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https://issues.apache.org/jira/browse/SPARK-25904?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Imran Rashid resolved SPARK-25904.
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Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 22818
[https://github.com/apache/spark/pull/22818]
> 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: Imran Rashid
> Priority: Major
> Fix For: 3.0.0
>
>
> 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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