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From "Matt McCline (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-10598) Vectorization borks when column is added to table.
Date Mon, 08 Jun 2015 20:40:00 GMT

    [ https://issues.apache.org/jira/browse/HIVE-10598?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14577796#comment-14577796
] 

Matt McCline commented on HIVE-10598:
-------------------------------------

orc_int_type_promotion is failing because the new checks are too strict: requiring partitions
to have an exact subset of types...

(noformat}
2015-06-08 13:32:18,140 INFO  [main]: physical.Vectorizer (Vectorizer.java:validateInputFormatAndSchemaEvolution(586))
- Could not vectorize partition pfile:/Users/mmccline/HIVE-10598/itests/qtest/target/warehouse/src_part_orc/ds=2008-04-08.
 The first type names int:string do not match the other first type names bigint:str
{noformat}

> Vectorization borks when column is added to table.
> --------------------------------------------------
>
>                 Key: HIVE-10598
>                 URL: https://issues.apache.org/jira/browse/HIVE-10598
>             Project: Hive
>          Issue Type: Bug
>          Components: Vectorization
>            Reporter: Mithun Radhakrishnan
>            Assignee: Matt McCline
>         Attachments: HIVE-10598.01.patch
>
>
> Consider the following table definition:
> {code:sql}
> create table foobar ( foo string, bar string ) partitioned by (dt string) stored as orc;
> alter table foobar add partition( dt='20150101' ) ;
> {code}
> Say the partition has the following data:
> {noformat}
> 1	one	20150101
> 2	two	20150101
> 3	three	20150101
> {noformat}
> If a new column is added to the table-schema (and the partition continues to have the
old schema), vectorized read from the old partitions fail thus:
> {code:sql}
> alter table foobar add columns( goo string );
> select count(1) from foobar;
> {code}
> {code:title=stacktrace}
> java.lang.Exception: java.lang.RuntimeException: Error creating a batch
> 	at org.apache.hadoop.mapred.LocalJobRunner$Job.runTasks(LocalJobRunner.java:462)
> 	at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:522)
> Caused by: java.lang.RuntimeException: Error creating a batch
> 	at org.apache.hadoop.hive.ql.io.orc.VectorizedOrcInputFormat$VectorizedOrcRecordReader.createValue(VectorizedOrcInputFormat.java:114)
> 	at org.apache.hadoop.hive.ql.io.orc.VectorizedOrcInputFormat$VectorizedOrcRecordReader.createValue(VectorizedOrcInputFormat.java:52)
> 	at org.apache.hadoop.hive.ql.io.CombineHiveRecordReader.createValue(CombineHiveRecordReader.java:84)
> 	at org.apache.hadoop.hive.ql.io.CombineHiveRecordReader.createValue(CombineHiveRecordReader.java:42)
> 	at org.apache.hadoop.hive.shims.HadoopShimsSecure$CombineFileRecordReader.createValue(HadoopShimsSecure.java:156)
> 	at org.apache.hadoop.mapred.MapTask$TrackedRecordReader.createValue(MapTask.java:180)
> 	at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:50)
> 	at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:450)
> 	at org.apache.hadoop.mapred.MapTask.run(MapTask.java:343)
> 	at org.apache.hadoop.mapred.LocalJobRunner$Job$MapTaskRunnable.run(LocalJobRunner.java:243)
> 	at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
> 	at java.util.concurrent.FutureTask.run(FutureTask.java:262)
> 	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> 	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> 	at java.lang.Thread.run(Thread.java:744)
> Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: No type entry found for
column 3 in map {4=Long}
> 	at org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatchCtx.addScratchColumnsToBatch(VectorizedRowBatchCtx.java:632)
> 	at org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatchCtx.createVectorizedRowBatch(VectorizedRowBatchCtx.java:343)
> 	at org.apache.hadoop.hive.ql.io.orc.VectorizedOrcInputFormat$VectorizedOrcRecordReader.createValue(VectorizedOrcInputFormat.java:112)
> 	... 14 more
> {code}



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