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Hive QA commented on HIVE-11954: -------------------------------- {color:red}Overall{color}: -1 at least one tests failed Here are the results of testing the latest attachment: https://issues.apache.org/jira/secure/attachment/12762593/HIVE-11954.01.patch {color:red}ERROR:{color} -1 due to 4 failed/errored test(s), 9646 tests executed *Failed tests:* {noformat} org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_vector_groupby_reduce org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver_auto_sortmerge_join_12 org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver_vector_groupby_reduce org.apache.hive.hcatalog.api.TestHCatClient.testTableSchemaPropagation {noformat} Test results: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/5457/testReport Console output: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/5457/console Test logs: http://ec2-174-129-184-35.compute-1.amazonaws.com/logs/PreCommit-HIVE-TRUNK-Build-5457/ Messages: {noformat} 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: 4 tests failed {noformat} This message is automatically generated. ATTACHMENT ID: 12762593 - PreCommit-HIVE-TRUNK-Build > Extend logic to choose side table in MapJoin Conversion algorithm > ----------------------------------------------------------------- > > Key: HIVE-11954 > URL: https://issues.apache.org/jira/browse/HIVE-11954 > Project: Hive > Issue Type: Bug > Components: Physical Optimizer > Affects Versions: 2.0.0 > Reporter: Jesus Camacho Rodriguez > Assignee: Jesus Camacho Rodriguez > Attachments: HIVE-11954.01.patch, HIVE-11954.patch, HIVE-11954.patch > > > Selection of side table (in memory/hash table) in MapJoin Conversion > algorithm needs to be more sophisticated. > In an N way Map Join, Hive should pick an input stream as side table (in > memory table) that has least cost in producing relation (like TS(FIL|Proj)*). > Cost based choice needs extended cost model; without return path its going to > be hard to do this. > For the time being we could employ a modified cost based algorithm for side > table selection. > New algorithm is described below: > 1. Identify the candidate set of inputs for side table (in memory/hash table) > from the inputs (based on conditional task size) > 2. For each of the input identify its cost, memory requirement. Cost is 1 for > each heavy weight relation op (Join, GB, PTF/Windowing, TF, etc.). Cost for > an input is the total no of heavy weight ops in its branch. > 3. Order set from #1 on cost & memory req (ascending order) > 4. Pick the first element from #3 as the side table. -- This message was sent by Atlassian JIRA (v6.3.4#6332)