Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/14030#discussion_r69819131
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/ForeachSink.scala
---
@@ -30,7 +32,42 @@ import org.apache.spark.sql.{DataFrame, Encoder,
ForeachWriter}
class ForeachSink[T : Encoder](writer: ForeachWriter[T]) extends Sink with
Serializable {
override def addBatch(batchId: Long, data: DataFrame): Unit = {
- data.as[T].foreachPartition { iter =>
+ // TODO: Refine this method when SPARK-16264 is resolved; see comments
below.
--- End diff --
Could we just use the QueryExecution of the dataframe that is passed in,
instead of creating a new one?
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