subcategory
Compute

databricks_clusters Data Source

-> Note If you have a fully automated setup with workspaces created by databricks_mws_workspaces or azurerm_databricks_workspace, please make sure to add depends_on attribute in order to prevent default auth: cannot configure default credentials errors.

Retrieves a list of databricks_cluster ids, that were created by Terraform or manually, with or without databricks_cluster_policy.

Example Usage

Retrieve cluster IDs for all clusters:

data "databricks_clusters" "all" {
}

Retrieve cluster IDs for all clusters having "Shared" in the cluster name:

data "databricks_clusters" "all_shared" {
  cluster_name_contains = "shared"
}

cluster_name_contains - (Optional) Only return databricks_cluster ids that match the given name string.
filter_by - (Optional) Filters to apply to the listed clusters. See filter_by Configuration Block below for details.

The filter_by block controls the filtering of the listed clusters. It supports the following arguments:

cluster_sources - (Optional) List of cluster sources to filter by. Possible values are API, JOB, MODELS, PIPELINE, PIPELINE_MAINTENANCE, SQL, and UI.
cluster_states - (Optional) List of cluster states to filter by. Possible values are RUNNING, PENDING, RESIZING, RESTARTING, TERMINATING, TERMINATED, ERROR, and UNKNOWN.
is_pinned - (Optional) Whether to filter by pinned clusters.
policy_id - (Optional) Filter by databricks_cluster_policy id.

This data source exports the following attributes:

The following resources are used in the same context:

End to end workspace management guide.
databricks_cluster to create Databricks Clusters.
databricks_cluster_policy to create a databricks_cluster policy, which limits the ability to create clusters based on a set of rules.
databricks_instance_pool to manage instance pools to reduce cluster start and auto-scaling times by maintaining a set of idle, ready-to-use instances.
databricks_job to manage Databricks Jobs to run non-interactive code in a databricks_cluster.
databricks_library to install a library on databricks_cluster.
databricks_pipeline to deploy Delta Live Tables.