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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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