Forum Discussion
exceed quotas
Hi nadiacampos,
Thank you d_m_LNK, for your insights,
The HTTP 403: quotaExceeded error occurs when too many requests are sent to Google BigQuery at once. This often happens during the connection or discovery process, as Power BI refreshes and the connector sends multiple projects.list API calls, exceeding the concurrent request limit. To fix this, try staggering your report or dataset refresh times to distribute API calls more evenly. Additionally, specify the Project ID in your connection settings so the connector can connect directly to the project and avoid extra projects.list API calls.
Google BigQuery connector - Power Query | Microsoft Learn
Troubleshoot quota and limit errors | BigQuery | Google Cloud Documentation
Quotas and limits | BigQuery | Google Cloud Documentation
Thank you.
Community SupportHi nadiacampos,
Thank you d_m_LNK, for your insights,
The HTTP 403: quotaExceeded error occurs when too many requests are sent to Google BigQuery at once. This often happens during the connection or discovery process, as Power BI refreshes and the connector sends multiple projects.list API calls, exceeding the concurrent request limit. To fix this, try staggering your report or dataset refresh times to distribute API calls more evenly. Additionally, specify the Project ID in your connection settings so the connector can connect directly to the project and avoid extra projects.list API calls.
Google BigQuery connector - Power Query | Microsoft Learn
Troubleshoot quota and limit errors | BigQuery | Google Cloud Documentation
Quotas and limits | BigQuery | Google Cloud Documentation
Thank you.