关于“使用 Dataflow 和 BigQuery (Python) 在 Google Cloud 上进行 ETL 处理”的评价

Nikita K. · 已于 over 3 years前审核

Tomáš J. · 已于 over 3 years前审核

2022-10-10 16:40:06.986 ISTStartup of the worker pool in zone us-east4-a 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-1010110850-2-10100409-oyvo-harness-fp67' creation failed: The zone 'projects/qwiklabs-gcp-03-03089fccd8cc/zones/us-east4-a' does not have enough resources available to fulfill the request. Try a different zone, or try again later.

Abhishek S. · 已于 over 3 years前审核

issue with in step Use the gsutil command to copy files into the Cloud Storage bucket you just created. Second lab where "end and start again" by recomendation from support is workaround

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