关于“在 Google Cloud 上使用 Dataflow 和 BigQuery 處理 ETL 作業 (Python)”的评价

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Kshitija B. · 评论over 1 year之前

tallapally g. · 评论over 1 year之前

one of the commands is missing a default setting and fails

Chris D. · 评论over 1 year之前

good lab

Adhi K. · 评论over 1 year之前

尚太 神. · 评论over 1 year之前

Benjamin S. · 评论over 1 year之前

Ezequiel R. · 评论over 1 year之前

Serhii K. · 评论over 1 year之前

Shalin M. · 评论over 1 year之前

christian m. · 评论over 1 year之前

Christian F. · 评论over 1 year之前

I have problem with the Console, when I was on the docker container with python, on the second step to run the data_trasformation.py script, I kept having this message: root@48034960a23f:/dataflow# python dataflow_python_examples/data_transformation.py --project=$PROJECT --region=us-east4 --runner=DataflowRunner --machine_type=e2-standard-2 --staging_location=gs://$PROJECT/test --temp_location gs: //$PROJECT/test --input gs://$PROJECT/data_files/head_usa_names.csv --save_main_session Traceback (most recent call last): File "dataflow_python_examples/data_transformation.py", line 166, in <module> run() File "dataflow_python_examples/data_transformation.py", line 132, in run p = beam.Pipeline(options=PipelineOptions(pipeline_args)) File "/usr/local/lib/python3.8/site-packages/apache_beam/pipeline.py", line 212, in __init__ raise ValueError( ValueError: Pipeline has validations errors: Invalid GCS path (gs:///test), given for the option: temp_location. Invalid GCS path (gs:///test), given for the option: staging_location. Invalid Project ID (). Please make sure you specified the Project ID, not project number. So i Had to start from the beggining again, and this made me unable to finish the lab on time!! What do I have to do now with my credits to redo this lab??

Almudena O. · 评论over 1 year之前

Yves E. · 评论over 1 year之前

Béla K. · 评论over 1 year之前

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MOISES ALFONSO G. · 评论over 1 year之前

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