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

Frederic F. · 评论9 months之前

Kalpana V. · 评论9 months之前

NA

Chinki G. · 评论9 months之前

Abdul Basith A. · 评论9 months之前

Abiy T. · 评论9 months之前

Smita W. · 评论9 months之前

Boone H. · 评论9 months之前

Yashraj C. · 评论9 months之前

David Israel P. · 评论9 months之前

1 hr seem to be less giving the time it takes to run many jobs. Following fails - python dataflow_python_examples/data_lake_to_mart.py \ --worker_disk_type="compute.googleapis.com/projects//zones//diskTypes/pd-ssd" \ --max_num_workers=4 \ --project=$PROJECT \ --runner=DataflowRunner \ --machine_type=e2-standard-2 \ --staging_location=gs://$PROJECT/test \ --temp_location gs://$PROJECT/test \ --save_main_session \ --region=REGION I tried twice. Any help would be much appreciated. Regards Atul

atul k. · 评论9 months之前

Riyaz A. · 评论9 months之前

NA

Nenavath R. · 评论9 months之前

由希奈 高. · 评论9 months之前

GABRIELA M. · 评论9 months之前

GABRIELA M. · 评论9 months之前

Jefferson Codolo G. · 评论9 months之前

Yun W. · 评论9 months之前

Siddhraj Subhash G. · 评论9 months之前

Karthika P. · 评论9 months之前

Kumar V. · 评论9 months之前

muhammad t. · 评论9 months之前

sanket j. · 评论9 months之前

Ruchi A. · 评论9 months之前

Madan B. · 评论9 months之前

Dharmesh V. · 评论9 months之前