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Hive QA commented on HIVE-15796: -------------------------------- Here are the results of testing the latest attachment: https://issues.apache.org/jira/secure/attachment/12851528/HIVE-15796.1.patch {color:red}ERROR:{color} -1 due to build exiting with an error Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/3429/testReport Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/3429/console Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-3429/ Messages: {noformat} Executing org.apache.hive.ptest.execution.TestCheckPhase Executing org.apache.hive.ptest.execution.PrepPhase Tests exited with: NonZeroExitCodeException Command 'bash /data/hiveptest/working/scratch/source-prep.sh' failed with exit status 1 and output '+ date '+%Y-%m-%d %T.%3N' 2017-02-08 04:50:23.401 + [[ -n /usr/lib/jvm/java-8-openjdk-amd64 ]] + export JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64 + JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64 + export PATH=/usr/lib/jvm/java-8-openjdk-amd64/bin/:/usr/local/bin:/usr/bin:/bin:/usr/local/games:/usr/games + PATH=/usr/lib/jvm/java-8-openjdk-amd64/bin/:/usr/local/bin:/usr/bin:/bin:/usr/local/games:/usr/games + export 'ANT_OPTS=-Xmx1g -XX:MaxPermSize=256m ' + ANT_OPTS='-Xmx1g -XX:MaxPermSize=256m ' + export 'MAVEN_OPTS=-Xmx1g ' + MAVEN_OPTS='-Xmx1g ' + cd /data/hiveptest/working/ + tee /data/hiveptest/logs/PreCommit-HIVE-Build-3429/source-prep.txt + [[ false == \t\r\u\e ]] + mkdir -p maven ivy + [[ git = \s\v\n ]] + [[ git = \g\i\t ]] + [[ -z master ]] + [[ -d apache-github-source-source ]] + [[ ! -d apache-github-source-source/.git ]] + [[ ! -d apache-github-source-source ]] + date '+%Y-%m-%d %T.%3N' 2017-02-08 04:50:23.404 + cd apache-github-source-source + git fetch origin + git reset --hard HEAD HEAD is now at aa62dad HIVE-15840: Webhcat test TestPig_5 failing with Pig on Tez at check for percent complete of job (Daniel Dai, reviewed by Thejas Nair) + git clean -f -d Removing ql/src/test/queries/clientpositive/view_cbo.q Removing ql/src/test/results/clientpositive/view_cbo.q.out + git checkout master Already on 'master' Your branch is up-to-date with 'origin/master'. + git reset --hard origin/master HEAD is now at aa62dad HIVE-15840: Webhcat test TestPig_5 failing with Pig on Tez at check for percent complete of job (Daniel Dai, reviewed by Thejas Nair) + git merge --ff-only origin/master Already up-to-date. + date '+%Y-%m-%d %T.%3N' 2017-02-08 04:50:24.414 + patchCommandPath=/data/hiveptest/working/scratch/smart-apply-patch.sh + patchFilePath=/data/hiveptest/working/scratch/build.patch + [[ -f /data/hiveptest/working/scratch/build.patch ]] + chmod +x /data/hiveptest/working/scratch/smart-apply-patch.sh + /data/hiveptest/working/scratch/smart-apply-patch.sh /data/hiveptest/working/scratch/build.patch error: patch failed: common/src/java/org/apache/hadoop/hive/conf/HiveConf.java:2886 error: common/src/java/org/apache/hadoop/hive/conf/HiveConf.java: patch does not apply error: patch failed: ql/src/test/results/clientpositive/spark/subquery_in.q.out:6260 error: ql/src/test/results/clientpositive/spark/subquery_in.q.out: patch does not apply The patch does not appear to apply with p0, p1, or p2 + exit 1 ' {noformat} This message is automatically generated. ATTACHMENT ID: 12851528 - 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.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. -- This message was sent by Atlassian JIRA (v6.3.15#6346)