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Posted to reviews@spark.apache.org by viirya <gi...@git.apache.org> on 2018/08/10 04:58:51 UTC
[GitHub] spark pull request #21732: [SPARK-24762][SQL] Enable Option of Product encod...
Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/21732#discussion_r209144900
--- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/encoders/ExpressionEncoder.scala ---
@@ -43,20 +43,17 @@ import org.apache.spark.util.Utils
* to the name `value`.
*/
object ExpressionEncoder {
- def apply[T : TypeTag](): ExpressionEncoder[T] = {
+ // Constructs an encoder for top-level row.
+ def apply[T : TypeTag](): ExpressionEncoder[T] = apply(topLevel = true)
+
+ /**
+ * @param topLevel whether the encoders to construct are for top-level row.
+ */
+ def apply[T : TypeTag](topLevel: Boolean): ExpressionEncoder[T] = {
--- End diff --
In `Aggregator`, we can call this apply with `topLevel = false` to avoid resulting a nested struct.
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