HyukjinKwon commented on code in PR #38288:
URL: https://github.com/apache/spark/pull/38288#discussion_r999152665
##########
python/pyspark/sql/functions.py:
##########
@@ -4884,6 +4884,42 @@ def check_string_field(field, fieldName): # type:
ignore[no-untyped-def]
return _invoke_function("window", time_col, windowDuration)
+def window_time(
+ windowColumn: "ColumnOrName",
+) -> Column:
+ """Computes the event time from a window column. The column window values
are produced
+ by window aggregating operators and are of type
+ StructType { start: TimestampType, end: TimestampType } where start is
inclusive and
Review Comment:
I would use a DDL-formatted string (or other standard format if you prefer).
```suggestion
`STRUCT<start: TIMESTAMP, end: TIMESTAMP>` where start is inclusive and
```
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