[
https://issues.apache.org/jira/browse/HIVE-20090?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16535604#comment-16535604
]
Hive QA commented on HIVE-20090:
--------------------------------
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12930483/HIVE-20090.02.patch
{color:green}SUCCESS:{color} +1 due to 1 test(s) being added or modified.
{color:red}ERROR:{color} -1 due to 39 failed/errored test(s), 14631 tests
executed
*Failed tests:*
{noformat}
TestSparkStatistics - did not produce a TEST-*.xml file (likely timed out)
(batchId=240)
org.apache.hadoop.hive.cli.TestMiniLlapCliDriver.testCliDriver[dynamic_semijoin_user_level]
(batchId=152)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[acid_no_buckets]
(batchId=172)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[dynamic_partition_pruning]
(batchId=162)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[dynamic_semijoin_reduction]
(batchId=167)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[dynamic_semijoin_reduction_2]
(batchId=174)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[explainuser_1]
(batchId=164)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[tez_fixed_bucket_pruning]
(batchId=175)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[vectorized_dynamic_partition_pruning]
(batchId=162)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[vectorized_dynamic_semijoin_reduction]
(batchId=156)
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[spark_dynamic_partition_pruning_3]
(batchId=186)
org.apache.hadoop.hive.cli.TestTezPerfCliDriver.testCliDriver[query16]
(batchId=261)
org.apache.hadoop.hive.cli.TestTezPerfCliDriver.testCliDriver[query17]
(batchId=261)
org.apache.hadoop.hive.cli.TestTezPerfCliDriver.testCliDriver[query18]
(batchId=261)
org.apache.hadoop.hive.cli.TestTezPerfCliDriver.testCliDriver[query1]
(batchId=261)
org.apache.hadoop.hive.cli.TestTezPerfCliDriver.testCliDriver[query23]
(batchId=261)
org.apache.hadoop.hive.cli.TestTezPerfCliDriver.testCliDriver[query24]
(batchId=261)
org.apache.hadoop.hive.cli.TestTezPerfCliDriver.testCliDriver[query25]
(batchId=261)
org.apache.hadoop.hive.cli.TestTezPerfCliDriver.testCliDriver[query29]
(batchId=261)
org.apache.hadoop.hive.cli.TestTezPerfCliDriver.testCliDriver[query2]
(batchId=261)
org.apache.hadoop.hive.cli.TestTezPerfCliDriver.testCliDriver[query31]
(batchId=261)
org.apache.hadoop.hive.cli.TestTezPerfCliDriver.testCliDriver[query32]
(batchId=261)
org.apache.hadoop.hive.cli.TestTezPerfCliDriver.testCliDriver[query39]
(batchId=261)
org.apache.hadoop.hive.cli.TestTezPerfCliDriver.testCliDriver[query40]
(batchId=261)
org.apache.hadoop.hive.cli.TestTezPerfCliDriver.testCliDriver[query50]
(batchId=261)
org.apache.hadoop.hive.cli.TestTezPerfCliDriver.testCliDriver[query54]
(batchId=261)
org.apache.hadoop.hive.cli.TestTezPerfCliDriver.testCliDriver[query59]
(batchId=261)
org.apache.hadoop.hive.cli.TestTezPerfCliDriver.testCliDriver[query5]
(batchId=261)
org.apache.hadoop.hive.cli.TestTezPerfCliDriver.testCliDriver[query64]
(batchId=261)
org.apache.hadoop.hive.cli.TestTezPerfCliDriver.testCliDriver[query69]
(batchId=261)
org.apache.hadoop.hive.cli.TestTezPerfCliDriver.testCliDriver[query72]
(batchId=261)
org.apache.hadoop.hive.cli.TestTezPerfCliDriver.testCliDriver[query77]
(batchId=261)
org.apache.hadoop.hive.cli.TestTezPerfCliDriver.testCliDriver[query78]
(batchId=261)
org.apache.hadoop.hive.cli.TestTezPerfCliDriver.testCliDriver[query80]
(batchId=261)
org.apache.hadoop.hive.cli.TestTezPerfCliDriver.testCliDriver[query91]
(batchId=261)
org.apache.hadoop.hive.cli.TestTezPerfCliDriver.testCliDriver[query92]
(batchId=261)
org.apache.hadoop.hive.cli.TestTezPerfCliDriver.testCliDriver[query93]
(batchId=261)
org.apache.hadoop.hive.cli.TestTezPerfCliDriver.testCliDriver[query94]
(batchId=261)
org.apache.hadoop.hive.cli.TestTezPerfCliDriver.testCliDriver[query95]
(batchId=261)
{noformat}
Test results:
https://builds.apache.org/job/PreCommit-HIVE-Build/12435/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/12435/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-12435/
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: 39 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12930483 - PreCommit-HIVE-Build
> Extend creation of semijoin reduction filters to be able to discover new
> opportunities
> --------------------------------------------------------------------------------------
>
> Key: HIVE-20090
> URL: https://issues.apache.org/jira/browse/HIVE-20090
> Project: Hive
> Issue Type: Improvement
> Components: Physical Optimizer
> Reporter: Jesus Camacho Rodriguez
> Assignee: Jesus Camacho Rodriguez
> Priority: Major
> Attachments: HIVE-20090.01.patch, HIVE-20090.02.patch
>
>
> Assume the following plan:
> {noformat}
> TS[0] - RS[1] - JOIN[4] - RS[5] - JOIN[8] - FS[9]
> TS[2] - RS[3] - JOIN[4]
> TS[6] - RS[7] - JOIN[8]
> {noformat}
> Currently, {{TS\[6\]}} may only be reduced with the output of {{RS\[5\]}},
> i.e., input to join between both subplans.
> However, it may be useful to consider other possibilities too, e.g., reduced
> by the output of {{RS\[1\]}} or {{RS\[3\]}}. For instance, this is important
> when, given a large plan, an edge between {{RS[5]}} and {{TS[0]}} would
> create a cycle, while an edge between {{RS[1]}} and {{TS[6]}} would not.
> This patch comprises two parts. First, it creates additional predicates when
> possible. Secondly, it removes duplicate semijoin reduction
> branches/predicates, e.g., if another semijoin that consumes the output of
> the same expression already reduces a certain table scan operator (heuristic,
> since this may not result in most efficient plan in all cases). Ultimately,
> the decision on whether to use one or another should be cost-driven
> (follow-up).
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