Serverless Data Processing with Dataflow - Writing an ETL Pipeline using Apache Beam and Dataflow (Python) recensioni

Lingmin M. · Recensione inserita circa 2 mesi fa

Poor instructions - terrible!

Leighton C. · Recensione inserita circa 2 mesi fa

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. · Recensione inserita circa 2 mesi fa

Luis Antonio C. · Recensione inserita circa 2 mesi fa

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. · Recensione inserita circa 2 mesi fa

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. · Recensione inserita circa 2 mesi fa

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. · Recensione inserita circa 2 mesi fa

Luis Antonio C. · Recensione inserita circa 2 mesi fa

Charles F. · Recensione inserita circa 2 mesi fa

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. · Recensione inserita circa 2 mesi fa

konda l. · Recensione inserita circa 2 mesi fa

Jorge Alberto M. · Recensione inserita circa 2 mesi fa

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. · Recensione inserita circa 2 mesi fa

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. · Recensione inserita circa 2 mesi fa

Bartłomiej B. · Recensione inserita circa 2 mesi fa

Alice Wu 吳馨妤 E. · Recensione inserita circa 2 mesi fa

not enough recources to complete the lab

Stef v. · Recensione inserita circa 2 mesi fa

Sriyansh S. · Recensione inserita circa 2 mesi fa

Shaik S. · Recensione inserita circa 2 mesi fa

Too abstract

Anirban S. · Recensione inserita circa 2 mesi fa

EMIL-CRISTIAN C. · Recensione inserita circa 2 mesi fa

Ram krishna Reddy S. · Recensione inserita circa 2 mesi fa

Anatolii L. · Recensione inserita circa 2 mesi fa

Ram krishna Reddy S. · Recensione inserita 2 mesi fa