Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/2973#discussion_r19498469
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/SchemaRDD.scala ---
@@ -428,9 +397,10 @@ class SchemaRDD(
*/
private[sql] def collectToPython: JList[Array[Byte]] = {
val rowSchema =
StructType.fromAttributes(this.queryExecution.analyzed.output)
+ val fields = rowSchema.fields.map(_.dataType)
--- End diff --
Nit/existing: I'd avoid creating attributes which is actually pretty
expensive due to an `AtomicLong` and use the public API for `schema`. I think
instead of these two lines you can just do the following here and above.
```scala
val fieldTypes = schema.fields.map(_.dataType)
```
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