mohamedawnallah commented on code in PR #37108: URL: https://github.com/apache/beam/pull/37108#discussion_r2618936035
########## website/www/site/content/en/documentation/io/built-in/google-bigquery.md: ########## @@ -659,6 +659,11 @@ runtime. The sharding behavior depends on the runners. You must use `triggering_frequency` to specify a triggering frequency for initiating load jobs. Be careful about setting the frequency such that your pipeline doesn't exceed the BigQuery load job [quota limit](https://cloud.google.com/bigquery/quotas#load_jobs). + +> **Note:** When using file load-based BigQuery writes with dynamic destinations and a non-zero +> `triggering_frequency`, temporary tables may be created repeatedly and loads +> are not finalized into destination tables. This is a known limitation (see BEAM-9917). Review Comment: It looks like the goal of this issue (https://github.com/apache/beam/issues/20242) is to resolve the root cause not documenting the issue/bug? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
