[
https://issues.apache.org/jira/browse/SPARK-24133?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Herman van Hovell updated SPARK-24133:
--------------------------------------
Fix Version/s: 2.3.1
> Reading Parquet files containing large strings can fail with
> java.lang.ArrayIndexOutOfBoundsException
> -----------------------------------------------------------------------------------------------------
>
> Key: SPARK-24133
> URL: https://issues.apache.org/jira/browse/SPARK-24133
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.3.0
> Reporter: Ala Luszczak
> Assignee: Ala Luszczak
> Priority: Major
> Fix For: 2.3.1, 2.4.0
>
>
> ColumnVectors store string data in one big byte array. Since the array size
> is capped at just under Integer.MAX_VALUE, a single ColumnVector cannot store
> more than 2GB of string data.
> However, since the Parquet files commonly contain large blobs stored as
> strings, and ColumnVectors by default carry 4096 values, it's entirely
> possible to go past that limit.
> In such cases a negative capacity is requested from
> WritableColumnVector.reserve(). The call succeeds (requested capacity is
> smaller than already allocated), and consequently
> java.lang.ArrayIndexOutOfBoundsException is thrown when the reader actually
> attempts to put the data into the array.
> This behavior is hard to troubleshoot for the users. Spark should instead
> check for negative requested capacity in WritableColumnVector.reserve() and
> throw more informative error, instructing the user to tweak ColumnarBatch
> size.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
