Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/15513#discussion_r85624830
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/Count.scala
---
@@ -23,9 +23,17 @@ import org.apache.spark.sql.types._
// scalastyle:off line.size.limit
@ExpressionDescription(
- usage = """_FUNC_(*) - Returns the total number of retrieved rows,
including rows containing NULL values.
- _FUNC_(expr) - Returns the number of rows for which the supplied
expression is non-NULL.
- _FUNC_(DISTINCT expr[, expr...]) - Returns the number of rows for
which the supplied expression(s) are unique and non-NULL.""")
+ usage = """
+ _FUNC_(*) - Returns the total number of retrieved rows, including rows
containing null.
+
+ _FUNC_(expr) - Returns the number of rows for which the supplied
expression is non-null.
+
+ _FUNC_(DISTINCT expr[, expr...]) - Returns the number of rows for
which the supplied expression(s) are unique and non-null.
+ """,
+ extended = """
+ Arguments:
+ expr - an expression of any type that represents data to count.
--- End diff --
```sql
spark-sql> SELECT count(array(1)), count(struct(1)), count(map(1,1));
1 1 1
```
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