Maciej Bryński created SPARK-12558:
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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}
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