Serverless Data Processing with Dataflow - Writing an ETL Pipeline using Apache Beam and Dataflow (Python) Ulasan
11677 ulasan
Lingmin M. · Diulas sekitar 2 bulan lalu
Poor instructions - terrible!
Leighton C. · Diulas sekitar 2 bulan lalu
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. · Diulas sekitar 2 bulan lalu
Luis Antonio C. · Diulas sekitar 2 bulan lalu
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. · Diulas sekitar 2 bulan lalu
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. · Diulas sekitar 2 bulan lalu
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. · Diulas sekitar 2 bulan lalu
Luis Antonio C. · Diulas sekitar 2 bulan lalu
Charles F. · Diulas sekitar 2 bulan lalu
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. · Diulas sekitar 2 bulan lalu
konda l. · Diulas sekitar 2 bulan lalu
Jorge Alberto M. · Diulas sekitar 2 bulan lalu
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. · Diulas sekitar 2 bulan lalu
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. · Diulas sekitar 2 bulan lalu
Bartłomiej B. · Diulas sekitar 2 bulan lalu
Alice Wu 吳馨妤 E. · Diulas sekitar 2 bulan lalu
not enough recources to complete the lab
Stef v. · Diulas sekitar 2 bulan lalu
Sriyansh S. · Diulas sekitar 2 bulan lalu
Shaik S. · Diulas sekitar 2 bulan lalu
Too abstract
Anirban S. · Diulas sekitar 2 bulan lalu
EMIL-CRISTIAN C. · Diulas sekitar 2 bulan lalu
Ram krishna Reddy S. · Diulas sekitar 2 bulan lalu
Anatolii L. · Diulas sekitar 2 bulan lalu
Ram krishna Reddy S. · Diulas 2 bulan lalu
Ram krishna Reddy S. · Diulas 2 bulan lalu
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