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https://issues.apache.org/jira/browse/SPARK-12558?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Maciej Bryński updated SPARK-12558:
-----------------------------------
Description:
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}
was:
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}
> 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}
> 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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