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https://issues.apache.org/jira/browse/SPARK-19169?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17165657#comment-17165657
]
bianqi edited comment on SPARK-19169 at 1/13/21, 6:59 AM:
----------------------------------------------------------
[~hyukjin.kwon]
{quote}java.lang.IndexOutOfBoundsException：在org.apache.hadoop.hive.ql处的java.util.ArrayList.subListRangeCheck（ArrayList.java:1004）处的toIndex
= 63在java.util.ArrayList.subList（ArrayList.java:996）处。
org.apache.hadoop.hive.ql.io.orc.RecordReaderFactory.createTreeReader（RecordReaderFactory.java:66）上的io.orc.RecordReaderFactory.getSchemaOnRead（RecordReaderFactory.java:161）在org.apache.hadoop.hive.ql上。
org.apache.hadoop.hive.ql.io.orc.ReaderImpl.rowsOptions（ReaderImpl.java:541）的io.orc.RecordReaderImpl。（RecordReaderImpl.java:202）在org.apache.hadoop.hive.ql.io
org.apache.hadoop.hive.ql.io.orc.OrcRawRecordMerger $
OriginalReaderPair。（OrcRawRecordMerger.java:226）上的.orc.OrcRawRecordMerger $
ReaderPair。（OrcRawRecordMerger.java:183）在org.apache.hadoop。
.io.orc.OrcRawRecordMerger（OrcRawRecordMerger.java:437），位于org.apache.hadoop.hive.ql.io.orc。org.apache.spark.rdd.HadoopRDD的OrcInputFormat.getReader（OrcInputFormat.java:1273）在org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.getRecordReader（OrcInputFormat.java:1170）在org.apache.spark.rdd.HadoopRDD
$$在org.apache.spark.rdd.HadoopRDD $$ anon $ 1处举升Tree1
$（HadoopRDD.scala：257）$匿名$
1.（HadoopRDD.scala：256）在org.apache.spark.rdd.HadoopRDD.compute（HadoopRDD.scala：214）在org.apache.spark.rdd.HadoopRDD.compute（HadoopRDD.scala：94）在org.apache.spark.rdd.RDD.computeOrReadCheckpoint（RDD.scala：324）在org.apache.spark.rdd.RDD.iterator
（RDD.scala：288）在org.apache.spark.rdd.MapPartitionsRDD.compute（MapPartitionsRDD.scala：49）在org.apache.spark.rdd.RDD.computeOrReadCheckpoint（RDD.scala：324）在org.apache。
org.apache.spark.rdd.MapPartitionsRDD.compute上的spark.rdd.RDD.iterator（RDD.scala：288）（org.apache.spark.rdd.RDD.computeOrReadCheckpoint（RDD。scala：324）位于org.apache.spark.rdd.RDD.iterator（RDD.scala：288），位于org.apache.spark.rdd。UnionRDD.compute（UnionRDD.scala：105）位于org.apache.spark.rdd位于org.apache.spark.rdd的.RDD.computeOrReadCheckpoint（RDD.scala：324）.RDR.iterator（RDD.scala：288）位于org.apache.spark.rdd.MapPartitionsRDD.compute（MapPartitionsRDD.scala：49）
org.apache.spark.rdd.RDD.iterator（RDD.scala：288）上的org.apache.spark.rdd.RDD.computeOrReadCheckpoint（RDD.scala：324）（org.apache.spark.rdd.MapPartitionsRDD.compute（
org.apache.spark.rdd.RDD.computeOrReadCheckpoint（RDD.scala：324）位于org.apache.spark.rdd.RDD.iterator（RDD.scala：288）位于org.apache.spark处的MapPartitionsRDD.scala：49）
org.apache.spark.rdd.RDD.computeOrReadCheckpoint（RDD.scala：324）上的.rdd.MapPartitionsRDD.compute（MapPartitionsRDD.scala：49）（org.apache.spark.rdd.RDD.iterator（RDD.scala：288）
），网址为org.apache.spark.rdd。org.apache.spark.rdd.RDD.iterator（RDD.scala：288）上的org.apache.spark.rdd.RDD.computeOrReadCheckpoint（RDD.scala：324）上的org.apache.spark.rdd.RDD.iterator（RDD.scala：288）上的MapPartitionsRDD.compute（MapPartitionsRDD.scala：49）
org.apache.spark.scheduler.ShuffleMapTask.runTask（ShuffleMapTask.scala：96）在org.apache.spark.scheduler.ShuffleMapTask.runTask（ShuffleMapTask.scala：53）在org.apache.spark.scheduler.Task.run（Task
.scala：109），位于org.apache.spark.executor.Executor $
TaskRunner.run（Executor.scala：345），位于java.util.concurrent.ThreadPoolExecutor.runWorker（ThreadPoolExecutor.java:1149），位于java.util.concurrent。
ThreadPoolExecutor $
Worker.run（ThreadPoolExecutor.java:624）在java.lang.Thread.run（Thread.java:748）位于org.apache.spark.scheduler的ShuffleMapTask.runTask（ShuffleMapTask.scala：96）在org.org的org.apache.spark.scheduler.Task.run（Task.scala：109）在org.apache.spark.scheduler.ShuffleMapTask.runTask（ShuffleMapTask.scala：53）
.apache.spark.executor.Executor $ TaskRunner.run（Executor.scala：345）at
java.util.concurrent.ThreadPoolExecutor.runWorker（ThreadPoolExecutor.java:1149）at
java.util.concurrent.ThreadPoolExecutor $ Worker.run（ThreadPoolExecutor
.java：624），位于java.lang.Thread.run（Thread.java:748）位于org.apache.spark.scheduler的ShuffleMapTask.runTask（ShuffleMapTask.scala：96）在org.org的org.apache.spark.scheduler.Task.run（Task.scala：109）在org.apache.spark.scheduler.ShuffleMapTask.runTask（ShuffleMapTask.scala：53）
.apache.spark.executor.Executor $ TaskRunner.run（Executor.scala：345）at
java.util.concurrent.ThreadPoolExecutor.runWorker（ThreadPoolExecutor.java:1149）at
java.util.concurrent.ThreadPoolExecutor $ Worker.run（ThreadPoolExecutor
.java：624），位于java.lang.Thread.run（Thread.java:748）在java.lang.Thread.run（Thread.java:748）上运行（ThreadPoolExecutor.java:624）在java.lang.Thread.run（Thread.java:748）上运行（ThreadPoolExecutor.java:624）
{quote}
was (Author: bianqi):
[~hyukjin.kwon] hello We also encountered this problem in the production
environment.
{quote}java.lang.IndexOutOfBoundsException: toIndex = 63 at
java.util.ArrayList.subListRangeCheck(ArrayList.java:1004) at
java.util.ArrayList.subList(ArrayList.java:996) at
org.apache.hadoop.hive.ql.io.orc.RecordReaderFactory.getSchemaOnRead(RecordReaderFactory.java:161)
at
org.apache.hadoop.hive.ql.io.orc.RecordReaderFactory.createTreeReader(RecordReaderFactory.java:66)
at
org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.(RecordReaderImpl.java:202)
at org.apache.hadoop.hive.ql.io.orc.ReaderImpl.rowsOptions(ReaderImpl.java:541)
at
org.apache.hadoop.hive.ql.io.orc.OrcRawRecordMerger$ReaderPair.(OrcRawRecordMerger.java:183)
at
org.apache.hadoop.hive.ql.io.orc.OrcRawRecordMerger$OriginalReaderPair.(OrcRawRecordMerger.java:226)
at
org.apache.hadoop.hive.ql.io.orc.OrcRawRecordMerger.(OrcRawRecordMerger.java:437)
at
org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.getReader(OrcInputFormat.java:1273)
at
org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.getRecordReader(OrcInputFormat.java:1170)
at org.apache.spark.rdd.HadoopRDD$$anon$1.liftedTree1$1(HadoopRDD.scala:257)
at org.apache.spark.rdd.HadoopRDD$$anon$1.(HadoopRDD.scala:256) at
org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:214) at
org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:94) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:49) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:49) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at
org.apache.spark.rdd.UnionRDD.compute(UnionRDD.scala:105) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:49) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:49) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:49) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:49) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96) at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53) at
org.apache.spark.scheduler.Task.run(Task.scala:109) at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345) at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748){quote}
> columns changed orc table encouter 'IndexOutOfBoundsException' when read the
> old schema files
> ---------------------------------------------------------------------------------------------
>
> Key: SPARK-19169
> URL: https://issues.apache.org/jira/browse/SPARK-19169
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.2
> Reporter: roncenzhao
> Priority: Major
>
> We hava an orc table called orc_test_tbl and hava inserted some data into it.
> After that, we change the table schema by droping some columns.
> When reading the old schema file, we get the follow exception.
> ```
> java.lang.IndexOutOfBoundsException: toIndex = 65
> at java.util.ArrayList.subListRangeCheck(ArrayList.java:962)
> at java.util.ArrayList.subList(ArrayList.java:954)
> at
> org.apache.hadoop.hive.ql.io.orc.RecordReaderFactory.getSchemaOnRead(RecordReaderFactory.java:161)
> at
> org.apache.hadoop.hive.ql.io.orc.RecordReaderFactory.createTreeReader(RecordReaderFactory.java:66)
> at
> org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.<init>(RecordReaderImpl.java:202)
> at
> org.apache.hadoop.hive.ql.io.orc.ReaderImpl.rowsOptions(ReaderImpl.java:539)
> at
> org.apache.hadoop.hive.ql.io.orc.OrcRawRecordMerger$ReaderPair.<init>(OrcRawRecordMerger.java:183)
> at
> org.apache.hadoop.hive.ql.io.orc.OrcRawRecordMerger$OriginalReaderPair.<init>(OrcRawRecordMerger.java:226)
> at
> org.apache.hadoop.hive.ql.io.orc.OrcRawRecordMerger.<init>(OrcRawRecordMerger.java:437)
> at
> org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.getReader(OrcInputFormat.java:1215)
> at
> org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.getRecordReader(OrcInputFormat.java:1113)
> at org.apache.spark.rdd.HadoopRDD$$anon$1.<init>(HadoopRDD.scala:245)
> at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:208)
> at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:101)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
> at org.apache.spark.rdd.UnionRDD.compute(UnionRDD.scala:105)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:79)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:47)
> at org.apache.spark.scheduler.Task.run(Task.scala:86)
> at
> org.apache.spark.executor.Executor$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)
> ```
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