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Hive QA commented on HIVE-20523: -------------------------------- Here are the results of testing the latest attachment: https://issues.apache.org/jira/secure/attachment/12953586/HIVE-20523.9.patch {color:green}SUCCESS:{color} +1 due to 2 test(s) being added or modified. {color:red}ERROR:{color} -1 due to 4 failed/errored test(s), 15761 tests executed *Failed tests:* {noformat} org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[vectorization_input_format_excludes] (batchId=132) org.apache.hadoop.hive.ql.lockmgr.TestDbTxnManager2.testLoadData (batchId=324) org.apache.hive.jdbc.TestJdbcWithMiniLlapArrow.testComplexQuery (batchId=259) org.apache.hive.jdbc.TestJdbcWithMiniLlapArrow.testKillQuery (batchId=259) {noformat} Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/15471/testReport Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/15471/console Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-15471/ 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: 4 tests failed {noformat} This message is automatically generated. ATTACHMENT ID: 12953586 - PreCommit-HIVE-Build > Improve table statistics for Parquet format > ------------------------------------------- > > Key: HIVE-20523 > URL: https://issues.apache.org/jira/browse/HIVE-20523 > Project: Hive > Issue Type: Improvement > Components: Physical Optimizer > Reporter: George Pachitariu > Assignee: George Pachitariu > Priority: Minor > Attachments: HIVE-20523.1.patch, HIVE-20523.2.patch, > HIVE-20523.3.patch, HIVE-20523.4.patch, HIVE-20523.5.patch, > HIVE-20523.6.patch, HIVE-20523.7.patch, HIVE-20523.8.patch, > HIVE-20523.9.patch, HIVE-20523.patch > > > Right now, in the table basic statistics, the *raw data size* for a row with > any data type in the Parquet format is 1. This is an underestimated value > when columns are complex data structures, like arrays. > Having tables with underestimated raw data size makes Hive assign less > containers (mappers/reducers) to it, making the overall query slower. > Heavy underestimation also makes Hive choose MapJoin instead of the > ShuffleJoin that can fail with OOM errors. > In this patch, I compute the columns data size better, taking into account > complex structures. I followed the Writer implementation for the ORC format. -- This message was sent by Atlassian JIRA (v7.6.3#76005)