Databricks

Databricks

Operate Databricks through your OOMOL-connected account. This skill calls the databricks connector with the oo CLI; OOMOL injects credentials server-side, so you never handle raw tokens.

Running an action

Assume the user has already installed the oo CLI, signed in, and connected Databricks. Do not run oo auth login or open the connection URL proactively — just run the action. Fall back to First-time setup only when a command actually fails with an auth or connection error.

1. Inspect the contract to get the authoritative input/output schema before building a payload:

oo connector schema "databricks" --action ""

2. Run the action with a JSON payload that matches the input schema:

oo connector run "databricks" --action "" --data '' --json

• --data takes a JSON object string or @path/to/file.json; omit it to send {}.
• The response is { "data": ..., "meta": { "executionId": "..." } }; the execution id lives under meta.executionId.

Each action is listed below with a one-line description; actions that change state carry a [write] or [destructive] tag. Before constructing --data, fetch the action's live schema with oo connector schema to get its authoritative input fields.

Available actions

• cancel_run — Cancel a Databricks job run by run ID. [write]
• create_cluster — Create a Databricks cluster from a raw official clusters create payload and return the new cluster ID. [write]
• create_job — Create a Databricks job from a raw official Jobs API settings object and return the new job ID. [write]
• create_repo — Create a Databricks workspace repo that links a Git remote into the connected workspace. [write]
• create_secret_scope — Create a Databricks secret scope with an optional backend configuration and initial manager principal. [write]
• delete_job — Delete a Databricks job by ID. [destructive]
• delete_repo — Delete a Databricks workspace repo by repo ID. [destructive]
• delete_secret — Delete one Databricks secret value from a Databricks secret scope. [destructive]
• delete_secret_scope — Delete a Databricks secret scope by scope name. [destructive]
• edit_cluster — Edit an existing Databricks cluster by cluster ID using a raw official clusters edit payload. [write]
• get_cluster — Get one Databricks cluster by cluster ID.
• get_current_user — Get the current Databricks workspace principal profile for the connected personal access token.
• get_job — Get one Databricks job, including its current settings and optional continuation page token.
• get_run_by_id — Get one Databricks job run by run ID.
• get_run_output — Get the output payload for one Databricks run, including notebook output or error details when available.
• list_cluster_node_types — List Databricks cluster node types that are available in the connected workspace region.
• list_cluster_spark_versions — List Databricks Runtime and Spark versions that can be used when creating or editing clusters.
• list_cluster_zones — List Databricks cluster availability zones for the connected workspace when the API is supported.
• list_clusters — List Databricks clusters with optional paging, filtering, and sorting controls from the official clusters API.
• list_jobs — List Databricks jobs in the connected workspace with optional pagination, name filtering, and task expansion.
• list_runs — List Databricks job runs with optional job, state, time-range, and pagination filters.
• list_secret_scopes — List Databricks secret scopes in the connected workspace.
• list_secrets — List Databricks secret metadata rows in one secret scope.
• permanent_delete_cluster — Permanently delete a Databricks cluster by cluster ID. [destructive]
• put_secret — Create or overwrite a Databricks secret value inside one Databricks secret scope. [write]
• run_now_job — Trigger an immediate run for a Databricks job with optional parameter maps and idempotency token.
• start_cluster — Start a terminated Databricks cluster by cluster ID. [write]
• submit_run — Submit a one-time Databricks run from a raw official Jobs API submit payload and return the run ID. [write]
• update_job_by_id — Update an existing Databricks job by ID using the official partial-update payload fields. [write]
• update_repo — Update a Databricks workspace repo by switching branch or tag, or by changing sparse-checkout settings. [write]
• workspace_delete — Delete a Databricks workspace object or directory by absolute path. [destructive]
• workspace_export — Export one Databricks workspace object as base64 content or direct text content, depending on the export mode.
• workspace_get_status — Get metadata for one Databricks workspace object by absolute path.
• workspace_import — Import base64 content into the Databricks workspace at an absolute path. [write]
• workspace_list — List the direct Databricks workspace objects under a workspace path.
• workspace_mkdirs — Create a Databricks workspace directory, including any missing parent directories.

Safety

• Untagged actions are reads (get / list / search) — safe to run directly.
• Actions tagged [write] change Databricks state — confirm the exact payload and effect with the user before running.
• Actions tagged [destructive] remove or overwrite data — always confirm the target and get explicit approval first.

First-time setup

These are one-time steps — do not repeat them on every call. Run a step only when a command fails for the matching reason.

• oo: command not found — install the oo CLI (other platforms: ):

  curl -fsSL https://cli.oomol.com/install.sh | bash    # macOS / Linux
  

  irm https://cli.oomol.com/install.ps1 | iex           # Windows PowerShell
  

• Not signed in / authentication error — sign in to your OOMOL account once:

  oo auth login
  

• scope_missing / credential_expired / app_not_ready / app_not_found — Databricks is not connected, or the connection expired or lacks a scope. Connect once (auth type: API key) at:

  https://console.oomol.com/app-connections?provider=databricks
  

• HTTP 402 / OOMOL_INSUFFICIENT_CREDIT — billing stop. Recharge at https://console.oomol.com/billing/token-recharge before retrying.

Resources

• Databricks homepage: https://www.databricks.com