eaton created SPARK-21115:
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Summary: If the cores left is less than the coresPerExecutor,the
cores left will not be allocated, so it should not to check in every schedule
Key: SPARK-21115
URL: https://issues.apache.org/jira/browse/SPARK-21115
Project: Spark
Issue Type: Improvement
Components: Spark Core
Affects Versions: 2.1.1
Reporter: eaton
Priority: Minor
If we start an app with the param --total-executor-cores=4 and
spark.executor.cores=3, the cores left is always 1, so it will try to allocate
executors in the function
org.apache.spark.deploy.master.startExecutorsOnWorkers in every schedule.
Another question is, is it will be better to allocate another executor with 1
core for the cores left.
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