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Posted to dev@hive.apache.org by "Frans Drijver (JIRA)" <ji...@apache.org> on 2013/06/05 14:41:20 UTC

[jira] [Created] (HIVE-4663) Needlessly adding analytical windowing columns to my select

Frans Drijver created HIVE-4663:
-----------------------------------

             Summary: Needlessly adding analytical windowing columns to my select
                 Key: HIVE-4663
                 URL: https://issues.apache.org/jira/browse/HIVE-4663
             Project: Hive
          Issue Type: Bug
          Components: SQL
    Affects Versions: 0.11.0
            Reporter: Frans Drijver


Forgive the rather cryptic title, but I was unsure what the best summary would be. The situation is as follows:

If I have query in which I do both a select of a 'normal' column and an analytical function, as so:

{quote}
select distinct 
kastr.DELOGCE
, lag(kastr.DEWNKNR) over ( partition by kastr.DEKTRNR order by kastr.DETRADT, kastr.DEVPDNR )
from RTAVP_DRKASTR kastr
;
{quote}

I get the following error:

{quote}
FAILED: SemanticException Failed to breakup Windowing invocations into Groups. At least 1 group must only depend on input columns. Also check for circular dependencies.
Underlying error: org.apache.hadoop.hive.ql.parse.SemanticException: Line 3:41 Expression not in GROUP BY key 'DEKTRNR'
{quote}

The way around is to also put the analytical windowing columns in my select, as such:

{quote}
select distinct 
kastr.DELOGCE
, lag(kastr.DEWNKNR) over ( partition by kastr.DEKTRNR order by kastr.DETRADT, kastr.DEVPDNR )
, kastr.DEKTRNR
, kastr.DEWNKNR
, kastr.DETRADT
, kastr.DEVPDNR
from RTAVP_DRKASTR kastr
;
{quote}

Obviously this is generally unwanted behaviour, as it can widen the select significantly

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