Processamento ETL no Google Cloud com o Dataflow e o BigQuery (Python) avaliações

80300 avaliações

Aditya k. · Revisado há over 5 years

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David Leonardo D. · Revisado há over 5 years

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. · Revisado há over 5 years

Yi M. · Revisado há over 5 years

Chirag S. · Revisado há over 5 years

Krithika M. · Revisado há over 5 years

Miguel G. · Revisado há over 5 years

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. · Revisado há over 5 years

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. · Revisado há over 5 years

Anita Q. · Revisado há over 5 years

Steve M. · Revisado há over 5 years

Very nicely setup lab.. Thank you

Prakash S. · Revisado há over 5 years

tomoomi I. · Revisado há over 5 years

Ruchir J. · Revisado há over 5 years

shaik s. · Revisado há over 5 years

Y M. · Revisado há over 5 years

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. · Revisado há over 5 years

J T. · Revisado há over 5 years

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