[
https://issues.apache.org/jira/browse/HIVE-15796?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15873343#comment-15873343
]
Hive QA commented on HIVE-15796:
--------------------------------
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12853432/HIVE-15796.5.patch
{color:green}SUCCESS:{color} +1 due to 1 test(s) being added or modified.
{color:red}ERROR:{color} -1 due to 25 failed/errored test(s), 10245 tests
executed
*Failed tests:*
{noformat}
TestDerbyConnector - did not produce a TEST-*.xml file (likely timed out)
(batchId=235)
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[cbo_rp_auto_join1]
(batchId=3)
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[interval_arithmetic]
(batchId=43)
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[join31] (batchId=81)
org.apache.hadoop.hive.cli.TestEncryptedHDFSCliDriver.testCliDriver[encryption_join_with_different_encryption_keys]
(batchId=159)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[multiMapJoin2]
(batchId=152)
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[infer_bucket_sort_reducers_power_two]
(batchId=160)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[auto_join0]
(batchId=132)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[auto_join23]
(batchId=103)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[cross_product_check_1]
(batchId=115)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[cross_product_check_2]
(batchId=133)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[join0] (batchId=120)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[join23]
(batchId=113)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[join31]
(batchId=133)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[multi_insert_gby3]
(batchId=127)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[union11]
(batchId=124)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[union14]
(batchId=99)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[union15]
(batchId=133)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[union17]
(batchId=125)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[union19]
(batchId=120)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[union20]
(batchId=97)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[union3]
(batchId=121)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[union5]
(batchId=105)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[union7]
(batchId=122)
org.apache.hive.beeline.TestBeeLineWithArgs.testQueryProgressParallel
(batchId=211)
{noformat}
Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/3649/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/3649/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-3649/
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: 25 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12853432 - PreCommit-HIVE-Build
> HoS: poor reducer parallelism when operator stats are not accurate
> ------------------------------------------------------------------
>
> Key: HIVE-15796
> URL: https://issues.apache.org/jira/browse/HIVE-15796
> Project: Hive
> Issue Type: Improvement
> Components: Statistics
> Affects Versions: 2.2.0
> Reporter: Chao Sun
> Assignee: Chao Sun
> Attachments: HIVE-15796.1.patch, HIVE-15796.2.patch,
> HIVE-15796.3.patch, HIVE-15796.4.patch, HIVE-15796.5.patch,
> HIVE-15796.wip.1.patch, HIVE-15796.wip.2.patch, HIVE-15796.wip.patch
>
>
> In HoS we use currently use operator stats to determine reducer parallelism.
> However, it is often the case that operator stats are not accurate,
> especially if column stats are not available. This sometimes will generate
> extremely poor reducer parallelism, and cause HoS query to run forever.
> This JIRA tries to offer an alternative way to compute reducer parallelism,
> similar to how MR does. Here's the approach we are suggesting:
> 1. when computing the parallelism for a MapWork, use stats associated with
> the TableScan operator;
> 2. when computing the parallelism for a ReduceWork, use the *maximum*
> parallelism from all its parents.
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