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https://issues.apache.org/jira/browse/SPARK-39830?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17600218#comment-17600218
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Apache Spark commented on SPARK-39830:
--------------------------------------

User 'cxzl25' has created a pull request for this issue:
https://github.com/apache/spark/pull/37800

> Reading ORC table that requires type promotion may throw AIOOBE
> ---------------------------------------------------------------
>
>                 Key: SPARK-39830
>                 URL: https://issues.apache.org/jira/browse/SPARK-39830
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 3.3.0
>            Reporter: dzcxzl
>            Priority: Trivial
>
> We can add a UT to test the scenario after the ORC-1205 release.
>  
> bin/spark-shell
> {code:java}
> spark.sql("set orc.stripe.size=10240")
> spark.sql("set orc.rows.between.memory.checks=1")
> spark.sql("set spark.sql.orc.columnarWriterBatchSize=1")
> val df = spark.range(1, 1+512, 1, 1).map { i =>
>     if( i == 1 ){
>         (i, Array.fill[Byte](5 * 1024 * 1024)('X'))
>     } else {
>         (i,Array.fill[Byte](1)('X'))
>     }
>     }.toDF("c1","c2")
> df.write.format("orc").save("file:///tmp/test_table_orc_t1")
> spark.sql("create external table test_table_orc_t1 (c1 string ,c2 binary) 
> location 'file:///tmp/test_table_orc_t1' stored as orc ")
> spark.sql("select * from test_table_orc_t1").show() {code}
> Querying this table will get the following exception
> {code:java}
> java.lang.ArrayIndexOutOfBoundsException: 1
>         at 
> org.apache.orc.impl.TreeReaderFactory$TreeReader.nextVector(TreeReaderFactory.java:387)
>         at 
> org.apache.orc.impl.TreeReaderFactory$LongTreeReader.nextVector(TreeReaderFactory.java:740)
>         at 
> org.apache.orc.impl.ConvertTreeReaderFactory$StringGroupFromAnyIntegerTreeReader.nextVector(ConvertTreeReaderFactory.java:1069)
>         at 
> org.apache.orc.impl.reader.tree.StructBatchReader.readBatchColumn(StructBatchReader.java:65)
>         at 
> org.apache.orc.impl.reader.tree.StructBatchReader.nextBatchForLevel(StructBatchReader.java:100)
>         at 
> org.apache.orc.impl.reader.tree.StructBatchReader.nextBatch(StructBatchReader.java:77)
>         at 
> org.apache.orc.impl.RecordReaderImpl.nextBatch(RecordReaderImpl.java:1371)
>         at 
> org.apache.orc.mapreduce.OrcMapreduceRecordReader.ensureBatch(OrcMapreduceRecordReader.java:84)
>         at 
> org.apache.orc.mapreduce.OrcMapreduceRecordReader.nextKeyValue(OrcMapreduceRecordReader.java:102)
>         at 
> org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39)
>  {code}
>  



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