Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/9787#discussion_r45154801
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -529,7 +530,12 @@ class Dataset[T] private[sql](
* For Java API, use [[collectAsList]].
* @since 1.6.0
*/
- def collect(): Array[T] = rdd.collect()
+ def collect(): Array[T] = {
+ val tEnc = resolvedTEncoder
+ val input = queryExecution.analyzed.output
+ val bound = tEnc.bind(input)
+ queryExecution.toRdd.map(_.copy()).collect().map(bound.fromRow)
--- End diff --
the main difference is that we are collecting the rows and then running the
encoders to do conversions here.
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