[jira] [Created] (SPARK-37387) Allow nondeterministic expression in aggregate function

["Leona Yoda (Jira)" <ji...@apache.org>]

Leona Yoda created SPARK-37387:
----------------------------------

             Summary: Allow nondeterministic expression in aggregate function
                 Key: SPARK-37387
                 URL: https://issues.apache.org/jira/browse/SPARK-37387
             Project: Spark
          Issue Type: Improvement
          Components: SQL
    Affects Versions: 3.3.0
            Reporter: Leona Yoda


Nondeterministic expression in aggregate function is not allow in spark, so we cannot execute query like

 
{code:java}
SELECT COUNT(RANDOM());
{code}
 

and raise {{nondeterministic expression ... should not appear in the arguments of an aggregate function. }}error message.
[related code section|https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala#L298]

Hence other DB like PostgreSQL, we can call the SQL.

 
{code:java}
postgres=# SELECT COUNT(RANDOM());
 count
-------
     1
(1 row) {code}
 

I tried to remove the error message section, then I found spark could execute the query. 

 
{code:java}
scala> spark.sql("SELECT COUNT(RANDOM())").show()
+-------------+
|count(rand())|
+-------------+
|            1|
+-------------+ {code}
 

 

It could be useful for spark users to be able to execute those kinds of queries because they can simply call
{code:java}
spark.sql("SELECT COUNT(DISTINCT(INPUT_FILE_NAME())) FROM table WHERE ...") {code}
to find target files, for example.

 



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