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From "Keith Kraus (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-16334) [SQL] SQL query on parquet table java.lang.ArrayIndexOutOfBoundsException
Date Thu, 28 Jul 2016 20:12:20 GMT

    [ https://issues.apache.org/jira/browse/SPARK-16334?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15398130#comment-15398130
] 

Keith Kraus commented on SPARK-16334:
-------------------------------------

[~sameerag] I have just built branch-2.0 which should have included your patch, but I am still
experiencing this issue. The parquet file I am using was written using Spark 1.6 and has ~450
columns.

Issuing {{spark.conf.set("spark.sql.parquet.enableVectorizedReader", "false")}} prevents the
issue from occurring, so it's definitely the vectorized parquet reader.

Let me know if I can provide any additional information to help resolve this issue.

> [SQL] SQL query on parquet table java.lang.ArrayIndexOutOfBoundsException
> -------------------------------------------------------------------------
>
>                 Key: SPARK-16334
>                 URL: https://issues.apache.org/jira/browse/SPARK-16334
>             Project: Spark
>          Issue Type: Bug
>    Affects Versions: 2.0.0
>            Reporter: Egor Pahomov
>            Assignee: Sameer Agarwal
>            Priority: Critical
>              Labels: sql
>             Fix For: 2.0.1, 2.1.0
>
>
> Query:
> {code}
> select * from blabla where user_id = 415706251
> {code}
> Error:
> {code}
> 16/06/30 14:07:27 WARN scheduler.TaskSetManager: Lost task 11.0 in stage 0.0 (TID 3,
hadoop6): java.lang.ArrayIndexOutOfBoundsException: 6934
>         at org.apache.parquet.column.values.dictionary.PlainValuesDictionary$PlainBinaryDictionary.decodeToBinary(PlainValuesDictionary.java:119)
>         at org.apache.spark.sql.execution.datasources.parquet.VectorizedColumnReader.decodeDictionaryIds(VectorizedColumnReader.java:273)
>         at org.apache.spark.sql.execution.datasources.parquet.VectorizedColumnReader.readBatch(VectorizedColumnReader.java:170)
>         at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.nextBatch(VectorizedParquetRecordReader.java:230)
>         at org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.nextKeyValue(VectorizedParquetRecordReader.java:137)
>         at org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:36)
>         at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:91)
>         at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.scan_nextBatch$(Unknown
Source)
>         at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown
Source)
>         at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
>         at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370)
>         at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:246)
>         at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:240)
>         at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:780)
>         at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:780)
>         at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
>         at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
>         at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
>         at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
>         at org.apache.spark.scheduler.Task.run(Task.scala:85)
>         at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
>         at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>         at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
>         at java.lang.Thread.run(Thread.java:745)
> {code}
> Work on 1.6.1



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