Github user uncleGen commented on a diff in the pull request:
https://github.com/apache/spark/pull/17052#discussion_r104651490
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/Source.scala
---
@@ -57,10 +60,31 @@ trait Source {
def getBatch(start: Option[Offset], end: Offset): DataFrame
/**
+ * In a streaming query, stream relation will be cut into a series of
batch relations.
+ * We need to mark the batch relation as streaming, i.e. data coming
from a stream source,
+ * so we can apply those streaming strategies to it.
+ */
+ def markAsStreaming(df: DataFrame): DataFrame = {
+ val markAsStreaming = df.logicalPlan transform {
+ case logicalRDD @ LogicalRDD(_, _, _, _, false) =>
+ logicalRDD.dataFromStreaming = true
+ logicalRDD
+ case logicalRelation @ LogicalRelation(_, _, _, false) =>
+ logicalRelation.dataFromStreaming = true
+ logicalRelation
+ case localRelation @ LocalRelation(_, _, false) =>
+ localRelation.dataFromStreaming = true
+ localRelation
+ }
+
--- End diff --
add a new parameter `dataFromStreaming ` to the constructor of
LogicalRelation, LogicalRDD and LocalRelation. `dataFromStreaming ` indicate if
this relation comes from a streaming source. In a streaming query, stream
relation will be cut into a series of batch relations.
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