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-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org