BigQuery Export Limitations

BigQuery Export Limitations


Your data exports to BigQuery may encounter errors in certain situations such as large export sizes. This article will show you how to identify and correct errors with your BigQuery exports.

Export Limitations

If you are using connectors other than Facebook Ads or GA4, make sure the report you are trying to export contains fewer than 40,000 rows of data. If you are backfilling a large amount of your historical data into BigQuery, you may need to take additional steps to make sure your exports are under BigQuery's limits. This limitation does not apply to Facebook Ads or GA4. 

Your export should run in under 10 minutes. If the export runs for 30 minutes or more, it has hung and needs to be cancelled. To stop the hung export, click Edit Export.

The BigQuery section of your PMA hub, highlighting the pencil icon to edit one of the exports.

Do not make any changes to the export. Click Update.

The dialog box to configure the export.

The hung export is now stopped.

How to accommodate large datasets

If your data has caused the export to hang, try segmenting the overall date range into two smaller date ranges. Edit the report in Data Explorer to use the first date range, then go to BigQuery and run your export.

If your export completes successfully: 
  1. Return to Data Explorer.
  2. Edit your report and set Date Range to the second date range.
  3. Go to BigQuery and run your export again.
If your export is unsuccessful:

You may need to segment the overall date range into four or more date ranges.
  1. Reduce the size of the date range until the export runs successfully, indicating this range is within BigQuery's export limits.
  2. Run the export for each date range according to the instructions above.



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