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Lefty Leverenz commented on HIVE-8054: -------------------------------------- This should be documented in wikidoc "Configuration Properties" when the Spark branch gets merged into trunk. In the meantime, it could be documented in "Hive on Spark: Getting Started" as a note in the "Configuring Hive" section. * [Hive on Spark: Getting Started -- Configuring Hive | https://cwiki.apache.org/confluence/display/Hive/Hive+on+Spark%3A+Getting+Started#HiveonSpark:GettingStarted-ConfiguringHive] * [Configuration Properties -- hive.optimize.union.remove | https://cwiki.apache.org/confluence/display/Hive/Configuration+Properties#ConfigurationProperties-hive.optimize.union.remove] > Disable hive.optimize.union.remove when hive.execution.engine=spark [Spark > Branch] > ---------------------------------------------------------------------------------- > > Key: HIVE-8054 > URL: https://issues.apache.org/jira/browse/HIVE-8054 > Project: Hive > Issue Type: Improvement > Components: Spark > Reporter: Xuefu Zhang > Assignee: Na Yang > Labels: Spark-M1, TODOC-SPARK > Fix For: spark-branch > > Attachments: HIVE-8054-spark.patch, HIVE-8054.2-spark.patch, > HIVE-8054.3-spark.patch > > > Option hive.optimize.union.remove introduced in HIVE-3276 removes union > operators from the operator graph in certain cases as an optimization reduce > the number of MR jobs. While making sense in MR, this optimization is > actually harmful to an execution engine such as Spark, which natives supports > union without requiring additional jobs. This is because removing union > operator creates disjointed operator graphs, each graph generating a job, and > thus this optimization requires more jobs to run the query. Not to mention > the additional complexity handling linked FS descriptors. > I propose that we disable such optimization when the execution engine is > Spark. -- This message was sent by Atlassian JIRA (v6.3.4#6332)