HeartSaVioR commented on a change in pull request #31700:
URL: https://github.com/apache/spark/pull/31700#discussion_r587970348
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File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/v2Commands.scala
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@@ -166,6 +166,52 @@ object OverwritePartitionsDynamic {
}
}
+case class AppendMicroBatch(
Review comment:
Streaming write semantic is not same as batch one. The semantic is bound
to the stateful operation; there should be only append, update, and truncate
and append (complete), and for update we haven't constructed the proper way to
define it.
The major concern is that the group keys in stateful operation must be used
as keys in update mode. That is currently not possible, but Spark has been
dealing with update with the huge risk that we're doing the same as append, and
the risk is delegated to the sink (or user). The sink or user has to deal with
reflecting the appended output as "upsert". That's why I renamed
`SupportsStreamingUpdate` as `SupportsStreamingUpdateAsAppend` to clarify the
behavior.
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