关于“Serverless Data Processing with Dataflow - Writing an ETL Pipeline using Apache Beam and Dataflow (Python)”的评价

Toby S. · 评论about 1 year之前

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Alejandro R. · 评论about 1 year之前

doing the fist write to sink was not possible. got a lot of errors. someone has to check the instructions.

Michael T. · 评论about 1 year之前

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Sandra Lorena C. · 评论about 1 year之前

Constantly kept getting the error : Startup of the worker pool in zone us-central1-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 'my-pipeline-......' creation failed: The zone 'projects/qwiklabs-gcp-01-...../zones/us-central1-c' does not have enough resources available to fulfill the request. Try a different zone, or try again later. I don't think the resources were allocated and there was some sort of org policy.

areeb p. · 评论about 1 year之前