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Posted to issues@spark.apache.org by "Ajith S (JIRA)" <ji...@apache.org> on 2019/03/04 16:04:00 UTC
[jira] [Commented] (SPARK-26809) insert overwrite directory +
concat function => error
[ https://issues.apache.org/jira/browse/SPARK-26809?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16783494#comment-16783494 ]
Ajith S commented on SPARK-26809:
---------------------------------
This is because org.apache.hadoop.hive.serde2.lazy.LazySerDeParameters#extractColumnInfo here comma separated column names are expected. But due to org.apache.spark.sql.hive.HiveAnalysis#apply
{code:java}
InsertIntoHiveDirCommand(isLocal, storage, child, overwrite, child.output.map(_.name)){code}
here the child.output will give string "concat(col1,col2)" which is passed to hive causing failure. Same thing works with alias because, child.output will return alias name instead of function.
> insert overwrite directory + concat function => error
> -----------------------------------------------------
>
> Key: SPARK-26809
> URL: https://issues.apache.org/jira/browse/SPARK-26809
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.0
> Reporter: ant_nebula
> Priority: Critical
>
> insert overwrite directory '/tmp/xx'
> select concat(col1, col2)
> from tableXX
> limit 3
>
> Caused by: org.apache.hadoop.hive.serde2.SerDeException: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe: columns has 3 elements while columns.types has 2 elements!
> at org.apache.hadoop.hive.serde2.lazy.LazySerDeParameters.extractColumnInfo(LazySerDeParameters.java:145)
> at org.apache.hadoop.hive.serde2.lazy.LazySerDeParameters.<init>(LazySerDeParameters.java:85)
> at org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe.initialize(LazySimpleSerDe.java:125)
> at org.apache.spark.sql.hive.execution.HiveOutputWriter.<init>(HiveFileFormat.scala:119)
> at org.apache.spark.sql.hive.execution.HiveFileFormat$$anon$1.newInstance(HiveFileFormat.scala:103)
> at org.apache.spark.sql.execution.datasources.SingleDirectoryDataWriter.newOutputWriter(FileFormatDataWriter.scala:120)
> at org.apache.spark.sql.execution.datasources.SingleDirectoryDataWriter.<init>(FileFormatDataWriter.scala:108)
> at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:233)
> at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:169)
> at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:168)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
> at org.apache.spark.scheduler.Task.run(Task.scala:121)
> at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:402)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:408)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
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