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https://issues.apache.org/jira/browse/HIVE-11110?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15048749#comment-15048749
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Hive QA commented on HIVE-11110:
--------------------------------
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12776480/HIVE-11110.33.patch
{color:green}SUCCESS:{color} +1 due to 1 test(s) being added or modified.
{color:red}ERROR:{color} -1 due to 9 failed/errored test(s), 9885 tests executed
*Failed tests:*
{noformat}
TestHWISessionManager - did not produce a TEST-*.xml file
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_ivyDownload
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_order2
org.apache.hadoop.hive.cli.TestEncryptedHDFSCliDriver.testCliDriver_encryption_insert_partition_dynamic
org.apache.hadoop.hive.cli.TestEncryptedHDFSCliDriver.testCliDriver_encryption_join_with_different_encryption_keys
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver_constprog_partitioner
org.apache.hadoop.hive.cli.TestNegativeCliDriver.testNegativeCliDriver_authorization_uri_import
org.apache.hadoop.hive.metastore.TestHiveMetaStorePartitionSpecs.testGetPartitionSpecs_WithAndWithoutPartitionGrouping
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/6291/testReport
Console output:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/6291/console
Test logs:
http://ec2-174-129-184-35.compute-1.amazonaws.com/logs/PreCommit-HIVE-TRUNK-Build-6291/
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: 9 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12776480 - PreCommit-HIVE-TRUNK-Build
> Reorder applyPreJoinOrderingTransforms, add NotNULL/FilterMerge rules,
> improve Filter selectivity estimation
> ------------------------------------------------------------------------------------------------------------
>
> Key: HIVE-11110
> URL: https://issues.apache.org/jira/browse/HIVE-11110
> Project: Hive
> Issue Type: Bug
> Components: CBO
> Reporter: Jesus Camacho Rodriguez
> Assignee: Laljo John Pullokkaran
> Attachments: HIVE-11110-10.patch, HIVE-11110-11.patch,
> HIVE-11110-12.patch, HIVE-11110-branch-1.2.patch, HIVE-11110.1.patch,
> HIVE-11110.13.patch, HIVE-11110.14.patch, HIVE-11110.15.patch,
> HIVE-11110.16.patch, HIVE-11110.17.patch, HIVE-11110.18.patch,
> HIVE-11110.19.patch, HIVE-11110.2.patch, HIVE-11110.20.patch,
> HIVE-11110.21.patch, HIVE-11110.22.patch, HIVE-11110.23.patch,
> HIVE-11110.24.patch, HIVE-11110.25.patch, HIVE-11110.26.patch, HIVE-11110.27,
> HIVE-11110.27.patch, HIVE-11110.28.patch, HIVE-11110.29.patch,
> HIVE-11110.30.patch, HIVE-11110.31.patch, HIVE-11110.32.patch,
> HIVE-11110.33.patch, HIVE-11110.4.patch, HIVE-11110.5.patch,
> HIVE-11110.6.patch, HIVE-11110.7.patch, HIVE-11110.8.patch,
> HIVE-11110.9.patch, HIVE-11110.91.patch, HIVE-11110.92.patch, HIVE-11110.patch
>
>
> Query
> {code}
> select count(*)
> from store_sales
> ,store_returns
> ,date_dim d1
> ,date_dim d2
> where d1.d_quarter_name = '2000Q1'
> and d1.d_date_sk = ss_sold_date_sk
> and ss_customer_sk = sr_customer_sk
> and ss_item_sk = sr_item_sk
> and ss_ticket_number = sr_ticket_number
> and sr_returned_date_sk = d2.d_date_sk
> and d2.d_quarter_name in ('2000Q1','2000Q2','2000Q3’);
> {code}
> The store_sales table is partitioned on ss_sold_date_sk, which is also used
> in a join clause. The join clause should add a filter “filterExpr:
> ss_sold_date_sk is not null”, which should get pushed the MetaStore when
> fetching the stats. Currently this is not done in CBO planning, which results
> in the stats from __HIVE_DEFAULT_PARTITION__ to be fetched and considered in
> the optimization phase. In particular, this increases the NDV for the join
> columns and may result in wrong planning.
> Including HiveJoinAddNotNullRule in the optimization phase solves this issue.
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