[jira] [Resolved] (SPARK-12558) AnalysisException when multiple functions applied in GROUP BY clause

["Yin Huai (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-12558?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Yin Huai resolved SPARK-12558.
------------------------------
       Resolution: Fixed
    Fix Version/s: 1.6.1
                   2.0.0

Issue resolved by pull request 10520
[https://github.com/apache/spark/pull/10520]

> AnalysisException when multiple functions applied in GROUP BY clause
> --------------------------------------------------------------------
>
>                 Key: SPARK-12558
>                 URL: https://issues.apache.org/jira/browse/SPARK-12558
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.6.0
>            Reporter: Maciej Bryński
>            Assignee: Dilip Biswal
>             Fix For: 2.0.0, 1.6.1
>
>
> Hi,
> I have following issue when trying to use functions in group by clause. 
> Example:
> {code}
> sqlCtx = HiveContext(sc)
> rdd = sc.parallelize([{'test_date': 1451400761}])
> df = sqlCtx.createDataFrame(rdd)
> df.registerTempTable("df")
> {code}
> Now, where I'm using single function it's OK.
> {code}
> sqlCtx.sql("select cast(test_date as timestamp) from df group by cast(test_date as timestamp)").collect()
> [Row(test_date=datetime.datetime(2015, 12, 29, 15, 52, 41))]
> {code}
> Where I'm using more than one function I'm getting AnalysisException
> {code}
> sqlCtx.sql("select date(cast(test_date as timestamp)) from df group by date(cast(test_date as timestamp))").collect()
> Py4JJavaError: An error occurred while calling o38.sql.
> : org.apache.spark.sql.AnalysisException: expression 'test_date' is neither present in the group by, nor is it an aggregate function. Add to group by or wrap in first() (or first_value) if you don't care which value you get.;
> {code}



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