brkyvz commented on a change in pull request #25681: [SPARK-28612][SQL] Add
DataFrameWriterV2 API
URL: https://github.com/apache/spark/pull/25681#discussion_r323452899
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File path: sql/core/src/main/scala/org/apache/spark/sql/functions.scala
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@@ -3942,6 +3943,63 @@ object functions {
*/
def to_csv(e: Column): Column = to_csv(e, Map.empty[String, String].asJava)
+ /**
+ * A transform for timestamps and dates to partition data into years.
+ *
+ * @group partition_transforms
+ * @since 3.0.0
+ */
+ def years(e: Column): Column = withExpr { Years(e.expr) }
+
+ /**
+ * A transform for timestamps and dates to partition data into months.
+ *
+ * @group partition_transforms
+ * @since 3.0.0
+ */
+ def months(e: Column): Column = withExpr { Months(e.expr) }
+
+ /**
+ * A transform for timestamps and dates to partition data into days.
+ *
+ * @group partition_transforms
+ * @since 3.0.0
+ */
+ def days(e: Column): Column = withExpr { Days(e.expr) }
+
+ /**
+ * A transform for timestamps to partition data into hours.
+ *
+ * @group partition_transforms
+ * @since 3.0.0
+ */
+ def hours(e: Column): Column = withExpr { Hours(e.expr) }
+
+ /**
+ * A transform for any type that partitions by a hash of the input column.
+ *
+ * @group partition_transforms
+ * @since 3.0.0
+ */
+ def bucket(numBuckets: Column, e: Column): Column = withExpr {
Review comment:
nit: if we're only going to support Literals, I feel it may be better to
leave this out initially
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