Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/14183#discussion_r70687523
--- Diff: docs/structured-streaming-programming-guide.md ---
@@ -626,52 +626,95 @@ The result tables would look something like the
following.
-Since this windowing is similar to grouping, in code, you can use
`groupBy()` and `window()` operations to express windowed aggregations.
+Since this windowing is similar to grouping, in code, you can use
`groupBy()` and `window()` operations to express windowed aggregations. You can
see the full code for the below examples in
+[Scala]({{site.SPARK_GITHUB_URL}}/blob/master/examples/src/main/scala/org/apache/spark/examples/sql/streaming/StructuredNetworkWordCountWindowed.scala)/
+[Java]({{site.SPARK_GITHUB_URL}}/blob/master/examples/src/main/java/org/apache/spark/examples/sql/streaming/JavaStructuredNetworkWordCountWindowed.java)/
+[Python]({{site.SPARK_GITHUB_URL}}/blob/master/examples/src/main/python/sql/streaming/structured_network_wordcount_windowed.py).
--- End diff --
these changes are good. do not revert this based on what i have said below.
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