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  1. Spark
  2. SPARK-21115

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

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    • Improvement
    • Status: Resolved
    • Minor
    • Resolution: Fixed
    • 2.1.1
    • 2.3.0
    • Spark Core
    • None

    Description

      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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            eaton eaton
            eaton eaton
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              Updated:
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