ETL Processing on Google Cloud Using Dataflow and BigQuery (Python) Reviews

80312 reviews

Easy to understand. It was good to link the code with the visual pipeline on dataflow. Before this lab, I didn't know what runs under the hood.

Renan B. · Reviewed больше 3 лет ago

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Andrew K. · Reviewed больше 3 лет ago

A job cmd to create the ingest data table failed due to lack of resource in us-east4 zone. spending lots of time troubleshooting, and enough time to finish the lab. I had to fix the cmd to run it in another region us-east1 to pass the step. It would be better to provide some tips if unexpected errors happens and how to workaround it. python dataflow_python_examples/data_ingestion.py \ Here is the error INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-03-12_10_47_49-16096364461910794384 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-12T17:48:31.918Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-east4-c failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED: Instance 'beamapp-root-0312174747-5-03121047-burs-harness-w27q' creation failed: The zone 'projects/qwiklabs-gcp-02-2513142a1690/zones/us-east4-a' does not have enough resources available to fulfill the request. Try a different zone, or try again later. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-12T17:48:31.935Z: JOB_MESSAGE_ERROR: Workflow failed.

Steve L. · Reviewed больше 3 лет ago

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Дмитрий М. · Reviewed больше 3 лет ago

This was a very well executed lab....the job state language is different in the cloud shell for the "completed" vs "done" states than it is in the write up

Matthew O. · Reviewed больше 3 лет ago

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Sergio C. · Reviewed больше 3 лет ago

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