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

Can I add ZERO stars here? This lab is terrible.

Dessa O. · 评论9 days之前

Jackie D. · 评论10 days之前

wasnt able to create the instance due resource limits

Virginia M. · 评论10 days之前

My conclusion from this lab is that I should not use or depend on this type of platform for production loads. It if does not even work in a controlled lab, then production is a no-go! ERROR:apache_beam.runners.dataflow.dataflow_runner:2026-04-01T09:25:07.346Z: JOB_MESSAGE_ERROR: Startup of the worker pool in us-central1 failed to bring up any of the desired 1 workers. This is likely a quota issue or a Compute Engine stockout. The service will retry. For troubleshooting steps, see https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED: Instance 'my-pipeline-1775035379230-04010223-mm24-harness-86c2' creation failed: The zone 'projects/qwiklabs-gcp-02-e142b19585b8/zones/us-central1-a' does not have enough resources available to fulfill the request. Try a different zone, or try again later.

Mikael W. · 评论11 days之前

Sriyansh S. · 评论11 days之前

Harsh A. · 评论11 days之前

Harsh A. · 评论11 days之前

Not clear

Shitab T. · 评论11 days之前

Mohamed A. · 评论11 days之前

Logan S. · 评论11 days之前

Gustavo L. · 评论11 days之前

Martin G. · 评论12 days之前

Trying to run the job fails with SSL cert error

Fernanda C. · 评论12 days之前

Daniel A. · 评论12 days之前

Connection errors

Yvonne D. · 评论13 days之前

Wei Z. · 评论13 days之前

SSL certificate verify failed error prevented me from completing the lab

Brian H. · 评论13 days之前

Wei Z. · 评论13 days之前

Wei Z. · 评论13 days之前

Harsh A. · 评论14 days之前

Leonardo S. · 评论14 days之前

Unsure how to resolve error when running pipeline WARNING:google.auth.compute engine.metadata:Compute Engine Metadata server unavailable on attempt 1 of 3. Reason: http.client transport only supports the http scheme, https is specified

Ivan L. · 评论14 days之前

the lab cfails to provission workers to the dataflow jobs, no matter if the machine types are stated explicitely.

Iván Marcelo U. · 评论14 days之前

Yan H. · 评论14 days之前

Svetak S. · 评论14 days之前