Diagnose Job
A 3-step recipe with Google Cloud Dataflow. We can help you get access.
Recipe · 3 steps
Diagnose Job
Read job state, pull error messages, and inspect execution details.
- Read the job to capture its current state as the starting point for diagnosis.
- Retrieve the job status messages filtered to error importance to surface failures reported during execution.
- Pull the stage-level execution details for the job so failing stages and their progress can be identified.
What you'll need to have ready
- accessToken: Google Cloud OAuth 2.0 access token used as a Bearer credential.
- projectId: The Google Cloud project id that owns the job.
- location: The regional endpoint that contains the job (e.g. us-central1).
- jobId: The id of the job to diagnose.
For your developer
Arazzo workflow google-cloud-dataflow:diagnose-job, 3 operations: getLocationJob → listLocationJobMessages → getLocationJobExecutionDetails. Specs on APIs.io.