[SPARK-9260] Standalone scheduling can overflow a worker with cores

• Type: Bug
• Status: Closed
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 1.4.0
• Fix Version/s: 1.4.2, 1.5.0
• Component/s: Deploy
• Target Version/s: 1.4.2, 1.5.0
• Assignee: Nishkam Ravi
• Reporter: Andrew Or
• Created: 22/Jul/15 19:09
• Updated: 26/Jul/15 05:57
• Resolved: 26/Jul/15 05:57

Description

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:

Issue Links

• links to: [Github] Pull Request #7274 (nishkamravi2)