HyukjinKwon commented on a change in pull request #29743:
URL: https://github.com/apache/spark/pull/29743#discussion_r487840749
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File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/TimeWindow.scala
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@@ -27,6 +27,28 @@ import org.apache.spark.sql.catalyst.util.IntervalUtils
import org.apache.spark.sql.types._
import org.apache.spark.unsafe.types.UTF8String
+// scalastyle:off line.size.limit
+@ExpressionDescription(
+ usage = "_FUNC_(timeColumn, windowDuration[, slideDuration[, startTime]]) -
Create potentially overlapping time windows and create a new row for each
window, that contains the value in `timeColumn`",
+ arguments = """
+ Arguments:
+ * timeColumn - the timestamp, that is compared with the created time
windows
+ * windowDuration - the length of each time window
+ * slideDuration - the offset between the starts of consecutive windows
+ * startTime -
+ """,
+ examples = """
+ Examples:
+ > SELECT _FUNC_(timestamp('1970-01-01 12:00'), '10 minute', '5 minute');
+ {"start":1970-01-01 11:55:00,"end":1970-01-01 12:05:00}
+ {"start":1970-01-01 12:00:00,"end":1970-01-01 12:10:00}
+ > SELECT _FUNC_(timestamp('1970-01-01 12:00'), '10 minute', '5 minute',
'2 minute');
+ {"start":1970-01-01 11:52:00,"end":1970-01-01 12:02:00}
+ {"start":1970-01-01 11:57:00,"end":1970-01-01 12:07:00}
+ """,
+ group = "datetime_funcs",
+ since = "2.0.0")
Review comment:
This explicitly inherits `NonSQLExpression` unlike other functions
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