You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "nirav patel (JIRA)" <ji...@apache.org> on 2017/01/05 20:24:58 UTC

[jira] [Created] (SPARK-19090) Dynamic Resource Allocation not respecting spark.executor.cores

nirav patel created SPARK-19090:
-----------------------------------

             Summary: Dynamic Resource Allocation not respecting spark.executor.cores
                 Key: SPARK-19090
                 URL: https://issues.apache.org/jira/browse/SPARK-19090
             Project: Spark
          Issue Type: Bug
    Affects Versions: 2.0.1, 1.6.1, 1.5.2
            Reporter: nirav patel


When enabling dynamic scheduling with yarn I see that all executors are using only 1 core even if I specify "spark.executor.cores" to 6. If dynamic scheduling is disabled then each executors will have 6 cores. i.e. it respects  "spark.executor.cores". I have tested this against spark 1.5 . I think it will be the same behavior with 2.x as well.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org