Databricks

Clusters Commands

Create, configure, and manage Databricks clusters for running notebooks, jobs, and interactive workloads. Learn to optimize cluster configurations for cost and performance.

6 commands

Pro Tips

Use 'databricks clusters list --output JSON | jq' to parse cluster information programmatically.

Configure auto-termination to automatically stop idle clusters and reduce costs.

Use cluster pools to reduce cluster startup time by maintaining a pool of idle instances.

Common Mistakes

Running clusters incur costs even when idle. Always terminate clusters when not in use or enable auto-termination.

Changing cluster configuration requires a restart. Plan configuration changes during maintenance windows.

Commands

List all clusters

$ databricks clusters list

List all clusters in the workspace.

Get cluster info

$ databricks clusters get --cluster-id <cluster-id>

Get detailed information about a specific cluster.

Start cluster

$ databricks clusters start --cluster-id <cluster-id>

Start a terminated cluster.

Terminate cluster

$ databricks clusters delete --cluster-id <cluster-id>

Terminate a running cluster.

Create cluster from JSON

$ databricks clusters create --json-file cluster-config.json

Create a new cluster from a JSON configuration file.

Restart cluster

$ databricks clusters restart --cluster-id <cluster-id>

Restart a running cluster.