ETL Processing on Google Cloud Using Dataflow and BigQuery (Python) Reviews
80300 reviews
Aditya k. · Reviewed over 5 years ago
Yue X. · Reviewed over 5 years ago
Ebin P. · Reviewed over 5 years ago
Jacky L. · Reviewed over 5 years ago
Chanyoung Park 박. · Reviewed over 5 years ago
佳代子 竹. · Reviewed over 5 years ago
Sri Harsha P. · Reviewed over 5 years ago
Muntakimur R. · Reviewed over 5 years ago
David Leonardo D. · Reviewed over 5 years ago
Again ran this lab and follow all the instruction. Checked all the permissions are in place but still dataflow job failed with below error: Workflow failed. Causes: There was a problem refreshing your credentials. Please check: 1. Dataflow API is enabled for your project. 2. Make sure both the Dataflow service account and the controller service account have sufficient permissions. If you are not specifying a controller service account, ensure the default Compute Engine service account [PROJECT_NUMBER]-compute@developer.gserviceaccount.com exists and has sufficient permissions. If you have deleted the default Com pute Engine service account, you must specify a controller service account. For more information, see: https://cloud.google.com/dataflow/docs/concepts/security-and-permissio ns#security_and_permissions_for_pipelines_on_google_cloud_platform. , There is no cloudservices robot account for your project. Please ensure that the Dataflow API is enabl ed for your project.
Rakesh C. · Reviewed over 5 years ago
Yi M. · Reviewed over 5 years ago
Chirag S. · Reviewed over 5 years ago
Krithika M. · Reviewed over 5 years ago
Miguel G. · Reviewed over 5 years ago
Again ran this lab and follow all the instruction. Checked all the permissions are in place but still dataflow job failed with below error: Workflow failed. Causes: There was a problem refreshing your credentials. Please check: 1. Dataflow API is enabled for your project. 2. Make sure both the Dataflow service account and the controller service account have sufficient permissions. If you are not specifying a controller service account, ensure the default Compute Engine service account [PROJECT_NUMBER]-compute@developer.gserviceaccount.com exists and has sufficient permissions. If you have deleted the default Com pute Engine service account, you must specify a controller service account. For more information, see: https://cloud.google.com/dataflow/docs/concepts/security-and-permissio ns#security_and_permissions_for_pipelines_on_google_cloud_platform. , There is no cloudservices robot account for your project. Please ensure that the Dataflow API is enabl ed for your project.
Rakesh C. · Reviewed over 5 years ago
Follow lab steps but getting below error while running first dataflow job: python dataflow_python_examples/data_ingestion.py --project=$PROJECT --region=us-central1 --runner=DataflowRunner --staging_location=gs://$PROJECT/test --temp_location gs://$PROJECT/test --input gs://$PROJECT/data_files/head_usa_names.csv --save_main_session Workflow failed. Causes: There was a problem refreshing your credentials. Please check: 1. Dataflow API is enabled for your project. 2. Make sure both the Dataflow service account and the controller service account have sufficient permissions. If you are not specifying a controller service account, ensure the default Compute Engine service account [PROJECT_NUMBER]-compute@developer.gserviceaccount.com exists and has sufficient permissions. If you have deleted the default Compute Engine service account, you must specify a controller service account. For more information, see: https://cloud.google.com/dataflow/docs/concepts/security-and-permissions#security_and_permissions_for_pipelines_on_google_cloud_platform. , There is no cloudservices robot account for your project. Please ensure that the Dataflow API is enabled for your project.
Rakesh C. · Reviewed over 5 years ago
Anita Q. · Reviewed over 5 years ago
Steve M. · Reviewed over 5 years ago
Very nicely setup lab.. Thank you
Prakash S. · Reviewed over 5 years ago
tomoomi I. · Reviewed over 5 years ago
Ruchir J. · Reviewed over 5 years ago
shaik s. · Reviewed over 5 years ago
Y M. · Reviewed over 5 years ago
I had to add the following permissions on compute engine service account for this to work: Dataflow Admin Cloud Dataflow Service Agent Editor
Sarma P. · Reviewed over 5 years ago
J T. · Reviewed over 5 years ago
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