Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/12136#discussion_r58467899
--- Diff: python/pyspark/sql/functions.py ---
@@ -1053,6 +1053,44 @@ def to_utc_timestamp(timestamp, tz):
return
Column(sc._jvm.functions.to_utc_timestamp(_to_java_column(timestamp), tz))
+@since(2.0)
+def window(col, windowDuration, slideDuration=None, startTime=None):
+ """Bucketize rows into one or more time windows given a timestamp
specifying column. Window
+ starts are inclusive but the window ends are exclusive, e.g. 12:05
will be in the window
+ [12:05,12:10) but not in [12:00,12:05). Windows can support
microsecond precision. Windows in
+ the order of months are not supported.
+
+ The time column must be of TimestampType.
+
+ Durations are provided as strings, e.g. '1 second', '1 day 12 hours',
'2 minutes'. Valid
+ interval strings are 'week', 'day', 'hour', 'minute', 'second',
'millisecond', 'microsecond'.
+ If the `slideDuration` is not provided, the windows will be tumbling
windows.
+
+ The startTime is the offset with respect to 1970-01-01 00:00:00 UTC
with which to start
+ window intervals. For example, in order to have hourly tumbling
windows that start 15 minutes
+ past the hour, e.g. 12:15-13:15, 13:15-14:15... provide `startTime` as
`15 minutes`.
+
+ The output column will be a struct called 'window' by default with the
nested columns 'start'
+ and 'end'.
+
+ >>> df = sqlContext.createDataFrame([("2016-03-11 09:00:07",
1)]).toDF("date", "val")
+ >>> w = df.groupBy(window("date", "5
seconds")).agg(sum("val").alias("sum"))
+ >>> w.select(w.window.start.cast("string"),
w.window.end.cast("string"), "sum").collect()
+ [Row(start="2016-03-11 09:00:05, end=2016-03-11 09:00:10, sum=1)]
--- End diff --
```
Row(start=u"2016-03-11 09:00:05", end=u"2016-03-11 09:00:10", sum=1)]
```
You may also need @ignore_unicode_prefix
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
