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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/07/28 06:21:20 UTC
[jira] [Assigned] (SPARK-16764) Recommend disabling vectorized
parquet reader on OutOfMemoryError
[ https://issues.apache.org/jira/browse/SPARK-16764?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-16764:
------------------------------------
Assignee: (was: Apache Spark)
> 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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