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Posted to issues@hive.apache.org by "Sergey Shelukhin (JIRA)" <ji...@apache.org> on 2017/06/20 19:04:00 UTC

[jira] [Updated] (HIVE-16761) LLAP IO: SMB joins fail elevator

     [ https://issues.apache.org/jira/browse/HIVE-16761?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sergey Shelukhin updated HIVE-16761:
------------------------------------
    Attachment: HIVE-16761.patch

The fix to get a correct MapWork for multi-input cases. If one MapWork has several root operators, that would throw an exception elsewhere. Will test again on the query, I've tested a slightly different patch just now and it fixes the issue, this one should too.


> LLAP IO: SMB joins fail elevator 
> ---------------------------------
>
>                 Key: HIVE-16761
>                 URL: https://issues.apache.org/jira/browse/HIVE-16761
>             Project: Hive
>          Issue Type: Bug
>            Reporter: Gopal V
>            Assignee: Sergey Shelukhin
>         Attachments: HIVE-16761.patch
>
>
> {code}
> Caused by: java.io.IOException: java.lang.ClassCastException: org.apache.hadoop.hive.ql.exec.vector.LongColumnVector cannot be cast to org.apache.hadoop.hive.ql.exec.vector.BytesColumnVector
> 	at org.apache.hadoop.hive.ql.io.BatchToRowReader.next(BatchToRowReader.java:153)
> 	at org.apache.hadoop.hive.ql.io.BatchToRowReader.next(BatchToRowReader.java:78)
> 	at org.apache.hadoop.hive.ql.io.HiveContextAwareRecordReader.doNext(HiveContextAwareRecordReader.java:360)
> 	... 26 more
> Caused by: java.lang.ClassCastException: org.apache.hadoop.hive.ql.exec.vector.LongColumnVector cannot be cast to org.apache.hadoop.hive.ql.exec.vector.BytesColumnVector
> 	at org.apache.hadoop.hive.ql.io.BatchToRowReader.nextString(BatchToRowReader.java:334)
> 	at org.apache.hadoop.hive.ql.io.BatchToRowReader.nextValue(BatchToRowReader.java:602)
> 	at org.apache.hadoop.hive.ql.io.BatchToRowReader.next(BatchToRowReader.java:149)
> 	... 28 more
> {code}
> {code}
> set hive.enforce.sortmergebucketmapjoin=false;
> set hive.optimize.bucketmapjoin=true;
> set hive.optimize.bucketmapjoin.sortedmerge=true;
> set hive.auto.convert.sortmerge.join=true;
> set hive.auto.convert.join=true;
> set hive.auto.convert.join.noconditionaltask.size=500;
> select year,quarter,count(*) from transactions_raw_orc_200 a join customer_accounts_orc_200 b on a.account_id=b.account_id group by year,quarter;
> {code}



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