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