Opiniones sobre Procesamiento de datos sin servidores con Dataflow: Cómo escribir una canalización de ETL con Apache Beam y Dataflow (Python)
11773 opiniones
Luis Antonio C. · Se revisó hace 2 meses
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. · Se revisó hace 2 meses
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. · Se revisó hace 2 meses
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. · Se revisó hace 2 meses
Luis Antonio C. · Se revisó hace 3 meses
Charles F. · Se revisó hace 3 meses
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. · Se revisó hace 3 meses
konda l. · Se revisó hace 3 meses
Jorge Alberto M. · Se revisó hace 3 meses
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. · Se revisó hace 3 meses
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. · Se revisó hace 3 meses
Bartłomiej B. · Se revisó hace 3 meses
Alice Wu 吳馨妤 E. · Se revisó hace 3 meses
not enough recources to complete the lab
Stef v. · Se revisó hace 3 meses
Sriyansh S. · Se revisó hace 3 meses
Shaik S. · Se revisó hace 3 meses
Too abstract
Anirban S. · Se revisó hace 3 meses
EMIL-CRISTIAN C. · Se revisó hace 3 meses
Ram krishna Reddy S. · Se revisó hace 3 meses
Anatolii L. · Se revisó hace 3 meses
Ram krishna Reddy S. · Se revisó hace 3 meses
Ram krishna Reddy S. · Se revisó hace 3 meses
Ram krishna Reddy S. · Se revisó hace 3 meses
don't have enough resources to create pipeline
Anatolii L. · Se revisó hace 3 meses
Ram krishna Reddy S. · Se revisó hace 3 meses
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