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Apache Spark commented on SPARK-22683: -------------------------------------- User 'jcuquemelle' has created a pull request for this issue: https://github.com/apache/spark/pull/19881 > Allow tuning the number of dynamically allocated executors wrt task number > -------------------------------------------------------------------------- > > Key: SPARK-22683 > URL: https://issues.apache.org/jira/browse/SPARK-22683 > Project: Spark > Issue Type: Improvement > Components: Spark Core > Affects Versions: 2.1.0, 2.2.0 > Reporter: Julien Cuquemelle > > let's say an executor has spark.executor.cores / spark.task.cpus taskSlots > The current dynamic allocation policy allocates enough executors > to have each taskSlot execute a single task, which minimizes latency, > but wastes resources when tasks are small regarding executor allocation > overhead. > By adding the tasksPerExecutorSlot, it is made possible to specify how many > tasks > a single slot should ideally execute to mitigate the overhead of executor > allocation. -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org