There is a table stored as orc format, it contains a column with the type of array<string>.When each cell of this column contains tens of strings, the queries reported ArrayIndexOutOfBoundsException.

java.lang.Exception: java.io.IOException: java.io.IOException: java.lang.ArrayIndexOutOfBoundsException: 1024
at org.apache.hadoop.mapred.LocalJobRunner$Job.runTasks(LocalJobRunner.java:462)
at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:522)
Caused by: java.io.IOException: java.io.IOException: java.lang.ArrayIndexOutOfBoundsException: 1024
at org.apache.hadoop.hive.io.HiveIOExceptionHandlerChain.handleRecordReaderNextException(HiveIOExceptionHandlerChain.java:121)
at org.apache.hadoop.hive.io.HiveIOExceptionHandlerUtil.handleRecordReaderNextException(HiveIOExceptionHandlerUtil.java:77)
at org.apache.hadoop.hive.shims.HadoopShimsSecure$CombineFileRecordReader.doNextWithExceptionHandler(HadoopShimsSecure.java:230)
at org.apache.hadoop.hive.shims.HadoopShimsSecure$CombineFileRecordReader.next(HadoopShimsSecure.java:140)
at org.apache.hadoop.mapred.MapTask$TrackedRecordReader.moveToNext(MapTask.java:199)
at org.apache.hadoop.mapred.MapTask$TrackedRecordReader.next(MapTask.java:185)
at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:52)
at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:453)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:343)
at org.apache.hadoop.mapred.LocalJobRunner$Job$MapTaskRunnable.run(LocalJobRunner.java:243)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: java.lang.ArrayIndexOutOfBoundsException: 1024
at org.apache.hadoop.hive.io.HiveIOExceptionHandlerChain.handleRecordReaderNextException(HiveIOExceptionHandlerChain.java:121)
at org.apache.hadoop.hive.io.HiveIOExceptionHandlerUtil.handleRecordReaderNextException(HiveIOExceptionHandlerUtil.java:77)
at org.apache.hadoop.hive.ql.io.HiveContextAwareRecordReader.doNext(HiveContextAwareRecordReader.java:355)
at org.apache.hadoop.hive.ql.io.CombineHiveRecordReader.doNext(CombineHiveRecordReader.java:106)
at org.apache.hadoop.hive.ql.io.CombineHiveRecordReader.doNext(CombineHiveRecordReader.java:42)
at org.apache.hadoop.hive.ql.io.HiveContextAwareRecordReader.next(HiveContextAwareRecordReader.java:116)
at org.apache.hadoop.hive.shims.HadoopShimsSecure$CombineFileRecordReader.doNextWithExceptionHandler(HadoopShimsSecure.java:228)
... 12 more
Caused by: java.lang.ArrayIndexOutOfBoundsException: 1024
at org.apache.orc.impl.RunLengthIntegerReaderV2.nextVector(RunLengthIntegerReaderV2.java:369)
at org.apache.orc.impl.TreeReaderFactory$BytesColumnVectorUtil.commonReadByteArrays(TreeReaderFactory.java:1231)
at org.apache.orc.impl.TreeReaderFactory$BytesColumnVectorUtil.readOrcByteArrays(TreeReaderFactory.java:1268)
at org.apache.orc.impl.TreeReaderFactory$StringDirectTreeReader.nextVector(TreeReaderFactory.java:1368)
at org.apache.orc.impl.TreeReaderFactory$StringTreeReader.nextVector(TreeReaderFactory.java:1212)
at org.apache.orc.impl.TreeReaderFactory$ListTreeReader.nextVector(TreeReaderFactory.java:1902)
at org.apache.orc.impl.TreeReaderFactory$StructTreeReader.nextBatch(TreeReaderFactory.java:1737)
at org.apache.orc.impl.RecordReaderImpl.nextBatch(RecordReaderImpl.java:1045)
at org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.ensureBatch(RecordReaderImpl.java:77)
at org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.hasNext(RecordReaderImpl.java:89)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$OrcRecordReader.next(OrcInputFormat.java:230)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$OrcRecordReader.next(OrcInputFormat.java:205)
at org.apache.hadoop.hive.ql.io.HiveContextAwareRecordReader.doNext(HiveContextAwareRecordReader.java:350)
... 16 more

The reason I found is
org.apache.orc.impl.TreeReaderFactory$StringDirectTreeReader's
private final LongColumnVector scratchlcv is defined with the default length 1024, but before reading data, scratchlcv.ensureSize is missing.

ps:
create table test_orc_array(names array<string>) stored as orc;
select names from test_orc_array group by names limit 10;