Delta Live Tables API guide

Important

This article’s content has been retired and might not be updated. See Delta Live Tables in the Databricks REST API Reference.

The Delta Live Tables API allows you to create, edit, delete, start, and view details about pipelines.

Important

To access Databricks REST APIs, you must authenticate.

Create a pipeline

Endpoint	HTTP Method
2.0/pipelines	POST

Creates a new Delta Live Tables pipeline.

Example

This example creates a new triggered pipeline.

Request

curl --netrc -X POST \
https://<databricks-instance>/api/2.0/pipelines \
--data @pipeline-settings.json

pipeline-settings.json:

{
  "name": "Wikipedia pipeline (SQL)",
  "storage": "/Users/username/data",
  "clusters": [
    {
      "label": "default",
      "autoscale": {
        "min_workers": 1,
        "max_workers": 5,
        "mode": "ENHANCED"
      }
    }
  ],
  "libraries": [
    {
      "notebook": {
        "path": "/Users/username/DLT Notebooks/Delta Live Tables quickstart (SQL)"
      }
    }
  ],
  "continuous": false
}

Replace:

• <databricks-instance> with the Databricks workspace instance name, for example 1234567890123456.7.gcp.databricks.com.

This example uses a .netrc file.

Response

{
  "pipeline_id": "a12cd3e4-0ab1-1abc-1a2b-1a2bcd3e4fg5"
}

Request structure

See PipelineSettings.

Response structure

Field Name	Type	Description
pipeline_id	STRING	The unique identifier for the newly created pipeline.

Edit a pipeline

Endpoint	HTTP Method
2.0/pipelines/{pipeline_id}	PUT

Updates the settings for an existing pipeline.

Example

This example adds a target parameter to the pipeline with ID a12cd3e4-0ab1-1abc-1a2b-1a2bcd3e4fg5:

Request

curl --netrc -X PUT \
https://<databricks-instance>/api/2.0/pipelines/a12cd3e4-0ab1-1abc-1a2b-1a2bcd3e4fg5 \
--data @pipeline-settings.json

pipeline-settings.json

{
  "id": "a12cd3e4-0ab1-1abc-1a2b-1a2bcd3e4fg5",
  "name": "Wikipedia pipeline (SQL)",
  "storage": "/Users/username/data",
  "clusters": [
    {
      "label": "default",
      "autoscale": {
        "min_workers": 1,
        "max_workers": 5,
        "mode": "ENHANCED"
      }
    }
  ],
  "libraries": [
    {
      "notebook": {
        "path": "/Users/username/DLT Notebooks/Delta Live Tables quickstart (SQL)"
      }
    }
  ],
  "target": "wikipedia_quickstart_data",
  "continuous": false
}

Replace:

• <databricks-instance> with the Databricks workspace instance name, for example 1234567890123456.7.gcp.databricks.com.

This example uses a .netrc file.

Request structure

See PipelineSettings.

Delete a pipeline

Endpoint	HTTP Method
2.0/pipelines/{pipeline_id}	DELETE

Deletes a pipeline from the Delta Live Tables system.

Example

This example deletes the pipeline with ID a12cd3e4-0ab1-1abc-1a2b-1a2bcd3e4fg5:

Request

curl --netrc -X DELETE \
https://<databricks-instance>/api/2.0/pipelines/a12cd3e4-0ab1-1abc-1a2b-1a2bcd3e4fg5

Replace:

• <databricks-instance> with the Databricks workspace instance name, for example 1234567890123456.7.gcp.databricks.com.

This example uses a .netrc file.

Start a pipeline update

Endpoint	HTTP Method
2.0/pipelines/{pipeline_id}/updates	POST

Starts an update for a pipeline. You can start an update for the entire pipeline graph, or a selective update of specific tables.

Examples

Start a full refresh

This example starts an update with full refresh for the pipeline with ID a12cd3e4-0ab1-1abc-1a2b-1a2bcd3e4fg5:

Request

curl --netrc -X POST \
https://<databricks-instance>/api/2.0/pipelines/a12cd3e4-0ab1-1abc-1a2b-1a2bcd3e4fg5/updates \
--data '{ "full_refresh": "true" }'

Replace:

• <databricks-instance> with the Databricks workspace instance name, for example 1234567890123456.7.gcp.databricks.com.

This example uses a .netrc file.

Response

{
  "update_id": "a1b23c4d-5e6f-78gh-91i2-3j4k5lm67no8",
  "request_id": "a1b23c4d-5e6f-78gh-91i2-3j4k5lm67no8"
}

Start an update of selected tables

This example starts an update that refreshes the sales_orders_cleaned and sales_order_in_chicago tables in the pipeline with ID a12cd3e4-0ab1-1abc-1a2b-1a2bcd3e4fg5:

Request

curl --netrc -X POST \
https://<databricks-instance>/api/2.0/pipelines/a12cd3e4-0ab1-1abc-1a2b-1a2bcd3e4fg5/updates \
--data '{ "refresh_selection": ["sales_orders_cleaned", "sales_order_in_chicago"] }'

Replace:

• <databricks-instance> with the Databricks workspace instance name, for example 1234567890123456.7.gcp.databricks.com.

This example uses a .netrc file.

Response

{
  "update_id": "a1b23c4d-5e6f-78gh-91i2-3j4k5lm67no8",
  "request_id": "a1b23c4d-5e6f-78gh-91i2-3j4k5lm67no8"
}

Start a full update of selected tables

This example starts an update of the sales_orders_cleaned and sales_order_in_chicago tables, and an update with full refresh of the customers and sales_orders_raw tables in the pipeline with ID a12cd3e4-0ab1-1abc-1a2b-1a2bcd3e4fg5.

Request

curl --netrc -X POST \
https://<databricks-instance>/api/2.0/pipelines/a12cd3e4-0ab1-1abc-1a2b-1a2bcd3e4fg5/updates \
--data '{ "refresh_selection": ["sales_orders_cleaned", "sales_order_in_chicago"], "full_refresh_selection": ["customers", "sales_orders_raw"] }'

Replace:

• <databricks-instance> with the Databricks workspace instance name, for example 1234567890123456.7.gcp.databricks.com.

This example uses a .netrc file.

Response

{
  "update_id": "a1b23c4d-5e6f-78gh-91i2-3j4k5lm67no8",
  "request_id": "a1b23c4d-5e6f-78gh-91i2-3j4k5lm67no8"
}

Request structure

Field Name	Type	Description
full_refresh	BOOLEAN	Whether to reprocess all data. If true, the Delta Live Tables system resets all tables that are resettable before running the pipeline. This field is optional. The default value is false. An error is returned if full_refesh is true and either refresh_selection or full_refresh_selection is set.
refresh_selection	An array of STRING	A list of tables to update. Use refresh_selection to start a refresh of a selected set of tables in the pipeline graph. This field is optional. If both refresh_selection and full_refresh_selection are empty, the entire pipeline graph is refreshed. An error is returned if: full_refesh is true and refresh_selection is set. One or more of the specified tables does not exist in the pipeline graph.
full_refresh_selection	An array of STRING	A list of tables to update with full refresh. Use full_refresh_selection to start an update of a selected set of tables. The states of the specified tables are reset before the Delta Live Tables system starts the update. This field is optional. If both refresh_selection and full_refresh_selection are empty, the entire pipeline graph is refreshed. An error is returned if: full_refesh is true and refresh_selection is set. One or more of the specified tables does not exist in the pipeline graph. One or more of the specified tables is not resettable.

Response structure

Field Name	Type	Description
update_id	STRING	The unique identifier of the newly created update.
request_id	STRING	The unique identifier of the request that started the update.

Get the status of a pipeline update request

Endpoint	HTTP Method
2.0/pipelines/{pipeline_id}/requests/{request_id}	GET

Gets the status and information for the pipeline update associated with request_id, where request_id is a unique identifier for the request initiating the pipeline update. If the update is retried or restarted, then the new update inherits the request_id.

Example

For the pipeline with ID a12cd3e4-0ab1-1abc-1a2b-1a2bcd3e4fg5, this example returns status and information for the update associated with request ID a83d9f7c-d798-4fd5-aa39-301b6e6f4429:

Request

curl --netrc -X GET \
https://<databricks-instance>/api/2.0/pipelines/a12cd3e4-0ab1-1abc-1a2b-1a2bcd3e4fg5/requests/a83d9f7c-d798-4fd5-aa39-301b6e6f4429

Replace:

• <databricks-instance> with the Databricks workspace instance name, for example 1234567890123456.7.gcp.databricks.com.

This example uses a .netrc file.

Response

{
   "status": "TERMINATED",
   "latest_update":{
     "pipeline_id": "a12cd3e4-0ab1-1abc-1a2b-1a2bcd3e4fg5",
     "update_id": "90da8183-89de-4715-b5a9-c243e67f0093",
     "config":{
       "id": "aae89b88-e97e-40c4-8e1a-1b7ac76657e8",
       "name": "Retail sales (SQL)",
       "storage": "/Users/username/data",
       "configuration":{
         "pipelines.numStreamRetryAttempts": "5"
       },
       "clusters":[
         {
           "label": "default",
           "autoscale":{
             "min_workers": 1,
             "max_workers": 5,
             "mode": "ENHANCED"
           }
         }
       ],
       "libraries":[
         {
           "notebook":{
             "path": "/Users/username/DLT Notebooks/Delta Live Tables quickstart (SQL)"
           }
         }
       ],
       "continuous": false,
       "development": true,
       "photon": true,
       "edition": "advanced",
       "channel": "CURRENT"
     },
     "cause": "API_CALL",
     "state": "COMPLETED",
     "cluster_id": "1234-567891-abcde123",
     "creation_time": 1664304117145,
     "full_refresh": false,
     "request_id": "a83d9f7c-d798-4fd5-aa39-301b6e6f4429"
   }
}

Response structure

Field Name	Type	Description
status	STRING	The status of the pipeline update request. One of ACTIVE: An update for this request is actively running or may be retried in a new update. TERMINATED: The request is terminated and will not be retried or restarted.
pipeline_id	STRING	The unique identifier of the pipeline.
update_id	STRING	The unique identifier of the update.
config	PipelineSettings	The pipeline settings.
cause	STRING	The trigger for the update. One of API_CALL, RETRY_ON_FAILURE, SERVICE_UPGRADE, SCHEMA_CHANGE, JOB_TASK, or USER_ACTION.
state	STRING	The state of the update. One of QUEUED, CREATED WAITING_FOR_RESOURCES, INITIALIZING, RESETTING, SETTING_UP_TABLES, RUNNING, STOPPING, COMPLETED, FAILED, or CANCELED.
cluster_id	STRING	The identifier of the cluster running the update.
creation_time	INT64	The timestamp when the update was created.
full_refresh	BOOLEAN	Whether this update resets all tables before running
refresh_selection	An array of STRING	A list of tables to update without full refresh.
full_refresh_selection	An array of STRING	A list of tables to update with full refresh.
request_id	STRING	The unique identifier of the request that started the update. This is the value returned by the update request. If the update is retried or restarted, then the new update inherits the request_id. However, the update_id will be different.

Stop any active pipeline update

Endpoint	HTTP Method
2.0/pipelines/{pipeline_id}/stop	POST

Stops any active pipeline update. If no update is running, this request is a no-op.

For a continuous pipeline, the pipeline execution is paused. Tables currently processing finish refreshing, but downstream tables are not refreshed. On the next pipeline update, Delta Live Tables performs a selected refresh of tables that did not complete processing, and resumes processing of the remaining pipeline DAG.

For a triggered pipeline, the pipeline execution is stopped. Tables currently processing finish refreshing, but downstream tables are not refreshed. On the next pipeline update, Delta Live Tables refreshes all tables.

Example

This example stops an update for the pipeline with ID a12cd3e4-0ab1-1abc-1a2b-1a2bcd3e4fg5:

Request

curl --netrc -X POST \
https://<databricks-instance>/api/2.0/pipelines/a12cd3e4-0ab1-1abc-1a2b-1a2bcd3e4fg5/stop

Replace:

• <databricks-instance> with the Databricks workspace instance name, for example 1234567890123456.7.gcp.databricks.com.

This example uses a .netrc file.

List pipeline events

Endpoint	HTTP Method
2.0/pipelines/{pipeline_id}/events	GET

Retrieves events for a pipeline.

Example

This example retrieves a maximum of 5 events for the pipeline with ID a12cd3e4-0ab1-1abc-1a2b-1a2bcd3e4fg5.

Request

curl --netrc -X GET \
https://<databricks-instance>/api/2.0/pipelines/a12cd3e4-0ab1-1abc-1a2b-1a2bcd3e4fg5/events?max_results=5

Replace:

• <databricks-instance> with the Databricks workspace instance name, for example 1234567890123456.7.gcp.databricks.com.

This example uses a .netrc file.

Request structure

Field Name	Type	Description
page_token	STRING	Page token returned by previous call. This field is mutually exclusive with all fields in this request except max_results. An error is returned if any fields other than max_results are set when this field is set. This field is optional.
max_results	INT32	The maximum number of entries to return in a single page. The system may return fewer than max_results events in a response, even if there are more events available. This field is optional. The default value is 25. The maximum value is 100. An error is returned if the value of max_results is greater than 100.
order_by	STRING	A string indicating a sort order by timestamp for the results, for example, ["timestamp asc"]. The sort order can be ascending or descending. By default, events are returned in descending order by timestamp. This field is optional.
filter	STRING	Criteria to select a subset of results, expressed using a SQL-like syntax. The supported filters are: level='INFO' (or WARN or ERROR) level in ('INFO', 'WARN') id='[event-id]' timestamp > 'TIMESTAMP' (or >=,<,<=,=) Composite expressions are supported, for example: level in ('ERROR', 'WARN') AND timestamp> '2021-07-22T06:37:33.083Z' This field is optional.

Response structure

Field Name	Type	Description
events	An array of pipeline events.	The list of events matching the request criteria.
next_page_token	STRING	If present, a token to fetch the next page of events.
prev_page_token	STRING	If present, a token to fetch the previous page of events.

Get pipeline details

Endpoint	HTTP Method
2.0/pipelines/{pipeline_id}	GET

Gets details about a pipeline, including the pipeline settings and recent updates.

Example

This example gets details for the pipeline with ID a12cd3e4-0ab1-1abc-1a2b-1a2bcd3e4fg5:

Request

curl --netrc -X GET \
https://<databricks-instance>/api/2.0/pipelines/a12cd3e4-0ab1-1abc-1a2b-1a2bcd3e4fg5

Replace:

• <databricks-instance> with the Databricks workspace instance name, for example 1234567890123456.7.gcp.databricks.com.

This example uses a .netrc file.

Response

{
  "pipeline_id": "a12cd3e4-0ab1-1abc-1a2b-1a2bcd3e4fg5",
  "spec": {
    "id": "a12cd3e4-0ab1-1abc-1a2b-1a2bcd3e4fg5",
    "name": "Wikipedia pipeline (SQL)",
    "storage": "/Users/username/data",
    "clusters": [
      {
        "label": "default",
        "autoscale": {
          "min_workers": 1,
          "max_workers": 5,
          "mode": "ENHANCED"
        }
      }
    ],
    "libraries": [
      {
        "notebook": {
          "path": "/Users/username/DLT Notebooks/Delta Live Tables quickstart (SQL)"
        }
      }
    ],
    "target": "wikipedia_quickstart_data",
    "continuous": false
  },
  "state": "IDLE",
  "cluster_id": "1234-567891-abcde123",
  "name": "Wikipedia pipeline (SQL)",
  "creator_user_name": "username",
  "latest_updates": [
    {
      "update_id": "8a0b6d02-fbd0-11eb-9a03-0242ac130003",
      "state": "COMPLETED",
      "creation_time": "2021-08-13T00:37:30.279Z"
    },
    {
      "update_id": "a72c08ba-fbd0-11eb-9a03-0242ac130003",
      "state": "CANCELED",
      "creation_time": "2021-08-13T00:35:51.902Z"
    },
    {
      "update_id": "ac37d924-fbd0-11eb-9a03-0242ac130003",
      "state": "FAILED",
      "creation_time": "2021-08-13T00:33:38.565Z"
    }
  ],
  "run_as_user_name": "username"
}

Response structure

Field Name	Type	Description
pipeline_id	STRING	The unique identifier of the pipeline.
spec	PipelineSettings	The pipeline settings.
state	STRING	The state of the pipeline. One of IDLE or RUNNING. If state = RUNNING, then there is at least one active update.
cluster_id	STRING	The identifier of the cluster running the pipeline.
name	STRING	The user-friendly name for this pipeline.
creator_user_name	STRING	The username of the pipeline creator.
latest_updates	An array of UpdateStateInfo	Status of the most recent updates for the pipeline, ordered with the newest update first.
run_as_user_name	STRING	The username that the pipeline runs as.

Get update details

Endpoint	HTTP Method
2.0/pipelines/{pipeline_id}/updates/{update_id}	GET

Gets details for a pipeline update.

Example

This example gets details for update 9a84f906-fc51-11eb-9a03-0242ac130003 for the pipeline with ID a12cd3e4-0ab1-1abc-1a2b-1a2bcd3e4fg5:

Request

curl --netrc -X GET \
https://<databricks-instance>/api/2.0/pipelines/a12cd3e4-0ab1-1abc-1a2b-1a2bcd3e4fg5/updates/9a84f906-fc51-11eb-9a03-0242ac130003

Replace:

• <databricks-instance> with the Databricks workspace instance name, for example 1234567890123456.7.gcp.databricks.com.

This example uses a .netrc file.

Response

{
  "update": {
    "pipeline_id": "a12cd3e4-0ab1-1abc-1a2b-1a2bcd3e4fg5",
    "update_id": "9a84f906-fc51-11eb-9a03-0242ac130003",
    "config": {
      "id": "a12cd3e4-0ab1-1abc-1a2b-1a2bcd3e4fg5",
      "name": "Wikipedia pipeline (SQL)",
      "storage": "/Users/username/data",
      "configuration": {
        "pipelines.numStreamRetryAttempts": "5"
      },
      "clusters": [
        {
          "label": "default",
          "autoscale": {
            "min_workers": 1,
            "max_workers": 5,
            "mode": "ENHANCED"
          }
        }
      ],
      "libraries": [
        {
          "notebook": {
            "path": "/Users/username/DLT Notebooks/Delta Live Tables quickstart (SQL)"
          }
        }
      ],
      "target": "wikipedia_quickstart_data",
      "continuous": false,
      "development": false
    },
    "cause": "API_CALL",
    "state": "COMPLETED",
    "creation_time": 1628815050279,
    "full_refresh": true,
    "request_id": "a83d9f7c-d798-4fd5-aa39-301b6e6f4429"
  }
}

Response structure

Field Name	Type	Description
pipeline_id	STRING	The unique identifier of the pipeline.
update_id	STRING	The unique identifier of this update.
config	PipelineSettings	The pipeline settings.
cause	STRING	The trigger for the update. One of API_CALL, RETRY_ON_FAILURE, SERVICE_UPGRADE.
state	STRING	The state of the update. One of QUEUED, CREATED WAITING_FOR_RESOURCES, INITIALIZING, RESETTING, SETTING_UP_TABLES, RUNNING, STOPPING, COMPLETED, FAILED, or CANCELED.
cluster_id	STRING	The identifier of the cluster running the pipeline.
creation_time	INT64	The timestamp when the update was created.
full_refresh	BOOLEAN	Whether this was a full refresh. If true, all pipeline tables were reset before running the update.

List pipelines

Endpoint	HTTP Method
2.0/pipelines/	GET

Lists pipelines defined in the Delta Live Tables system.

Example

This example retrieves details for pipelines where the name contains quickstart:

Request

curl --netrc -X GET \
https://<databricks-instance>/api/2.0/pipelines?filter=name%20LIKE%20%27%25quickstart%25%27

Replace:

• <databricks-instance> with the Databricks workspace instance name, for example 1234567890123456.7.gcp.databricks.com.

This example uses a .netrc file.

Response

{
  "statuses": [
    {
      "pipeline_id": "e0f01758-fc61-11eb-9a03-0242ac130003",
      "state": "IDLE",
      "name": "DLT quickstart (Python)",
      "latest_updates": [
        {
          "update_id": "ee9ae73e-fc61-11eb-9a03-0242ac130003",
          "state": "COMPLETED",
          "creation_time": "2021-08-13T00:34:21.871Z"
        }
      ],
      "creator_user_name": "username"
    },
    {
      "pipeline_id": "f4c82f5e-fc61-11eb-9a03-0242ac130003",
      "state": "IDLE",
      "name": "My DLT quickstart example",
      "creator_user_name": "username"
    }
  ],
  "next_page_token": "eyJ...==",
  "prev_page_token": "eyJ..x9"
}

Request structure

Field Name	Type	Description
page_token	STRING	Page token returned by previous call. This field is optional.
max_results	INT32	The maximum number of entries to return in a single page. The system may return fewer than max_results events in a response, even if there are more events available. This field is optional. The default value is 25. The maximum value is 100. An error is returned if the value of max_results is greater than 100.
order_by	An array of STRING	A list of strings specifying the order of results, for example, ["name asc"]. Supported order_by fields are id and name. The default is id asc. This field is optional.
filter	STRING	Select a subset of results based on the specified criteria. The supported filters are: "notebook='<path>'" to select pipelines that reference the provided notebook path. name LIKE '[pattern]' to select pipelines with a name that matches pattern. Wildcards are supported, for example: name LIKE '%shopping%' Composite filters are not supported. This field is optional.

Response structure

Field Name	Type	Description
statuses	An array of PipelineStateInfo	The list of events matching the request criteria.
next_page_token	STRING	If present, a token to fetch the next page of events.
prev_page_token	STRING	If present, a token to fetch the previous page of events.

Data structures

ClusterLogConf

Path to cluster log.

Field Name	Type	Description
	DbfsStorageInfo	DBFS location of cluster log. Destination must be provided. For example, { "dbfs" : { "destination" : "dbfs:/home/cluster_log" } }

DbfsStorageInfo

DBFS storage information.

Field Name	Type	Description
destination	STRING	DBFS destination. Example: dbfs:/my/path

Google Cloud attributes

Attributes set during cluster creation related to Google Cloud.

Field Name	Type	Description
use_preemptible_executors	BOOL	Use preemptible executors.
google_service_account	STRING	Google service account email address that the cluster uses to authenticate with Google Identity. This field is used for authentication with the GCS and BigQuery data sources.
boot_disk_size	INT32	Size, in GB, of the disk allocated to each instance. This value must be between 100 - 4096.

GCSStorageInfo

Google Cloud Storage (GCS) storage information.

Field Name	Type	Description
destination	STRING	File destination. Example: gs://...

InitScriptInfo

Path to an init script.

Field Name	Type	Description
workspace OR dbfs (deprecated) OR gcs	WorkspaceStorageInfo DbfsStorageInfo (deprecated) GCSStorageInfo	Workspace location of init script. Destination must be provided. For example, { "workspace" : { "destination" : "/Users/someone@domain.com/init_script.sh" } } (Deprecated) DBFS location of init script. Destination must be provided. For example, { "dbfs" : { "destination" : "dbfs:/home/init_script" } } Google Cloud Storage (GCS) location of init script. Destination must be provided. For example, { "gs": { "destination" : "gs://..." } }

KeyValue

A key-value pair that specifies configuration parameters.

Field Name	Type	Description
key	STRING	The configuration property name.
value	STRING	The configuration property value.

NotebookLibrary

A specification for a notebook containing pipeline code.

Field Name	Type	Description
path	STRING	The absolute path to the notebook. This field is required.

PipelinesAutoScale

Attributes defining an autoscaling cluster.

Field Name	Type	Description
min_workers	INT32	The minimum number of workers to which the cluster can scale down when underutilized. It is also the initial number of workers the cluster will have after creation.
max_workers	INT32	The maximum number of workers to which the cluster can scale up when overloaded. max_workers must be strictly greater than min_workers.
mode	STRING	The autoscaling mode for the cluster: ENHANCED to use enhanced autoscaling. LEGACY to use the cluster autoscaling functionality.

PipelineLibrary

A specification for pipeline dependencies.

Field Name	Type	Description
notebook	NotebookLibrary	The path to a notebook defining Delta Live Tables datasets. The path must be in the Databricks workspace, for example: { "notebook" : { "path" : "/my-pipeline-notebook-path" } }.

PipelinesNewCluster

A pipeline cluster specification.

The Delta Live Tables system sets the following attributes. These attributes cannot be configured by users:

• spark_version

Field Name	Type	Description
label	STRING	A label for the cluster specification, either default to configure the default cluster, or maintenance to configure the maintenance cluster. This field is optional. The default value is default.
spark_conf	KeyValue	An object containing a set of optional, user-specified Spark configuration key-value pairs. You can also pass in a string of extra JVM options to the driver and the executors via spark.driver.extraJavaOptions and spark.executor.extraJavaOptions respectively. Example Spark confs: {"spark.speculation": true, "spark.streaming.ui.retainedBatches": 5} or {"spark.driver.extraJavaOptions": "-verbose:gc -XX:+PrintGCDetails"}
gcp_attributes	Google Cloud attributes	Attributes related to clusters running on Google Cloud. If not specified at cluster creation, a set of default values will be used.
node_type_id	STRING	This field encodes, through a single value, the resources available to each of the Spark nodes in this cluster. For example, the Spark nodes can be provisioned and optimized for memory or compute intensive workloads A list of available node types can be retrieved by using the Clusters API call.
driver_node_type_id	STRING	The node type of the Spark driver. This field is optional; if unset, the driver node type will be set as the same value as node_type_id defined above.
ssh_public_keys	An array of STRING	SSH public key contents that will be added to each Spark node in this cluster. The corresponding private keys can be used to login with the user name ubuntu on port 2200. Up to 10 keys can be specified.
custom_tags	KeyValue	An object containing a set of tags for cluster resources. Databricks tags all cluster resources with these tags in addition to default_tags. Note: Tags are not supported on legacy node types such as compute-optimized and memory-optimized Databricks allows at most 45 custom tags.
cluster_log_conf	ClusterLogConf	The configuration for delivering Spark logs to a long-term storage destination. Only one destination can be specified for one cluster. If this configuration is provided, the logs will be delivered to the destination every 5 mins. The destination of driver logs is <destination>/<cluster-ID>/driver, while the destination of executor logs is <destination>/<cluster-ID>/executor.
spark_env_vars	KeyValue	An object containing a set of optional, user-specified environment variable key-value pairs. Key-value pairs of the form (X,Y) are exported as is (that is, export X='Y') while launching the driver and workers. In order to specify an additional set of SPARK_DAEMON_JAVA_OPTS, Databricks recommends appending them to $SPARK_DAEMON_JAVA_OPTS as shown in the following example. This ensures that all default Databricks managed environmental variables are included as well. Example Spark environment variables: {"SPARK_WORKER_MEMORY": "28000m", "SPARK_LOCAL_DIRS": "/local_disk0"} or {"SPARK_DAEMON_JAVA_OPTS": "$SPARK_DAEMON_JAVA_OPTS -Dspark.shuffle.service.enabled=true"}
init_scripts	An array of InitScriptInfo	The configuration for storing init scripts. Any number of destinations can be specified. The scripts are executed sequentially in the order provided. If cluster_log_conf is specified, init script logs are sent to <destination>/<cluster-ID>/init_scripts.
instance_pool_id	STRING	The optional ID of the instance pool to which the cluster belongs. See Pool configuration reference.
driver_instance_pool_id	STRING	The optional ID of the instance pool to use for the driver node. You must also specify instance_pool_id. See Instance Pools API.
policy_id	STRING	A cluster policy ID.
num_workers OR autoscale	INT32 OR InitScriptInfo	If num_workers, number of worker nodes that this cluster should have. A cluster has one Spark driver and num_workers executors for a total of num_workers + 1 Spark nodes. When reading the properties of a cluster, this field reflects the desired number of workers rather than the actual number of workers. For instance, if a cluster is resized from 5 to 10 workers, this field is updated to reflect the target size of 10 workers, whereas the workers listed in executors gradually increase from 5 to 10 as the new nodes are provisioned. If autoscale, parameters needed to automatically scale clusters up and down based on load. This field is optional.
apply_policy_default_values	BOOLEAN	Whether to use policy default values for missing cluster attributes.

PipelineSettings

The settings for a pipeline deployment.

Field Name	Type	Description
id	STRING	The unique identifier for this pipeline. The identifier is created by the Delta Live Tables system, and must not be provided when creating a pipeline.
name	STRING	A user-friendly name for this pipeline. This field is optional. By default, the pipeline name must be unique. To use a duplicate name, set allow_duplicate_names to true in the pipeline configuration.
storage	STRING	A path to a DBFS directory for storing checkpoints and tables created by the pipeline. This field is optional. The system uses a default location if this field is empty.
configuration	A map of STRING:STRING	A list of key-value pairs to add to the Spark configuration of the cluster that will run the pipeline. This field is optional. Elements must be formatted as key:value pairs.
clusters	An array of PipelinesNewCluster	An array of specifications for the clusters to run the pipeline. This field is optional. If this is not specified, the system will select a default cluster configuration for the pipeline.
libraries	An array of PipelineLibrary	The notebooks containing the pipeline code and any dependencies required to run the pipeline.
target	STRING	A database name for persisting pipeline output data. See Publish data from Delta Live Tables pipelines to the Hive metastore for more information.
continuous	BOOLEAN	Whether this is a continuous pipeline. This field is optional. The default value is false.
development	BOOLEAN	Whether to run the pipeline in development mode. This field is optional. The default value is false.
photon	BOOLEAN	Whether Photon acceleration is enabled for this pipeline. This field is optional. The default value is false.
channel	STRING	The Delta Live Tables release channel specifying the runtime version to use for this pipeline. Supported values are: preview to test the pipeline with upcoming changes to the Delta Live Tables runtime. current to use the current Delta Live Tables runtime version. This field is optional. The default value is current.
edition	STRING	The Delta Live Tables product edition to run the pipeline: CORE supports streaming ingest workloads. PRO also supports streaming ingest workloads and adds support for change data capture (CDC) processing. ADVANCED supports all the features of the PRO edition and adds support for workloads that require Delta Live Tables expectations to enforce data quality constraints. This field is optional. The default value is advanced.

PipelineStateInfo

The state of a pipeline, the status of the most recent updates, and information about associated resources.

Field Name	Type	Description
state	STRING	The state of the pipeline. One of IDLE or RUNNING.
pipeline_id	STRING	The unique identifier of the pipeline.
cluster_id	STRING	The unique identifier of the cluster running the pipeline.
name	STRING	The user-friendly name of the pipeline.
latest_updates	An array of UpdateStateInfo	Status of the most recent updates for the pipeline, ordered with the newest update first.
creator_user_name	STRING	The username of the pipeline creator.
run_as_user_name	STRING	The username that the pipeline runs as. This is a read only value derived from the pipeline owner.

UpdateStateInfo

The current state of a pipeline update.

Field Name	Type	Description
update_id	STRING	The unique identifier for this update.
state	STRING	The state of the update. One of QUEUED, CREATED, WAITING_FOR_RESOURCES, INITIALIZING, RESETTING, SETTING_UP_TABLES, RUNNING, STOPPING, COMPLETED, FAILED, or CANCELED.
creation_time	STRING	Timestamp when this update was created.

WorkspaceStorageInfo

Workspace storage information.

Field Name	Type	Description
destination	STRING	File destination. Example: /Users/someone@domain.com/init_script.sh