beliefer commented on a change in pull request #27428:
URL: https://github.com/apache/spark/pull/27428#discussion_r454386912



##########
File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregates.scala
##########
@@ -102,23 +102,127 @@ import org.apache.spark.sql.types.IntegerType
  * {{{
  * Aggregate(
  *    key = ['key]
- *    functions = [count(if (('gid = 1)) 'cat1 else null),
- *                 count(if (('gid = 2)) 'cat2 else null),
+ *    functions = [count(if (('gid = 1)) '_gen_attr_1 else null),
+ *                 count(if (('gid = 2)) '_gen_attr_2 else null),
  *                 first(if (('gid = 0)) 'total else null) ignore nulls]
  *    output = ['key, 'cat1_cnt, 'cat2_cnt, 'total])
  *   Aggregate(
- *      key = ['key, 'cat1, 'cat2, 'gid]
- *      functions = [sum('value) with FILTER('id > 1)]
- *      output = ['key, 'cat1, 'cat2, 'gid, 'total])
+ *      key = ['key, '_gen_attr_1, '_gen_attr_2, 'gid]
+ *      functions = [sum('_gen_attr_3)]
+ *      output = ['key, '_gen_attr_1, '_gen_attr_2, 'gid, 'total])
  *     Expand(
- *        projections = [('key, null, null, 0, cast('value as bigint), 'id),
+ *        projections = [('key, null, null, 0, if ('id > 1) cast('value as 
bigint) else null, 'id),
  *                       ('key, 'cat1, null, 1, null, null),
  *                       ('key, null, 'cat2, 2, null, null)]
- *        output = ['key, 'cat1, 'cat2, 'gid, 'value, 'id])
+ *        output = ['key, '_gen_attr_1, '_gen_attr_2, 'gid, '_gen_attr_3, 'id])
  *       LocalTableScan [...]
  * }}}
  *
- * The rule does the following things here:
+ * Third example: single distinct aggregate function with filter clauses and 
have
+ * not other distinct aggregate function (in sql):
+ * {{{
+ *   SELECT
+ *     COUNT(DISTINCT cat1) FILTER (WHERE id > 1) as cat1_cnt,
+ *     SUM(value) AS total
+ *  FROM
+ *    data
+ *  GROUP BY
+ *    key
+ * }}}
+ *
+ * This translates to the following (pseudo) logical plan:
+ * {{{
+ * Aggregate(
+ *    key = ['key]
+ *    functions = [COUNT(DISTINCT 'cat1) with FILTER('id > 1),
+ *                 sum('value)]
+ *    output = ['key, 'cat1_cnt, 'total])
+ *   LocalTableScan [...]
+ * }}}
+ *
+ * This rule rewrites this logical plan to the following (pseudo) logical plan:
+ * {{{
+ *   Aggregate(
+ *      key = ['key]
+ *      functions = [count('_gen_attr_1),
+  *                  sum('_gen_attr_2)]
+ *      output = ['key, 'cat1_cnt, 'total])
+ *     Project(
+ *        projectionList = ['key, if ('id > 1) 'cat1 else null, cast('value as 
bigint)]

Review comment:
       Do you saw 
https://github.com/apache/spark/pull/27428#discussion_r452133696
   According to discussion by email, I think you mean is to unify the implement 
of filter clause.




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