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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/10/31 20:46:00 UTC
[jira] [Assigned] (SPARK-25904) Avoid allocating arrays too large
for JVMs
[ https://issues.apache.org/jira/browse/SPARK-25904?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-25904:
------------------------------------
Assignee: Apache Spark
> Avoid allocating arrays too large for JVMs
> ------------------------------------------
>
> Key: SPARK-25904
> URL: https://issues.apache.org/jira/browse/SPARK-25904
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 2.4.0
> Reporter: Imran Rashid
> Assignee: Apache Spark
> Priority: Major
>
> In a few places spark can try to allocate arrays as big as {{Int.MaxValue}}, but thats actually too big for the JVM. We should consistently use {{ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH}} instead.
> In some cases this is changing defaults for configs, in some cases its bounds on a config, and others its just improving error msgs for things that still won't work.
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