":"object","required":["job_id"],"properties":{"fields_to_remove":{"description":"Remove top-level fields in the job settings. Removing nested fields is not supported, except for tasks and job clusters (`tasks/task_1`). This field is optional.","type":"array","items":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.UpdateJob21.fields_to_remove.array_value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.UpdateJob21.fields_to_remove","example":["libraries","schedule","tasks/task_1","job_clusters/Default"]},"job_id":{"description":"The canonical identifier of the job to update. This field is required.","type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.UpdateJob21.job_id","example":11223344},"new_settings":{"description":"The new settings for the job.\n\nTop-level fields specified in `new_settings` are completely replaced, except for arrays which are merged. That is, new and existing entries are completely replaced based on the respective key fields, i.e. `task_key` or `job_cluster_key`, while previous entries are kept.\n\nPartially updating nested fields is not supported.\n\nChanges to the field `JobSettings.timeout_seconds` are applied to active runs. 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previous query."}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_unity_catalog_metastores","parameters":{"data":{"type":"object","required":["name"],"properties":{"name":{"description":"The user-specified name of the metastore.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.MetastoreInfo.name"},"region":{"description":"Cloud region which the metastore serves (e.g., `us-west-2`, `westus`).","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.MetastoreInfo.region"},"storage_root":{"description":"The storage root URL for 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name.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.MetastoreInfo.delta_sharing_organization_name"},"delta_sharing_recipient_token_lifetime_in_seconds":{"description":"The lifetime of delta sharing recipient token in seconds.","type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.MetastoreInfo.delta_sharing_recipient_token_lifetime_in_seconds"},"delta_sharing_scope":{"description":"The scope of Delta Sharing enabled for the metastore.","$ref":"#/components/schemas/catalog.DeltaSharingScopeEnum","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.MetastoreInfo.delta_sharing_scope","x-databricks-sdk-name":"DeltaSharingScopeEnum","x-databricks-legacy-name":"DeltaSharingScopeEnum","x-databricks-stable-name":"DeltaSharingScopeEnum"},"new_name":{"description":"New name for the metastore.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.UpdateMetastore.new_name"},"owner":{"description":"The owner of the metastore.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.MetastoreInfo.owner"},"privilege_model_version":{"description":"Privilege model version of the metastore, of the form `major.minor` (e.g., `1.0`).","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.MetastoreInfo.privilege_model_version"},"storage_root_credential_id":{"description":"UUID of storage credential to access the metastore storage_root.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.MetastoreInfo.storage_root_credential_id"}},"x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"UpdateMetastore","x-databricks-legacy-name":"UpdateMetastore","x-databricks-stable-name":"UpdateMetastore"}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.1_unity_catalog_metastores_by_id","parameters":{"id":{"type":"string","description":"Unique ID of the metastore."},"force":{"type":"boolean","description":"Force deletion even if the metastore is not empty. Default is false."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_metastores_by_metastore_id_systemschemas","parameters":{"metastore_id":{"type":"string","description":"The ID for the metastore in which the system schema resides."},"max_results":{"type":"integer","description":"Maximum number of schemas to return.\n- When set to 0, the page length is set to a server configured value (recommended);\n- When set to a value greater than 0, the page length is the minimum of this value and a server configured value;\n- When set to a value less than 0, an invalid parameter error is returned;\n- If not set, all the schemas are returned (not recommended)."},"page_token":{"type":"string","description":"Opaque pagination token to go to next page based on previous query."}}},{"connectionName":"databricks-workspace","actionName":"put_api_2.1_unity_catalog_metastores_by_metastore_id_systemschemas_by_schema_name","parameters":{"metastore_id":{"type":"string","description":"The metastore ID under which the system schema lives."},"schema_name":{"type":"string","description":"Full name of the system schema."},"data":{"type":"object","properties":{"catalog_name":{"description":"the catalog for which the system schema is to enabled in","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.EnableSystemSchema.catalog_name"}},"x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"enableRequest","x-databricks-legacy-name":"enableRequest","x-databricks-stable-name":"enableRequest"}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.1_unity_catalog_metastores_by_metastore_id_systemschemas_by_schema_name","parameters":{"metastore_id":{"type":"string","description":"The metastore ID under which the system schema lives."},"schema_name":{"type":"string","description":"Full name of the system schema."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_models","parameters":{"catalog_name":{"type":"string","description":"The identifier of the catalog under which to list registered models.\n If specified, schema_name must be specified."},"schema_name":{"type":"string","description":"The identifier of the schema under which to list registered models.\n If specified, catalog_name must be specified."},"max_results":{"type":"integer","description":"Max number of registered models to return.\n\nIf both catalog and schema are specified:\n- when max_results is not specified, the page length is set to a server configured value (10000, as of 4/2/2024).\n- when set to a value greater than 0, the page length is the minimum of this value and a server configured value (10000, as of 4/2/2024);\n- when set to 0, the page length is set to a server configured value (10000, as of 4/2/2024);\n- when set to a value less than 0, an invalid parameter error is returned;\n\nIf neither schema nor catalog is specified:\n- when max_results is not specified, the page length is set to a server configured value (100, as of 4/2/2024).\n- when set to a value greater than 0, the page length is the minimum of this value and a server configured value (1000, as of 4/2/2024);\n- when set to 0, the page length is set to a server configured value (100, as of 4/2/2024);\n- when set to a value less than 0, an invalid parameter error is returned;\n"},"page_token":{"type":"string","description":"Opaque token to send for the next page of results (pagination)."},"include_browse":{"type":"boolean","description":"Whether to include registered models in the response for which the principal can only access selective metadata for"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_unity_catalog_models","parameters":{"data":{"type":"object","required":["catalog_name","schema_name","name"],"properties":{"catalog_name":{"description":"The name of the catalog where the schema and the registered model reside","type":"string","x-databricks-api-version":"legacy"},"comment":{"description":"The comment attached to the registered model","type":"string","x-databricks-api-version":"legacy","minLength":1,"maxLength":65536},"name":{"description":"The name of the registered model","type":"string","x-databricks-api-version":"legacy"},"schema_name":{"description":"The name of the schema where the registered model resides","type":"string","x-databricks-api-version":"legacy"},"storage_location":{"description":"The storage location on the cloud under which model version data files are stored","type":"string","x-databricks-api-version":"legacy","readOnly":true}},"x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-sdk-name":"CreateRegisteredModelRequest","x-databricks-legacy-name":"CreateRegisteredModelRequest","x-databricks-stable-name":"CreateRegisteredModelRequest"}}},{"connectionName":"databricks-workspace","actionName":"parameters_api_2.1_unity_catalog_models_by_full_name","parameters":{"full_name":{"type":"string"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_models_by_full_name","parameters":{"full_name":{"type":"string"},"include_browse":{"type":"boolean","description":"Whether to include registered models in the response for which the principal can only access selective metadata for"},"include_aliases":{"type":"boolean","description":"Whether to include registered model aliases in the response"}}},{"connectionName":"databricks-workspace","actionName":"patch_api_2.1_unity_catalog_models_by_full_name","parameters":{"full_name":{"type":"string"},"data":{"type":"object","properties":{"comment":{"description":"The comment attached to the registered model","type":"string","x-databricks-api-version":"legacy","minLength":1,"maxLength":65536},"new_name":{"description":"New name for the registered model.","type":"string","x-databricks-api-version":"legacy"},"owner":{"description":"The identifier of the user who owns the registered model","type":"string","x-databricks-api-version":"legacy"}},"x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-sdk-name":"UpdateRegisteredModelRequest","x-databricks-legacy-name":"UpdateRegisteredModelRequest","x-databricks-stable-name":"UpdateRegisteredModelRequest"}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.1_unity_catalog_models_by_full_name","parameters":{"full_name":{"type":"string"}}},{"connectionName":"databricks-workspace","actionName":"parameters_api_2.1_unity_catalog_models_by_full_name_aliases_by_alias","parameters":{"full_name":{"type":"string"},"alias":{"type":"string"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_models_by_full_name_aliases_by_alias","parameters":{"full_name":{"type":"string"},"alias":{"type":"string"},"include_aliases":{"type":"boolean","description":"Whether to include aliases associated with the model version in the response"}}},{"connectionName":"databricks-workspace","actionName":"put_api_2.1_unity_catalog_models_by_full_name_aliases_by_alias","parameters":{"full_name":{"type":"string"},"alias":{"type":"string"},"data":{"type":"object","required":["full_name","alias","version_num"],"properties":{"alias":{"description":"The name of the alias","type":"string","x-databricks-api-version":"legacy"},"full_name":{"description":"Full name of the registered model","type":"string","x-databricks-api-version":"legacy"},"version_num":{"description":"The version number of the model version to which the alias points","type":"integer","x-databricks-api-version":"legacy"}},"x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-sdk-name":"SetRegisteredModelAliasRequest","x-databricks-legacy-name":"SetRegisteredModelAliasRequest","x-databricks-stable-name":"SetRegisteredModelAliasRequest"}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.1_unity_catalog_models_by_full_name_aliases_by_alias","parameters":{"full_name":{"type":"string"},"alias":{"type":"string"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_models_by_full_name_versions","parameters":{"full_name":{"type":"string","description":"The full three-level name of the registered model under which to list model versions"},"max_results":{"type":"integer","description":"Maximum number of model versions to return.\nIf not set, the page length is set to a server configured value (100, as of 1/3/2024).\n- when set to a value greater than 0, the page length is the minimum of this value and a server configured value(1000, as of 1/3/2024);\n- when set to 0, the page length is set to a server configured value (100, as of 1/3/2024) (recommended);\n- when set to a value less than 0, an invalid parameter error is returned;\n"},"page_token":{"type":"string","description":"Opaque pagination token to go to next page based on previous query.\n"},"include_browse":{"type":"boolean","description":"Whether to include model versions in the response for which the principal can only access selective metadata for"}}},{"connectionName":"databricks-workspace","actionName":"parameters_api_2.1_unity_catalog_models_by_full_name_versions_by_version","parameters":{"full_name":{"type":"string"},"version":{"type":"string"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_models_by_full_name_versions_by_version","parameters":{"full_name":{"type":"string"},"version":{"type":"string"},"include_browse":{"type":"boolean","description":"Whether to include model versions in the response for which the principal can only access selective metadata for"},"include_aliases":{"type":"boolean","description":"Whether to include aliases associated with the model version in the response"}}},{"connectionName":"databricks-workspace","actionName":"patch_api_2.1_unity_catalog_models_by_full_name_versions_by_version","parameters":{"full_name":{"type":"string"},"version":{"type":"string"},"data":{"type":"object","properties":{"comment":{"description":"The comment attached to the model version","type":"string","x-databricks-api-version":"legacy","minLength":1,"maxLength":65536}},"x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-sdk-name":"UpdateModelVersionRequest","x-databricks-legacy-name":"UpdateModelVersionRequest","x-databricks-stable-name":"UpdateModelVersionRequest"}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.1_unity_catalog_models_by_full_name_versions_by_version","parameters":{"full_name":{"type":"string"},"version":{"type":"string"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_permissions_by_securable_type_by_full_name","parameters":{"securable_type":{"type":"string","description":"Type of securable."},"full_name":{"type":"string","description":"Full name of securable."},"principal":{"type":"string","description":"If provided, only the permissions for the specified principal (user or group) are returned."},"max_results":{"type":"integer","description":"Specifies the maximum number of privileges to return (page length).\nEvery PrivilegeAssignment present in a single page response is guaranteed to contain all the privileges granted on\nthe requested Securable for the respective principal.\n\nIf not set, all the permissions are returned.\nIf set to\n- lesser than 0: invalid parameter error\n- 0: page length is set to a server configured value\n- lesser than 150 but greater than 0: invalid parameter error (this is to ensure that server is able to return at\nleast one complete PrivilegeAssignment in a single page response)\n- greater than (or equal to) 150: page length is the minimum of this value and a server configured value"},"page_token":{"type":"string","description":"Opaque pagination token to go to next page based on previous query."}}},{"connectionName":"databricks-workspace","actionName":"patch_api_2.1_unity_catalog_permissions_by_securable_type_by_full_name","parameters":{"securable_type":{"type":"string","description":"Type of securable."},"full_name":{"type":"string","description":"Full name of securable."},"data":{"type":"object","properties":{"changes":{"description":"Array of permissions change objects.","type":"array","items":{"$ref":"#/components/schemas/catalog.PermissionsChange","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PermissionsDiff.changes.array_value","x-databricks-sdk-name":"PermissionsChange","x-databricks-legacy-name":"PermissionsChange","x-databricks-stable-name":"PermissionsChange"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PermissionsDiff.changes"}},"x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"UpdatePermissions","x-databricks-legacy-name":"UpdatePermissions","x-databricks-stable-name":"UpdatePermissions"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_unity_catalog_policies","parameters":{"data":{"type":"object","required":["to_principals","for_securable_type","policy_type"],"properties":{"column_mask":{"description":"Options for column mask policies. Valid only if `policy_type` is `POLICY_TYPE_COLUMN_MASK`.\nRequired on create and optional on update. When specified on update,\nthe new options will replace the existing options as a whole.","$ref":"#/components/schemas/catalog.ColumnMaskOptions","x-databricks-package-name":"catalog","x-databricks-field-behaviors":["OPTIONAL"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PolicyInfo.column_mask","x-databricks-sdk-name":"ColumnMaskOptions","x-databricks-legacy-name":"ColumnMaskOptions","x-databricks-stable-name":"ColumnMaskOptions"},"comment":{"description":"Optional description of the policy.","type":"string","x-databricks-field-behaviors":["OPTIONAL"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PolicyInfo.comment"},"created_at":{"description":"Time at which the policy was created, in epoch milliseconds. Output only.","x-databricks-computed":true,"type":"integer","format":"int64","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"managedcatalog.PolicyInfo.created_at"},"created_by":{"description":"Username of the user who created the policy. Output only.","x-databricks-computed":true,"type":"string","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"managedcatalog.PolicyInfo.created_by"},"except_principals":{"description":"Optional list of user or group names that should be excluded from the policy.","type":"array","items":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PolicyInfo.except_principals.array_value"},"x-databricks-field-behaviors":["OPTIONAL"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PolicyInfo.except_principals"},"for_securable_type":{"description":"Type of securables that the policy should take effect on.\nOnly `TABLE` is supported at this moment.\nRequired on create and optional on update.","$ref":"#/components/schemas/catalog.SecurableType","x-databricks-package-name":"catalog","x-databricks-field-behaviors":["REQUIRED"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PolicyInfo.for_securable_type","x-databricks-sdk-name":"SecurableType","x-databricks-legacy-name":"SecurableType","x-databricks-stable-name":"SecurableType"},"id":{"description":"Unique identifier of the policy. This field is output only and is generated by the system.","x-databricks-computed":true,"type":"string","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"managedcatalog.PolicyInfo.id"},"match_columns":{"description":"Optional list of condition expressions used to match table columns.\nOnly valid when `for_securable_type` is `TABLE`.\nWhen specified, the policy only applies to tables whose columns satisfy all match conditions.","type":"array","items":{"$ref":"#/components/schemas/catalog.MatchColumn","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PolicyInfo.match_columns.array_value","x-databricks-sdk-name":"MatchColumn","x-databricks-legacy-name":"MatchColumn","x-databricks-stable-name":"MatchColumn"},"x-databricks-field-behaviors":["OPTIONAL"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PolicyInfo.match_columns"},"name":{"description":"Name of the policy. Required on create and optional on update.\nTo rename the policy, set `name` to a different value on update.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PolicyInfo.name"},"on_securable_fullname":{"description":"Full name of the securable on which the policy is defined.\nRequired on create and ignored on update.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PolicyInfo.on_securable_fullname"},"on_securable_type":{"description":"Type of the securable on which the policy is defined.\nOnly `CATALOG`, `SCHEMA` and `TABLE` are supported at this moment.\nRequired on create and ignored on update.","$ref":"#/components/schemas/catalog.SecurableType","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PolicyInfo.on_securable_type","x-databricks-sdk-name":"SecurableType","x-databricks-legacy-name":"SecurableType","x-databricks-stable-name":"SecurableType"},"policy_type":{"description":"Type of the policy. Required on create and ignored on update.","$ref":"#/components/schemas/catalog.PolicyType","x-databricks-package-name":"catalog","x-databricks-field-behaviors":["REQUIRED"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PolicyInfo.policy_type","x-databricks-sdk-name":"PolicyType","x-databricks-legacy-name":"PolicyType","x-databricks-stable-name":"PolicyType"},"row_filter":{"description":"Options for row filter policies. Valid only if `policy_type` is `POLICY_TYPE_ROW_FILTER`.\nRequired on create and optional on update. When specified on update,\nthe new options will replace the existing options as a whole.","$ref":"#/components/schemas/catalog.RowFilterOptions","x-databricks-package-name":"catalog","x-databricks-field-behaviors":["OPTIONAL"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PolicyInfo.row_filter","x-databricks-sdk-name":"RowFilterOptions","x-databricks-legacy-name":"RowFilterOptions","x-databricks-stable-name":"RowFilterOptions"},"to_principals":{"description":"List of user or group names that the policy applies to.\nRequired on create and optional on update.","type":"array","items":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PolicyInfo.to_principals.array_value"},"x-databricks-field-behaviors":["REQUIRED"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PolicyInfo.to_principals"},"updated_at":{"description":"Time at which the policy was last modified, in epoch milliseconds. Output only.","x-databricks-computed":true,"type":"integer","format":"int64","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"managedcatalog.PolicyInfo.updated_at"},"updated_by":{"description":"Username of the user who last modified the policy. Output only.","x-databricks-computed":true,"type":"string","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"managedcatalog.PolicyInfo.updated_by"},"when_condition":{"description":"Optional condition when the policy should take effect.","type":"string","x-databricks-field-behaviors":["OPTIONAL"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PolicyInfo.when_condition"}},"x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"PolicyInfo","x-databricks-legacy-name":"PolicyInfo","x-databricks-stable-name":"PolicyInfo"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_policies_by_on_securable_type_by_on_securable_fullname","parameters":{"on_securable_type":{"type":"string","description":"Required. The type of the securable to list policies for."},"on_securable_fullname":{"type":"string","description":"Required. The fully qualified name of securable to list policies for."},"include_inherited":{"type":"boolean","description":"Optional. Whether to include policies defined on parent securables.\nBy default, the inherited policies are not included."},"max_results":{"type":"integer","description":"Optional. Maximum number of policies to return on a single page (page length).\n- When not set or set to 0, the page length is set to a server configured value (recommended);\n- When set to a value greater than 0, the page length is the minimum of this value and a server configured value;"},"page_token":{"type":"string","description":"Optional. Opaque pagination token to go to next page based on previous query."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_policies_by_on_securable_type_by_on_securable_fullname_by_name","parameters":{"on_securable_type":{"type":"string","description":"Required. The type of the securable to retrieve the policy for."},"on_securable_fullname":{"type":"string","description":"Required. The fully qualified name of securable to retrieve policy for."},"name":{"type":"string","description":"Required. The name of the policy to retrieve."}}},{"connectionName":"databricks-workspace","actionName":"patch_api_2.1_unity_catalog_policies_by_on_securable_type_by_on_securable_fullname_by_name","parameters":{"on_securable_type":{"type":"string","description":"Required. The type of the securable to update the policy for."},"on_securable_fullname":{"type":"string","description":"Required. The fully qualified name of the securable to update the policy for."},"name":{"type":"string","description":"Required. The name of the policy to update."},"update_mask":{"type":"string","description":"Optional. The update mask field for specifying user intentions on which\nfields to update in the request."},"data":{"type":"object","required":["to_principals","for_securable_type","policy_type"],"properties":{"column_mask":{"description":"Options for column mask policies. Valid only if `policy_type` is `POLICY_TYPE_COLUMN_MASK`.\nRequired on create and optional on update. When specified on update,\nthe new options will replace the existing options as a whole.","$ref":"#/components/schemas/catalog.ColumnMaskOptions","x-databricks-package-name":"catalog","x-databricks-field-behaviors":["OPTIONAL"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PolicyInfo.column_mask","x-databricks-sdk-name":"ColumnMaskOptions","x-databricks-legacy-name":"ColumnMaskOptions","x-databricks-stable-name":"ColumnMaskOptions"},"comment":{"description":"Optional description of the policy.","type":"string","x-databricks-field-behaviors":["OPTIONAL"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PolicyInfo.comment"},"created_at":{"description":"Time at which the policy was created, in epoch milliseconds. Output only.","x-databricks-computed":true,"type":"integer","format":"int64","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"managedcatalog.PolicyInfo.created_at"},"created_by":{"description":"Username of the user who created the policy. Output only.","x-databricks-computed":true,"type":"string","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"managedcatalog.PolicyInfo.created_by"},"except_principals":{"description":"Optional list of user or group names that should be excluded from the policy.","type":"array","items":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PolicyInfo.except_principals.array_value"},"x-databricks-field-behaviors":["OPTIONAL"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PolicyInfo.except_principals"},"for_securable_type":{"description":"Type of securables that the policy should take effect on.\nOnly `TABLE` is supported at this moment.\nRequired on create and optional on update.","$ref":"#/components/schemas/catalog.SecurableType","x-databricks-package-name":"catalog","x-databricks-field-behaviors":["REQUIRED"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PolicyInfo.for_securable_type","x-databricks-sdk-name":"SecurableType","x-databricks-legacy-name":"SecurableType","x-databricks-stable-name":"SecurableType"},"id":{"description":"Unique identifier of the policy. This field is output only and is generated by the system.","x-databricks-computed":true,"type":"string","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"managedcatalog.PolicyInfo.id"},"match_columns":{"description":"Optional list of condition expressions used to match table columns.\nOnly valid when `for_securable_type` is `TABLE`.\nWhen specified, the policy only applies to tables whose columns satisfy all match conditions.","type":"array","items":{"$ref":"#/components/schemas/catalog.MatchColumn","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PolicyInfo.match_columns.array_value","x-databricks-sdk-name":"MatchColumn","x-databricks-legacy-name":"MatchColumn","x-databricks-stable-name":"MatchColumn"},"x-databricks-field-behaviors":["OPTIONAL"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PolicyInfo.match_columns"},"name":{"description":"Name of the policy. Required on create and optional on update.\nTo rename the policy, set `name` to a different value on update.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PolicyInfo.name"},"on_securable_fullname":{"description":"Full name of the securable on which the policy is defined.\nRequired on create and ignored on update.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PolicyInfo.on_securable_fullname"},"on_securable_type":{"description":"Type of the securable on which the policy is defined.\nOnly `CATALOG`, `SCHEMA` and `TABLE` are supported at this moment.\nRequired on create and ignored on update.","$ref":"#/components/schemas/catalog.SecurableType","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PolicyInfo.on_securable_type","x-databricks-sdk-name":"SecurableType","x-databricks-legacy-name":"SecurableType","x-databricks-stable-name":"SecurableType"},"policy_type":{"description":"Type of the policy. Required on create and ignored on update.","$ref":"#/components/schemas/catalog.PolicyType","x-databricks-package-name":"catalog","x-databricks-field-behaviors":["REQUIRED"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PolicyInfo.policy_type","x-databricks-sdk-name":"PolicyType","x-databricks-legacy-name":"PolicyType","x-databricks-stable-name":"PolicyType"},"row_filter":{"description":"Options for row filter policies. Valid only if `policy_type` is `POLICY_TYPE_ROW_FILTER`.\nRequired on create and optional on update. When specified on update,\nthe new options will replace the existing options as a whole.","$ref":"#/components/schemas/catalog.RowFilterOptions","x-databricks-package-name":"catalog","x-databricks-field-behaviors":["OPTIONAL"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PolicyInfo.row_filter","x-databricks-sdk-name":"RowFilterOptions","x-databricks-legacy-name":"RowFilterOptions","x-databricks-stable-name":"RowFilterOptions"},"to_principals":{"description":"List of user or group names that the policy applies to.\nRequired on create and optional on update.","type":"array","items":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PolicyInfo.to_principals.array_value"},"x-databricks-field-behaviors":["REQUIRED"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PolicyInfo.to_principals"},"updated_at":{"description":"Time at which the policy was last modified, in epoch milliseconds. Output only.","x-databricks-computed":true,"type":"integer","format":"int64","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"managedcatalog.PolicyInfo.updated_at"},"updated_by":{"description":"Username of the user who last modified the policy. Output only.","x-databricks-computed":true,"type":"string","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"managedcatalog.PolicyInfo.updated_by"},"when_condition":{"description":"Optional condition when the policy should take effect.","type":"string","x-databricks-field-behaviors":["OPTIONAL"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PolicyInfo.when_condition"}},"x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"PolicyInfo","x-databricks-legacy-name":"PolicyInfo","x-databricks-stable-name":"PolicyInfo"}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.1_unity_catalog_policies_by_on_securable_type_by_on_securable_fullname_by_name","parameters":{"on_securable_type":{"type":"string","description":"Required. The type of the securable to delete the policy from."},"on_securable_fullname":{"type":"string","description":"Required. The fully qualified name of the securable to delete the policy from."},"name":{"type":"string","description":"Required. The name of the policy to delete"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_providers","parameters":{"data_provider_global_metastore_id":{"type":"string","description":"If not provided, all providers will be returned.\nIf no providers exist with this ID, no results will be returned."},"max_results":{"type":"integer","description":"Maximum number of providers to return.\n- when set to 0, the page length is set to a server configured value (recommended);\n- when set to a value greater than 0, the page length is the minimum of this value and a server configured value;\n- when set to a value less than 0, an invalid parameter error is returned;\n- If not set, all valid providers are returned (not recommended).\n- Note: The number of returned providers might be less than the specified max_results size, even zero.\nThe only definitive indication that no further providers can be fetched is when the next_page_token is unset from the response."},"page_token":{"type":"string","description":"Opaque pagination token to go to next page based on previous query."}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_unity_catalog_providers","parameters":{"data":{"type":"object","required":["name","authentication_type"],"properties":{"authentication_type":{"$ref":"#/components/schemas/sharing.AuthenticationType","x-databricks-package-name":"sharing","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.ProviderInfo.authentication_type","x-databricks-sdk-name":"AuthenticationType","x-databricks-legacy-name":"AuthenticationType","x-databricks-stable-name":"AuthenticationType"},"comment":{"description":"Description about the provider.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.ProviderInfo.comment"},"name":{"description":"The name of the Provider.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.ProviderInfo.name"},"recipient_profile_str":{"description":"This field is required when the __authentication_type__ is **TOKEN**, **OAUTH_CLIENT_CREDENTIALS** or not provided.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.ProviderInfo.recipient_profile_str"}},"x-databricks-package-name":"sharing","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"CreateProvider","x-databricks-legacy-name":"CreateProvider","x-databricks-stable-name":"CreateProvider"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_providers_by_name","parameters":{"name":{"type":"string","description":"Name of the provider."}}},{"connectionName":"databricks-workspace","actionName":"patch_api_2.1_unity_catalog_providers_by_name","parameters":{"name":{"type":"string","description":"Name of the provider."},"data":{"type":"object","properties":{"comment":{"description":"Description about the provider.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.ProviderInfo.comment"},"new_name":{"description":"New name for the provider.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.UpdateProvider.new_name"},"owner":{"description":"Username of Provider owner.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.ProviderInfo.owner"},"recipient_profile_str":{"description":"This field is required when the __authentication_type__ is **TOKEN**, **OAUTH_CLIENT_CREDENTIALS** or not provided.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.ProviderInfo.recipient_profile_str"}},"x-databricks-package-name":"sharing","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"UpdateProvider","x-databricks-legacy-name":"UpdateProvider","x-databricks-stable-name":"UpdateProvider"}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.1_unity_catalog_providers_by_name","parameters":{"name":{"type":"string","description":"Name of the provider."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_providers_by_name_shares","parameters":{"name":{"type":"string","description":"Name of the provider in which to list shares."},"max_results":{"type":"integer","description":"Maximum number of shares to return.\n- when set to 0, the page length is set to a server configured value (recommended);\n- when set to a value greater than 0, the page length is the minimum of this value and a server configured value;\n- when set to a value less than 0, an invalid parameter error is returned;\n- If not set, all valid shares are returned (not recommended).\n- Note: The number of returned shares might be less than the specified max_results size, even zero.\nThe only definitive indication that no further shares can be fetched is when the next_page_token is unset from the response."},"page_token":{"type":"string","description":"Opaque pagination token to go to next page based on previous query."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_public_data_sharing_activation_by_activation_url","parameters":{"activation_url":{"type":"string","description":"The one time activation url. It also accepts activation token."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_public_data_sharing_activation_info_by_activation_url","parameters":{"activation_url":{"type":"string","description":"The one time activation url. It also accepts activation token."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_recipients","parameters":{"data_recipient_global_metastore_id":{"type":"string","description":"If not provided, all recipients will be returned.\nIf no recipients exist with this ID, no results will be returned."},"max_results":{"type":"integer","description":"Maximum number of recipients to return.\n- when set to 0, the page length is set to a server configured value (recommended);\n- when set to a value greater than 0, the page length is the minimum of this value and a server configured value;\n- when set to a value less than 0, an invalid parameter error is returned;\n- If not set, all valid recipients are returned (not recommended).\n- Note: The number of returned recipients might be less than the specified max_results size, even zero.\nThe only definitive indication that no further recipients can be fetched is when the next_page_token is unset from the response."},"page_token":{"type":"string","description":"Opaque pagination token to go to next page based on previous query."}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_unity_catalog_recipients","parameters":{"data":{"type":"object","required":["name","authentication_type"],"properties":{"authentication_type":{"$ref":"#/components/schemas/sharing.AuthenticationType","x-databricks-package-name":"sharing","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.RecipientInfo.authentication_type","x-databricks-sdk-name":"AuthenticationType","x-databricks-legacy-name":"AuthenticationType","x-databricks-stable-name":"AuthenticationType"},"comment":{"description":"Description about the recipient.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.RecipientInfo.comment"},"data_recipient_global_metastore_id":{"description":"The global Unity Catalog metastore id provided by the data recipient.\nThis field is only present when the __authentication_type__ is **DATABRICKS**.\nThe identifier is of format __cloud__:__region__:__metastore-uuid__.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.RecipientInfo.data_recipient_global_metastore_id"},"expiration_time":{"description":"Expiration timestamp of the token, in epoch milliseconds.","type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.RecipientInfo.expiration_time"},"ip_access_list":{"description":"IP Access List","$ref":"#/components/schemas/sharing.IpAccessList","x-databricks-package-name":"sharing","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.RecipientInfo.ip_access_list","x-databricks-sdk-name":"IpAccessList","x-databricks-legacy-name":"IpAccessList","x-databricks-stable-name":"IpAccessList"},"name":{"description":"Name of Recipient.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.RecipientInfo.name"},"owner":{"description":"Username of the recipient owner.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.RecipientInfo.owner"},"properties_kvpairs":{"description":"Recipient properties as map of string key-value pairs.\nWhen provided in update request, the specified properties will override the existing\nproperties. To add and remove properties, one would need to perform a read-modify-write.","$ref":"#/components/schemas/sharing.SecurablePropertiesKVPairs","x-databricks-package-name":"sharing","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.RecipientInfo.properties_kvpairs","x-databricks-sdk-name":"SecurablePropertiesKVPairs","x-databricks-legacy-name":"SecurablePropertiesKVPairs","x-databricks-stable-name":"SecurablePropertiesKVPairs"},"sharing_code":{"description":"The one-time sharing code provided by the data recipient. This field is only present when the __authentication_type__ is **DATABRICKS**.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.RecipientInfo.sharing_code"}},"x-databricks-package-name":"sharing","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"CreateRecipient","x-databricks-legacy-name":"CreateRecipient","x-databricks-stable-name":"CreateRecipient"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_recipients_by_name","parameters":{"name":{"type":"string","description":"Name of the recipient."}}},{"connectionName":"databricks-workspace","actionName":"patch_api_2.1_unity_catalog_recipients_by_name","parameters":{"name":{"type":"string","description":"Name of the recipient."},"data":{"type":"object","properties":{"comment":{"description":"Description about the recipient.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.RecipientInfo.comment"},"expiration_time":{"description":"Expiration timestamp of the token, in epoch milliseconds.","type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.RecipientInfo.expiration_time"},"ip_access_list":{"description":"IP Access List","$ref":"#/components/schemas/sharing.IpAccessList","x-databricks-package-name":"sharing","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.RecipientInfo.ip_access_list","x-databricks-sdk-name":"IpAccessList","x-databricks-legacy-name":"IpAccessList","x-databricks-stable-name":"IpAccessList"},"new_name":{"description":"New name for the recipient.\n.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.UpdateRecipient.new_name"},"owner":{"description":"Username of the recipient owner.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.RecipientInfo.owner"},"properties_kvpairs":{"description":"Recipient properties as map of string key-value pairs.\nWhen provided in update request, the specified properties will override the existing\nproperties. To add and remove properties, one would need to perform a read-modify-write.","$ref":"#/components/schemas/sharing.SecurablePropertiesKVPairs","x-databricks-package-name":"sharing","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.RecipientInfo.properties_kvpairs","x-databricks-sdk-name":"SecurablePropertiesKVPairs","x-databricks-legacy-name":"SecurablePropertiesKVPairs","x-databricks-stable-name":"SecurablePropertiesKVPairs"}},"x-databricks-package-name":"sharing","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"UpdateRecipient","x-databricks-legacy-name":"UpdateRecipient","x-databricks-stable-name":"UpdateRecipient"}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.1_unity_catalog_recipients_by_name","parameters":{"name":{"type":"string","description":"Name of the recipient."}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_unity_catalog_recipients_by_name_rotate_token","parameters":{"name":{"type":"string","description":"The name of the Recipient."},"data":{"type":"object","required":["existing_token_expire_in_seconds"],"properties":{"existing_token_expire_in_seconds":{"description":"The expiration time of the bearer token in ISO 8601 format. This will set the expiration_time\nof existing token only to a smaller timestamp, it cannot extend the expiration_time. Use 0 to\nexpire the existing token immediately, negative number will return an error.","type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.RotateRecipientToken.existing_token_expire_in_seconds"}},"x-databricks-package-name":"sharing","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"RotateRecipientToken","x-databricks-legacy-name":"RotateRecipientToken","x-databricks-stable-name":"RotateRecipientToken"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_recipients_by_name_share_permissions","parameters":{"name":{"type":"string","description":"The name of the Recipient."},"max_results":{"type":"integer","description":"Maximum number of permissions to return.\n- when set to 0, the page length is set to a server configured value (recommended);\n- when set to a value greater than 0, the page length is the minimum of this value and a server configured value;\n- when set to a value less than 0, an invalid parameter error is returned;\n- If not set, all valid permissions are returned (not recommended).\n- Note: The number of returned permissions might be less than the specified max_results size, even zero.\nThe only definitive indication that no further permissions can be fetched is when the next_page_token is unset from the response."},"page_token":{"type":"string","description":"Opaque pagination token to go to next page based on previous query."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_resource_quotas_all_resource_quotas","parameters":{"max_results":{"type":"integer","description":"The number of quotas to return."},"page_token":{"type":"string","description":"Opaque token for the next page of results."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_resource_quotas_by_parent_securable_type_by_parent_full_name_by_quota_name","parameters":{"parent_securable_type":{"type":"string","description":"Securable type of the quota parent."},"parent_full_name":{"type":"string","description":"Full name of the parent resource. Provide the metastore ID if the parent is a metastore."},"quota_name":{"type":"string","description":"Name of the quota. Follows the pattern of the quota type, with \"-quota\" added as a suffix."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_schemas","parameters":{"catalog_name":{"type":"string","description":"Parent catalog for schemas of interest."},"max_results":{"type":"integer","description":"Maximum number of schemas to return.\nIf not set, all the schemas are returned (not recommended).\n- when set to a value greater than 0, the page length is the minimum of this value and a server configured value;\n- when set to 0, the page length is set to a server configured value (recommended);\n- when set to a value less than 0, an invalid parameter error is returned;"},"page_token":{"type":"string","description":"Opaque pagination token to go to next page based on previous query."},"include_browse":{"type":"boolean","description":"Whether to include schemas in the response for which the principal can only access selective metadata for"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_unity_catalog_schemas","parameters":{"data":{"type":"object","required":["name","catalog_name"],"properties":{"catalog_name":{"description":"Name of parent catalog.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.SchemaInfo.catalog_name"},"comment":{"description":"User-provided free-form text description.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.SchemaInfo.comment"},"name":{"description":"Name of schema, relative to parent catalog.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.SchemaInfo.name"},"properties":{"description":"A map of key-value properties attached to the securable.","type":"object","additionalProperties":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.StringKeyValuePair.value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PropertiesKVPairs.properties"},"storage_root":{"description":"Storage root URL for managed tables within schema.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.SchemaInfo.storage_root"}},"x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"CreateSchema","x-databricks-legacy-name":"CreateSchema","x-databricks-stable-name":"CreateSchema"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_schemas_by_full_name","parameters":{"full_name":{"type":"string","description":"Full name of the schema."},"include_browse":{"type":"boolean","description":"Whether to include schemas in the response for which the principal can only access selective metadata for"}}},{"connectionName":"databricks-workspace","actionName":"patch_api_2.1_unity_catalog_schemas_by_full_name","parameters":{"full_name":{"type":"string","description":"Full name of the schema."},"data":{"type":"object","properties":{"comment":{"description":"User-provided free-form text description.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.SchemaInfo.comment"},"enable_predictive_optimization":{"description":"Whether predictive optimization should be enabled for this object and objects under it.","$ref":"#/components/schemas/catalog.EnablePredictiveOptimization","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.SchemaInfo.enable_predictive_optimization","x-databricks-sdk-name":"EnablePredictiveOptimization","x-databricks-legacy-name":"EnablePredictiveOptimization","x-databricks-stable-name":"EnablePredictiveOptimization"},"new_name":{"description":"New name for the schema.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.UpdateSchema.new_name"},"owner":{"description":"Username of current owner of schema.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.SchemaInfo.owner"},"properties":{"description":"A map of key-value properties attached to the securable.","type":"object","additionalProperties":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.StringKeyValuePair.value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PropertiesKVPairs.properties"}},"x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"UpdateSchema","x-databricks-legacy-name":"UpdateSchema","x-databricks-stable-name":"UpdateSchema"}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.1_unity_catalog_schemas_by_full_name","parameters":{"full_name":{"type":"string","description":"Full name of the schema."},"force":{"type":"boolean","description":"Force deletion even if the schema is not empty."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_shares","parameters":{"max_results":{"type":"integer","description":"Maximum number of shares to return.\n- when set to 0, the page length is set to a server configured value (recommended);\n- when set to a value greater than 0, the page length is the minimum of this value and a server configured value;\n- when set to a value less than 0, an invalid parameter error is returned;\n- If not set, all valid shares are returned (not recommended).\n- Note: The number of returned shares might be less than the specified max_results size, even zero.\nThe only definitive indication that no further shares can be fetched is when the next_page_token is unset from the response."},"page_token":{"type":"string","description":"Opaque pagination token to go to next page based on previous query."}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_unity_catalog_shares","parameters":{"data":{"type":"object","required":["name"],"properties":{"comment":{"description":"User-provided free-form text description.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.ShareInfo.comment"},"name":{"description":"Name of the share.","type":"string","x-databricks-api-version":"legacy","x-databricks-name":true,"x-databricks-schema-id":"managedcatalog.ShareInfo.name"},"storage_root":{"description":"Storage root URL for the share.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.ShareInfo.storage_root"}},"x-databricks-package-name":"sharing","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"CreateShare","x-databricks-legacy-name":"CreateShare","x-databricks-stable-name":"CreateShare"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_shares_by_name","parameters":{"name":{"type":"string","description":"The name of the share."},"include_shared_data":{"type":"boolean","description":"Query for data to include in the share."}}},{"connectionName":"databricks-workspace","actionName":"patch_api_2.1_unity_catalog_shares_by_name","parameters":{"name":{"type":"string","description":"The name of the share."},"data":{"type":"object","properties":{"comment":{"description":"User-provided free-form text description.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.ShareInfo.comment"},"new_name":{"description":"New name for the share.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.UpdateShare.new_name"},"owner":{"description":"Username of current owner of share.","type":"string","x-databricks-terraform":{"isServiceProposedIfEmpty":true},"x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.ShareInfo.owner"},"storage_root":{"description":"Storage root URL for the share.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.ShareInfo.storage_root"},"updates":{"description":"Array of shared data object updates.","type":"array","items":{"$ref":"#/components/schemas/sharing.SharedDataObjectUpdate","x-databricks-package-name":"sharing","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.UpdateShare.updates.array_value","x-databricks-sdk-name":"SharedDataObjectUpdate","x-databricks-legacy-name":"SharedDataObjectUpdate","x-databricks-stable-name":"SharedDataObjectUpdate"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.UpdateShare.updates"}},"x-databricks-package-name":"sharing","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"UpdateShare","x-databricks-legacy-name":"UpdateShare","x-databricks-stable-name":"UpdateShare"}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.1_unity_catalog_shares_by_name","parameters":{"name":{"type":"string","description":"The name of the share."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_shares_by_name_permissions","parameters":{"name":{"type":"string","description":"The name of the share."},"max_results":{"type":"integer","description":"Maximum number of permissions to return.\n- when set to 0, the page length is set to a server configured value (recommended);\n- when set to a value greater than 0, the page length is the minimum of this value and a server configured value;\n- when set to a value less than 0, an invalid parameter error is returned;\n- If not set, all valid permissions are returned (not recommended).\n- Note: The number of returned permissions might be less than the specified max_results size, even zero.\nThe only definitive indication that no further permissions can be fetched is when the next_page_token is unset from the response."},"page_token":{"type":"string","description":"Opaque pagination token to go to next page based on previous query."}}},{"connectionName":"databricks-workspace","actionName":"patch_api_2.1_unity_catalog_shares_by_name_permissions","parameters":{"name":{"type":"string","description":"The name of the share."},"data":{"type":"object","properties":{"changes":{"description":"Array of permissions change objects.","type":"array","items":{"$ref":"#/components/schemas/sharing.PermissionsChange","x-databricks-package-name":"sharing","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PermissionsDiff.changes.array_value","x-databricks-sdk-name":"PermissionsChange","x-databricks-legacy-name":"PermissionsChange","x-databricks-stable-name":"PermissionsChange"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PermissionsDiff.changes"},"omit_permissions_list":{"description":"Optional. Whether to return the latest permissions list of the share in the response.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.UpdateSharePermissions.omit_permissions_list"}},"x-databricks-package-name":"sharing","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"UpdateSharePermissions","x-databricks-legacy-name":"UpdateSharePermissions","x-databricks-stable-name":"UpdateSharePermissions"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_storage_credentials","parameters":{"max_results":{"type":"integer","description":"Maximum number of storage credentials to return.\nIf not set, all the storage credentials are returned (not recommended).\n- when set to a value greater than 0, the page length is the minimum of\nthis value and a server configured value;\n- when set to 0, the page length is set to a server configured value\n(recommended);\n- when set to a value less than 0, an invalid parameter error is returned;"},"page_token":{"type":"string","description":"Opaque pagination token to go to next page based on previous query."}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_unity_catalog_storage_credentials","parameters":{"data":{"type":"object","required":["name"],"properties":{"aws_iam_role":{"description":"The AWS IAM role configuration.","$ref":"#/components/schemas/catalog.AwsIamRoleRequest","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-cloud":"aws","x-databricks-schema-id":"managedcatalog.StorageCredentialInfo.aws_iam_role","x-databricks-sdk-name":"AwsIamRoleRequest","x-databricks-legacy-name":"AwsIamRoleRequest","x-databricks-stable-name":"AwsIamRoleRequest"},"comment":{"description":"Comment associated with the credential.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.StorageCredentialInfo.comment"},"name":{"description":"The credential name. The name must be unique among storage and service\ncredentials within the metastore.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.StorageCredentialInfo.name"},"read_only":{"description":"Whether the credential is usable only for read operations. Only applicable\nwhen purpose is **STORAGE**.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.StorageCredentialInfo.read_only"},"skip_validation":{"description":"Supplying true to this argument skips validation of the created credential.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.CreateStorageCredential.skip_validation","default":false}},"x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"CreateStorageCredential","x-databricks-legacy-name":"CreateStorageCredential","x-databricks-stable-name":"CreateStorageCredential"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_storage_credentials_by_name","parameters":{"name":{"type":"string","description":"Name of the storage credential."}}},{"connectionName":"databricks-workspace","actionName":"patch_api_2.1_unity_catalog_storage_credentials_by_name","parameters":{"name":{"type":"string","description":"Name of the storage credential."},"data":{"type":"object","properties":{"aws_iam_role":{"description":"The AWS IAM role configuration.","$ref":"#/components/schemas/catalog.AwsIamRoleRequest","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-cloud":"aws","x-databricks-schema-id":"managedcatalog.StorageCredentialInfo.aws_iam_role","x-databricks-sdk-name":"AwsIamRoleRequest","x-databricks-legacy-name":"AwsIamRoleRequest","x-databricks-stable-name":"AwsIamRoleRequest"},"comment":{"description":"Comment associated with the credential.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.StorageCredentialInfo.comment"},"force":{"description":"Force update even if there are dependent external locations or external\ntables.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.UpdateStorageCredential.force"},"isolation_mode":{"description":"Whether the current securable is accessible from all workspaces or a\nspecific set of workspaces.","$ref":"#/components/schemas/catalog.IsolationMode","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.StorageCredentialInfo.isolation_mode","x-databricks-sdk-name":"IsolationMode","x-databricks-legacy-name":"IsolationMode","x-databricks-stable-name":"IsolationMode"},"new_name":{"description":"New name for the storage credential.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.UpdateStorageCredential.new_name"},"owner":{"description":"Username of current owner of credential.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.StorageCredentialInfo.owner"},"read_only":{"description":"Whether the credential is usable only for read operations. Only applicable\nwhen purpose is **STORAGE**.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.StorageCredentialInfo.read_only"},"skip_validation":{"description":"Supplying true to this argument skips validation of the updated credential.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.UpdateStorageCredential.skip_validation","default":false}},"x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"UpdateStorageCredential","x-databricks-legacy-name":"UpdateStorageCredential","x-databricks-stable-name":"UpdateStorageCredential"}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.1_unity_catalog_storage_credentials_by_name","parameters":{"name":{"type":"string","description":"Name of the storage credential."},"force":{"type":"boolean","description":"Force an update even if there are dependent external locations or external\ntables (when purpose is **STORAGE**) or dependent services (when purpose is\n**SERVICE**)."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_table_summaries","parameters":{"catalog_name":{"type":"string","description":"Name of parent catalog for tables of interest."},"schema_name_pattern":{"type":"string","description":"A sql LIKE pattern (% and _) for schema names.\nAll schemas will be returned if not set or empty."},"table_name_pattern":{"type":"string","description":"A sql LIKE pattern (% and _) for table names.\nAll tables will be returned if not set or empty."},"max_results":{"type":"integer","description":"Maximum number of summaries for tables to return.\nIf not set, the page length is set to a server configured value (10000, as of 1/5/2024).\n- when set to a value greater than 0, the page length is the minimum of this value and a server configured value (10000, as of 1/5/2024);\n- when set to 0, the page length is set to a server configured value (10000, as of 1/5/2024) (recommended);\n- when set to a value less than 0, an invalid parameter error is returned;"},"page_token":{"type":"string","description":"Opaque pagination token to go to next page based on previous query."},"include_manifest_capabilities":{"type":"boolean","description":"Whether to include a manifest containing table capabilities in the response."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_tables","parameters":{"catalog_name":{"type":"string","description":"Name of parent catalog for tables of interest."},"schema_name":{"type":"string","description":"Parent schema of tables."},"max_results":{"type":"integer","description":"Maximum number of tables to return.\nIf not set, all the tables are returned (not recommended).\n- when set to a value greater than 0, the page length is the minimum of this value and a server configured value;\n- when set to 0, the page length is set to a server configured value (recommended);\n- when set to a value less than 0, an invalid parameter error is returned;"},"page_token":{"type":"string","description":"Opaque token to send for the next page of results (pagination)."},"omit_columns":{"type":"boolean","description":"Whether to omit the columns of the table from the response or not."},"omit_properties":{"type":"boolean","description":"Whether to omit the properties of the table from the response or not."},"omit_username":{"type":"boolean","description":"Whether to omit the username of the table (e.g. owner, updated_by, created_by) from the response or not."},"include_browse":{"type":"boolean","description":"Whether to include tables in the response for which the principal can only access selective metadata for."},"include_manifest_capabilities":{"type":"boolean","description":"Whether to include a manifest containing table capabilities in the response."}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_unity_catalog_tables","parameters":{"data":{"type":"object","required":["name","catalog_name","schema_name","table_type","data_source_format","storage_location"],"properties":{"catalog_name":{"description":"Name of parent catalog.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.TableInfo.catalog_name"},"columns":{"description":"The array of __ColumnInfo__ definitions of the table's columns.","type":"array","items":{"$ref":"#/components/schemas/catalog.ColumnInfo","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.ColumnInfos.columns.array_value","x-databricks-sdk-name":"ColumnInfo","x-databricks-legacy-name":"ColumnInfo","x-databricks-stable-name":"ColumnInfo"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.ColumnInfos.columns"},"data_source_format":{"$ref":"#/components/schemas/catalog.DataSourceFormat","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.TableInfo.data_source_format","x-databricks-sdk-name":"DataSourceFormat","x-databricks-legacy-name":"DataSourceFormat","x-databricks-stable-name":"DataSourceFormat"},"name":{"description":"Name of table, relative to parent schema.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.TableInfo.name"},"properties":{"description":"A map of key-value properties attached to the securable.","type":"object","additionalProperties":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.StringKeyValuePair.value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.PropertiesKVPairs.properties"},"schema_name":{"description":"Name of parent schema relative to its parent catalog.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.TableInfo.schema_name"},"storage_location":{"description":"Storage root URL for table (for **MANAGED**, **EXTERNAL** tables).","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.TableInfo.storage_location"},"table_type":{"$ref":"#/components/schemas/catalog.TableType","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.TableInfo.table_type","x-databricks-sdk-name":"TableType","x-databricks-legacy-name":"TableType","x-databricks-stable-name":"TableType"}},"x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"createTableRequest","x-databricks-legacy-name":"createTableRequest","x-databricks-stable-name":"createTableRequest"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_tables_by_full_name","parameters":{"full_name":{"type":"string","description":"Full name of the table."},"include_delta_metadata":{"type":"boolean","description":"Whether delta metadata should be included in the response."},"include_browse":{"type":"boolean","description":"Whether to include tables in the response for which the principal can only access selective metadata for."},"include_manifest_capabilities":{"type":"boolean","description":"Whether to include a manifest containing table capabilities in the response."}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.1_unity_catalog_tables_by_full_name","parameters":{"full_name":{"type":"string","description":"Full name of the table."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_tables_by_full_name_exists","parameters":{"full_name":{"type":"string","description":"Full name of the table."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_tables_by_table_name_monitor","parameters":{"table_name":{"type":"string","description":"UC table name in format `catalog.schema.table_name`.\nThis field corresponds to the {full_table_name_arg} arg in the endpoint path."}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_unity_catalog_tables_by_table_name_monitor","parameters":{"table_name":{"type":"string","description":"UC table name in format `catalog.schema.table_name`.\nThis field corresponds to the {full_table_name_arg} arg in the endpoint path."},"data":{"type":"object","required":["output_schema_name","assets_dir"],"properties":{"assets_dir":{"description":"[Create:REQ Update:IGN] Field for specifying the absolute path to a custom directory to store data-monitoring\nassets. Normally prepopulated to a default user location via UI and Python APIs.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"datamonitoring.DataMonitorInfo.assets_dir"},"baseline_table_name":{"description":"[Create:OPT Update:OPT] Baseline table name.\nBaseline data is used to compute drift from the data in the monitored `table_name`.\nThe baseline table and the monitored table shall have the same schema.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"datamonitoring.DataMonitorInfo.baseline_table_name"},"custom_metrics":{"description":"[Create:OPT Update:OPT] Custom metrics.","type":"array","items":{"$ref":"#/components/schemas/catalog.MonitorMetric","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-schema-id":"datamonitoring.DataMonitorInfo.custom_metrics.array_value","x-databricks-sdk-name":"MonitorMetric","x-databricks-legacy-name":"MonitorMetric","x-databricks-stable-name":"MonitorMetric"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"datamonitoring.DataMonitorInfo.custom_metrics"},"inference_log":{"$ref":"#/components/schemas/catalog.MonitorInferenceLog","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-schema-id":"datamonitoring.DataMonitorInfo.inference_log","x-databricks-sdk-name":"MonitorInferenceLog","x-databricks-legacy-name":"MonitorInferenceLog","x-databricks-stable-name":"MonitorInferenceLog"},"latest_monitor_failure_msg":{"description":"[Create:ERR Update:IGN] The latest error message for a monitor failure.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"datamonitoring.DataMonitorInfo.latest_monitor_failure_msg"},"notifications":{"description":"[Create:OPT Update:OPT] Field for specifying notification settings.","$ref":"#/components/schemas/catalog.MonitorNotifications","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-schema-id":"datamonitoring.DataMonitorInfo.notifications","x-databricks-sdk-name":"MonitorNotifications","x-databricks-legacy-name":"MonitorNotifications","x-databricks-stable-name":"MonitorNotifications"},"output_schema_name":{"description":"[Create:REQ Update:REQ] Schema where output tables are created. Needs to be in 2-level format {catalog}.{schema}","type":"string","x-databricks-field-behaviors":["REQUIRED"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"datamonitoring.DataMonitorInfo.output_schema_name"},"schedule":{"description":"[Create:OPT Update:OPT] The monitor schedule.","$ref":"#/components/schemas/catalog.MonitorCronSchedule","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-schema-id":"datamonitoring.DataMonitorInfo.schedule","x-databricks-sdk-name":"MonitorCronSchedule","x-databricks-legacy-name":"MonitorCronSchedule","x-databricks-stable-name":"MonitorCronSchedule"},"skip_builtin_dashboard":{"description":"Whether to skip creating a default dashboard summarizing data quality metrics.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"datamonitoring.CreateMonitor.skip_builtin_dashboard"},"slicing_exprs":{"description":"[Create:OPT Update:OPT] List of column expressions to slice data with for targeted analysis. The data is grouped by\neach expression independently, resulting in a separate slice for each predicate and its\ncomplements. For example `slicing_exprs=[“col_1”, “col_2 > 10”]` will generate the following\nslices: two slices for `col_2 > 10` (True and False), and one slice per unique value in\n`col1`. For high-cardinality columns, only the top 100 unique values by frequency will\ngenerate slices.","type":"array","items":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"datamonitoring.DataMonitorInfo.slicing_exprs.array_value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"datamonitoring.DataMonitorInfo.slicing_exprs"},"snapshot":{"description":"Configuration for monitoring snapshot tables.","$ref":"#/components/schemas/catalog.MonitorSnapshot","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-schema-id":"datamonitoring.DataMonitorInfo.snapshot","x-databricks-sdk-name":"MonitorSnapshot","x-databricks-legacy-name":"MonitorSnapshot","x-databricks-stable-name":"MonitorSnapshot"},"time_series":{"description":"Configuration for monitoring time series tables.","$ref":"#/components/schemas/catalog.MonitorTimeSeries","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-schema-id":"datamonitoring.DataMonitorInfo.time_series","x-databricks-sdk-name":"MonitorTimeSeries","x-databricks-legacy-name":"MonitorTimeSeries","x-databricks-stable-name":"MonitorTimeSeries"},"warehouse_id":{"description":"Optional argument to specify the warehouse for dashboard creation. If not specified, the first running\nwarehouse will be used.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"datamonitoring.CreateMonitor.warehouse_id"}},"x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"CreateMonitor","x-databricks-legacy-name":"CreateMonitor","x-databricks-stable-name":"CreateMonitor"}}},{"connectionName":"databricks-workspace","actionName":"put_api_2.1_unity_catalog_tables_by_table_name_monitor","parameters":{"table_name":{"type":"string","description":"UC table name in format `catalog.schema.table_name`.\nThis field corresponds to the {full_table_name_arg} arg in the endpoint path."},"data":{"type":"object","required":["output_schema_name"],"properties":{"baseline_table_name":{"description":"[Create:OPT Update:OPT] Baseline table name.\nBaseline data is used to compute drift from the data in the monitored `table_name`.\nThe baseline table and the monitored table shall have the same schema.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"datamonitoring.DataMonitorInfo.baseline_table_name"},"custom_metrics":{"description":"[Create:OPT Update:OPT] Custom metrics.","type":"array","items":{"$ref":"#/components/schemas/catalog.MonitorMetric","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-schema-id":"datamonitoring.DataMonitorInfo.custom_metrics.array_value","x-databricks-sdk-name":"MonitorMetric","x-databricks-legacy-name":"MonitorMetric","x-databricks-stable-name":"MonitorMetric"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"datamonitoring.DataMonitorInfo.custom_metrics"},"dashboard_id":{"description":"[Create:ERR Update:OPT] Id of dashboard that visualizes the computed metrics.\nThis can be empty if the monitor is in PENDING state.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"datamonitoring.DataMonitorInfo.dashboard_id"},"inference_log":{"$ref":"#/components/schemas/catalog.MonitorInferenceLog","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-schema-id":"datamonitoring.DataMonitorInfo.inference_log","x-databricks-sdk-name":"MonitorInferenceLog","x-databricks-legacy-name":"MonitorInferenceLog","x-databricks-stable-name":"MonitorInferenceLog"},"latest_monitor_failure_msg":{"description":"[Create:ERR Update:IGN] The latest error message for a monitor failure.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"datamonitoring.DataMonitorInfo.latest_monitor_failure_msg"},"notifications":{"description":"[Create:OPT Update:OPT] Field for specifying notification settings.","$ref":"#/components/schemas/catalog.MonitorNotifications","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-schema-id":"datamonitoring.DataMonitorInfo.notifications","x-databricks-sdk-name":"MonitorNotifications","x-databricks-legacy-name":"MonitorNotifications","x-databricks-stable-name":"MonitorNotifications"},"output_schema_name":{"description":"[Create:REQ Update:REQ] Schema where output tables are created. Needs to be in 2-level format {catalog}.{schema}","type":"string","x-databricks-field-behaviors":["REQUIRED"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"datamonitoring.DataMonitorInfo.output_schema_name"},"schedule":{"description":"[Create:OPT Update:OPT] The monitor schedule.","$ref":"#/components/schemas/catalog.MonitorCronSchedule","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-schema-id":"datamonitoring.DataMonitorInfo.schedule","x-databricks-sdk-name":"MonitorCronSchedule","x-databricks-legacy-name":"MonitorCronSchedule","x-databricks-stable-name":"MonitorCronSchedule"},"slicing_exprs":{"description":"[Create:OPT Update:OPT] List of column expressions to slice data with for targeted analysis. The data is grouped by\neach expression independently, resulting in a separate slice for each predicate and its\ncomplements. For example `slicing_exprs=[“col_1”, “col_2 > 10”]` will generate the following\nslices: two slices for `col_2 > 10` (True and False), and one slice per unique value in\n`col1`. For high-cardinality columns, only the top 100 unique values by frequency will\ngenerate slices.","type":"array","items":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"datamonitoring.DataMonitorInfo.slicing_exprs.array_value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"datamonitoring.DataMonitorInfo.slicing_exprs"},"snapshot":{"description":"Configuration for monitoring snapshot tables.","$ref":"#/components/schemas/catalog.MonitorSnapshot","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-schema-id":"datamonitoring.DataMonitorInfo.snapshot","x-databricks-sdk-name":"MonitorSnapshot","x-databricks-legacy-name":"MonitorSnapshot","x-databricks-stable-name":"MonitorSnapshot"},"time_series":{"description":"Configuration for monitoring time series tables.","$ref":"#/components/schemas/catalog.MonitorTimeSeries","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-schema-id":"datamonitoring.DataMonitorInfo.time_series","x-databricks-sdk-name":"MonitorTimeSeries","x-databricks-legacy-name":"MonitorTimeSeries","x-databricks-stable-name":"MonitorTimeSeries"}},"x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"UpdateMonitor","x-databricks-legacy-name":"UpdateMonitor","x-databricks-stable-name":"UpdateMonitor"}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.1_unity_catalog_tables_by_table_name_monitor","parameters":{"table_name":{"type":"string","description":"UC table name in format `catalog.schema.table_name`.\nThis field corresponds to the {full_table_name_arg} arg in the endpoint path."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_tables_by_table_name_monitor_refreshes","parameters":{"table_name":{"type":"string","description":"UC table name in format `catalog.schema.table_name`.\ntable_name is case insensitive and spaces are disallowed."}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_unity_catalog_tables_by_table_name_monitor_refreshes","parameters":{"table_name":{"type":"string","description":"UC table name in format `catalog.schema.table_name`.\ntable_name is case insensitive and spaces are disallowed."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_tables_by_table_name_monitor_refreshes_by_refresh_id","parameters":{"table_name":{"type":"string","description":"Full name of the table."},"refresh_id":{"type":"integer","description":"ID of the refresh."}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_unity_catalog_temporary_service_credentials","parameters":{"data":{"type":"object","required":["credential_name"],"properties":{"credential_name":{"description":"The name of the service credential used to generate a temporary credential","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.GenerateTemporaryServiceCredential.credential_name"}},"x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"GenerateTemporaryServiceCredentialRequest","x-databricks-legacy-name":"GenerateTemporaryServiceCredentialRequest","x-databricks-stable-name":"GenerateTemporaryServiceCredentialRequest"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_unity_catalog_validate_credentials","parameters":{"data":{"description":"Next ID: 17","type":"object","properties":{"aws_iam_role":{"$ref":"#/components/schemas/catalog.AwsIamRole","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-cloud":"aws","x-databricks-schema-id":"managedcatalog.ValidateCredential.aws_iam_role","x-databricks-sdk-name":"AwsIamRole","x-databricks-legacy-name":"AwsIamRole","x-databricks-stable-name":"AwsIamRole"},"credential_name":{"description":"Required. The name of an existing credential or long-lived cloud\ncredential to validate.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.ValidateCredential.credential_name"},"external_location_name":{"description":"The name of an existing external location to validate. Only applicable for\nstorage credentials (purpose is\n**STORAGE**.)","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.ValidateCredential.external_location_name"},"purpose":{"description":"The purpose of the credential. This should only be used when the credential\nis specified.","$ref":"#/components/schemas/catalog.CredentialPurpose","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.ValidateCredential.purpose","x-databricks-sdk-name":"CredentialPurpose","x-databricks-legacy-name":"CredentialPurpose","x-databricks-stable-name":"CredentialPurpose"},"read_only":{"description":"Whether the credential is only usable for read operations. Only applicable\nfor storage credentials (purpose is\n**STORAGE**.)","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.ValidateCredential.read_only"},"url":{"description":"The external location url to validate. Only applicable when purpose is\n**STORAGE**.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.ValidateCredential.url"}},"x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"ValidateCredentialRequest","x-databricks-legacy-name":"ValidateCredentialRequest","x-databricks-stable-name":"ValidateCredentialRequest"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_unity_catalog_validate_storage_credentials","parameters":{"data":{"type":"object","properties":{"aws_iam_role":{"description":"The AWS IAM role configuration.","$ref":"#/components/schemas/catalog.AwsIamRoleRequest","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-cloud":"aws","x-databricks-schema-id":"managedcatalog.ValidateStorageCredential.aws_iam_role","x-databricks-sdk-name":"AwsIamRoleRequest","x-databricks-legacy-name":"AwsIamRoleRequest","x-databricks-stable-name":"AwsIamRoleRequest"},"external_location_name":{"description":"The name of an existing external location to validate.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.ValidateStorageCredential.external_location_name"},"read_only":{"description":"Whether the storage credential is only usable for read operations.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.ValidateStorageCredential.read_only"},"storage_credential_name":{"description":"Required. The name of an existing credential or long-lived cloud\ncredential to validate.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.ValidateStorageCredential.storage_credential_name"},"url":{"description":"The external location url to validate.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.ValidateStorageCredential.url"}},"x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"ValidateStorageCredential","x-databricks-legacy-name":"ValidateStorageCredential","x-databricks-stable-name":"ValidateStorageCredential"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_volumes","parameters":{"catalog_name":{"type":"string","description":"The identifier of the catalog"},"schema_name":{"type":"string","description":"The identifier of the schema"},"max_results":{"type":"integer","description":"Maximum number of volumes to return (page length).\n\nIf not set, the page length is set to a server configured value (10000, as of 1/29/2024).\n- when set to a value greater than 0, the page length is the minimum of this value and a server configured value (10000, as of 1/29/2024);\n- when set to 0, the page length is set to a server configured value (10000, as of 1/29/2024) (recommended);\n- when set to a value less than 0, an invalid parameter error is returned;\n\nNote: this parameter controls only the maximum number of volumes to return. The actual number of volumes returned in a page\nmay be smaller than this value, including 0, even if there are more pages.\n\n"},"page_token":{"type":"string","description":"Opaque token returned by a previous request. It must be included in the request to retrieve the next page of results (pagination)."},"include_browse":{"type":"boolean","description":"Whether to include volumes in the response for which the principal can only access selective metadata for"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.1_unity_catalog_volumes","parameters":{"data":{"type":"object","required":["catalog_name","schema_name","name","volume_type"],"properties":{"catalog_name":{"description":"The name of the catalog where the schema and the volume are","type":"string","x-databricks-api-version":"legacy"},"comment":{"description":"The comment attached to the volume","type":"string","x-databricks-api-version":"legacy","minLength":1,"maxLength":65536},"name":{"description":"The name of the volume","type":"string","x-databricks-api-version":"legacy"},"schema_name":{"description":"The name of the schema where the volume is","type":"string","x-databricks-api-version":"legacy"},"storage_location":{"description":"The storage location on the cloud","type":"string","x-databricks-api-version":"legacy"},"volume_type":{"$ref":"#/components/schemas/catalog.VolumeType","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-sdk-name":"VolumeType","x-databricks-legacy-name":"VolumeType","x-databricks-stable-name":"VolumeType"}},"x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-sdk-name":"CreateVolumeRequestContent","x-databricks-legacy-name":"CreateVolumeRequestContent","x-databricks-stable-name":"CreateVolumeRequestContent"}}},{"connectionName":"databricks-workspace","actionName":"parameters_api_2.1_unity_catalog_volumes_by_name","parameters":{"name":{"type":"string"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_volumes_by_name","parameters":{"name":{"type":"string"},"include_browse":{"type":"boolean","description":"Whether to include volumes in the response for which the principal can only access selective metadata for"}}},{"connectionName":"databricks-workspace","actionName":"patch_api_2.1_unity_catalog_volumes_by_name","parameters":{"name":{"type":"string"},"data":{"type":"object","properties":{"comment":{"description":"The comment attached to the volume","type":"string","x-databricks-api-version":"legacy","minLength":1,"maxLength":65536},"new_name":{"description":"New name for the volume.","type":"string","x-databricks-api-version":"legacy"},"owner":{"description":"The identifier of the user who owns the volume","type":"string","x-databricks-api-version":"legacy"}},"x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-sdk-name":"UpdateVolumeRequestContent","x-databricks-legacy-name":"UpdateVolumeRequestContent","x-databricks-stable-name":"UpdateVolumeRequestContent"}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.1_unity_catalog_volumes_by_name","parameters":{"name":{"type":"string"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.1_unity_catalog_workspace_bindings_catalogs_by_name","parameters":{"name":{"type":"string","description":"The name of the catalog."}}},{"connectionName":"databricks-workspace","actionName":"patch_api_2.1_unity_catalog_workspace_bindings_catalogs_by_name","parameters":{"name":{"type":"string","description":"The name of the catalog."},"data":{"type":"object","properties":{"assign_workspaces":{"description":"A list of workspace IDs.","type":"array","items":{"type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.UpdateCatalogWorkspaceBindings.assign_workspaces.array_value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.UpdateCatalogWorkspaceBindings.assign_workspaces"},"unassign_workspaces":{"description":"A list of workspace IDs.","type":"array","items":{"type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.UpdateCatalogWorkspaceBindings.unassign_workspaces.array_value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.UpdateCatalogWorkspaceBindings.unassign_workspaces"}},"x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"updateWorkspaceBindings","x-databricks-legacy-name":"updateWorkspaceBindings","x-databricks-stable-name":"updateWorkspaceBindings"}}},{"connectionName":"databricks-workspace","actionName":"put_api_2.1_unity_catalog_workspaces_by_workspace_id_metastore","parameters":{"workspace_id":{"type":"integer","description":"A workspace ID."},"data":{"type":"object","required":["metastore_id","default_catalog_name"],"properties":{"default_catalog_name":{"description":"The name of the default catalog in the metastore.\nThis field is deprecated. Please use \"Default Namespace API\" to\nconfigure the default catalog for a Databricks workspace.","type":"string","x-databricks-api-version":"legacy","deprecated":true,"x-databricks-schema-id":"managedcatalog.CreateMetastoreAssignment.default_catalog_name"},"metastore_id":{"description":"The unique ID of the metastore.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.CreateMetastoreAssignment.metastore_id"}},"x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"CreateMetastoreAssignment","x-databricks-legacy-name":"CreateMetastoreAssignment","x-databricks-stable-name":"CreateMetastoreAssignment"}}},{"connectionName":"databricks-workspace","actionName":"patch_api_2.1_unity_catalog_workspaces_by_workspace_id_metastore","parameters":{"workspace_id":{"type":"integer","description":"A workspace ID."},"data":{"type":"object","properties":{"default_catalog_name":{"description":"The name of the default catalog in the metastore.\nThis field is deprecated. Please use \"Default Namespace API\" to\nconfigure the default catalog for a Databricks workspace.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.UpdateMetastoreAssignment.default_catalog_name"},"metastore_id":{"description":"The unique ID of the metastore.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"managedcatalog.UpdateMetastoreAssignment.metastore_id"}},"x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"UpdateMetastoreAssignment","x-databricks-legacy-name":"UpdateMetastoreAssignment","x-databricks-stable-name":"UpdateMetastoreAssignment"}}},{"connectionName":"databricks-workspace","actionName":"delete_api_2.1_unity_catalog_workspaces_by_workspace_id_metastore","parameters":{"workspace_id":{"type":"integer","description":"A workspace ID."},"metastore_id":{"type":"string","description":"Query for the ID of the metastore to delete."}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.2_jobs_create","parameters":{"data":{"type":"object","properties":{"access_control_list":{"description":"List of permissions to set on the job.","type":"array","items":{"$ref":"#/components/schemas/jobs.JobAccessControlRequest","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.CreateJob.access_control_list.array_value","x-databricks-sdk-name":"JobAccessControlRequest","x-databricks-legacy-name":"JobAccessControlRequest","x-databricks-stable-name":"JobAccessControlRequest"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.CreateJob.access_control_list"},"budget_policy_id":{"description":"The id of the user specified budget policy to use for this job.\nIf not specified, a default budget policy may be applied when creating or modifying the job.\nSee `effective_budget_policy_id` for the budget policy used by this workload.","type":"string","format":"uuid","x-databricks-api-version":"legacy","x-databricks-launch-stage":"PUBLIC_PREVIEW","x-databricks-preview":"PUBLIC","x-databricks-schema-id":"jobs.JobSettings.budget_policy_id","example":"550e8400-e29b-41d4-a716-446655440000"},"continuous":{"description":"An optional continuous property for this job. The continuous property will ensure that there is always one run executing. Only one of `schedule` and `continuous` can be used.","$ref":"#/components/schemas/jobs.Continuous","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings.continuous","x-databricks-sdk-name":"Continuous","x-databricks-legacy-name":"Continuous","x-databricks-stable-name":"Continuous"},"deployment":{"description":"Deployment information for jobs managed by external sources.","$ref":"#/components/schemas/jobs.JobDeployment","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings.deployment","x-databricks-sdk-name":"JobDeployment","x-databricks-legacy-name":"JobDeployment","x-databricks-stable-name":"JobDeployment"},"description":{"description":"An optional description for the job. The maximum length is 27700 characters in UTF-8 encoding.","type":"string","x-databricks-api-version":"legacy","maxLength":27700,"x-databricks-schema-id":"jobs.JobSettings.description","example":"This job contain multiple tasks that are required to produce the weekly shark sightings report."},"edit_mode":{"description":"Edit mode of the job.\n\n* `UI_LOCKED`: The job is in a locked UI state and cannot be modified.\n* `EDITABLE`: The job is in an editable state and can be modified.","$ref":"#/components/schemas/jobs.JobEditMode","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings.edit_mode","x-databricks-sdk-name":"JobEditMode","x-databricks-legacy-name":"JobEditMode","x-databricks-stable-name":"JobEditMode"},"email_notifications":{"description":"An optional set of email addresses that is notified when runs of this job begin or complete as well as when this job is deleted.","$ref":"#/components/schemas/jobs.JobEmailNotifications","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings.email_notifications","x-databricks-sdk-name":"JobEmailNotifications","x-databricks-legacy-name":"JobEmailNotifications","x-databricks-stable-name":"JobEmailNotifications","default":{}},"environments":{"description":"A list of task execution environment specifications that can be referenced by serverless tasks of this job.\nAn environment is required to be present for serverless tasks.\nFor serverless notebook tasks, the environment is accessible in the notebook environment panel.\nFor other serverless tasks, the task environment is required to be specified using environment_key in the task settings.","type":"array","items":{"$ref":"#/components/schemas/jobs.JobEnvironment","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings.environments.array_value","x-databricks-sdk-name":"JobEnvironment","x-databricks-legacy-name":"JobEnvironment","x-databricks-stable-name":"JobEnvironment"},"x-databricks-terraform":{"alias":"environment"},"x-databricks-api-version":"legacy","maxItems":10,"x-databricks-launch-stage":"GA","x-databricks-schema-id":"jobs.JobSettings.environments"},"format":{"description":"Used to tell what is the format of the job. This field is ignored in Create/Update/Reset calls. When using the Jobs API 2.1 this value is always set to `\"MULTI_TASK\"`.","$ref":"#/components/schemas/jobs.Format","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","deprecated":true,"x-databricks-schema-id":"jobs.JobSettings.format","x-databricks-sdk-name":"Format","x-databricks-legacy-name":"Format","x-databricks-stable-name":"Format","example":"MULTI_TASK"},"git_source":{"description":"An optional specification for a remote Git repository containing the source code used by tasks. Version-controlled source code is supported by notebook, dbt, Python script, and SQL File tasks.\n\nIf `git_source` is set, these tasks retrieve the file from the remote repository by default. However, this behavior can be overridden by setting `source` to `WORKSPACE` on the task.\n\nNote: dbt and SQL File tasks support only version-controlled sources. If dbt or SQL File tasks are used, `git_source` must be defined on the job.","$ref":"#/components/schemas/jobs.GitSource","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings.git_source","x-databricks-sdk-name":"GitSource","x-databricks-legacy-name":"GitSource","x-databricks-stable-name":"GitSource"},"health":{"$ref":"#/components/schemas/jobs.JobsHealthRules","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings.health","x-databricks-sdk-name":"JobsHealthRules","x-databricks-legacy-name":"JobsHealthRules","x-databricks-stable-name":"JobsHealthRules"},"job_clusters":{"description":"A list of job cluster specifications that can be shared and reused by tasks of this job. Libraries cannot be declared in a shared job cluster. You must declare dependent libraries in task settings.","type":"array","items":{"$ref":"#/components/schemas/jobs.JobCluster","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings.job_clusters.array_value","x-databricks-sdk-name":"JobCluster","x-databricks-legacy-name":"JobCluster","x-databricks-stable-name":"JobCluster"},"x-databricks-terraform":{"alias":"job_cluster"},"x-databricks-api-version":"legacy","maxItems":100,"x-databricks-schema-id":"jobs.JobSettings.job_clusters","example":[{"job_cluster_key":"auto_scaling_cluster","new_cluster":{"autoscale":{"max_workers":16,"min_workers":2},"node_type_id":null,"spark_conf":{"spark.speculation":true},"spark_version":"7.3.x-scala2.12"}}]},"max_concurrent_runs":{"description":"An optional maximum allowed number of concurrent runs of the job.\nSet this value if you want to be able to execute multiple runs of the same job concurrently.\nThis is useful for example if you trigger your job on a frequent schedule and want to allow consecutive runs to overlap with each other, or if you want to trigger multiple runs which differ by their input parameters.\nThis setting affects only new runs. For example, suppose the job’s concurrency is 4 and there are 4 concurrent active runs. Then setting the concurrency to 3 won’t kill any of the active runs.\nHowever, from then on, new runs are skipped unless there are fewer than 3 active runs.\nThis value cannot exceed 1000. Setting this value to `0` causes all new runs to be skipped.","type":"integer","format":"int32","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings.max_concurrent_runs","default":1,"example":10},"name":{"description":"An optional name for the job. The maximum length is 4096 bytes in UTF-8 encoding.","type":"string","x-databricks-api-version":"legacy","maxLength":4096,"x-databricks-schema-id":"jobs.JobSettings.name","default":"Untitled","example":"A multitask job"},"notification_settings":{"description":"Optional notification settings that are used when sending notifications to each of the `email_notifications` and `webhook_notifications` for this job.","$ref":"#/components/schemas/jobs.JobNotificationSettings","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings.notification_settings","x-databricks-sdk-name":"JobNotificationSettings","x-databricks-legacy-name":"JobNotificationSettings","x-databricks-stable-name":"JobNotificationSettings","default":{}},"parameters":{"description":"Job-level parameter definitions","type":"array","items":{"$ref":"#/components/schemas/jobs.JobParameterDefinition","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings.parameters.array_value","x-databricks-sdk-name":"JobParameterDefinition","x-databricks-legacy-name":"JobParameterDefinition","x-databricks-stable-name":"JobParameterDefinition"},"x-databricks-terraform":{"alias":"parameter"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings.parameters"},"performance_target":{"description":"The performance mode on a serverless job. This field determines the level of compute performance or cost-efficiency for the run.\n\n* `STANDARD`: Enables cost-efficient execution of serverless workloads.\n* `PERFORMANCE_OPTIMIZED`: Prioritizes fast startup and execution times through rapid scaling and optimized cluster performance.","$ref":"#/components/schemas/jobs.PerformanceTarget","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings.performance_target","x-databricks-sdk-name":"PerformanceTarget","x-databricks-legacy-name":"PerformanceTarget","x-databricks-stable-name":"PerformanceTarget","default":"PERFORMANCE_OPTIMIZED"},"queue":{"description":"The queue settings of the job.","$ref":"#/components/schemas/jobs.QueueSettings","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings.queue","x-databricks-sdk-name":"QueueSettings","x-databricks-legacy-name":"QueueSettings","x-databricks-stable-name":"QueueSettings"},"run_as":{"description":"The user or service principal that the job runs as, if specified in the request.\nThis field indicates the explicit configuration of `run_as` for the job.\nTo find the value in all cases, explicit or implicit, use `run_as_user_name`.","$ref":"#/components/schemas/jobs.JobRunAs","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings.run_as","x-databricks-sdk-name":"JobRunAs","x-databricks-legacy-name":"JobRunAs","x-databricks-stable-name":"JobRunAs"},"schedule":{"description":"An optional periodic schedule for this job. The default behavior is that the job only runs when triggered by clicking “Run Now” in the Jobs UI or sending an API request to `runNow`.","$ref":"#/components/schemas/jobs.CronSchedule","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings.schedule","x-databricks-sdk-name":"CronSchedule","x-databricks-legacy-name":"CronSchedule","x-databricks-stable-name":"CronSchedule"},"tags":{"description":"A map of tags associated with the job. These are forwarded to the cluster as cluster tags for jobs clusters, and are subject to the same limitations as cluster tags. A maximum of 25 tags can be added to the job.","type":"object","additionalProperties":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobTag.value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings.tags","default":{},"example":{"cost-center":"engineering","team":"jobs"}},"tasks":{"description":"A list of task specifications to be executed by this job.\nIt supports up to 1000 elements in write endpoints (:method:jobs/create, :method:jobs/reset, :method:jobs/update, :method:jobs/submit).\nRead endpoints return only 100 tasks. If more than 100 tasks are available, you can paginate through them using :method:jobs/get. Use the `next_page_token` field at the object root to determine if more results are available.","type":"array","items":{"$ref":"#/components/schemas/jobs.Task","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings.tasks.array_value","x-databricks-sdk-name":"Task","x-databricks-legacy-name":"Task","x-databricks-stable-name":"Task"},"x-databricks-terraform":{"alias":"task"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings.tasks","example":[{"depends_on":[],"description":"Extracts session data from events","existing_cluster_id":"0923-164208-meows279","libraries":[{"jar":"dbfs:/mnt/databricks/Sessionize.jar"}],"max_retries":3,"min_retry_interval_millis":2000,"retry_on_timeout":false,"spark_jar_task":{"main_class_name":"com.databricks.Sessionize","parameters":["--data","dbfs:/path/to/data.json"]},"task_key":"Sessionize","timeout_seconds":86400},{"depends_on":[],"description":"Ingests order data","job_cluster_key":"auto_scaling_cluster","libraries":[{"jar":"dbfs:/mnt/databricks/OrderIngest.jar"}],"max_retries":3,"min_retry_interval_millis":2000,"retry_on_timeout":false,"spark_jar_task":{"main_class_name":"com.databricks.OrdersIngest","parameters":["--data","dbfs:/path/to/order-data.json"]},"task_key":"Orders_Ingest","timeout_seconds":86400},{"depends_on":[{"task_key":"Orders_Ingest"},{"task_key":"Sessionize"}],"description":"Matches orders with user sessions","max_retries":3,"min_retry_interval_millis":2000,"new_cluster":{"autoscale":{"max_workers":16,"min_workers":2},"node_type_id":null,"spark_conf":{"spark.speculation":true},"spark_version":"7.3.x-scala2.12"},"notebook_task":{"base_parameters":{"age":"35","name":"John Doe"},"notebook_path":"/Users/user.name@databricks.com/Match"},"retry_on_timeout":false,"run_if":"ALL_SUCCESS","task_key":"Match","timeout_seconds":86400}]},"timeout_seconds":{"description":"An optional timeout applied to each run of this job. A value of `0` means no timeout.","type":"integer","format":"int32","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings.timeout_seconds","default":0,"example":86400},"trigger":{"description":"A configuration to trigger a run when certain conditions are met. The default behavior is that the job runs only when triggered by clicking “Run Now” in the Jobs UI or sending an API request to `runNow`.","$ref":"#/components/schemas/jobs.TriggerSettings","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings.trigger","x-databricks-sdk-name":"TriggerSettings","x-databricks-legacy-name":"TriggerSettings","x-databricks-stable-name":"TriggerSettings"},"webhook_notifications":{"description":"A collection of system notification IDs to notify when runs of this job begin or complete.","$ref":"#/components/schemas/jobs.WebhookNotifications","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.JobSettings.webhook_notifications","x-databricks-sdk-name":"WebhookNotifications","x-databricks-legacy-name":"WebhookNotifications","x-databricks-stable-name":"WebhookNotifications","default":{}}},"x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"CreateJob","x-databricks-legacy-name":"CreateJob","x-databricks-stable-name":"CreateJob"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.2_jobs_delete","parameters":{"data":{"type":"object","required":["job_id"],"properties":{"job_id":{"description":"The canonical identifier of the job to delete. This field is required.","type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.DeleteJob.job_id","example":11223344}},"x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"DeleteJob","x-databricks-legacy-name":"DeleteJob","x-databricks-stable-name":"DeleteJob"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.2_jobs_get","parameters":{"job_id":{"type":"integer","description":"The canonical identifier of the job to retrieve information about. This field is required."},"page_token":{"type":"string","description":"Use `next_page_token` returned from the previous GetJob response to request the next page of the job's array properties."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.2_jobs_list","parameters":{"limit":{"type":"integer","description":"The number of jobs to return. This value must be greater than 0 and less or equal to 100. The default value is 20."},"expand_tasks":{"type":"boolean","description":"Whether to include task and cluster details in the response. Note that only the first 100 elements will be shown.\nUse :method:jobs/get to paginate through all tasks and clusters."},"name":{"type":"string","description":"A filter on the list based on the exact (case insensitive) job name."},"page_token":{"type":"string","description":"Use `next_page_token` or `prev_page_token` returned from the previous request to list the next or previous page of jobs respectively."}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.2_jobs_reset","parameters":{"data":{"type":"object","required":["job_id","new_settings"],"properties":{"job_id":{"description":"The canonical identifier of the job to reset. This field is required.","type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.ResetJob.job_id","example":11223344},"new_settings":{"description":"The new settings of the job. These settings completely replace the old settings.\n\nChanges to the field `JobBaseSettings.timeout_seconds` are applied to active runs. Changes to other fields are applied to future runs only.","$ref":"#/components/schemas/jobs.JobSettings","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.ResetJob.new_settings","x-databricks-sdk-name":"JobSettings","x-databricks-legacy-name":"JobSettings","x-databricks-stable-name":"JobSettings"}},"x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"ResetJob","x-databricks-legacy-name":"ResetJob","x-databricks-stable-name":"ResetJob"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.2_jobs_run_now","parameters":{"data":{"type":"object","required":["job_id"],"properties":{"idempotency_token":{"description":"An optional token to guarantee the idempotency of job run requests. If a run with the provided token already exists,\nthe request does not create a new run but returns the ID of the existing run instead. If a run with the provided token is deleted,\nan error is returned.\n\nIf you specify the idempotency token, upon failure you can retry until the request succeeds. Databricks guarantees that exactly one run\nis launched with that idempotency token.\n\nThis token must have at most 64 characters.\n\nFor more information, see [How to ensure idempotency for jobs](https://kb.databricks.com/jobs/jobs-idempotency.html).","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunNow.idempotency_token","example":"8f018174-4792-40d5-bcbc-3e6a527352c8"},"job_id":{"description":"The ID of the job to be executed","type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunNow.job_id","example":11223344},"job_parameters":{"description":"Job-level parameters used in the run. for example `\"param\": \"overriding_val\"`","type":"object","additionalProperties":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.ParamPair.value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunNow.job_parameters"},"only":{"description":"A list of task keys to run inside of the job. If this field is not provided, all tasks in the job will be run.","type":"array","items":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunNow.only.array_value","example":"notebook_task_1"},"x-databricks-api-version":"legacy","x-databricks-launch-stage":"GA","x-databricks-schema-id":"jobs.RunNow.only"},"performance_target":{"description":"The performance mode on a serverless job. The performance target determines the level of compute performance or cost-efficiency for the run. This field overrides the performance target defined on the job level.\n\n* `STANDARD`: Enables cost-efficient execution of serverless workloads.\n* `PERFORMANCE_OPTIMIZED`: Prioritizes fast startup and execution times through rapid scaling and optimized cluster performance.","$ref":"#/components/schemas/jobs.PerformanceTarget","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunNow.performance_target","x-databricks-sdk-name":"PerformanceTarget","x-databricks-legacy-name":"PerformanceTarget","x-databricks-stable-name":"PerformanceTarget"},"pipeline_params":{"description":"Controls whether the pipeline should perform a full refresh","$ref":"#/components/schemas/jobs.PipelineParams","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunParameters.pipeline_params","x-databricks-sdk-name":"PipelineParams","x-databricks-legacy-name":"PipelineParams","x-databricks-stable-name":"PipelineParams"},"queue":{"description":"The queue settings of the run.","$ref":"#/components/schemas/jobs.QueueSettings","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunNow.queue","x-databricks-sdk-name":"QueueSettings","x-databricks-legacy-name":"QueueSettings","x-databricks-stable-name":"QueueSettings"}},"x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"RunNow","x-databricks-legacy-name":"RunNow","x-databricks-stable-name":"RunNow"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.2_jobs_runs_cancel","parameters":{"data":{"type":"object","required":["run_id"],"properties":{"run_id":{"description":"This field is required.","type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.CancelRun.run_id","example":455644833}},"x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"CancelRun","x-databricks-legacy-name":"CancelRun","x-databricks-stable-name":"CancelRun"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.2_jobs_runs_cancel_all","parameters":{"data":{"type":"object","properties":{"all_queued_runs":{"description":"Optional boolean parameter to cancel all queued runs. If no job_id is provided, all queued runs in the workspace are canceled.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.CancelAllRuns.all_queued_runs","default":false,"example":false},"job_id":{"description":"The canonical identifier of the job to cancel all runs of.","type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.CancelAllRuns.job_id","example":11223344}},"x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"CancelAllRuns","x-databricks-legacy-name":"CancelAllRuns","x-databricks-stable-name":"CancelAllRuns"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.2_jobs_runs_delete","parameters":{"data":{"type":"object","required":["run_id"],"properties":{"run_id":{"description":"ID of the run to delete.","type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.DeleteRun.run_id","example":455644833}},"x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"DeleteRun","x-databricks-legacy-name":"DeleteRun","x-databricks-stable-name":"DeleteRun"}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.2_jobs_runs_export","parameters":{"run_id":{"type":"integer","description":"The canonical identifier for the run. This field is required."},"views_to_export":{"type":"string","description":"Which views to export (CODE, DASHBOARDS, or ALL). Defaults to CODE."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.2_jobs_runs_get","parameters":{"run_id":{"type":"integer","description":"The canonical identifier of the run for which to retrieve the metadata.\nThis field is required."},"include_history":{"type":"boolean","description":"Whether to include the repair history in the response."},"include_resolved_values":{"type":"boolean","description":"Whether to include resolved parameter values in the response."},"page_token":{"type":"string","description":"Use `next_page_token` returned from the previous GetRun response to request the next page of the run's array properties."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.2_jobs_runs_get_output","parameters":{"run_id":{"type":"integer","description":"The canonical identifier for the run."}}},{"connectionName":"databricks-workspace","actionName":"get_api_2.2_jobs_runs_list","parameters":{"job_id":{"type":"integer","description":"The job for which to list runs. If omitted, the Jobs service lists runs from all jobs."},"active_only":{"type":"boolean","description":"If active_only is `true`, only active runs are included in the results; otherwise,\nlists both active and completed runs. An active run is a run in the `QUEUED`, `PENDING`,\n`RUNNING`, or `TERMINATING`. This field cannot be `true` when completed_only is `true`."},"completed_only":{"type":"boolean","description":"If completed_only is `true`, only completed runs are included in the results;\notherwise, lists both active and completed runs. This field cannot be `true` when\nactive_only is `true`."},"limit":{"type":"integer","description":"The number of runs to return. This value must be greater than 0 and less than 25.\nThe default value is 20. If a request specifies a limit of 0, the service instead\nuses the maximum limit."},"run_type":{"type":"string","description":"The type of runs to return. For a description of run types, see :method:jobs/getRun."},"expand_tasks":{"type":"boolean","description":"Whether to include task and cluster details in the response. Note that only the first 100 elements will be shown.\nUse :method:jobs/getrun to paginate through all tasks and clusters."},"start_time_from":{"type":"integer","description":"Show runs that started _at or after_ this value. The value must be a UTC timestamp\nin milliseconds. Can be combined with _start_time_to_ to filter by a time range."},"start_time_to":{"type":"integer","description":"Show runs that started _at or before_ this value. The value must be a UTC timestamp\nin milliseconds. Can be combined with _start_time_from_ to filter by a time range."},"page_token":{"type":"string","description":"Use `next_page_token` or `prev_page_token` returned from the previous request to list the next or previous page of runs respectively."}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.2_jobs_runs_repair","parameters":{"data":{"type":"object","required":["run_id"],"properties":{"job_parameters":{"description":"Job-level parameters used in the run. for example `\"param\": \"overriding_val\"`","type":"object","additionalProperties":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.ParamPair.value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RepairRun.job_parameters"},"latest_repair_id":{"description":"The ID of the latest repair. This parameter is not required when repairing a run for the first time, but must be provided on subsequent requests to repair the same run.","type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RepairRun.latest_repair_id","example":734650698524280},"performance_target":{"description":"The performance mode on a serverless job. The performance target determines the level of compute performance or cost-efficiency for the run. This field overrides the performance target defined on the job level.\n\n* `STANDARD`: Enables cost-efficient execution of serverless workloads.\n* `PERFORMANCE_OPTIMIZED`: Prioritizes fast startup and execution times through rapid scaling and optimized cluster performance.","$ref":"#/components/schemas/jobs.PerformanceTarget","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RepairRun.performance_target","x-databricks-sdk-name":"PerformanceTarget","x-databricks-legacy-name":"PerformanceTarget","x-databricks-stable-name":"PerformanceTarget"},"pipeline_params":{"description":"Controls whether the pipeline should perform a full refresh","$ref":"#/components/schemas/jobs.PipelineParams","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunParameters.pipeline_params","x-databricks-sdk-name":"PipelineParams","x-databricks-legacy-name":"PipelineParams","x-databricks-stable-name":"PipelineParams"},"rerun_all_failed_tasks":{"description":"If true, repair all failed tasks. Only one of `rerun_tasks` or `rerun_all_failed_tasks` can be used.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RepairRun.rerun_all_failed_tasks","default":false},"rerun_dependent_tasks":{"description":"If true, repair all tasks that depend on the tasks in `rerun_tasks`, even if they were previously successful. Can be also used in combination with `rerun_all_failed_tasks`.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RepairRun.rerun_dependent_tasks","default":false},"rerun_tasks":{"description":"The task keys of the task runs to repair.","type":"array","items":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RepairRun.rerun_tasks.array_value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RepairRun.rerun_tasks","example":["task0","task1"]},"run_id":{"description":"The job run ID of the run to repair. The run must not be in progress.","type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RepairRun.run_id","example":455644833}},"x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"RepairRun","x-databricks-legacy-name":"RepairRun","x-databricks-stable-name":"RepairRun"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.2_jobs_runs_submit","parameters":{"data":{"type":"object","properties":{"access_control_list":{"description":"List of permissions to set on the job.","type":"array","items":{"$ref":"#/components/schemas/jobs.JobAccessControlRequest","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.SubmitRun.access_control_list.array_value","x-databricks-sdk-name":"JobAccessControlRequest","x-databricks-legacy-name":"JobAccessControlRequest","x-databricks-stable-name":"JobAccessControlRequest"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.SubmitRun.access_control_list"},"budget_policy_id":{"description":"The user specified id of the budget policy to use for this one-time run.\nIf not specified, the run will be not be attributed to any budget policy.","type":"string","format":"uuid","x-databricks-field-behaviors":["INPUT_ONLY"],"x-databricks-api-version":"legacy","x-databricks-launch-stage":"PUBLIC_PREVIEW","x-databricks-preview":"PUBLIC","x-databricks-schema-id":"jobs.RunSettings.budget_policy_id","example":"550e8400-e29b-41d4-a716-446655440000"},"email_notifications":{"description":"An optional set of email addresses notified when the run begins or completes.","$ref":"#/components/schemas/jobs.JobEmailNotifications","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunSettings.email_notifications","x-databricks-sdk-name":"JobEmailNotifications","x-databricks-legacy-name":"JobEmailNotifications","x-databricks-stable-name":"JobEmailNotifications","default":{}},"environments":{"description":"A list of task execution environment specifications that can be referenced by tasks of this run.","type":"array","items":{"$ref":"#/components/schemas/jobs.JobEnvironment","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunSettings.environments.array_value","x-databricks-sdk-name":"JobEnvironment","x-databricks-legacy-name":"JobEnvironment","x-databricks-stable-name":"JobEnvironment"},"x-databricks-api-version":"legacy","maxItems":10,"x-databricks-schema-id":"jobs.RunSettings.environments"},"git_source":{"description":"An optional specification for a remote Git repository containing the source code used by tasks. Version-controlled source code is supported by notebook, dbt, Python script, and SQL File tasks.\n\nIf `git_source` is set, these tasks retrieve the file from the remote repository by default. However, this behavior can be overridden by setting `source` to `WORKSPACE` on the task.\n\nNote: dbt and SQL File tasks support only version-controlled sources. If dbt or SQL File tasks are used, `git_source` must be defined on the job.","$ref":"#/components/schemas/jobs.GitSource","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunSettings.git_source","x-databricks-sdk-name":"GitSource","x-databricks-legacy-name":"GitSource","x-databricks-stable-name":"GitSource"},"health":{"$ref":"#/components/schemas/jobs.JobsHealthRules","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunSettings.health","x-databricks-sdk-name":"JobsHealthRules","x-databricks-legacy-name":"JobsHealthRules","x-databricks-stable-name":"JobsHealthRules"},"idempotency_token":{"description":"An optional token that can be used to guarantee the idempotency of job run requests. If a run with the provided token already exists,\nthe request does not create a new run but returns the ID of the existing run instead. If a run with the provided token is deleted,\nan error is returned.\n\nIf you specify the idempotency token, upon failure you can retry until the request succeeds. Databricks guarantees that exactly\none run is launched with that idempotency token.\n\nThis token must have at most 64 characters.\n\nFor more information, see [How to ensure idempotency for jobs](https://kb.databricks.com/jobs/jobs-idempotency.html).","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunSettings.idempotency_token","example":"8f018174-4792-40d5-bcbc-3e6a527352c8"},"notification_settings":{"description":"Optional notification settings that are used when sending notifications to each of the `email_notifications` and `webhook_notifications` for this run.","$ref":"#/components/schemas/jobs.JobNotificationSettings","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunSettings.notification_settings","x-databricks-sdk-name":"JobNotificationSettings","x-databricks-legacy-name":"JobNotificationSettings","x-databricks-stable-name":"JobNotificationSettings","default":{}},"queue":{"description":"The queue settings of the one-time run.","$ref":"#/components/schemas/jobs.QueueSettings","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.SubmitRun.queue","x-databricks-sdk-name":"QueueSettings","x-databricks-legacy-name":"QueueSettings","x-databricks-stable-name":"QueueSettings"},"run_as":{"description":"Specifies the user or service principal that the job runs as. If not specified, the job runs as the user who submits the request.","$ref":"#/components/schemas/jobs.JobRunAs","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.SubmitRun.run_as","x-databricks-sdk-name":"JobRunAs","x-databricks-legacy-name":"JobRunAs","x-databricks-stable-name":"JobRunAs"},"run_name":{"description":"An optional name for the run. The default value is `Untitled`.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunSettings.run_name","default":"Untitled","example":"A multitask job run"},"tasks":{"type":"array","items":{"$ref":"#/components/schemas/jobs.SubmitTask","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunSettings.tasks.array_value","x-databricks-sdk-name":"SubmitTask","x-databricks-legacy-name":"SubmitTask","x-databricks-stable-name":"SubmitTask"},"x-databricks-api-version":"legacy","maxItems":100,"x-databricks-schema-id":"jobs.RunSettings.tasks","example":[{"depends_on":[],"description":"Extracts session data from events","existing_cluster_id":"0923-164208-meows279","libraries":[{"jar":"dbfs:/mnt/databricks/Sessionize.jar"}],"min_retry_interval_millis":2000,"retry_on_timeout":false,"spark_jar_task":{"main_class_name":"com.databricks.Sessionize","parameters":["--data","dbfs:/path/to/data.json"]},"task_key":"Sessionize","timeout_seconds":86400},{"depends_on":[],"description":"Ingests order data","existing_cluster_id":"0923-164208-meows279","libraries":[{"jar":"dbfs:/mnt/databricks/OrderIngest.jar"}],"spark_jar_task":{"main_class_name":"com.databricks.OrdersIngest","parameters":["--data","dbfs:/path/to/order-data.json"]},"task_key":"Orders_Ingest","timeout_seconds":86400},{"depends_on":[{"task_key":"Orders_Ingest"},{"task_key":"Sessionize"}],"description":"Matches orders with user sessions","new_cluster":{"autoscale":{"max_workers":16,"min_workers":2},"node_type_id":null,"spark_conf":{"spark.speculation":true},"spark_version":"7.3.x-scala2.12"},"notebook_task":{"base_parameters":{"age":"35","name":"John Doe"},"notebook_path":"/Users/user.name@databricks.com/Match"},"retry_on_timeout":false,"run_if":"ALL_SUCCESS","task_key":"Match","timeout_seconds":86400}]},"timeout_seconds":{"description":"An optional timeout applied to each run of this job. A value of `0` means no timeout.","type":"integer","format":"int32","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunSettings.timeout_seconds","default":0,"example":86400},"webhook_notifications":{"description":"A collection of system notification IDs to notify when the run begins or completes.","$ref":"#/components/schemas/jobs.WebhookNotifications","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.RunSettings.webhook_notifications","x-databricks-sdk-name":"WebhookNotifications","x-databricks-legacy-name":"WebhookNotifications","x-databricks-stable-name":"WebhookNotifications","default":{}}},"x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"SubmitRun","x-databricks-legacy-name":"SubmitRun","x-databricks-stable-name":"SubmitRun"}}},{"connectionName":"databricks-workspace","actionName":"post_api_2.2_jobs_update","parameters":{"data":{"type":"object","required":["job_id"],"properties":{"fields_to_remove":{"description":"Remove top-level fields in the job settings. Removing nested fields is not supported, except for tasks and job clusters (`tasks/task_1`). This field is optional.","type":"array","items":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.UpdateJob.fields_to_remove.array_value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.UpdateJob.fields_to_remove","example":["libraries","schedule","tasks/task_1","job_clusters/Default"]},"job_id":{"description":"The canonical identifier of the job to update. This field is required.","type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.UpdateJob.job_id","example":11223344},"new_settings":{"description":"The new settings for the job.\n\nTop-level fields specified in `new_settings` are completely replaced, except for arrays which are merged. That is, new and existing entries are completely replaced based on the respective key fields, i.e. `task_key` or `job_cluster_key`, while previous entries are kept.\n\nPartially updating nested fields is not supported.\n\nChanges to the field `JobSettings.timeout_seconds` are applied to active runs. Changes to other fields are applied to future runs only.","$ref":"#/components/schemas/jobs.JobSettings","x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-schema-id":"jobs.UpdateJob.new_settings","x-databricks-sdk-name":"JobSettings","x-databricks-legacy-name":"JobSettings","x-databricks-stable-name":"JobSettings"}},"x-databricks-package-name":"jobs","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"UpdateJob","x-databricks-legacy-name":"UpdateJob","x-databricks-stable-name":"UpdateJob"}}},{"connectionName":"databricks-workspace","actionName":"post_api_3.0_mlflow_traces","parameters":{"data":{"type":"object","required":["trace"],"properties":{"trace":{"description":"The information for the trace being created.","$ref":"#/components/schemas/ml.StartTraceV3RequestTrace","x-databricks-package-name":"ml","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.tracing.v3.StartTraceV3Request.trace","x-databricks-sdk-name":"StartTraceV3RequestTrace","x-databricks-legacy-name":"StartTraceV3RequestTrace","x-databricks-stable-name":"StartTraceV3RequestTrace"}},"x-databricks-package-name":"ml","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"StartTraceV3Request","x-databricks-legacy-name":"StartTraceV3Request","x-databricks-stable-name":"StartTraceV3Request"}}},{"connectionName":"databricks-workspace","actionName":"post_api_3.0_mlflow_traces_delete_traces","parameters":{"data":{"type":"object","properties":{"experiment_id":{"description":"The ID of the experiment containing the traces.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.tracing.v3.DeleteTracesV3Request.experiment_id"},"max_timestamp_millis":{"description":"The maximum timestamp in milliseconds since the UNIX epoch at which to delete traces.","type":"integer","format":"int64","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.tracing.v3.DeleteTracesV3Request.max_timestamp_millis"},"max_traces":{"description":"The maximum number of traces to delete.","type":"integer","format":"int32","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.tracing.v3.DeleteTracesV3Request.max_traces"},"trace_ids":{"description":"The set of trace IDs to delete.","type":"array","items":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"databricks.mlflow.tracing.v3.DeleteTracesV3Request.trace_ids.array_value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.tracing.v3.DeleteTracesV3Request.trace_ids"}},"x-databricks-package-name":"ml","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"DeleteTracesV3Request","x-databricks-legacy-name":"DeleteTracesV3Request","x-databricks-stable-name":"DeleteTracesV3Request"}}},{"connectionName":"databricks-workspace","actionName":"post_api_3.0_mlflow_traces_search","parameters":{"data":{"description":"A request to search for traces. This can be used with no filter to list all traces for specific experiments.","type":"object","properties":{"filter":{"description":"A filter expression over trace attributes and tags that allows returning a subset of\ntraces. The syntax is a subset of SQL that supports AND'ing together binary operations\n\nThe supported `trace` filter fields are `trace.state`, `trace.request_time_ms`, and `trace.execution_time_ms`.\n\nFilters can also be placed on tags and metadata as `tags.foo` where `foo` is the tag key or `metadata.bar` where\n`bar` is the metadata key.\n\nExample: ``trace.state = 'OK' and trace.request_time > 1711089570679 and tags.provider = 'databricks'``.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.tracing.v3.SearchTracesV3Request.filter"},"locations":{"description":"A list of Mlflow experiments to search over.","type":"array","items":{"$ref":"#/components/schemas/ml.SearchTracesV3TraceLocation","x-databricks-package-name":"ml","x-databricks-api-version":"legacy","x-databricks-schema-id":"databricks.mlflow.tracing.v3.SearchTracesV3Request.locations.array_value","x-databricks-sdk-name":"SearchTracesV3TraceLocation","x-databricks-legacy-name":"SearchTracesV3TraceLocation","x-databricks-stable-name":"SearchTracesV3TraceLocation"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.tracing.v3.SearchTracesV3Request.locations"},"max_results":{"description":"The maximum number of traces to be returned in this page of results.","type":"integer","format":"int32","x-databricks-api-version":"legacy","maximum":10000,"x-databricks-schema-id":"mlflow.tracing.v3.SearchTracesV3Request.max_results","default":100},"order_by":{"description":"List of columns for ordering the results, e.g. ``[\"request_time_ms DESC\"]``.","type":"array","items":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"databricks.mlflow.tracing.v3.SearchTracesV3Request.order_by.array_value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.tracing.v3.SearchTracesV3Request.order_by"},"page_token":{"description":"Token indicating the page of traces to fetch.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.tracing.v3.SearchTracesV3Request.page_token"}},"x-databricks-package-name":"ml","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"SearchTracesV3Request","x-databricks-legacy-name":"SearchTracesV3Request","x-databricks-stable-name":"SearchTracesV3Request"}}},{"connectionName":"databricks-workspace","actionName":"get_api_3.0_mlflow_traces_by_trace_id","parameters":{"trace_id":{"type":"string","description":"The ID of the trace to fetch."}}},{"connectionName":"databricks-workspace","actionName":"patch_api_3.0_mlflow_traces_by_trace_id","parameters":{"trace_id":{"type":"string","description":"The ID of the trace."},"data":{"type":"object","required":["trace","update_mask"],"properties":{"trace":{"description":"The properties to update the trace with.\n\nBoth ``trace.trace_info.execution_duration`` and a ``trace.trace_info.state``\nof either ``OK`` or ``ERROR`` must be provided, and mutable trace values listed below can also be updated.\n\nAssessments can be added to the trace but existing assessments may not be updated via this endpoint. Please use the\n\"Update an assessment of a trace\" API if you wish to update assessments belonging to a trace.","$ref":"#/components/schemas/ml.EndTraceV3RequestTrace","x-databricks-package-name":"ml","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.tracing.v3.EndTraceV3Request.trace","x-databricks-sdk-name":"EndTraceV3RequestTrace","x-databricks-legacy-name":"EndTraceV3RequestTrace","x-databricks-stable-name":"EndTraceV3RequestTrace"},"update_mask":{"description":"A field mask specifying which attributes of `trace` to update.\n\nValid field names to update are:\n`trace_info.request_preview`,\n`trace_info.response_preview`,\n`trace_info.execution_duration`,\n`trace_info.state`,\n`trace_info.trace_metadata`,\n`trace_info.assessments`,\nand `trace_info.tags`.\n\nThe field mask must be a single string, with multiple fields separated by commas (no spaces). The field path is relative to the resource object, using a dot (`.`) to navigate sub-fields (e.g., `author.given_name`). Specification of elements in sequence or map fields is not allowed, as only the entire collection field can be specified. Field names must exactly match the resource field names.\n\nA field mask of `*` indicates full replacement. It’s recommended to always explicitly list the fields being updated and avoid using `*` wildcards, as it can lead to unintended results if the API changes in the future.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.tracing.v3.EndTraceV3Request.update_mask","x-databricks-well-known-type":"google.protobuf.FieldMask"}},"x-databricks-package-name":"ml","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"EndTraceV3Request","x-databricks-legacy-name":"EndTraceV3Request","x-databricks-stable-name":"EndTraceV3Request"}}},{"connectionName":"databricks-workspace","actionName":"post_api_3.0_mlflow_traces_by_trace_id_assessments","parameters":{"trace_id":{"type":"string","description":"The ID of the trace the assessment belongs to."},"data":{"type":"object","required":["assessment"],"properties":{"assessment":{"description":"The properties of the assessment being created.","$ref":"#/components/schemas/ml.CreateAssessment","x-databricks-package-name":"ml","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.tracing.v3.CreateAssessmentRequest.assessment","x-databricks-sdk-name":"CreateAssessment","x-databricks-legacy-name":"CreateAssessment","x-databricks-stable-name":"CreateAssessment"}},"x-databricks-package-name":"ml","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"CreateAssessmentRequest","x-databricks-legacy-name":"CreateAssessmentRequest","x-databricks-stable-name":"CreateAssessmentRequest"}}},{"connectionName":"databricks-workspace","actionName":"get_api_3.0_mlflow_traces_by_trace_id_assessments_by_assessment_id","parameters":{"trace_id":{"type":"string","description":"The ID of the trace the assessment belongs to."},"assessment_id":{"type":"string","description":"The ID of the assessment."}}},{"connectionName":"databricks-workspace","actionName":"patch_api_3.0_mlflow_traces_by_trace_id_assessments_by_assessment_id","parameters":{"trace_id":{"type":"string","description":"The ID of the trace the assessment belongs to."},"assessment_id":{"type":"string","description":"The unique ID of the assessment."},"data":{"description":"A request to update an existing assessment.","type":"object","required":["assessment","update_mask"],"properties":{"assessment":{"description":"The new properties for the assessment.","$ref":"#/components/schemas/ml.UpdateAssessment","x-databricks-package-name":"ml","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.tracing.v3.UpdateAssessmentRequest.assessment","x-databricks-sdk-name":"UpdateAssessment","x-databricks-legacy-name":"UpdateAssessment","x-databricks-stable-name":"UpdateAssessment"},"update_mask":{"description":"The list of the assessment fields to update. These must correspond to the desired values (or empty if\ndeleting that value) that are present in `assessment`.\n\nValid field names to update are:\n`feedback`,\n`expectation`,\n`rationale`,\n`error`, and\n`metadata`.\n\nThe field mask must be a single string, with multiple fields separated by commas (no spaces). The field path is relative to the resource object, using a dot (`.`) to navigate sub-fields (e.g., `author.given_name`). Specification of elements in sequence or map fields is not allowed, as only the entire collection field can be specified. Field names must exactly match the resource field names.\n\nA field mask of `*` indicates full replacement. It’s recommended to always explicitly list the fields being updated and avoid using `*` wildcards, as it can lead to unintended results if the API changes in the future.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.tracing.v3.UpdateAssessmentRequest.update_mask","x-databricks-well-known-type":"google.protobuf.FieldMask"}},"x-databricks-package-name":"ml","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"UpdateAssessmentRequest","x-databricks-legacy-name":"UpdateAssessmentRequest","x-databricks-stable-name":"UpdateAssessmentRequest"}}},{"connectionName":"databricks-workspace","actionName":"delete_api_3.0_mlflow_traces_by_trace_id_assessments_by_assessment_id","parameters":{"trace_id":{"type":"string","description":"The ID of the trace the assessment belongs to."},"assessment_id":{"type":"string","description":"The ID of the assessment."}}},{"connectionName":"databricks-workspace","actionName":"get_api_3.0_mlflow_traces_by_trace_id_credentials_for_data_download","parameters":{"trace_id":{"type":"string","description":"The ID of the trace to fetch artifact download credentials for."}}},{"connectionName":"databricks-workspace","actionName":"get_api_3.0_mlflow_traces_by_trace_id_credentials_for_data_upload","parameters":{"trace_id":{"type":"string","description":"The ID of the trace to fetch artifact upload credentials for."}}},{"connectionName":"databricks-workspace","actionName":"patch_api_3.0_mlflow_traces_by_trace_id_tags","parameters":{"trace_id":{"type":"string","description":"The ID of the trace on which to set a tag."},"data":{"type":"object","properties":{"key":{"description":"The name of the tag. Keys up to 250 bytes in size are supported.\nTag keys should not be prefixed with ``\"mlflow.\"`` as this is a reserved namespace for system tags.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.tracing.v3.SetTraceTagV3Request.key"},"value":{"description":"The string value of the tag being logged. Values up to 64KB in size are supported.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"mlflow.tracing.v3.SetTraceTagV3Request.value"}},"x-databricks-package-name":"ml","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"SetTraceTagV3Request","x-databricks-legacy-name":"SetTraceTagV3Request","x-databricks-stable-name":"SetTraceTagV3Request"}}},{"connectionName":"databricks-workspace","actionName":"delete_api_3.0_mlflow_traces_by_trace_id_tags","parameters":{"trace_id":{"type":"string","description":"The ID of the trace from which to delete the tag."},"key":{"type":"string","description":"The name of the tag to delete."}}},{"connectionName":"databricks-workspace","actionName":"patch_api_3.0_rfa_destinations","parameters":{"update_mask":{"type":"string"},"data":{"type":"object","required":["destinations","securable"],"properties":{"are_any_destinations_hidden":{"description":"Indicates whether any destinations are hidden from the caller due to a lack of permissions.\nThis value is true if the caller does not have permission to see all destinations.","type":"boolean","x-databricks-field-behaviors":["OUTPUT_ONLY"],"x-databricks-api-version":"legacy","readOnly":true,"x-databricks-schema-id":"metadatalineageapiserver.AccessRequestDestinations.are_any_destinations_hidden","example":false},"destinations":{"description":"The access request destinations for the securable.","type":"array","items":{"$ref":"#/components/schemas/catalog.NotificationDestination","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-schema-id":"metadatalineageapiserver.AccessRequestDestinations.destinations.array_value","x-databricks-sdk-name":"NotificationDestination","x-databricks-legacy-name":"NotificationDestination","x-databricks-stable-name":"NotificationDestination"},"x-databricks-field-behaviors":["REQUIRED"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"metadatalineageapiserver.AccessRequestDestinations.destinations","example":[{"destination_id":"john.doe@databricks.com","destination_type":"EMAIL"},{"destination_id":"https://www.databricks.com/","destination_type":"URL"},{"destination_id":"456e7890-e89b-12d3-a456-426614174001","destination_type":"SLACK"},{"destination_id":"789e0123-e89b-12d3-a456-426614174002","destination_type":"MICROSOFT_TEAMS"},{"destination_id":"abcde123-e89b-12d3-a456-426614174003","destination_type":"GENERIC_WEBHOOK"}]},"securable":{"description":"The securable for which the access request destinations are being retrieved.","$ref":"#/components/schemas/catalog.Securable","x-databricks-package-name":"catalog","x-databricks-field-behaviors":["REQUIRED"],"x-databricks-api-version":"legacy","x-databricks-schema-id":"metadatalineageapiserver.AccessRequestDestinations.securable","x-databricks-sdk-name":"Securable","x-databricks-legacy-name":"Securable","x-databricks-stable-name":"Securable","example":{"full_name":"main.customer_data","type":"SCHEMA"}}},"x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"AccessRequestDestinations","x-databricks-legacy-name":"AccessRequestDestinations","x-databricks-stable-name":"AccessRequestDestinations"}}},{"connectionName":"databricks-workspace","actionName":"get_api_3.0_rfa_destinations_by_securable_type_by_full_name","parameters":{"securable_type":{"type":"string","description":"The type of the securable."},"full_name":{"type":"string","description":"The full name of the securable."}}},{"connectionName":"databricks-workspace","actionName":"post_api_3.0_rfa_requests","parameters":{"data":{"type":"object","properties":{"requests":{"description":"A list of individual access requests, where each request corresponds to\na set of permissions being requested on a list of securables for a specified principal.\n\nAt most 30 requests per API call.","type":"array","items":{"$ref":"#/components/schemas/catalog.CreateAccessRequest","x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-schema-id":"metadatalineageapiserver.BatchCreateAccessRequestsRequest.requests.array_value","x-databricks-sdk-name":"CreateAccessRequest","x-databricks-legacy-name":"CreateAccessRequest","x-databricks-stable-name":"CreateAccessRequest"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"metadatalineageapiserver.BatchCreateAccessRequestsRequest.requests","example":[{"behalf_of":{"id":"5617094356186623","principal_type":"USER_PRINCIPAL"},"comment":"Requesting SELECT on main.customers.information table","securable_permissions":[{"permissions":["USE_CATALOG"],"securable":{"full_name":"main","type":"CATALOG"}},{"permissions":["USE_SCHEMA"],"securable":{"full_name":"main.customers","type":"SCHEMA"}},{"permissions":["SELECT","MODIFY"],"securable":{"full_name":"main.customers.information","type":"TABLE"}}]},{"securable_permissions":[{"permissions":["USE_SCHEMA"],"securable":{"full_name":"main.orders","type":"SCHEMA"}}]}]}},"x-databricks-package-name":"catalog","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"BatchCreateAccessRequestsRequest","x-databricks-legacy-name":"BatchCreateAccessRequestsRequest","x-databricks-stable-name":"BatchCreateAccessRequestsRequest"}}},{"connectionName":"databricks-workspace","actionName":"post_serving_endpoints_by_name_invocations","parameters":{"name":{"type":"string","description":"The name of the serving endpoint. This field is required and is provided via the path parameter."},"data":{"type":"object","properties":{"client_request_id":{"description":"Optional user-provided request identifier that will be recorded in the inference table and the usage tracking table.","type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"modelservingproxy.QueryEndpointInput.client_request_id"},"dataframe_records":{"description":"Pandas Dataframe input in the records orientation.","type":"array","items":{"x-databricks-any":true,"x-databricks-api-version":"legacy","x-databricks-schema-id":"databricks.modelservingproxy.QueryEndpointInput.dataframe_records.array_value","x-databricks-rule-ignores":[{"group":"any","ruleIgnoreCategory":"DEPRECATED_FEATURE"}]},"x-databricks-api-version":"legacy","x-databricks-schema-id":"modelservingproxy.QueryEndpointInput.dataframe_records"},"dataframe_split":{"description":"Pandas Dataframe input in the split orientation.","$ref":"#/components/schemas/serving.DataframeSplitInput","x-databricks-package-name":"serving","x-databricks-api-version":"legacy","x-databricks-schema-id":"modelservingproxy.QueryEndpointInput.dataframe_split","x-databricks-sdk-name":"DataframeSplitInput","x-databricks-legacy-name":"DataframeSplitInput","x-databricks-stable-name":"DataframeSplitInput"},"extra_params":{"description":"The extra parameters field used ONLY for __completions, chat,__ and __embeddings external & foundation\nmodel__ serving endpoints. This is a map of strings and should only be used with other external/foundation\nmodel query fields.","type":"object","additionalProperties":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"modelservingproxy.QueryEndpointInput.ExtraParamsEntry.value"},"x-databricks-api-version":"legacy","x-databricks-launch-stage":"PUBLIC_PREVIEW","x-databricks-preview":"PUBLIC","x-databricks-schema-id":"modelservingproxy.QueryEndpointInput.extra_params"},"input":{"description":"The input string (or array of strings) field used ONLY for __embeddings external & foundation model__\nserving endpoints and is the only field (along with extra_params if needed) used by embeddings queries.","x-databricks-any":true,"x-databricks-api-version":"legacy","x-databricks-launch-stage":"PUBLIC_PREVIEW","x-databricks-preview":"PUBLIC","x-databricks-schema-id":"modelservingproxy.QueryEndpointInput.input","x-databricks-rule-ignores":[{"group":"any","ruleIgnoreCategory":"DEPRECATED_FEATURE"}]},"inputs":{"description":"Tensor-based input in columnar format.","x-databricks-any":true,"x-databricks-api-version":"legacy","x-databricks-schema-id":"modelservingproxy.QueryEndpointInput.inputs","x-databricks-rule-ignores":[{"group":"any","ruleIgnoreCategory":"DEPRECATED_FEATURE"}]},"instances":{"description":"Tensor-based input in row format.","type":"array","items":{"x-databricks-any":true,"x-databricks-api-version":"legacy","x-databricks-schema-id":"databricks.modelservingproxy.QueryEndpointInput.instances.array_value","x-databricks-rule-ignores":[{"group":"any","ruleIgnoreCategory":"DEPRECATED_FEATURE"}]},"x-databricks-api-version":"legacy","x-databricks-schema-id":"modelservingproxy.QueryEndpointInput.instances"},"max_tokens":{"description":"The max tokens field used ONLY for __completions__ and __chat external & foundation model__ serving\nendpoints. This is an integer and should only be used with other chat/completions query fields.","type":"integer","format":"int32","x-databricks-api-version":"legacy","x-databricks-launch-stage":"PUBLIC_PREVIEW","x-databricks-preview":"PUBLIC","x-databricks-schema-id":"modelservingproxy.QueryEndpointInput.max_tokens","example":100},"messages":{"description":"The messages field used ONLY for __chat external & foundation model__ serving endpoints.\nThis is an array of ChatMessage objects and should only be used with other chat query fields.","type":"array","items":{"$ref":"#/components/schemas/serving.ChatMessage","x-databricks-package-name":"serving","x-databricks-api-version":"legacy","x-databricks-schema-id":"databricks.modelservingproxy.QueryEndpointInput.messages.array_value","x-databricks-sdk-name":"ChatMessage","x-databricks-legacy-name":"ChatMessage","x-databricks-stable-name":"ChatMessage"},"x-databricks-api-version":"legacy","x-databricks-launch-stage":"PUBLIC_PREVIEW","x-databricks-preview":"PUBLIC","x-databricks-schema-id":"modelservingproxy.QueryEndpointInput.messages"},"n":{"description":"The n (number of candidates) field used ONLY for __completions__ and __chat external & foundation model__\nserving endpoints. This is an integer between 1 and 5 with a default of 1 and should only be used with\nother chat/completions query fields.","type":"integer","format":"int32","x-databricks-api-version":"legacy","x-databricks-launch-stage":"PUBLIC_PREVIEW","x-databricks-preview":"PUBLIC","x-databricks-schema-id":"modelservingproxy.QueryEndpointInput.n","example":5},"prompt":{"description":"The prompt string (or array of strings) field used ONLY for __completions external & foundation model__\nserving endpoints and should only be used with other completions query fields.","x-databricks-any":true,"x-databricks-api-version":"legacy","x-databricks-launch-stage":"PUBLIC_PREVIEW","x-databricks-preview":"PUBLIC","x-databricks-schema-id":"modelservingproxy.QueryEndpointInput.prompt","x-databricks-rule-ignores":[{"group":"any","ruleIgnoreCategory":"DEPRECATED_FEATURE"}]},"stop":{"description":"The stop sequences field used ONLY for __completions__ and __chat external & foundation model__ serving\nendpoints. This is a list of strings and should only be used with other chat/completions query fields.","type":"array","items":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"databricks.modelservingproxy.QueryEndpointInput.stop.array_value"},"x-databricks-api-version":"legacy","x-databricks-launch-stage":"PUBLIC_PREVIEW","x-databricks-preview":"PUBLIC","x-databricks-schema-id":"modelservingproxy.QueryEndpointInput.stop"},"stream":{"description":"The stream field used ONLY for __completions__ and __chat external & foundation model__ serving endpoints.\nThis is a boolean defaulting to false and should only be used with other chat/completions query fields.","type":"boolean","x-databricks-api-version":"legacy","x-databricks-launch-stage":"PUBLIC_PREVIEW","x-databricks-preview":"PUBLIC","x-databricks-schema-id":"modelservingproxy.QueryEndpointInput.stream","example":true},"temperature":{"description":"The temperature field used ONLY for __completions__ and __chat external & foundation model__ serving\nendpoints. This is a float between 0.0 and 2.0 with a default of 1.0 and should only be used with other\nchat/completions query fields.","type":"number","format":"double","x-databricks-api-version":"legacy","x-databricks-launch-stage":"PUBLIC_PREVIEW","x-databricks-preview":"PUBLIC","x-databricks-schema-id":"modelservingproxy.QueryEndpointInput.temperature","example":0.5},"usage_context":{"description":"Optional user-provided context that will be recorded in the usage tracking table.","type":"object","additionalProperties":{"type":"string","x-databricks-api-version":"legacy","x-databricks-schema-id":"modelservingproxy.QueryEndpointInput.UsageContextEntry.value"},"x-databricks-api-version":"legacy","x-databricks-schema-id":"modelservingproxy.QueryEndpointInput.usage_context"}},"x-databricks-package-name":"serving","x-databricks-api-version":"legacy","x-databricks-generated":true,"x-databricks-sdk-name":"QueryEndpointInput","x-databricks-legacy-name":"QueryEndpointInput","x-databricks-stable-name":"QueryEndpointInput"}}}],"pricing_info":"","support_level":"","slug":"databricks-workspace","markdownContent":"","created_at":"2025-09-09T14:13:10.564Z"}}},"actionData":null,"errors":null}