JingsongLi commented on a change in pull request #11490:
[FLINK-15579][table-planner-blink] UpsertStreamTableSink should work on batch
mode
URL: https://github.com/apache/flink/pull/11490#discussion_r396859204
##########
File path:
flink-table/flink-table-planner-blink/src/main/scala/org/apache/flink/table/planner/plan/nodes/physical/batch/BatchExecSink.scala
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@@ -81,13 +82,26 @@ class BatchExecSink[T](
override protected def translateToPlanInternal(
planner: BatchPlanner): Transformation[Any] = {
val resultTransformation = sink match {
- case _: RetractStreamTableSink[T] | _: UpsertStreamTableSink[T] =>
- throw new TableException("RetractStreamTableSink and
UpsertStreamTableSink is not" +
- " supported in Batch environment.")
-
case streamTableSink: StreamTableSink[T] =>
- // we can insert the bounded DataStream into a StreamTableSink
- val transformation = translateToTransformation(withChangeFlag = false,
planner)
+ val transformation = streamTableSink match {
+ case _: RetractStreamTableSink[T] =>
+ translateToTransformation(withChangeFlag = true, planner)
Review comment:
Like print sink, there is no way to know isBatch or isStreaming now. We can
use a unify RetractSink to support.
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