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Na Yang commented on HIVE-7651: ------------------------------- This issue was caused by a single jobConf instance are used by multiple MapTrans. The fix is included in the patch of HIVE-7541. > Investigate why union two RDDs generated from two MapTrans does not get the > right result > ---------------------------------------------------------------------------------------- > > Key: HIVE-7651 > URL: https://issues.apache.org/jira/browse/HIVE-7651 > Project: Hive > Issue Type: Bug > Components: Spark > Reporter: Na Yang > > If the SparkWork has two map works as root, then use the current > generate(basework) API to generate two mapTran. union the RDDs processed by > the two mapTrans does not generate the correct result. > If two input RDDs come from different data tables, then the union result is > empty. > if two input RDDs come from the same data table, then the union result is not > correct. The same row of data happen 4 times in the union result. > Need to investigate why this happen and how to fix it. -- This message was sent by Atlassian JIRA (v6.2#6252)