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Example 1 with Windowed

use of org.apache.kafka.streams.kstream.Windowed in project kafka by apache.

the class PageViewTypedDemo method main.

public static void main(String[] args) throws Exception {
    Properties props = new Properties();
    props.put(StreamsConfig.APPLICATION_ID_CONFIG, "streams-pageview-typed");
    props.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");
    props.put(StreamsConfig.TIMESTAMP_EXTRACTOR_CLASS_CONFIG, JsonTimestampExtractor.class);
    // setting offset reset to earliest so that we can re-run the demo code with the same pre-loaded data
    props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
    KStreamBuilder builder = new KStreamBuilder();
    // TODO: the following can be removed with a serialization factory
    Map<String, Object> serdeProps = new HashMap<>();
    final Serializer<PageView> pageViewSerializer = new JsonPOJOSerializer<>();
    serdeProps.put("JsonPOJOClass", PageView.class);
    pageViewSerializer.configure(serdeProps, false);
    final Deserializer<PageView> pageViewDeserializer = new JsonPOJODeserializer<>();
    serdeProps.put("JsonPOJOClass", PageView.class);
    pageViewDeserializer.configure(serdeProps, false);
    final Serde<PageView> pageViewSerde = Serdes.serdeFrom(pageViewSerializer, pageViewDeserializer);
    final Serializer<UserProfile> userProfileSerializer = new JsonPOJOSerializer<>();
    serdeProps.put("JsonPOJOClass", UserProfile.class);
    userProfileSerializer.configure(serdeProps, false);
    final Deserializer<UserProfile> userProfileDeserializer = new JsonPOJODeserializer<>();
    serdeProps.put("JsonPOJOClass", UserProfile.class);
    userProfileDeserializer.configure(serdeProps, false);
    final Serde<UserProfile> userProfileSerde = Serdes.serdeFrom(userProfileSerializer, userProfileDeserializer);
    final Serializer<WindowedPageViewByRegion> wPageViewByRegionSerializer = new JsonPOJOSerializer<>();
    serdeProps.put("JsonPOJOClass", WindowedPageViewByRegion.class);
    wPageViewByRegionSerializer.configure(serdeProps, false);
    final Deserializer<WindowedPageViewByRegion> wPageViewByRegionDeserializer = new JsonPOJODeserializer<>();
    serdeProps.put("JsonPOJOClass", WindowedPageViewByRegion.class);
    wPageViewByRegionDeserializer.configure(serdeProps, false);
    final Serde<WindowedPageViewByRegion> wPageViewByRegionSerde = Serdes.serdeFrom(wPageViewByRegionSerializer, wPageViewByRegionDeserializer);
    final Serializer<RegionCount> regionCountSerializer = new JsonPOJOSerializer<>();
    serdeProps.put("JsonPOJOClass", RegionCount.class);
    regionCountSerializer.configure(serdeProps, false);
    final Deserializer<RegionCount> regionCountDeserializer = new JsonPOJODeserializer<>();
    serdeProps.put("JsonPOJOClass", RegionCount.class);
    regionCountDeserializer.configure(serdeProps, false);
    final Serde<RegionCount> regionCountSerde = Serdes.serdeFrom(regionCountSerializer, regionCountDeserializer);
    final Serializer<PageViewByRegion> pageViewByRegionSerializer = new JsonPOJOSerializer<>();
    serdeProps.put("JsonPOJOClass", PageViewByRegion.class);
    pageViewByRegionSerializer.configure(serdeProps, false);
    final Deserializer<PageViewByRegion> pageViewByRegionDeserializer = new JsonPOJODeserializer<>();
    serdeProps.put("JsonPOJOClass", PageViewByRegion.class);
    pageViewByRegionDeserializer.configure(serdeProps, false);
    final Serde<PageViewByRegion> pageViewByRegionSerde = Serdes.serdeFrom(pageViewByRegionSerializer, pageViewByRegionDeserializer);
    KStream<String, PageView> views = builder.stream(Serdes.String(), pageViewSerde, "streams-pageview-input");
    KTable<String, UserProfile> users = builder.table(Serdes.String(), userProfileSerde, "streams-userprofile-input", "streams-userprofile-store-name");
    KStream<WindowedPageViewByRegion, RegionCount> regionCount = views.leftJoin(users, new ValueJoiner<PageView, UserProfile, PageViewByRegion>() {

        @Override
        public PageViewByRegion apply(PageView view, UserProfile profile) {
            PageViewByRegion viewByRegion = new PageViewByRegion();
            viewByRegion.user = view.user;
            viewByRegion.page = view.page;
            if (profile != null) {
                viewByRegion.region = profile.region;
            } else {
                viewByRegion.region = "UNKNOWN";
            }
            return viewByRegion;
        }
    }).map(new KeyValueMapper<String, PageViewByRegion, KeyValue<String, PageViewByRegion>>() {

        @Override
        public KeyValue<String, PageViewByRegion> apply(String user, PageViewByRegion viewRegion) {
            return new KeyValue<>(viewRegion.region, viewRegion);
        }
    }).groupByKey(Serdes.String(), pageViewByRegionSerde).count(TimeWindows.of(7 * 24 * 60 * 60 * 1000L).advanceBy(1000), "RollingSevenDaysOfPageViewsByRegion").toStream().map(new KeyValueMapper<Windowed<String>, Long, KeyValue<WindowedPageViewByRegion, RegionCount>>() {

        @Override
        public KeyValue<WindowedPageViewByRegion, RegionCount> apply(Windowed<String> key, Long value) {
            WindowedPageViewByRegion wViewByRegion = new WindowedPageViewByRegion();
            wViewByRegion.windowStart = key.window().start();
            wViewByRegion.region = key.key();
            RegionCount rCount = new RegionCount();
            rCount.region = key.key();
            rCount.count = value;
            return new KeyValue<>(wViewByRegion, rCount);
        }
    });
    // write to the result topic
    regionCount.to(wPageViewByRegionSerde, regionCountSerde, "streams-pageviewstats-typed-output");
    KafkaStreams streams = new KafkaStreams(builder, props);
    streams.start();
    // usually the stream application would be running forever,
    // in this example we just let it run for some time and stop since the input data is finite.
    Thread.sleep(5000L);
    streams.close();
}
Also used : KeyValue(org.apache.kafka.streams.KeyValue) HashMap(java.util.HashMap) Properties(java.util.Properties) ValueJoiner(org.apache.kafka.streams.kstream.ValueJoiner) KStreamBuilder(org.apache.kafka.streams.kstream.KStreamBuilder) KafkaStreams(org.apache.kafka.streams.KafkaStreams) Windowed(org.apache.kafka.streams.kstream.Windowed)

Example 2 with Windowed

use of org.apache.kafka.streams.kstream.Windowed in project kafka by apache.

the class PageViewUntypedDemo method main.

public static void main(String[] args) throws Exception {
    Properties props = new Properties();
    props.put(StreamsConfig.APPLICATION_ID_CONFIG, "streams-pageview-untyped");
    props.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");
    props.put(StreamsConfig.TIMESTAMP_EXTRACTOR_CLASS_CONFIG, JsonTimestampExtractor.class);
    // setting offset reset to earliest so that we can re-run the demo code with the same pre-loaded data
    props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
    KStreamBuilder builder = new KStreamBuilder();
    final Serializer<JsonNode> jsonSerializer = new JsonSerializer();
    final Deserializer<JsonNode> jsonDeserializer = new JsonDeserializer();
    final Serde<JsonNode> jsonSerde = Serdes.serdeFrom(jsonSerializer, jsonDeserializer);
    KStream<String, JsonNode> views = builder.stream(Serdes.String(), jsonSerde, "streams-pageview-input");
    KTable<String, JsonNode> users = builder.table(Serdes.String(), jsonSerde, "streams-userprofile-input", "streams-userprofile-store-name");
    KTable<String, String> userRegions = users.mapValues(new ValueMapper<JsonNode, String>() {

        @Override
        public String apply(JsonNode record) {
            return record.get("region").textValue();
        }
    });
    KStream<JsonNode, JsonNode> regionCount = views.leftJoin(userRegions, new ValueJoiner<JsonNode, String, JsonNode>() {

        @Override
        public JsonNode apply(JsonNode view, String region) {
            ObjectNode jNode = JsonNodeFactory.instance.objectNode();
            return jNode.put("user", view.get("user").textValue()).put("page", view.get("page").textValue()).put("region", region == null ? "UNKNOWN" : region);
        }
    }).map(new KeyValueMapper<String, JsonNode, KeyValue<String, JsonNode>>() {

        @Override
        public KeyValue<String, JsonNode> apply(String user, JsonNode viewRegion) {
            return new KeyValue<>(viewRegion.get("region").textValue(), viewRegion);
        }
    }).groupByKey(Serdes.String(), jsonSerde).count(TimeWindows.of(7 * 24 * 60 * 60 * 1000L).advanceBy(1000), "RollingSevenDaysOfPageViewsByRegion").toStream().map(new KeyValueMapper<Windowed<String>, Long, KeyValue<JsonNode, JsonNode>>() {

        @Override
        public KeyValue<JsonNode, JsonNode> apply(Windowed<String> key, Long value) {
            ObjectNode keyNode = JsonNodeFactory.instance.objectNode();
            keyNode.put("window-start", key.window().start()).put("region", key.key());
            ObjectNode valueNode = JsonNodeFactory.instance.objectNode();
            valueNode.put("count", value);
            return new KeyValue<>((JsonNode) keyNode, (JsonNode) valueNode);
        }
    });
    // write to the result topic
    regionCount.to(jsonSerde, jsonSerde, "streams-pageviewstats-untyped-output");
    KafkaStreams streams = new KafkaStreams(builder, props);
    streams.start();
    // usually the stream application would be running forever,
    // in this example we just let it run for some time and stop since the input data is finite.
    Thread.sleep(5000L);
    streams.close();
}
Also used : KeyValue(org.apache.kafka.streams.KeyValue) JsonNode(com.fasterxml.jackson.databind.JsonNode) JsonSerializer(org.apache.kafka.connect.json.JsonSerializer) Properties(java.util.Properties) JsonDeserializer(org.apache.kafka.connect.json.JsonDeserializer) ValueJoiner(org.apache.kafka.streams.kstream.ValueJoiner) KStreamBuilder(org.apache.kafka.streams.kstream.KStreamBuilder) KafkaStreams(org.apache.kafka.streams.KafkaStreams) ObjectNode(com.fasterxml.jackson.databind.node.ObjectNode) Windowed(org.apache.kafka.streams.kstream.Windowed)

Example 3 with Windowed

use of org.apache.kafka.streams.kstream.Windowed in project kafka by apache.

the class SessionKeySerde method fromBytes.

public static Windowed<Bytes> fromBytes(Bytes bytesKey) {
    final byte[] binaryKey = bytesKey.get();
    final ByteBuffer buffer = ByteBuffer.wrap(binaryKey);
    final long start = buffer.getLong(binaryKey.length - TIMESTAMP_SIZE);
    final long end = buffer.getLong(binaryKey.length - 2 * TIMESTAMP_SIZE);
    return new Windowed<>(Bytes.wrap(extractKeyBytes(binaryKey)), new SessionWindow(start, end));
}
Also used : Windowed(org.apache.kafka.streams.kstream.Windowed) ByteBuffer(java.nio.ByteBuffer)

Example 4 with Windowed

use of org.apache.kafka.streams.kstream.Windowed in project kafka by apache.

the class ResetIntegrationTest method setupTopologyWithIntermediateUserTopic.

private KStreamBuilder setupTopologyWithIntermediateUserTopic(final String outputTopic2) {
    final KStreamBuilder builder = new KStreamBuilder();
    final KStream<Long, String> input = builder.stream(INPUT_TOPIC);
    // use map to trigger internal re-partitioning before groupByKey
    input.map(new KeyValueMapper<Long, String, KeyValue<Long, String>>() {

        @Override
        public KeyValue<Long, String> apply(final Long key, final String value) {
            return new KeyValue<>(key, value);
        }
    }).groupByKey().count("global-count").to(Serdes.Long(), Serdes.Long(), OUTPUT_TOPIC);
    input.through(INTERMEDIATE_USER_TOPIC).groupByKey().count(TimeWindows.of(35).advanceBy(10), "count").toStream().map(new KeyValueMapper<Windowed<Long>, Long, KeyValue<Long, Long>>() {

        @Override
        public KeyValue<Long, Long> apply(final Windowed<Long> key, final Long value) {
            return new KeyValue<>(key.window().start() + key.window().end(), value);
        }
    }).to(Serdes.Long(), Serdes.Long(), outputTopic2);
    return builder;
}
Also used : KStreamBuilder(org.apache.kafka.streams.kstream.KStreamBuilder) Windowed(org.apache.kafka.streams.kstream.Windowed) KeyValue(org.apache.kafka.streams.KeyValue) KeyValueMapper(org.apache.kafka.streams.kstream.KeyValueMapper)

Example 5 with Windowed

use of org.apache.kafka.streams.kstream.Windowed in project kafka by apache.

the class KGroupedStreamImplTest method shouldAggregateSessionWindows.

@Test
public void shouldAggregateSessionWindows() throws Exception {
    final Map<Windowed<String>, Integer> results = new HashMap<>();
    groupedStream.aggregate(new Initializer<Integer>() {

        @Override
        public Integer apply() {
            return 0;
        }
    }, new Aggregator<String, String, Integer>() {

        @Override
        public Integer apply(final String aggKey, final String value, final Integer aggregate) {
            return aggregate + 1;
        }
    }, new Merger<String, Integer>() {

        @Override
        public Integer apply(final String aggKey, final Integer aggOne, final Integer aggTwo) {
            return aggOne + aggTwo;
        }
    }, SessionWindows.with(30), Serdes.Integer(), "session-store").foreach(new ForeachAction<Windowed<String>, Integer>() {

        @Override
        public void apply(final Windowed<String> key, final Integer value) {
            results.put(key, value);
        }
    });
    driver = new KStreamTestDriver(builder, TestUtils.tempDirectory());
    driver.setTime(10);
    driver.process(TOPIC, "1", "1");
    driver.setTime(15);
    driver.process(TOPIC, "2", "2");
    driver.setTime(30);
    driver.process(TOPIC, "1", "1");
    driver.setTime(70);
    driver.process(TOPIC, "1", "1");
    driver.setTime(90);
    driver.process(TOPIC, "1", "1");
    driver.setTime(100);
    driver.process(TOPIC, "1", "1");
    driver.flushState();
    assertEquals(Integer.valueOf(2), results.get(new Windowed<>("1", new SessionWindow(10, 30))));
    assertEquals(Integer.valueOf(1), results.get(new Windowed<>("2", new SessionWindow(15, 15))));
    assertEquals(Integer.valueOf(3), results.get(new Windowed<>("1", new SessionWindow(70, 100))));
}
Also used : HashMap(java.util.HashMap) Aggregator(org.apache.kafka.streams.kstream.Aggregator) MockAggregator(org.apache.kafka.test.MockAggregator) Windowed(org.apache.kafka.streams.kstream.Windowed) KStreamTestDriver(org.apache.kafka.test.KStreamTestDriver) Merger(org.apache.kafka.streams.kstream.Merger) MockInitializer(org.apache.kafka.test.MockInitializer) Initializer(org.apache.kafka.streams.kstream.Initializer) Test(org.junit.Test)

Aggregations

Windowed (org.apache.kafka.streams.kstream.Windowed)39 Test (org.junit.Test)32 KeyValue (org.apache.kafka.streams.KeyValue)18 SessionWindow (org.apache.kafka.streams.kstream.internals.SessionWindow)18 HashMap (java.util.HashMap)6 KeyValueMapper (org.apache.kafka.streams.kstream.KeyValueMapper)6 KStreamTestDriver (org.apache.kafka.test.KStreamTestDriver)6 StringDeserializer (org.apache.kafka.common.serialization.StringDeserializer)5 Bytes (org.apache.kafka.common.utils.Bytes)5 KStreamBuilder (org.apache.kafka.streams.kstream.KStreamBuilder)5 MockKeyValueMapper (org.apache.kafka.test.MockKeyValueMapper)5 Properties (java.util.Properties)4 Comparator (java.util.Comparator)3 File (java.io.File)2 CountDownLatch (java.util.concurrent.CountDownLatch)2 LongDeserializer (org.apache.kafka.common.serialization.LongDeserializer)2 StringSerializer (org.apache.kafka.common.serialization.StringSerializer)2 KafkaStreams (org.apache.kafka.streams.KafkaStreams)2 Reducer (org.apache.kafka.streams.kstream.Reducer)2 ValueJoiner (org.apache.kafka.streams.kstream.ValueJoiner)2