You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2015/07/23 00:07:05 UTC
[jira] [Updated] (SPARK-9244) Increase some default memory limits
[ https://issues.apache.org/jira/browse/SPARK-9244?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen updated SPARK-9244:
-----------------------------
Priority: Minor (was: Major)
Component/s: Spark Core
> Increase some default memory limits
> -----------------------------------
>
> Key: SPARK-9244
> URL: https://issues.apache.org/jira/browse/SPARK-9244
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Reporter: Matei Zaharia
> Assignee: Matei Zaharia
> Priority: Minor
>
> There are a few memory limits that people hit often and that we could make higher, especially now that memory sizes have grown.
> - spark.akka.frameSize: This defaults at 10 but is often hit for map output statuses in large shuffles. AFAIK the memory is not fully allocated up-front, so we can just make this larger and still not affect jobs that never sent a status that large.
> - spark.executor.memory: Defaults at 512m, which is really small. We can at least increase it to 1g, though this is something users do need to set on their own.
--
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