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Minor: 4.0 release update #532

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Original file line number Diff line number Diff line change
Expand Up @@ -43,8 +43,7 @@
* don't require re-partitioning of the input streams.
* <p>
* The {@link GlobalStoresExample} shows another way to perform the same operation using
* {@link org.apache.kafka.streams.TopologyDescription.GlobalStore} and a
* {@link org.apache.kafka.streams.kstream.ValueTransformer}.
* {@link org.apache.kafka.streams.TopologyDescription.GlobalStore}
* <p>
* In this example, we join a stream of orders that reads from a topic named
* "order" with a customers table that reads from a topic named "customer", and a products
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Expand Up @@ -43,16 +43,10 @@
* API of Kafka Streams.
* <p>
* More concretely, we show how to use the {@link KStream#process(ProcessorSupplier, String...)}
* method to include a custom {@link org.apache.kafka.streams.kstream.Transformer} (from the
* method to include a custom {@link org.apache.kafka.streams.processor.api.Processor} (from the
* Processor API) in a topology defined via the DSL. The fictitious use case is to anonymize
* IPv4 addresses contained in the input data.
* <p>
* Tip: Users that want to use {@link KStream#process(ProcessorSupplier, String...)} would need to
* include a custom {@link org.apache.kafka.streams.processor.api.Processor}. Keep in mind though that
* the return type of {@link KStream#process(ProcessorSupplier, String...)} is `void`, which means
* you cannot add further operators (such as `to()` as we do below) after having called `process()`.
* If you need to add further operators, you'd have to use `transform()` as we do in this example.
* <p>
* Note: This example uses lambda expressions and thus works with Java 8+ only.
*/
public class MixAndMatchLambdaIntegrationTest {
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