Cheng Lian created SPARK-13911:
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Summary: Having condition and order by cannot both have aggregate
functions
Key: SPARK-13911
URL: https://issues.apache.org/jira/browse/SPARK-13911
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 1.6.1, 1.5.2, 1.4.1, 1.3.1, 2.0.0
Reporter: Cheng Lian
Given the following temporary table:
{code}
sqlContext range 10 select ('id as 'a, 'id as 'b) registerTempTable "t"
{code}
The following SQL statement can't pass analysis:
{noformat}
scala> sqlContext sql "SELECT * FROM t GROUP BY a HAVING COUNT(b) > 0 ORDER BY
COUNT(b)" show ()
org.apache.spark.sql.AnalysisException: expression '`t`.`b`' 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.;
at
org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:36)
at org.apache.spark.sql.Dataset$.newDataFrame(Dataset.scala:58)
at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:784)
... 49 elided
{noformat}
The reason is that analysis rule {{ResolveAggregateFunctions}} only handles the
first {{Filter}} _or_ {{Sort}} directly above an {{Aggregate}}.
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