Serverless Data Processing with Dataflow - Writing an ETL Pipeline using Apache Beam and Dataflow (Python) Reviews
11519 reviews
Daniel A. · Reviewed 9 дней ago
Connection errors
Yvonne D. · Reviewed 10 дней ago
Wei Z. · Reviewed 11 дней ago
SSL certificate verify failed error prevented me from completing the lab
Brian H. · Reviewed 11 дней ago
Wei Z. · Reviewed 11 дней ago
Wei Z. · Reviewed 11 дней ago
Harsh A. · Reviewed 11 дней ago
Leonardo S. · Reviewed 11 дней ago
Unsure how to resolve error when running pipeline WARNING:google.auth.compute engine.metadata:Compute Engine Metadata server unavailable on attempt 1 of 3. Reason: http.client transport only supports the http scheme, https is specified
Ivan L. · Reviewed 11 дней ago
the lab cfails to provission workers to the dataflow jobs, no matter if the machine types are stated explicitely.
Iván Marcelo U. · Reviewed 11 дней ago
Yan H. · Reviewed 11 дней ago
Svetak S. · Reviewed 12 дней ago
Francisco M. · Reviewed 12 дней ago
Leonardo M. · Reviewed 13 дней ago
Issue with the project id. There is no parent organization to select.
Vanitha H. · Reviewed 13 дней ago
médiocre
Kasraoui W. · Reviewed 13 дней ago
Igor d. · Reviewed 13 дней ago
Ana N. · Reviewed 14 дней ago
having error on Run your pipeline task, even using the solution code provided in the lab. Traceback (most recent call last): File "/home/jupyter/training-data-analyst/quests/dataflow_python/1_Basic_ETL/lab/my_pipeline.py", line 108, in <module> run() File "/home/jupyter/training-data-analyst/quests/dataflow_python/1_Basic_ETL/lab/my_pipeline.py", line 92, in run | 'ReadFromGCS' >> beam.io.ReadFromText(input) File "/home/jupyter/training-data-analyst/quests/dataflow_python/1_Basic_ETL/lab/df-env/lib/python3.10/site-packages/apache_beam/io/textio.py", line 808, in __init__ self._source = self._source_class( File "/home/jupyter/training-data-analyst/quests/dataflow_python/1_Basic_ETL/lab/df-env/lib/python3.10/site-packages/apache_beam/io/textio.py", line 144, in __init__ super().__init__( File "/home/jupyter/training-data-analyst/quests/dataflow_python/1_Basic_ETL/lab/df-env/lib/python3.10/site-packages/apache_beam/io/filebasedsource.py", line 127, in __init__ self._validate() File "/home/jupyter/training-data-analyst/quests/dataflow_python/1_Basic_ETL/lab/df-env/lib/python3.10/site-packages/apache_beam/options/value_provider.py", line 193, in _f return fnc(self, *args, **kwargs) File "/home/jupyter/training-data-analyst/quests/dataflow_python/1_Basic_ETL/lab/df-env/lib/python3.10/site-packages/apache_beam/io/filebasedsource.py", line 190, in _validate match_result = FileSystems.match([pattern], limits=[1])[0] File "/home/jupyter/training-data-analyst/quests/dataflow_python/1_Basic_ETL/lab/df-env/lib/python3.10/site-packages/apache_beam/io/filesystems.py", line 240, in match return filesystem.match(patterns, limits) File "/home/jupyter/training-data-analyst/quests/dataflow_python/1_Basic_ETL/lab/df-env/lib/python3.10/site-packages/apache_beam/io/filesystem.py", line 779, in match raise BeamIOError("Match operation failed", exceptions) apache_beam.io.filesystem.BeamIOError: Match operation failed with exceptions {'gs://qwiklabs-gcp-02-c763640af21b/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 (_ssl.c:1017)')))"))}
yumeng y. · Reviewed 14 дней ago
proper folders were not cloned for all the tasks
Shaik S. · Reviewed 14 дней ago
Sriyansh S. · Reviewed 14 дней ago
Sriyansh S. · Reviewed 14 дней ago
Luis Antonio C. · Reviewed 14 дней ago
Jyoti S. · Reviewed 14 дней ago
Luis Antonio C. · Reviewed 14 дней ago
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