You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@datalab.apache.org by "Vira Vitanska (Jira)" <ji...@apache.org> on 2021/04/02 08:05:00 UTC

[jira] [Created] (DATALAB-2342) [Notebook]: Allocate spark driver/spark executor memory according to the Best practice

Vira Vitanska created DATALAB-2342:
--------------------------------------

             Summary: [Notebook]: Allocate spark driver/spark executor memory according to the Best practice
                 Key: DATALAB-2342
                 URL: https://issues.apache.org/jira/browse/DATALAB-2342
             Project: Apache DataLab
          Issue Type: Task
      Security Level: Public (Regular Issues)
          Components: DataLab Main
            Reporter: Vira Vitanska
            Assignee: Mykola Bodnar
             Fix For: v.2.5


Total executor memory = total RAM per instance / number of executors per instance


Spark.executors.memory = total executor memory * 0.90


Spark.driver.memory = spark.executors.memory


According to [https://aws.amazon.com/blogs/big-data/best-practices-for-successfully-managing-memory-for-apache-spark-applications-on-amazon-emr/]

 



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

---------------------------------------------------------------------
To unsubscribe, e-mail: dev-unsubscribe@datalab.apache.org
For additional commands, e-mail: dev-help@datalab.apache.org