[jira] [Commented] (HIVE-12165) wrong result when hive.optimize.sampling.orderby=true with some aggregate functions
[
https://issues.apache.org/jira/browse/HIVE-12165?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15157120#comment-15157120
]
Aihua Xu commented on HIVE-12165:
-
Pushed to master. Thanks to Yongzhi to review the code.
> wrong result when hive.optimize.sampling.orderby=true with some aggregate
> functions
> ---
>
> Key: HIVE-12165
> URL: https://issues.apache.org/jira/browse/HIVE-12165
> Project: Hive
> Issue Type: Bug
>Affects Versions: 2.1.0
> Environment: hortonworks 2.3
>Reporter: ErwanMAS
>Assignee: Aihua Xu
>Priority: Critical
> Fix For: 2.1.0
>
> Attachments: HIVE-12165.patch
>
>
> This simple query give wrong result , when , i use the parallel order .
> {noformat}
> select count(*) , count(distinct dummyint ) , min(dummyint),max(dummyint)
> from foobar_1M ;
> {noformat}
> Current wrong result :
> {noformat}
> c0c1 c2 c3
> 32740 32740 0 163695
> 113172113172 163700 729555
> 54088 54088 729560 95
> {noformat}
> Right result :
> {noformat}
> c0c1 c2 c3
> 100 100 0 99
> {noformat}
> The sql script for my test
> {noformat}
> drop table foobar_1 ;
> create table foobar_1 ( dummyint int , dummystr string ) ;
> insert into table foobar_1 select count(*),'dummy 0' from foobar_1 ;
> drop table foobar_1M ;
> create table foobar_1M ( dummyint bigint , dummystr string ) ;
> insert overwrite table foobar_1M
>select val_int , concat('dummy ',val_int) from
> ( select ((d_1*10)+d_2)*10+d_3)*10+d_4)*10+d_5)*10+d_6) as
> val_int from foobar_1
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_1 as d_1
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_2 as d_2
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_3 as d_3
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_4 as d_4
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_5 as d_5
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_6 as d_6 ) as f ;
> set hive.optimize.sampling.orderby.number=1;
> set hive.optimize.sampling.orderby.percent=0.1f;
> set mapreduce.job.reduces=3 ;
> set hive.optimize.sampling.orderby=false;
> select count(*) , count(distinct dummyint ) , min(dummyint),max(dummyint)
> from foobar_1M ;
> set hive.optimize.sampling.orderby=true;
> select count(*) , count(distinct dummyint ) , min(dummyint),max(dummyint)
> from foobar_1M ;
> {noformat}
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[jira] [Commented] (HIVE-12165) wrong result when hive.optimize.sampling.orderby=true with some aggregate functions
[
https://issues.apache.org/jira/browse/HIVE-12165?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15154272#comment-15154272
]
Yongzhi Chen commented on HIVE-12165:
-
In some cases of group by, we need only one reducer to return right result. The
sampling optimizer breaks this logic.
The patch looks good.
+1
> wrong result when hive.optimize.sampling.orderby=true with some aggregate
> functions
> ---
>
> Key: HIVE-12165
> URL: https://issues.apache.org/jira/browse/HIVE-12165
> Project: Hive
> Issue Type: Bug
>Affects Versions: 2.1.0
> Environment: hortonworks 2.3
>Reporter: ErwanMAS
>Assignee: Aihua Xu
>Priority: Critical
> Attachments: HIVE-12165.patch
>
>
> This simple query give wrong result , when , i use the parallel order .
> {noformat}
> select count(*) , count(distinct dummyint ) , min(dummyint),max(dummyint)
> from foobar_1M ;
> {noformat}
> Current wrong result :
> {noformat}
> c0c1 c2 c3
> 32740 32740 0 163695
> 113172113172 163700 729555
> 54088 54088 729560 95
> {noformat}
> Right result :
> {noformat}
> c0c1 c2 c3
> 100 100 0 99
> {noformat}
> The sql script for my test
> {noformat}
> drop table foobar_1 ;
> create table foobar_1 ( dummyint int , dummystr string ) ;
> insert into table foobar_1 select count(*),'dummy 0' from foobar_1 ;
> drop table foobar_1M ;
> create table foobar_1M ( dummyint bigint , dummystr string ) ;
> insert overwrite table foobar_1M
>select val_int , concat('dummy ',val_int) from
> ( select ((d_1*10)+d_2)*10+d_3)*10+d_4)*10+d_5)*10+d_6) as
> val_int from foobar_1
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_1 as d_1
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_2 as d_2
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_3 as d_3
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_4 as d_4
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_5 as d_5
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_6 as d_6 ) as f ;
> set hive.optimize.sampling.orderby.number=1;
> set hive.optimize.sampling.orderby.percent=0.1f;
> set mapreduce.job.reduces=3 ;
> set hive.optimize.sampling.orderby=false;
> select count(*) , count(distinct dummyint ) , min(dummyint),max(dummyint)
> from foobar_1M ;
> set hive.optimize.sampling.orderby=true;
> select count(*) , count(distinct dummyint ) , min(dummyint),max(dummyint)
> from foobar_1M ;
> {noformat}
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[jira] [Commented] (HIVE-12165) wrong result when hive.optimize.sampling.orderby=true with some aggregate functions
[
https://issues.apache.org/jira/browse/HIVE-12165?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15152560#comment-15152560
]
Hive QA commented on HIVE-12165:
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12788323/HIVE-12165.patch
{color:red}ERROR:{color} -1 due to no test(s) being added or modified.
{color:red}ERROR:{color} -1 due to 7 failed/errored test(s), 9790 tests executed
*Failed tests:*
{noformat}
TestMiniTezCliDriver-vector_distinct_2.q-load_dyn_part2.q-bucket3.q-and-12-more
- did not produce a TEST-*.xml file
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_partition_coltype_literals
org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver_stats_only_null
org.apache.hadoop.hive.cli.TestNegativeCliDriver.testNegativeCliDriver_authorization_uri_import
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver_stats_only_null
org.apache.hive.jdbc.TestJdbcWithMiniHS2.testAddJarDataNucleusUnCaching
org.apache.hive.jdbc.TestSSL.testSSLVersion
{noformat}
Test results:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/7019/testReport
Console output:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/7019/console
Test logs:
http://ec2-174-129-184-35.compute-1.amazonaws.com/logs/PreCommit-HIVE-TRUNK-Build-7019/
Messages:
{noformat}
Executing org.apache.hive.ptest.execution.TestCheckPhase
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: 7 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12788323 - PreCommit-HIVE-TRUNK-Build
> wrong result when hive.optimize.sampling.orderby=true with some aggregate
> functions
> ---
>
> Key: HIVE-12165
> URL: https://issues.apache.org/jira/browse/HIVE-12165
> Project: Hive
> Issue Type: Bug
>Affects Versions: 2.1.0
> Environment: hortonworks 2.3
>Reporter: ErwanMAS
>Assignee: Aihua Xu
>Priority: Critical
> Attachments: HIVE-12165.patch
>
>
> This simple query give wrong result , when , i use the parallel order .
> {noformat}
> select count(*) , count(distinct dummyint ) , min(dummyint),max(dummyint)
> from foobar_1M ;
> {noformat}
> Current wrong result :
> {noformat}
> c0c1 c2 c3
> 32740 32740 0 163695
> 113172113172 163700 729555
> 54088 54088 729560 95
> {noformat}
> Right result :
> {noformat}
> c0c1 c2 c3
> 100 100 0 99
> {noformat}
> The sql script for my test
> {noformat}
> drop table foobar_1 ;
> create table foobar_1 ( dummyint int , dummystr string ) ;
> insert into table foobar_1 select count(*),'dummy 0' from foobar_1 ;
> drop table foobar_1M ;
> create table foobar_1M ( dummyint bigint , dummystr string ) ;
> insert overwrite table foobar_1M
>select val_int , concat('dummy ',val_int) from
> ( select ((d_1*10)+d_2)*10+d_3)*10+d_4)*10+d_5)*10+d_6) as
> val_int from foobar_1
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_1 as d_1
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_2 as d_2
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_3 as d_3
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_4 as d_4
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_5 as d_5
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_6 as d_6 ) as f ;
> set hive.optimize.sampling.orderby.number=1;
> set hive.optimize.sampling.orderby.percent=0.1f;
> set mapreduce.job.reduces=3 ;
> set hive.optimize.sampling.orderby=false;
> select count(*) , count(distinct dummyint ) , min(dummyint),max(dummyint)
> from foobar_1M ;
> set hive.optimize.sampling.orderby=true;
> select count(*) , count(distinct dummyint ) , min(dummyint),max(dummyint)
> from foobar_1M ;
> {noformat}
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[jira] [Commented] (HIVE-12165) wrong result when hive.optimize.sampling.orderby=true with some aggregate functions
[
https://issues.apache.org/jira/browse/HIVE-12165?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15134435#comment-15134435
]
Aihua Xu commented on HIVE-12165:
-
Internally when the query is compiled, an order by is added and we are trying
to do a parallel order by for this case. Ideally maybe we can do another reduce
to merge the result. But that probably is big change. I will force it to use 1
reducer for this case just the same as hive.optimize.sampling.orderby=false
right now.
> wrong result when hive.optimize.sampling.orderby=true with some aggregate
> functions
> ---
>
> Key: HIVE-12165
> URL: https://issues.apache.org/jira/browse/HIVE-12165
> Project: Hive
> Issue Type: Bug
> Environment: hortonworks 2.3
>Reporter: ErwanMAS
>Assignee: Aihua Xu
>Priority: Critical
>
> This simple query give wrong result , when , i use the parallel order .
> {noformat}
> select count(*) , count(distinct dummyint ) , min(dummyint),max(dummyint)
> from foobar_1M ;
> {noformat}
> Current wrong result :
> {noformat}
> c0c1 c2 c3
> 32740 32740 0 163695
> 113172113172 163700 729555
> 54088 54088 729560 95
> {noformat}
> Right result :
> {noformat}
> c0c1 c2 c3
> 100 100 0 99
> {noformat}
> The sql script for my test
> {noformat}
> drop table foobar_1 ;
> create table foobar_1 ( dummyint int , dummystr string ) ;
> insert into table foobar_1 select count(*),'dummy 0' from foobar_1 ;
> drop table foobar_1M ;
> create table foobar_1M ( dummyint bigint , dummystr string ) ;
> insert overwrite table foobar_1M
>select val_int , concat('dummy ',val_int) from
> ( select ((d_1*10)+d_2)*10+d_3)*10+d_4)*10+d_5)*10+d_6) as
> val_int from foobar_1
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_1 as d_1
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_2 as d_2
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_3 as d_3
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_4 as d_4
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_5 as d_5
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_6 as d_6 ) as f ;
> set hive.optimize.sampling.orderby.number=1;
> set hive.optimize.sampling.orderby.percent=0.1f;
> set mapreduce.job.reduces=3 ;
> set hive.optimize.sampling.orderby=false;
> select count(*) , count(distinct dummyint ) , min(dummyint),max(dummyint)
> from foobar_1M ;
> set hive.optimize.sampling.orderby=true;
> select count(*) , count(distinct dummyint ) , min(dummyint),max(dummyint)
> from foobar_1M ;
> {noformat}
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[jira] [Commented] (HIVE-12165) wrong result when hive.optimize.sampling.orderby=true with some aggregate functions
[
https://issues.apache.org/jira/browse/HIVE-12165?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15075222#comment-15075222
]
ErwanMAS commented on HIVE-12165:
-
{noformat}
set hive.optimize.sampling.orderby.number=1;
{noformat}
does not work , it will not use 3 reducers to do the sort
> wrong result when hive.optimize.sampling.orderby=true with some aggregate
> functions
> ---
>
> Key: HIVE-12165
> URL: https://issues.apache.org/jira/browse/HIVE-12165
> Project: Hive
> Issue Type: Bug
> Environment: hortonworks 2.3
>Reporter: ErwanMAS
>Priority: Critical
>
> This simple query give wrong result , when , i use the parallel order .
> {noformat}
> select count(*) , count(distinct dummyint ) , min(dummyint),max(dummyint)
> from foobar_1M ;
> {noformat}
> Current wrong result :
> {noformat}
> c0c1 c2 c3
> 32740 32740 0 163695
> 113172113172 163700 729555
> 54088 54088 729560 95
> {noformat}
> Right result :
> {noformat}
> c0c1 c2 c3
> 100 100 0 99
> {noformat}
> The sql script for my test
> {noformat}
> drop table foobar_1 ;
> create table foobar_1 ( dummyint int , dummystr string ) ;
> insert into table foobar_1 select count(*),'dummy 0' from foobar_1 ;
> drop table foobar_1M ;
> create table foobar_1M ( dummyint bigint , dummystr string ) ;
> insert overwrite table foobar_1M
>select val_int , concat('dummy ',val_int) from
> ( select ((d_1*10)+d_2)*10+d_3)*10+d_4)*10+d_5)*10+d_6) as
> val_int from foobar_1
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_1 as d_1
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_2 as d_2
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_3 as d_3
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_4 as d_4
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_5 as d_5
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_6 as d_6 ) as f ;
> set hive.optimize.sampling.orderby.number=1;
> set hive.optimize.sampling.orderby.percent=0.1f;
> set mapreduce.job.reduces=3 ;
> set hive.optimize.sampling.orderby=false;
> select count(*) , count(distinct dummyint ) , min(dummyint),max(dummyint)
> from foobar_1M ;
> set hive.optimize.sampling.orderby=true;
> select count(*) , count(distinct dummyint ) , min(dummyint),max(dummyint)
> from foobar_1M ;
> {noformat}
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[jira] [Commented] (HIVE-12165) wrong result when hive.optimize.sampling.orderby=true with some aggregate functions
[
https://issues.apache.org/jira/browse/HIVE-12165?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14981106#comment-14981106
]
Aihua Xu commented on HIVE-12165:
-
Can we retry with the latest? I don't see such issue on the latest 2.0 version.
> wrong result when hive.optimize.sampling.orderby=true with some aggregate
> functions
> ---
>
> Key: HIVE-12165
> URL: https://issues.apache.org/jira/browse/HIVE-12165
> Project: Hive
> Issue Type: Bug
> Environment: hortonworks 2.3
>Reporter: ErwanMAS
>Priority: Critical
>
> This simple query give wrong result , when , i use the parallel order .
> {noformat}
> select count(*) , count(distinct dummyint ) , min(dummyint),max(dummyint)
> from foobar_1M ;
> {noformat}
> Current wrong result :
> {noformat}
> c0c1 c2 c3
> 32740 32740 0 163695
> 113172113172 163700 729555
> 54088 54088 729560 95
> {noformat}
> Right result :
> {noformat}
> c0c1 c2 c3
> 100 100 0 99
> {noformat}
> The sql script for my test
> {noformat}
> drop table foobar_1 ;
> create table foobar_1 ( dummyint int , dummystr string ) ;
> insert into table foobar_1 select count(*),'dummy 0' from foobar_1 ;
> drop table foobar_1M ;
> create table foobar_1M ( dummyint bigint , dummystr string ) ;
> insert overwrite table foobar_1M
>select val_int , concat('dummy ',val_int) from
> ( select ((d_1*10)+d_2)*10+d_3)*10+d_4)*10+d_5)*10+d_6) as
> val_int from foobar_1
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_1 as d_1
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_2 as d_2
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_3 as d_3
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_4 as d_4
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_5 as d_5
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_6 as d_6 ) as f ;
> set hive.optimize.sampling.orderby.number=1;
> set hive.optimize.sampling.orderby.percent=0.1f;
> set mapreduce.job.reduces=3 ;
> set hive.optimize.sampling.orderby=false;
> select count(*) , count(distinct dummyint ) , min(dummyint),max(dummyint)
> from foobar_1M ;
> set hive.optimize.sampling.orderby=true;
> select count(*) , count(distinct dummyint ) , min(dummyint),max(dummyint)
> from foobar_1M ;
> {noformat}
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[jira] [Commented] (HIVE-12165) wrong result when hive.optimize.sampling.orderby=true with some aggregate functions
[
https://issues.apache.org/jira/browse/HIVE-12165?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14981773#comment-14981773
]
ErwanMAS commented on HIVE-12165:
-
i have the issue , with the lastest source from git .
I use MR as engine .
> wrong result when hive.optimize.sampling.orderby=true with some aggregate
> functions
> ---
>
> Key: HIVE-12165
> URL: https://issues.apache.org/jira/browse/HIVE-12165
> Project: Hive
> Issue Type: Bug
> Environment: hortonworks 2.3
>Reporter: ErwanMAS
>Priority: Critical
>
> This simple query give wrong result , when , i use the parallel order .
> {noformat}
> select count(*) , count(distinct dummyint ) , min(dummyint),max(dummyint)
> from foobar_1M ;
> {noformat}
> Current wrong result :
> {noformat}
> c0c1 c2 c3
> 32740 32740 0 163695
> 113172113172 163700 729555
> 54088 54088 729560 95
> {noformat}
> Right result :
> {noformat}
> c0c1 c2 c3
> 100 100 0 99
> {noformat}
> The sql script for my test
> {noformat}
> drop table foobar_1 ;
> create table foobar_1 ( dummyint int , dummystr string ) ;
> insert into table foobar_1 select count(*),'dummy 0' from foobar_1 ;
> drop table foobar_1M ;
> create table foobar_1M ( dummyint bigint , dummystr string ) ;
> insert overwrite table foobar_1M
>select val_int , concat('dummy ',val_int) from
> ( select ((d_1*10)+d_2)*10+d_3)*10+d_4)*10+d_5)*10+d_6) as
> val_int from foobar_1
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_1 as d_1
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_2 as d_2
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_3 as d_3
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_4 as d_4
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_5 as d_5
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_6 as d_6 ) as f ;
> set hive.optimize.sampling.orderby.number=1;
> set hive.optimize.sampling.orderby.percent=0.1f;
> set mapreduce.job.reduces=3 ;
> set hive.optimize.sampling.orderby=false;
> select count(*) , count(distinct dummyint ) , min(dummyint),max(dummyint)
> from foobar_1M ;
> set hive.optimize.sampling.orderby=true;
> select count(*) , count(distinct dummyint ) , min(dummyint),max(dummyint)
> from foobar_1M ;
> {noformat}
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[jira] [Commented] (HIVE-12165) wrong result when hive.optimize.sampling.orderby=true with some aggregate functions
[
https://issues.apache.org/jira/browse/HIVE-12165?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14960158#comment-14960158
]
Chetna Chaudhari commented on HIVE-12165:
-
[~ErwanMAS]: +1 I am able to reproduce this issue.
A workaround to this is to 'set hive.optimize.sampling.orderby.number=1;'.
After this setting it returned correct results.
> wrong result when hive.optimize.sampling.orderby=true with some aggregate
> functions
> ---
>
> Key: HIVE-12165
> URL: https://issues.apache.org/jira/browse/HIVE-12165
> Project: Hive
> Issue Type: Bug
> Environment: hortonworks 2.3
>Reporter: ErwanMAS
>Priority: Critical
>
> This simple query give wrong result , when , i use the parallel order .
> {noformat}
> select count(*) , count(distinct dummyint ) , min(dummyint),max(dummyint)
> from foobar_1M ;
> {noformat}
> Current wrong result :
> {noformat}
> c0c1 c2 c3
> 32740 32740 0 163695
> 113172113172 163700 729555
> 54088 54088 729560 95
> {noformat}
> Right result :
> {noformat}
> c0c1 c2 c3
> 100 100 0 99
> {noformat}
> The sql script for my test
> {noformat}
> drop table foobar_1 ;
> create table foobar_1 ( dummyint int , dummystr string ) ;
> insert into table foobar_1 select count(*),'dummy 0' from foobar_1 ;
> drop table foobar_1M ;
> create table foobar_1M ( dummyint bigint , dummystr string ) ;
> insert overwrite table foobar_1M
>select val_int , concat('dummy ',val_int) from
> ( select ((d_1*10)+d_2)*10+d_3)*10+d_4)*10+d_5)*10+d_6) as
> val_int from foobar_1
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_1 as d_1
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_2 as d_2
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_3 as d_3
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_4 as d_4
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_5 as d_5
> lateral view outer explode(split("0,1,2,3,4,5,6,7,8,9",","))
> tbl_6 as d_6 ) as f ;
> set hive.optimize.sampling.orderby.number=1;
> set hive.optimize.sampling.orderby.percent=0.1f;
> set mapreduce.job.reduces=3 ;
> set hive.optimize.sampling.orderby=false;
> select count(*) , count(distinct dummyint ) , min(dummyint),max(dummyint)
> from foobar_1M ;
> set hive.optimize.sampling.orderby=true;
> select count(*) , count(distinct dummyint ) , min(dummyint),max(dummyint)
> from foobar_1M ;
> {noformat}
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