You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@hive.apache.org by "Ganesha Shreedhara (Jira)" <ji...@apache.org> on 2020/04/01 01:28:00 UTC
[jira] [Commented] (HIVE-22670) ArrayIndexOutOfBoundsException when
vectorized reader is used for reading a parquet file
[ https://issues.apache.org/jira/browse/HIVE-22670?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17072292#comment-17072292 ]
Ganesha Shreedhara commented on HIVE-22670:
-------------------------------------------
[~Ferd] I understand that. I'm little concerned about the 2nd point mentioned by [~pvary] and exploring if there is a better way to fix this before running performance benchmarking. Please let me know if you have any suggestions.
> ArrayIndexOutOfBoundsException when vectorized reader is used for reading a parquet file
> ----------------------------------------------------------------------------------------
>
> Key: HIVE-22670
> URL: https://issues.apache.org/jira/browse/HIVE-22670
> Project: Hive
> Issue Type: Bug
> Components: Parquet, Vectorization
> Affects Versions: 3.1.2, 2.3.6
> Reporter: Ganesha Shreedhara
> Assignee: Ganesha Shreedhara
> Priority: Major
> Attachments: HIVE-22670.1.patch, HIVE-22670.2.patch
>
>
> ArrayIndexOutOfBoundsException is getting thrown while decoding dictionaryIds of a row group in parquet file with vectorization enabled.
> *Exception stack trace:*
> {code:java}
> Caused by: java.lang.ArrayIndexOutOfBoundsException: 0
> at org.apache.parquet.column.values.dictionary.PlainValuesDictionary$PlainBinaryDictionary.decodeToBinary(PlainValuesDictionary.java:122)
> at org.apache.hadoop.hive.ql.io.parquet.vector.ParquetDataColumnReaderFactory$DefaultParquetDataColumnReader.readString(ParquetDataColumnReaderFactory.java:95)
> at org.apache.hadoop.hive.ql.io.parquet.vector.VectorizedPrimitiveColumnReader.decodeDictionaryIds(VectorizedPrimitiveColumnReader.java:467)
> at org.apache.hadoop.hive.ql.io.parquet.vector.VectorizedPrimitiveColumnReader.readBatch(VectorizedPrimitiveColumnReader.java:68)
> at org.apache.hadoop.hive.ql.io.parquet.vector.VectorizedParquetRecordReader.nextBatch(VectorizedParquetRecordReader.java:410)
> at org.apache.hadoop.hive.ql.io.parquet.vector.VectorizedParquetRecordReader.next(VectorizedParquetRecordReader.java:353)
> at org.apache.hadoop.hive.ql.io.parquet.vector.VectorizedParquetRecordReader.next(VectorizedParquetRecordReader.java:92)
> at org.apache.hadoop.hive.ql.io.HiveContextAwareRecordReader.doNext(HiveContextAwareRecordReader.java:365)
> ... 24 more{code}
>
> This issue seems to be caused by re-using the same dictionary column vector while reading consecutive row groups. This looks like one of the corner case bug which occurs for a certain distribution of dictionary/plain encoded data while we read/populate the underlying bit packed dictionary data into a column-vector based data structure.
> Similar issue issue was reported in spark (Ref: https://issues.apache.org/jira/browse/SPARK-16334)
--
This message was sent by Atlassian Jira
(v8.3.4#803005)