Java Code Examples for org.apache.kafka.streams.kstream.KStream#join()

The following examples show how to use org.apache.kafka.streams.kstream.KStream#join() . You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example 1
Source File: JoinStreamToTable.java    From kafka-tutorials with Apache License 2.0 6 votes vote down vote up
public Topology buildTopology(Properties envProps) {
    final StreamsBuilder builder = new StreamsBuilder();
    final String movieTopic = envProps.getProperty("movie.topic.name");
    final String rekeyedMovieTopic = envProps.getProperty("rekeyed.movie.topic.name");
    final String ratingTopic = envProps.getProperty("rating.topic.name");
    final String ratedMoviesTopic = envProps.getProperty("rated.movies.topic.name");
    final MovieRatingJoiner joiner = new MovieRatingJoiner();

    KStream<String, Movie> movieStream = builder.<String, Movie>stream(movieTopic)
            .map((key, movie) -> new KeyValue<>(movie.getId().toString(), movie));

    movieStream.to(rekeyedMovieTopic);

    KTable<String, Movie> movies = builder.table(rekeyedMovieTopic);

    KStream<String, Rating> ratings = builder.<String, Rating>stream(ratingTopic)
            .map((key, rating) -> new KeyValue<>(rating.getId().toString(), rating));

    KStream<String, RatedMovie> ratedMovie = ratings.join(movies, joiner);

    ratedMovie.to(ratedMoviesTopic, Produced.with(Serdes.String(), ratedMovieAvroSerde(envProps)));

    return builder.build();
}
 
Example 2
Source File: StreamToGlobalKTableJoinIntegrationTests.java    From spring-cloud-stream-binder-kafka with Apache License 2.0 6 votes vote down vote up
@StreamListener
@SendTo("output")
public KStream<Long, EnrichedOrder> process(
		@Input("input") KStream<Long, Order> ordersStream,
		@Input("input-x") GlobalKTable<Long, Customer> customers,
		@Input("input-y") GlobalKTable<Long, Product> products) {

	KStream<Long, CustomerOrder> customerOrdersStream = ordersStream.join(
			customers, (orderId, order) -> order.getCustomerId(),
			(order, customer) -> new CustomerOrder(customer, order));

	return customerOrdersStream.join(products,
			(orderId, customerOrder) -> customerOrder.productId(),
			(customerOrder, product) -> {
				EnrichedOrder enrichedOrder = new EnrichedOrder();
				enrichedOrder.setProduct(product);
				enrichedOrder.setCustomer(customerOrder.customer);
				enrichedOrder.setOrder(customerOrder.order);
				return enrichedOrder;
			});
}
 
Example 3
Source File: StreamToTableJoinIntegrationTests.java    From spring-cloud-stream-binder-kafka with Apache License 2.0 5 votes vote down vote up
@StreamListener
public void testProcessor(
		@Input(BindingsForTwoKStreamJoinTest.INPUT_1) KStream<String, String> input1Stream,
		@Input(BindingsForTwoKStreamJoinTest.INPUT_2) KStream<String, String> input2Stream) {
	input1Stream
			.join(input2Stream,
					(event1, event2) -> null,
					JoinWindows.of(TimeUnit.MINUTES.toMillis(5)),
					Joined.with(
							Serdes.String(),
							Serdes.String(),
							Serdes.String()
					)
			);
}
 
Example 4
Source File: NamingChangelogAndRepartitionTopics.java    From kafka-tutorials with Apache License 2.0 4 votes vote down vote up
public Topology buildTopology(Properties envProps) {
  final StreamsBuilder builder = new StreamsBuilder();
  final String inputTopic = envProps.getProperty("input.topic.name");
  final String outputTopic = envProps.getProperty("output.topic.name");
  final String joinTopic = envProps.getProperty("join.topic.name");

  final Serde<Long> longSerde = Serdes.Long();
  final Serde<String> stringSerde = Serdes.String();

  final boolean addFilter = Boolean.parseBoolean(envProps.getProperty("add.filter"));
  final boolean addNames = Boolean.parseBoolean(envProps.getProperty("add.names"));

  KStream<Long, String> inputStream = builder.stream(inputTopic, Consumed.with(longSerde, stringSerde))
                                                .selectKey((k, v) -> Long.parseLong(v.substring(0, 1)));
  if (addFilter) {
    inputStream = inputStream.filter((k, v) -> k != 100L);
  }

  final KStream<Long, String> joinedStream;
  final KStream<Long, Long> countStream;

  if (!addNames) {
       countStream = inputStream.groupByKey(Grouped.with(longSerde, stringSerde))
                                  .count()
                                  .toStream();

      joinedStream = inputStream.join(countStream, (v1, v2) -> v1 + v2.toString(),
                                                            JoinWindows.of(Duration.ofMillis(100)),
                                                            StreamJoined.with(longSerde, stringSerde, longSerde));
  } else {
      countStream = inputStream.groupByKey(Grouped.with("count", longSerde, stringSerde))
                                 .count(Materialized.as("the-counting-store"))
                                 .toStream();

      joinedStream = inputStream.join(countStream, (v1, v2) -> v1 + v2.toString(),
                                                            JoinWindows.of(Duration.ofMillis(100)),
                                                            StreamJoined.with(longSerde, stringSerde, longSerde)
                                                                        .withName("join").withStoreName("the-join-store"));
  }

  joinedStream.to(joinTopic, Produced.with(longSerde, stringSerde));
  countStream.map((k,v) -> KeyValue.pair(k.toString(), v.toString())).to(outputTopic, Produced.with(stringSerde, stringSerde));


  return builder.build();
}
 
Example 5
Source File: KafkaStreamsJoinsApp.java    From kafka-streams-in-action with Apache License 2.0 4 votes vote down vote up
public static void main(String[] args) throws Exception {

        StreamsConfig streamsConfig = new StreamsConfig(getProperties());
        StreamsBuilder builder = new StreamsBuilder();


        Serde<Purchase> purchaseSerde = StreamsSerdes.PurchaseSerde();
        Serde<String> stringSerde = Serdes.String();

        KeyValueMapper<String, Purchase, KeyValue<String,Purchase>> custIdCCMasking = (k, v) -> {
            Purchase masked = Purchase.builder(v).maskCreditCard().build();
            return new KeyValue<>(masked.getCustomerId(), masked);
        };


        Predicate<String, Purchase> coffeePurchase = (key, purchase) -> purchase.getDepartment().equalsIgnoreCase("coffee");
        Predicate<String, Purchase> electronicPurchase = (key, purchase) -> purchase.getDepartment().equalsIgnoreCase("electronics");

        int COFFEE_PURCHASE = 0;
        int ELECTRONICS_PURCHASE = 1;

        KStream<String, Purchase> transactionStream = builder.stream( "transactions", Consumed.with(Serdes.String(), purchaseSerde)).map(custIdCCMasking);

        KStream<String, Purchase>[] branchesStream = transactionStream.selectKey((k,v)-> v.getCustomerId()).branch(coffeePurchase, electronicPurchase);

        KStream<String, Purchase> coffeeStream = branchesStream[COFFEE_PURCHASE];
        KStream<String, Purchase> electronicsStream = branchesStream[ELECTRONICS_PURCHASE];

        ValueJoiner<Purchase, Purchase, CorrelatedPurchase> purchaseJoiner = new PurchaseJoiner();
        JoinWindows twentyMinuteWindow =  JoinWindows.of(60 * 1000 * 20);

        KStream<String, CorrelatedPurchase> joinedKStream = coffeeStream.join(electronicsStream,
                                                                              purchaseJoiner,
                                                                              twentyMinuteWindow,
                                                                              Joined.with(stringSerde,
                                                                                          purchaseSerde,
                                                                                          purchaseSerde));

        joinedKStream.print(Printed.<String, CorrelatedPurchase>toSysOut().withLabel("joined KStream"));

        // used only to produce data for this application, not typical usage
        MockDataProducer.producePurchaseData();
        
        LOG.info("Starting Join Examples");
        KafkaStreams kafkaStreams = new KafkaStreams(builder.build(), streamsConfig);
        kafkaStreams.start();
        Thread.sleep(65000);
        LOG.info("Shutting down the Join Examples now");
        kafkaStreams.close();
        MockDataProducer.shutdown();


    }