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

Connection errors

Yvonne D. · 已于 20 minutes前审核

Connection errors

Yvonne D. · 已于 1 hour前审核

didnt work

SEBASTIAN FERNANDO M. · 已于 4 hours前审核

keep on getting same error when trying to do task 6: startup of the worker pool in us-central-*whatever zone i change to* failed to bring up any of desired 1 workers. no matter which zone i change to!

Simon K. · 已于 7 hours前审核

Could not complete Part1 Task 6 run the pipeline (using the provided Solution code) due to the following error: raise BeamIOError("Match operation failed", exceptions) apache_beam.io.filesystem.BeamIOError: Match operation failed with exceptions {'gs://qwiklabs-gcp-00-f5855126f119/events.json': RefreshError(TransportError("Failed to retrieve https://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/?recursive=true from the Google Compute Engine metadata service. Compute Engine Metadata server unavailable. Last exception: HTTPSConnectionPool(host='metadata.google.internal', port=443): Max retries exceeded with url: /computeMetadata/v1/instance/service-accounts/default/?recursive=true (Caused by SSLError(SSLCertVerificationError(1, '[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1017)')))"))}; time is too short to complete part1&part2 together.

Lingmin M. · 已于 7 hours前审核

Too complicated.

Sergi F. · 已于 16 hours前审核

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

Dessa O. · 已于 16 hours前审核

Jackie D. · 已于 1 day前审核

wasnt able to create the instance due resource limits

Virginia M. · 已于 1 day前审核

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. · 已于 2 days前审核

Sriyansh S. · 已于 2 days前审核

Harsh A. · 已于 2 days前审核

Harsh A. · 已于 2 days前审核

Not clear

Shitab T. · 已于 2 days前审核

Mohamed A. · 已于 2 days前审核

Logan S. · 已于 2 days前审核

Gustavo L. · 已于 2 days前审核

Martin G. · 已于 3 days前审核

Trying to run the job fails with SSL cert error

Fernanda C. · 已于 3 days前审核

Daniel A. · 已于 3 days前审核

Connection errors

Yvonne D. · 已于 4 days前审核

Wei Z. · 已于 4 days前审核

SSL certificate verify failed error prevented me from completing the lab

Brian H. · 已于 5 days前审核

Wei Z. · 已于 5 days前审核

Wei Z. · 已于 5 days前审核