Apache Kafka Streams 支持

// Use the builders to define the actual processing topology, e.g. to specify
// from which input topics to read, which stream operations (filter, map, etc.)
// should be called, and so on.

StreamsBuilder builder = ...;  // when using the Kafka Streams DSL

// Use the configuration to tell your application where the Kafka cluster is,
// which serializers/deserializers to use by default, to specify security settings,
// and so on.
StreamsConfig config = ...;

KafkaStreams streams = new KafkaStreams(builder, config);

// Start the Kafka Streams instance
streams.start();

// Stop the Kafka Streams instance
streams.close();

@Bean
public FactoryBean<StreamsBuilder> myKStreamBuilder(KafkaStreamsConfiguration streamsConfig) {
    return new StreamsBuilderFactoryBean(streamsConfig);
}

@Bean
public KStream<?, ?> kStream(StreamsBuilder kStreamBuilder) {
    KStream<Integer, String> stream = kStreamBuilder.stream(STREAMING_TOPIC1);
    // Fluent KStream API
    return stream;
}

@Bean
public StreamsBuilderFactoryBean myKStreamBuilder(KafkaStreamsConfiguration streamsConfig) {
    return new StreamsBuilderFactoryBean(streamsConfig);
}
...
@Autowired
private StreamsBuilderFactoryBean myKStreamBuilderFactoryBean;

@Bean
public FactoryBean<StreamsBuilder> myKStreamBuilder(KafkaStreamsConfiguration streamsConfig) {
    return new StreamsBuilderFactoryBean(streamsConfig);
}
...
@Autowired
@Qualifier("&myKStreamBuilder")
private StreamsBuilderFactoryBean myKStreamBuilderFactoryBean;

public interface KafkaStreamsInfrastructureCustomizer {

    void configureBuilder(StreamsBuilder builder);

    void configureTopology(Topology topology);

}

streamsBuilderFactoryBean.addListener(new KafkaStreamsMicrometerListener(meterRegistry,
        Collections.singletonList(new ImmutableTag("customTag", "customTagValue"))));

stream.through(Serdes.Integer(), new JsonSerde<>(Cat.class), "cats");

stream.through(
    new JsonSerde<>(MyKeyType.class)
        .forKeys()
        .noTypeInfo(),
    new JsonSerde<>(MyValueType.class)
        .noTypeInfo(),
    "myTypes");

KStream<String, String>[] branches = builder.stream("source").branch(
        (key, value) -> value.contains("A"),
        (key, value) -> value.contains("B"),
        (key, value) -> true
);
branches[0].to("A");
branches[1].to("B");
branches[2].to("C");

new KafkaStreamBrancher<String, String>()
        .branch((key, value) -> value.contains("A"), ks -> ks.to("A"))
        .branch((key, value) -> value.contains("B"), ks -> ks.to("B"))
        //default branch should not necessarily be defined in the end of the chain!
        .defaultBranch(ks -> ks.to("C"))
        .onTopOf(builder.stream("source"));
        //onTopOf method returns the provided stream so we can continue with method chaining

.process(() -> new HeaderEnricherProcessor(expressions))

.process(() -> new HeaderEnricherProcessor<..., ...>(expressionMap))

Map<String, Expression> headers = new HashMap<>();
headers.put("header1", new LiteralExpression("value1"));
SpelExpressionParser parser = new SpelExpressionParser();
headers.put("header2", parser.parseExpression("record.timestamp() + ' @' + record.offset()"));
ProcessorSupplier supplier = () -> new HeaderEnricher<String, String>(headers);
KStream<String, String> stream = builder.stream(INPUT);
stream
        .process(() -> supplier)
        .to(OUTPUT);

@FunctionalInterface
public interface MessagingFunction {

    Message<?> exchange(Message<?> message);

}

@Bean(name = KafkaStreamsDefaultConfiguration.DEFAULT_STREAMS_CONFIG_BEAN_NAME)
public KafkaStreamsConfiguration kStreamsConfigs() {
    Map<String, Object> props = new HashMap<>();
    ...
    props.put(StreamsConfig.DEFAULT_DESERIALIZATION_EXCEPTION_HANDLER_CLASS_CONFIG,
            RecoveringDeserializationExceptionHandler.class);
    props.put(RecoveringDeserializationExceptionHandler.KSTREAM_DESERIALIZATION_RECOVERER, recoverer());
    ...
    return new KafkaStreamsConfiguration(props);
}

@Bean
public DeadLetterPublishingRecoverer recoverer() {
    return new DeadLetterPublishingRecoverer(kafkaTemplate(),
            (record, ex) -> new TopicPartition("recovererDLQ", -1));
}

@Configuration
@EnableKafka
@EnableKafkaStreams
public class KafkaStreamsConfig {

    @Bean(name = KafkaStreamsDefaultConfiguration.DEFAULT_STREAMS_CONFIG_BEAN_NAME)
    public KafkaStreamsConfiguration kStreamsConfigs() {
        Map<String, Object> props = new HashMap<>();
        props.put(StreamsConfig.APPLICATION_ID_CONFIG, "testStreams");
        props.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");
        props.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.Integer().getClass().getName());
        props.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.String().getClass().getName());
        props.put(StreamsConfig.DEFAULT_TIMESTAMP_EXTRACTOR_CLASS_CONFIG, WallclockTimestampExtractor.class.getName());
        return new KafkaStreamsConfiguration(props);
    }

    @Bean
    public StreamsBuilderFactoryBeanConfigurer configurer() {
        return fb -> fb.setStateListener((newState, oldState) -> {
            System.out.println("State transition from " + oldState + " to " + newState);
        });
    }

    @Bean
    public KStream<Integer, String> kStream(StreamsBuilder kStreamBuilder) {
        KStream<Integer, String> stream = kStreamBuilder.stream("streamingTopic1");
        stream
                .mapValues((ValueMapper<String, String>) String::toUpperCase)
                .groupByKey()
                .windowedBy(TimeWindows.of(Duration.ofMillis(1_000)))
                .reduce((String value1, String value2) -> value1 + value2,
                		Named.as("windowStore"))
                .toStream()
                .map((windowedId, value) -> new KeyValue<>(windowedId.key(), value))
                .filter((i, s) -> s.length() > 40)
                .to("streamingTopic2");

        stream.print(Printed.toSysOut());

        return stream;
    }

}