[ 
https://issues.apache.org/jira/browse/HIVE-17486?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16293809#comment-16293809
 ] 

Hive QA commented on HIVE-17486:
--------------------------------



Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12902486/HIVE-17486.4.patch

{color:green}SUCCESS:{color} +1 due to 1 test(s) being added or modified.

{color:red}ERROR:{color} -1 due to 19 failed/errored test(s), 11529 tests 
executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[auto_join25] (batchId=72)
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[auto_sortmerge_join_2] 
(batchId=48)
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[ppd_join5] (batchId=35)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[bucketsortoptimize_insert_2]
 (batchId=152)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[hybridgrace_hashjoin_2]
 (batchId=157)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[insert_values_orig_table_use_metadata]
 (batchId=165)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[llap_acid] 
(batchId=169)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[llap_acid_fast]
 (batchId=160)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[quotedid_smb]
 (batchId=157)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[sysdb] 
(batchId=160)
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[bucketizedhiveinputformat]
 (batchId=178)
org.apache.hadoop.hive.cli.TestNegativeCliDriver.testCliDriver[authorization_part]
 (batchId=93)
org.apache.hadoop.hive.cli.TestNegativeCliDriver.testCliDriver[stats_aggregator_error_1]
 (batchId=93)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[auto_sortmerge_join_10]
 (batchId=138)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[bucketsortoptimize_insert_7]
 (batchId=128)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[ppd_join5] 
(batchId=120)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[subquery_multi] 
(batchId=113)
org.apache.hadoop.hive.cli.control.TestDanglingQOuts.checkDanglingQOut 
(batchId=209)
org.apache.hadoop.hive.ql.parse.TestReplicationScenarios.testConstraints 
(batchId=226)
{noformat}

Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/8291/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/8291/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-8291/

Messages:
{noformat}
Executing org.apache.hive.ptest.execution.TestCheckPhase
Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.YetusPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase
Tests exited with: TestsFailedException: 19 tests failed
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12902486 - PreCommit-HIVE-Build

> Enable SharedWorkOptimizer in tez on HOS
> ----------------------------------------
>
>                 Key: HIVE-17486
>                 URL: https://issues.apache.org/jira/browse/HIVE-17486
>             Project: Hive
>          Issue Type: Bug
>            Reporter: liyunzhang
>            Assignee: liyunzhang
>         Attachments: HIVE-17486.1.patch, HIVE-17486.2.patch, 
> HIVE-17486.3.patch, HIVE-17486.4.patch, explain.28.share.false, 
> explain.28.share.true, scanshare.after.svg, scanshare.before.svg
>
>
> in HIVE-16602, Implement shared scans with Tez.
> Given a query plan, the goal is to identify scans on input tables that can be 
> merged so the data is read only once. Optimization will be carried out at the 
> physical level.  In Hive on Spark, it caches the result of spark work if the 
> spark work is used by more than 1 child spark work. After sharedWorkOptimizer 
> is enabled in physical plan in HoS, the identical table scans are merged to 1 
> table scan. This result of table scan will be used by more 1 child spark 
> work. Thus we need not do the same computation because of cache mechanism.



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