关于“Serverless Data Processing with Dataflow - Monitoring, Logging and Error Reporting for Dataflow Jobs”的评价

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Awesome Lab

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Manel C. · 已于 over 3 years前审核

Receive the following error when trying to run dataflow job in Step 4 of lab: WARNING:apache_beam.options.pipeline_options:Unable to create default GCS bucket. Traceback (most recent call last): File "/home/student_01_3efdb3c4c1f6/my_pipeline.py", line 50, in <module> run() File "/home/student_01_3efdb3c4c1f6/my_pipeline.py", line 40, in run p = beam.Pipeline(options=PipelineOptions(pipeline_args)) File "/home/student_01_3efdb3c4c1f6/.local/lib/python3.9/site-packages/apache_beam/pipeline.py", line 200, in __init__ raise ValueError( ValueError: Pipeline has validations errors: Invalid Project ID (). Please make sure you specified the Project ID, not project number. Missing GCS path option: temp_location. Missing GCS path option: staging_location.

lisa g. · 已于 over 3 years前审核

Gurpreet Singh S. · 已于 over 3 years前审核

error validation in the last step

Ryan Ozora H. · 已于 over 3 years前审核

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