You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Maciej Bryński (JIRA)" <ji...@apache.org> on 2015/12/29 16:04:49 UTC

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

Maciej Bryński created SPARK-12558:
--------------------------------------

             Summary: 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


Hi,
I have following issue when trying to use functions in group by clause.
Example:

{code}
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}



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org