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Hi everyone,
I have a problem when I want to extract all the information from some BigQuery tables. These tables have 11 million records, when I extract the information, I get the following error:
ERROR [HY000] [Qlik][BigQuery] (131) Unable to authenticate with Google BigQuery Storage API. Check your account permissions
However, if I limit the information to 20k records, the information can be extracted without problems.
What I can do?
May be following reasons
Check the API settings: Verify that the API settings for the BigQuery Storage API are configured correctly. This may include enabling the API, setting up billing information, and configuring API access.
Increase your quota: If you are hitting your API request quota, you may need to request an increase in your quota limit. This can be done through the Google Cloud Console.
Optimize your query: If you are running a complex query, consider optimizing it to reduce the amount of data being processed. This can help to reduce the load on the BigQuery Storage API and improve
Hi Dylangargo,
Please let me know which role you have added the service account to resolve the issue.
Is it for project level permission or Dataset level permission.
Kindly advise us on the earliest.
Thanks
Srikanth.
May be following reasons
Check the API settings: Verify that the API settings for the BigQuery Storage API are configured correctly. This may include enabling the API, setting up billing information, and configuring API access.
Increase your quota: If you are hitting your API request quota, you may need to request an increase in your quota limit. This can be done through the Google Cloud Console.
Optimize your query: If you are running a complex query, consider optimizing it to reduce the amount of data being processed. This can help to reduce the load on the BigQuery Storage API and improve
Thank you, I have already solved my problem. I needed a new role in the service account.
Hi Dylangargo,
Please let me know which role you have added the service account to resolve the issue.
Is it for project level permission or Dataset level permission.
Kindly advise us on the earliest.
Thanks
Srikanth.