charlespnh commented on code in PR #35151:
URL: https://github.com/apache/beam/pull/35151#discussion_r2132983350


##########
sdks/python/apache_beam/yaml/examples/README.md:
##########
@@ -71,25 +79,173 @@ Examples in this directory show off the various built-in 
transforms of the Beam
 YAML framework.
 
 ### Aggregation
+
 These examples leverage the built-in `Combine` transform for performing simple
 aggregations including sum, mean, count, etc.
 
 ### Blueprints
+
 These examples leverage DF or other existing templates and convert them to yaml
 blueprints.
 
 ### Element-wise
+
 These examples leverage the built-in mapping transforms including 
`MapToFields`,
 `Filter` and `Explode`. More information can be found about mapping transforms
 [here](https://beam.apache.org/documentation/sdks/yaml-udf/).
 
 ### IO
-These examples leverage the built-in `Spanner_Read` and `Spanner_Write`
-transform for performing simple reads and writes from a spanner DB.
+
+#### Spanner
+
+Examples [Spanner Read](transforms/io/spanner_read.yaml) and [Spanner Write](
+transforms/io/spanner_write.yaml) leverage the built-in `Spanner_Read` and
+`Spanner_Write` transform for performing simple reads and writes from a spanner
+DB.
+
+#### Kafka
+
+Examples involving Kafka such as [Streaming 
Wordcount](streaming_wordcount.yaml)
+and [Kafka Read Write](transforms/io/kafka.yaml) require users to set up
+a Kafka cluster that Dataflow runner executing the
+Beam pipeline has access to. See
+issue [here](https://github.com/apache/beam/issues/22809) for context on 
running

Review Comment:
   Changed



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