databricks-jobs

name	databricks-jobs
description	Manage Databricks Jobs via CLI. Use when user wants to: (1) Create, update, or delete job definitions (2) Run jobs or submit one-time runs (3) List jobs or get job details (4) Monitor runs, check status, or cancel Triggers: "databricks job", "create job", "run job", "job status", "list jobs", "cancel run"

Databricks Jobs CLI

Use databricks jobs --help for detailed flags.

List & Get

databricks jobs list
databricks jobs list --output json
databricks jobs get <job-id>
databricks jobs list --output json | jq '.jobs[] | select(.settings.name == "name")'

Create & Update

databricks jobs create --json @job.json
databricks jobs create --json '{"name": "x", "tasks": [...]}'
databricks jobs update <job-id> --json '{"name": "new-name"}'
databricks jobs reset --json '{"job_id": 123, "new_settings": {...}}'  # full replace
databricks jobs delete <job-id>

Run

databricks jobs run-now <job-id>
databricks jobs run-now <job-id> --json '{"notebook_params": {"p1": "v1"}}'
databricks jobs submit --json @run-config.json   # one-time run

Monitor

databricks jobs list-runs --job-id <job-id>
databricks jobs get-run <run-id>
databricks jobs get-run-output <run-id>
databricks jobs cancel-run <run-id>

Export/Import

databricks jobs get <job-id> --output json > backup.json
databricks jobs create --json @backup.json

References

• examples.md - Job JSON configs: notebook, python, multi-task DAG, schedules, cron patterns