[ 
https://issues.apache.org/jira/browse/HIVE-9371?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14287934#comment-14287934
 ] 

Hive QA commented on HIVE-9371:
-------------------------------



{color:red}Overall{color}: -1 at least one tests failed

Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12693767/HIVE-9371.1.patch

{color:red}ERROR:{color} -1 due to 2 failed/errored test(s), 7348 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_parquet_types
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_udaf_histogram_numeric
{noformat}

Test results: 
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/2477/testReport
Console output: 
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/2477/console
Test logs: 
http://ec2-174-129-184-35.compute-1.amazonaws.com/logs/PreCommit-HIVE-TRUNK-Build-2477/

Messages:
{noformat}
Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase
Tests exited with: TestsFailedException: 2 tests failed
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12693767 - PreCommit-HIVE-TRUNK-Build

> Execution error for Parquet table and GROUP BY involving CHAR data type
> -----------------------------------------------------------------------
>
>                 Key: HIVE-9371
>                 URL: https://issues.apache.org/jira/browse/HIVE-9371
>             Project: Hive
>          Issue Type: Bug
>          Components: File Formats, Query Processor
>            Reporter: Matt McCline
>            Assignee: Ferdinand Xu
>            Priority: Critical
>         Attachments: HIVE-9371.1.patch, HIVE-9371.patch, HIVE-9371.patch
>
>
> Query fails involving PARQUET table format, CHAR data type, and GROUP BY.
> Probably also fails for VARCHAR, too.
> {noformat}
> Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: 
> java.lang.ClassCastException: org.apache.hadoop.io.Text cannot be cast to 
> org.apache.hadoop.hive.serde2.io.HiveCharWritable
>       at 
> org.apache.hadoop.hive.ql.exec.GroupByOperator.processOp(GroupByOperator.java:814)
>       at org.apache.hadoop.hive.ql.exec.Operator.forward(Operator.java:815)
>       at 
> org.apache.hadoop.hive.ql.exec.SelectOperator.processOp(SelectOperator.java:84)
>       at org.apache.hadoop.hive.ql.exec.Operator.forward(Operator.java:815)
>       at 
> org.apache.hadoop.hive.ql.exec.TableScanOperator.processOp(TableScanOperator.java:95)
>       at 
> org.apache.hadoop.hive.ql.exec.MapOperator$MapOpCtx.forward(MapOperator.java:157)
>       at 
> org.apache.hadoop.hive.ql.exec.MapOperator.process(MapOperator.java:493)
>       ... 10 more
> Caused by: java.lang.ClassCastException: org.apache.hadoop.io.Text cannot be 
> cast to org.apache.hadoop.hive.serde2.io.HiveCharWritable
>       at 
> org.apache.hadoop.hive.serde2.objectinspector.primitive.WritableHiveCharObjectInspector.copyObject(WritableHiveCharObjectInspector.java:104)
>       at 
> org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorUtils.copyToStandardObject(ObjectInspectorUtils.java:305)
>       at 
> org.apache.hadoop.hive.ql.exec.KeyWrapperFactory$ListKeyWrapper.deepCopyElements(KeyWrapperFactory.java:150)
>       at 
> org.apache.hadoop.hive.ql.exec.KeyWrapperFactory$ListKeyWrapper.deepCopyElements(KeyWrapperFactory.java:142)
>       at 
> org.apache.hadoop.hive.ql.exec.KeyWrapperFactory$ListKeyWrapper.copyKey(KeyWrapperFactory.java:119)
>       at 
> org.apache.hadoop.hive.ql.exec.GroupByOperator.processHashAggr(GroupByOperator.java:827)
>       at 
> org.apache.hadoop.hive.ql.exec.GroupByOperator.processKey(GroupByOperator.java:739)
>       at 
> org.apache.hadoop.hive.ql.exec.GroupByOperator.processOp(GroupByOperator.java:809)
>       ... 16 more
> {noformat}
> Here is a q file:
> {noformat}
> SET hive.vectorized.execution.enabled=false;
> drop table char_2;
> create table char_2 (
>   key char(10),
>   value char(20)
> ) stored as parquet;
> insert overwrite table char_2 select * from src;
> select value, sum(cast(key as int)), count(*) numrows
> from src
> group by value
> order by value asc
> limit 5;
> explain select value, sum(cast(key as int)), count(*) numrows
> from char_2
> group by value
> order by value asc
> limit 5;
> -- should match the query from src
> select value, sum(cast(key as int)), count(*) numrows
> from char_2
> group by value
> order by value asc
> limit 5;
> select value, sum(cast(key as int)), count(*) numrows
> from src
> group by value
> order by value desc
> limit 5;
> explain select value, sum(cast(key as int)), count(*) numrows
> from char_2
> group by value
> order by value desc
> limit 5;
> -- should match the query from src
> select value, sum(cast(key as int)), count(*) numrows
> from char_2
> group by value
> order by value desc
> limit 5;
> drop table char_2;
> {noformat}



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