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

11678 条评价

Lingmin M. · 已于 about 2 months前审核

Lingmin M. · 已于 about 2 months前审核

Poor instructions - terrible!

Leighton C. · 已于 about 2 months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 about 2 months前审核

Luis Antonio C. · 已于 about 2 months前审核

In the Python script, allow users to pass alternative machine types, so there is no possibility of being unable to complete the lab due to insufficient resources being available (for N1?)

Felix V. · 已于 about 2 months前审核

1. There are 2 issues running the lab: - lab 1: apache_beam.io.filesystem.BeamIOError: Match operation failed with exceptions {'gs://qwiklabs-gcp-04-9d1f7241cd59/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 - lab 2 Startup of the worker pool in us-central1 failed to bring up any of the desired 1 workers P.S. Not working http.client transport only supports the http scheme, httpswas specified P.S.S. export GCE_METADATA_MTLS_MODE=none resolves an issue with certificate. But still insufficient resources to run the job.

Igor P. · 已于 about 2 months前审核

1. There are 2 issues running the lab: - lab 1: apache_beam.io.filesystem.BeamIOError: Match operation failed with exceptions {'gs://qwiklabs-gcp-04-9d1f7241cd59/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 - lab 2 Startup of the worker pool in us-central1 failed to bring up any of the desired 1 workers P.S. Not working http.client transport only supports the http scheme, httpswas specified

Igor P. · 已于 about 2 months前审核

Luis Antonio C. · 已于 about 2 months前审核

Charles F. · 已于 about 2 months前审核

Too much confuse the Python file and Instructions were not clear to proceed and modify the files. The code is running with errors. Need support.

Venkateswarlu Kuriseti N. · 已于 about 2 months前审核

konda l. · 已于 about 2 months前审核

Jorge Alberto M. · 已于 about 2 months前审核

There is currently an issue with google.auth library (https://github.com/googleapis/google-cloud-python/issues/16090) that prevents me from finishing the lab - took a long time to find the root couse and I run out of time. Additionally, the worker zones and machine types have to be specified because without them the dataflow cannot spawn workers and jobs keep failing.

Przemyslaw S. · 已于 about 2 months前审核

1. There are 2 issues running the lab: - lab 1: apache_beam.io.filesystem.BeamIOError: Match operation failed with exceptions {'gs://qwiklabs-gcp-04-9d1f7241cd59/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 - lab 2 Startup of the worker pool in us-central1 failed to bring up any of the desired 1 workers

Igor P. · 已于 about 2 months前审核

Bartłomiej B. · 已于 about 2 months前审核

Alice Wu 吳馨妤 E. · 已于 about 2 months前审核

not enough recources to complete the lab

Stef v. · 已于 about 2 months前审核

Sriyansh S. · 已于 about 2 months前审核

Shaik S. · 已于 about 2 months前审核

Too abstract

Anirban S. · 已于 about 2 months前审核

EMIL-CRISTIAN C. · 已于 about 2 months前审核

Ram krishna Reddy S. · 已于 about 2 months前审核

Anatolii L. · 已于 about 2 months前审核

Ram krishna Reddy S. · 已于 2 months前审核

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