krutoileshii opened a new issue, #10481: URL: https://github.com/apache/seatunnel/issues/10481
Im trying to run a job from SQL server to iceberg (multiple tables and multiple sinks). On average tables have a total of ~200M row between them. The cluster consists of 3 nodes 16gb ram workers + 1 16gb master. Currently even with concurrency set to 3 this will oom eventually. Using s3 imap. The job will run for a while but ultimately memory keeps growing and it dies before it ever finishes the initial snapshot. If job is cancelled, memory never gets returned until the workers are restarted. What's a good approach to minimize memory and load. Ultimately need to sync whole database with 600+ tables to iceberg. -- 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]
