A Dataflow batch pipeline was launched yesterday, but it appears to be stalled. You need to verify its current state and retrieve detailed diagnostics from the Google Cloud CLI before deciding whether to cancel it. The engineer who started the job hands you the numeric job ID and the region (us-central1). Which CLI command gives you the most complete status information in a single request?
gcloud dataflow jobs describe JOB_ID --region=us-central1
bq show --job JOB_ID
gcloud dataflow jobs list --filter="jobId=JOB_ID" --region=us-central1
gcloud logging read "resource.type=dataflow_step AND resource.labels.job_id=JOB_ID" --limit=1
The gcloud dataflow jobs describe command returns a comprehensive JSON description for a single job, including its current state (e.g., RUNNING, FAILED), creation time, execution details, and any encountered errors. Supplying the --region flag ensures the request is routed to the correct regional endpoint. Listing jobs with filters can show status but not full diagnostics, the bq show command only applies to BigQuery jobs, and using gcloud logging read requires crafting a log filter and still will not summarise job metadata in one response.
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What is Google Cloud Dataflow used for in GCP?
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Why is the --region flag important when running gcloud commands?
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What makes the gcloud dataflow jobs describe command most effective for diagnostics?
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What is Google Dataflow?
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What does the `gcloud dataflow jobs describe` command do?
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Why do we need the --region flag in the CLI command?
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