Andrew Or created SPARK-9260: -------------------------------- Summary: Standalone scheduling can overflow a worker with cores Key: SPARK-9260 URL: https://issues.apache.org/jira/browse/SPARK-9260 Project: Spark Issue Type: Bug Components: Deploy Affects Versions: 1.4.0 Reporter: Andrew Or Assignee: Nishkam Ravi
If the cluster is started with `spark.deploy.spreadOut = false`, then we may allocate more cores than is available on a worker. E.g. a worker has 8 cores, and an application sets `spark.cores.max = 10`, then we end up with the following screenshot: -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org