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https://issues.apache.org/jira/browse/SPARK-16764?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15397012#comment-15397012
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Apache Spark commented on SPARK-16764:
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User 'sameeragarwal' has created a pull request for this issue:
https://github.com/apache/spark/pull/14387
> Recommend disabling vectorized parquet reader on OutOfMemoryError
> -----------------------------------------------------------------
>
> Key: SPARK-16764
> URL: https://issues.apache.org/jira/browse/SPARK-16764
> Project: Spark
> Issue Type: Improvement
> Reporter: Sameer Agarwal
>
> We currently don't bound or manage the data array size used by column vectors
> in the vectorized reader (they're just bound by INT.MAX) which may lead to
> OOMs while reading data. In the short term, we can probably intercept this
> exception and suggest the user to disable the vectorized parquet reader.
> Longer term, we should probably do explicit memory management for this.
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