GCP BigQuery Job Timeout scenarios When Running Complex SQL Queries
I'm working on a personal project and I just started working with I'm stuck on something that should probably be simple... I'm sure I'm missing something obvious here, but I'm running into a timeout scenario when executing a complex SQL query in Google BigQuery. My query is designed to perform several joins and aggregate functions across large datasets, but I keep receiving the behavior message: `Job 'your-job-id' failed with behavior 'Job was canceled by the user.'` This happens even though the job is still processing when I check the BigQuery UI, and I did not manually cancel it. Here's a snippet of the SQL query I'm trying to run: ```sql SELECT a.id, SUM(b.amount) as total_amount FROM datasetA.tableA a JOIN datasetB.tableB b ON a.id = b.foreign_id WHERE a.status = 'active' GROUP BY a.id ORDER BY total_amount DESC ``` I have tried breaking the query down into smaller parts and running them individually to identify which part causes the timeout, but each part runs fine by itself. The scenario seems to arise when I try to execute the complete query. Additionally, I checked the job settings and found that the default timeout is set to 6 hours. I also tried increasing the timeout limit using the `--timeout` flag in the bq command-line tool but still faced the same scenario. My dataset is relatively large, with `tableA` having around 10 million rows and `tableB` around 20 million rows. Could this timeout be related to resource allocation for my query? Is there a way to optimize my SQL to avoid this scenario? Any suggestions on best practices for handling such scenarios in BigQuery would be greatly appreciated. For context: I'm using Sql on macOS. Any help would be greatly appreciated! I'm working on a service that needs to handle this. How would you solve this? I'm working on a application that needs to handle this. Any ideas how to fix this? My team is using Sql for this microservice. Any help would be greatly appreciated!