You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "bianqi (Jira)" <ji...@apache.org> on 2021/01/13 07:00:00 UTC
[jira] [Issue Comment Deleted] (SPARK-19169) columns changed orc
table encouter 'IndexOutOfBoundsException' when read the old schema files
[ https://issues.apache.org/jira/browse/SPARK-19169?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
bianqi updated SPARK-19169:
---------------------------
Comment: was deleted
(was: [~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})
> 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)
> ```
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org