twalthr commented on a change in pull request #16871:
URL: https://github.com/apache/flink/pull/16871#discussion_r700773755
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File path: docs/content/docs/dev/table/data_stream_api.md
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@@ -337,6 +324,86 @@ In particular, the section discusses how to influence the
schema derivation with
types. It covers working with event-time and watermarks. It discusses how to
declare a primary key and
changelog mode for the input and output streams.
+The example above shows how the final result is computed incrementally by
continuously emitting row-wise
+updates for each incoming record. However, in cases where the input streams
are finite (i.e. *bounded*),
+a result can be computed more efficiently by leveraging batch processing
principles. Both DataStream
Review comment:
I added a concrete example and a link to the dynamic table section.
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