Traitement de données sans serveur avec Dataflow : écrire un pipeline ETL à l'aide d'Apache Beam et de Dataflow (Python) avis

Lingmin M. · Examiné il y a environ 2 mois

Poor instructions - terrible!

Leighton C. · Examiné il y a environ 2 mois

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. · Examiné il y a environ 2 mois

Luis Antonio C. · Examiné il y a environ 2 mois

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. · Examiné il y a environ 2 mois

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. · Examiné il y a environ 2 mois

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. · Examiné il y a environ 2 mois

Luis Antonio C. · Examiné il y a environ 2 mois

Charles F. · Examiné il y a environ 2 mois

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. · Examiné il y a environ 2 mois

konda l. · Examiné il y a environ 2 mois

Jorge Alberto M. · Examiné il y a environ 2 mois

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. · Examiné il y a environ 2 mois

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. · Examiné il y a environ 2 mois

Bartłomiej B. · Examiné il y a environ 2 mois

Alice Wu 吳馨妤 E. · Examiné il y a environ 2 mois

not enough recources to complete the lab

Stef v. · Examiné il y a environ 2 mois

Sriyansh S. · Examiné il y a environ 2 mois

Shaik S. · Examiné il y a environ 2 mois

Too abstract

Anirban S. · Examiné il y a environ 2 mois

EMIL-CRISTIAN C. · Examiné il y a environ 2 mois

Ram krishna Reddy S. · Examiné il y a environ 2 mois

Anatolii L. · Examiné il y a environ 2 mois

Ram krishna Reddy S. · Examiné il y a 2 mois