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Jason Dere commented on HIVE-8745: ---------------------------------- Looks like HiveDecimal and HiveDecimalWritable have different comparison semantics in their equals() methods. For HiveDecimal, 1.1 != 1.10 For HIveDecimalWritable, 1.1 == 1.10 This is due to the fact that HiveDecimal.equals() uses BigDecimal.equals(), where the precision/scale/value all need to be the same to be considered equal. HiveDecimal probably should have been using BigDecimal.compareTo(), which is what is used in HiveDecimalWritable.equals(). [~xuefuz], [~spena], would you agree with this? > Joins on decimal keys return different results whether they are run as reduce > join or map join > ---------------------------------------------------------------------------------------------- > > Key: HIVE-8745 > URL: https://issues.apache.org/jira/browse/HIVE-8745 > Project: Hive > Issue Type: Bug > Affects Versions: 0.14.0 > Reporter: Gunther Hagleitner > Priority: Critical > Attachments: join_test.q > > > See attached .q file to reproduce. The difference seems to be whether > trailing 0s are considered the same value or not. -- This message was sent by Atlassian JIRA (v6.3.4#6332)