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Matt McCline commented on HIVE-7373: ------------------------------------ I am investigating why vector_decimal_aggregate.q has a different output (extra trailing decimal zeroes for some query output values). When you edit vector_decimal_aggregate.q to turn off vectorization and then re-run with it on, the outputs are different. (The same is true for vector_decimal_cast.q, vector_decimal_math_funcs.q, etc) I have looked at the patch #6 and it looks to me like this is point where outputs diverged... That is, the divergence may have been caused by -Dtest.output.overwrite=true > Hive should not remove trailing zeros for decimal numbers > --------------------------------------------------------- > > Key: HIVE-7373 > URL: https://issues.apache.org/jira/browse/HIVE-7373 > Project: Hive > Issue Type: Bug > Components: Types > Affects Versions: 0.13.0, 0.13.1 > Reporter: Xuefu Zhang > Assignee: Sergio Peña > Labels: TODOC14 > Fix For: 0.14.0 > > Attachments: HIVE-7373.1.patch, HIVE-7373.2.patch, HIVE-7373.3.patch, > HIVE-7373.4.patch, HIVE-7373.5.patch, HIVE-7373.6.patch, HIVE-7373.6.patch > > > Currently Hive blindly removes trailing zeros of a decimal input number as > sort of standardization. This is questionable in theory and problematic in > practice. > 1. In decimal context, number 3.140000 has a different semantic meaning from > number 3.14. Removing trailing zeroes makes the meaning lost. > 2. In a extreme case, 0.0 has (p, s) as (1, 1). Hive removes trailing zeros, > and then the number becomes 0, which has (p, s) of (1, 0). Thus, for a > decimal column of (1,1), input such as 0.0, 0.00, and so on becomes NULL > because the column doesn't allow a decimal number with integer part. > Therefore, I propose Hive preserve the trailing zeroes (up to what the scale > allows). With this, in above example, 0.0, 0.00, and 0.0000 will be > represented as 0.0 (precision=1, scale=1) internally. -- This message was sent by Atlassian JIRA (v6.3.4#6332)