Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/12061#discussion_r57889469
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -1860,7 +1860,12 @@ class Dataset[T] private[sql](
* @since 1.6.0
*/
@Experimental
- def filter(func: T => Boolean): Dataset[T] =
mapPartitions(_.filter(func))
+ def filter(func: T => Boolean): Dataset[T] = {
+ val deserializer = unresolvedTEncoder.deserializer
+ val function = Literal.create(func, ObjectType(classOf[Function1[T,
Boolean]]))
+ val condition = Invoke(function, "apply", BooleanType, deserializer ::
Nil)
+ withTypedPlan(Filter(condition, logicalPlan))
--- End diff --
Previously we need to deserialize input row, call function and serialize to
row, but now we don't need to do the final serialization, it should be faster.
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