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Posted to issues@spark.apache.org by "Egor Pahomov (JIRA)" <ji...@apache.org> on 2016/09/20 23:50:20 UTC

[jira] [Created] (SPARK-17616) Getting "java.lang.RuntimeException: Distinct columns cannot exist in Aggregate "

Egor Pahomov created SPARK-17616:
------------------------------------

             Summary: Getting "java.lang.RuntimeException: Distinct columns cannot exist in Aggregate "
                 Key: SPARK-17616
                 URL: https://issues.apache.org/jira/browse/SPARK-17616
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.0.0
            Reporter: Egor Pahomov
            Priority: Minor


I execute:

{code}
select platform, 
        collect_set(user_auth) as paid_types,
        count(distinct sessionid) as sessions
    from non_hss.session
    where
        event = 'stop' and platform != 'testplatform' and
        not (month = MONTH(current_date()) AND year = YEAR(current_date()) and day = day(current_date())) and
        (
            (month >= MONTH(add_months(CURRENT_DATE(), -5)) AND year = YEAR(add_months(CURRENT_DATE(), -5)))
            OR
            (month <= MONTH(add_months(CURRENT_DATE(), -5)) AND year > YEAR(add_months(CURRENT_DATE(), -5)))
        )
    group by platform
{code}

I get:

{code}
java.lang.RuntimeException: Distinct columns cannot exist in Aggregate operator containing aggregate functions which don't support partial aggregation.
{code}

IT WORKED IN 1.6.2. I've read error 5 times, and read code once. I still don't understand what I do incorrectly.



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