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https://issues.apache.org/jira/browse/HIVE-21185?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16813048#comment-16813048
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chengkun jia edited comment on HIVE-21185 at 4/9/19 6:52 AM:
-------------------------------------------------------------

I think this issue is resolved in 
https://issues.apache.org/jira/browse/HIVE-18833 and released in hive 2.3.4 and 
3.0.0

that's what i just wanted.

 


was (Author: lfyzjck):
I think this issue is resolved in 
https://issues.apache.org/jira/browse/HIVE-18833

that's what i just wanted.

 

> insert overwrite directory ... stored as nontextfile raise exception with 
> merge files open
> ------------------------------------------------------------------------------------------
>
>                 Key: HIVE-21185
>                 URL: https://issues.apache.org/jira/browse/HIVE-21185
>             Project: Hive
>          Issue Type: Bug
>          Components: Query Planning
>    Affects Versions: 2.1.1, 2.3.0
>            Reporter: chengkun jia
>            Priority: Major
>
> reproduce:
>  
> {code:java}
> # init table with small files
> create table multiple_small_files (id int);
> insert into multiple_small_files values (1);
> insert into multiple_small_files values (1);
> insert into multiple_small_files values (1);
> insert into multiple_small_files values (1);
> insert into multiple_small_files values (1);
> insert into multiple_small_files values (1);
> insert into multiple_small_files values (1);
> insert into multiple_small_files values (1);
> # open small file merge
> set hive.merge.mapfiles=true;
> set hive.merge.mapredfiles=true;
> insert overwrite directory '/path/to/hdfs' stored as avro
> select * from multiple_small_files;
> {code}
> this will produce exception like:
> {code:java}
> Messages for this Task:Error: java.lang.RuntimeException: 
> org.apache.hadoop.hive.ql.metadata.HiveException: Hive Runtime Error while 
> processing writable 
> Objavro.schema�{"type":"record","name":"baseRecord","fields":[{"name":"_col0","type":["null","int"],"default":null}]}�$$����N���e(���
>                                                              �$$����N���e(��� 
> at org.apache.hadoop.hive.ql.exec.mr.ExecMapper.map(ExecMapper.java:169) at 
> org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:54) 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.YarnChild$2.run(YarnChild.java:163) at 
> java.security.AccessController.doPrivileged(Native Method) at 
> javax.security.auth.Subject.doAs(Subject.java:422) at 
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1671)
>  at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:158)Caused by: 
> org.apache.hadoop.hive.ql.metadata.HiveException: Hive Runtime Error while 
> processing writable 
> Objavro.schema�{"type":"record","name":"baseRecord","fields":[{"name":"_col0","type":["null","int"],"default":null}]}�$$����N���e(���
>                                      �$$����N���e(��� at 
> org.apache.hadoop.hive.ql.exec.MapOperator.process(MapOperator.java:497) at 
> org.apache.hadoop.hive.ql.exec.mr.ExecMapper.map(ExecMapper.java:160) ... 8 
> moreCaused by: org.apache.hadoop.hive.serde2.avro.AvroSerdeException: 
> Expecting a AvroGenericRecordWritable at 
> org.apache.hadoop.hive.serde2.avro.AvroDeserializer.deserialize(AvroDeserializer.java:139)
>  at 
> org.apache.hadoop.hive.serde2.avro.AvroSerDe.deserialize(AvroSerDe.java:216) 
> at 
> org.apache.hadoop.hive.ql.exec.MapOperator$MapOpCtx.readRow(MapOperator.java:128)
>  at 
> org.apache.hadoop.hive.ql.exec.MapOperator$MapOpCtx.access$200(MapOperator.java:92)
>  at org.apache.hadoop.hive.ql.exec.MapOperator.process(MapOperator.java:488) 
> ... 9 moreFAILED: Execution Error, return code 2 from 
> org.apache.hadoop.hive.ql.exec.mr.MapRedTask
> {code}
>  
> This issue not only affect avrofile format but all nontextfile storage 
> format. The rootcause is hive get wrong input format in file merge stage



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