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https://issues.apache.org/jira/browse/SPARK-9435?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14992633#comment-14992633
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Utkarsh Sengar edited comment on SPARK-9435 at 11/5/15 11:17 PM:
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I am running into this problem too.
Query:
sqlContext.sql("SELECT properties.time, count(listToSingleId(properties.ids))
FROM allEvents WHERE event='abc' AND isSingleSearch(properties.ids) GROUP BY
listToSingleId(properties.ids)")
UDF:
sqlContext.udf.register("listToSingleId", (ids : List[Long]) => ids(0))
Trying the nested select now, but is this a bug or expected outcome when using
UDF with group by?
was (Author: zengr):
I am running into this problem too.
Query:
sqlContext.sql("SELECT properties.time FROM allEvents WHERE event='abc' AND
isSingleSearch(properties.ids) GROUP BY listToSingleId(properties.ids)")
UDF:
sqlContext.udf.register("listToSingleId", (ids : List[Long]) => ids(0))
Trying the nested select now, but is this a bug or expected outcome when using
UDF with group by?
> Java UDFs don't work with GROUP BY expressions
> ----------------------------------------------
>
> Key: SPARK-9435
> URL: https://issues.apache.org/jira/browse/SPARK-9435
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.4.1
> Environment: All
> Reporter: James Aley
> Attachments: IncMain.java, points.txt
>
>
> If you define a UDF in Java, for example by implementing the UDF1 interface,
> then try to use that UDF on a column in both the SELECT and GROUP BY clauses
> of a query, you'll get an error like this:
> {code}
> "SELECT inc(y),COUNT(DISTINCT x) FROM test_table GROUP BY inc(y)"
> org.apache.spark.sql.AnalysisException: expression 'y' is neither present in
> the group by, nor is it an aggregate function. Add to group by or wrap in
> first() if you don't care which value you get.
> {code}
> We put together a minimal reproduction in the attached Java file, which makes
> use of the data in the text file attached.
> I'm guessing there's some kind of issue with the equality implementation, so
> Spark can't tell that those two expressions are the same maybe? If you do the
> same thing from Scala, it works fine.
> Note for context: we ran into this issue while working around SPARK-9338.
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