[Bug] many timeouts with `priority: interactive` config about dbt-bigquery

[chase-jones]

Auto dbt-retry with exponential backoff would be nice to have as a ways of combating this issue from the dbt side of things. Manually triggering the retry will often work, but in an instance this AM, had to dbt retry (from dbt cloud) the same job 4 times before it went through.

[chase-jones]

Adding comment here: this is not something that we can consistently reproduce, however, we are noticing GCP queries that take very little slot time (i.e. 0.03s of slot time) will take 3+ mins to complete.

We are using interactive mode to submit these queries.

We also can look at query hashes for long running queries, and see that those some query hashes do not take nearly as much time to run in prior runs.

[dougscc]

Noticed the same issue starting with our May 19, 2024, 11:45 PM EDT "production" run. Same issue on our morning run.

The first two times it happened, we were able to recover automatically (we use airflow to get exponential backoff as @chase-jones mentioned above.)

If an automated retry function is added, it would be friendly to add an option to run the retry with --select result:error

[dataders]

For diligence, another thing I noticed was that there was a new minor release of the BigQuery Python client four days ago: 3.23.0.

However, I don't see anything there that could affect this, which further leads me to think the issue is with BigQuery itself

[vincentchangsnt]

Yes, this is happening to us as well. We are encountering a timeout issue that we have not encountered previously. We've tried to rerun the job and it's failing at a different stage each time. Our pipeline ran fine all weekend and unexpectedly started failing this morning with no rhyme or reason.

[wazi55]

Do you also see the same timeout error when you run the query interactively in BigQuery console? If so, I would recommend creating a ticket directly with Google Cloud Support team.

[aleksandrpolyak-bicyclehealth]

We ran the same dbt pipeline using GCP Cloud Build and it executed successfully without any slowdowns