Andrew Or created SPARK-9260:
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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:
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