snuyanzin commented on code in PR #23411:
URL: https://github.com/apache/flink/pull/23411#discussion_r1457306043
##########
docs/data/sql_functions.yml:
##########
@@ -1059,6 +1059,13 @@ aggregate:
Divides the rows for each window partition into `n` buckets ranging from
1 to at most `n`.
If the number of rows in the window partition doesn't divide evenly into
the number of buckets, then the remainder values are distributed one per
bucket, starting with the first bucket.
For example, with 6 rows and 4 buckets, the bucket values would be as
follows: 1 1 2 2 3 4
+ - sql: ARRAY_AGG([ ALL | DISTINCT ] expression [ RESPECT NULLS | IGNORE
NULLS ])
+ table: FIELD.arrayAgg
+ description: |
+ By default or with keyword `ALL` and, return an array that concatenates
the input rows
+ and returns `NULL` if there are no input rows. Use `DISTINCT` for one
unique instance of each value.
+ By default null values are respected, use `IGNORE NULLS` to skip null
values.
Review Comment:
```suggestion
By default `NULL` values are respected, use `IGNORE NULLS` to skip
`NULL` values.
```
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