MINOR: Update WordCountTransformerDemo comments
Reviewers: Matthias J. Sax
@@ -45,7 +45,7 @@ import java.util.Set;
import java.util.concurrent.CountDownLatch;
/**
- * Demonstrates, using a {@link Transformer} which combines the low-level Processor APIs with the high-level Kafka Streams DSL,
+ * Demonstrates, using a {@link Processor} implementing the low-level Processor APIs (replaces Transformer),
* how to implement the WordCount program that computes a simple word occurrence histogram from an input text.
* <p>
* <strong>Note: This is simplified code that only works correctly for single partition input topics.
@@ -55,10 +55,9 @@ import java.util.concurrent.CountDownLatch;
* represent lines of text; and the histogram output is written to topic "streams-wordcount-processor-output" where each record
* is an updated count of a single word.
* <p>
- * This example differs from {@link WordCountProcessorDemo} in that it uses a {@link Transformer} to define the word
- * count logic, and the topology is wired up through a {@link StreamsBuilder}, which more closely resembles the high-level DSL.
- * Additionally, the {@link TransformerSupplier} specifies the {@link StoreBuilder} that the {@link Transformer} needs
- * by implementing {@link ConnectedStoreProvider#stores()}.
+ * This example differs from {@link WordCountProcessorDemo} in that it uses a {@link ProcessorSupplier} to attach the Processor with the
+ * count logic to the Stream, and the topology is wired up through a {@link StreamsBuilder},
+ * which more closely resembles the high-level DSL (compared to the Topology builder approach, with Source, Processor, Sink).
* <p>
* Before running this example you must create the input topic and the output topic (e.g. via
* {@code bin/kafka-topics.sh --create ...}), and write some data to the input topic (e.g. via
