Update Kafka Streams branching docs/tests

Resolves https://github.com/spring-cloud/spring-cloud-stream-binder-kafka/issues/1133
This commit is contained in:
Soby Chacko
2021-08-27 18:16:39 -04:00
parent adde49aab3
commit 8e6d07cc7b
3 changed files with 44 additions and 259 deletions

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@@ -277,7 +277,7 @@ public Function<KTable<String, String>, KStream<String, String>> bar() {
===== Multiple Output Bindings
Kafka Streams allows to write outbound data into multiple topics. This feature is known as branching in Kafka Streams.
Kafka Streams allows writing outbound data into multiple topics. This feature is known as branching in Kafka Streams.
When using multiple output bindings, you need to provide an array of KStream (`KStream[]`) as the outbound return type.
Here is an example:
@@ -291,21 +291,30 @@ public Function<KStream<Object, String>, KStream<?, WordCount>[]> process() {
Predicate<Object, WordCount> isFrench = (k, v) -> v.word.equals("french");
Predicate<Object, WordCount> isSpanish = (k, v) -> v.word.equals("spanish");
return input -> input
.flatMapValues(value -> Arrays.asList(value.toLowerCase().split("\\W+")))
.groupBy((key, value) -> value)
.windowedBy(TimeWindows.of(5000))
.count(Materialized.as("WordCounts-branch"))
.toStream()
.map((key, value) -> new KeyValue<>(null, new WordCount(key.key(), value,
new Date(key.window().start()), new Date(key.window().end()))))
.branch(isEnglish, isFrench, isSpanish);
return input -> {
final Map<String, KStream<Object, WordCount>> stringKStreamMap = input
.flatMapValues(value -> Arrays.asList(value.toLowerCase().split("\\W+")))
.groupBy((key, value) -> value)
.windowedBy(TimeWindows.of(Duration.ofSeconds(5)))
.count(Materialized.as("WordCounts-branch"))
.toStream()
.map((key, value) -> new KeyValue<>(null, new WordCount(key.key(), value,
new Date(key.window().start()), new Date(key.window().end()))))
.split()
.branch(isEnglish)
.branch(isFrench)
.branch(isSpanish)
.noDefaultBranch();
return stringKStreamMap.values().toArray(new KStream[0]);
};
}
----
The programming model remains the same, however the outbound parameterized type is `KStream[]`.
The default output binding names are `process-out-0`, `process-out-1`, `process-out-2` respectively.
The reason why the binder generates three output bindings is because it detects the length of the returned `KStream` array.
The default output binding names are `process-out-0`, `process-out-1`, `process-out-2` respectively for the function above.
The reason why the binder generates three output bindings is because it detects the length of the returned `KStream` array as three.
Note that in this example, we provide a `noDefaultBranch()`; if we have used `defaultBranch()` instead, that would have required an extra output binding, essentially returning a `KStream` array of length four.
===== Summary of Function based Programming Styles for Kafka Streams