kafka.serializer.StringEncoder Java Examples

private static Producer<String, String> initProducer() {
    Properties props = new Properties();
    props.put("metadata.broker.list", BROKER_LIST);
    // props.put("serializer.class", "kafka.serializer.StringEncoder");
    props.put("serializer.class", StringEncoder.class.getName());
    props.put("partitioner.class", HashPartitioner.class.getName());
//    props.put("compression.codec", "0");
    props.put("producer.type", "sync");
    props.put("batch.num.messages", "1");
    props.put("queue.buffering.max.messages", "1000000");
    props.put("queue.enqueue.timeout.ms", "20000000");

    
    ProducerConfig config = new ProducerConfig(props);
    Producer<String, String> producer = new Producer<String, String>(config);
    return producer;
  }
 

private String getKey(String topic, K key) {
    // If key is a String, we can use it as it is, otherwise, serialize to byte[] and encode in base64
    if (keySerializer!=null && keySerializer instanceof StringEncoder) {
        return (String) key;
    } else {
        byte[] keyBytes = keySerializer.toBytes(key);
        return Base64.getEncoder().encodeToString(keyBytes);
    }
}
 

private static void publishMessage(Arguments arguments) {
    // (2) Create producer
    Properties properties2 = new Properties();
    properties2.put(BROKER_URL, arguments.serviceUrl);
    properties2.put(PRODUCER_TYPE, "sync");
    properties2.put(SERIALIZER_CLASS, TestEncoder.class.getName());
    properties2.put(KEY_SERIALIZER_CLASS, StringEncoder.class.getName());
    properties2.put(PARTITIONER_CLASS, TestPartitioner.class.getName());
    properties2.put(COMPRESSION_CODEC, "gzip"); // compression: ZLIB
    properties2.put(QUEUE_ENQUEUE_TIMEOUT_MS, "-1"); // block queue if full => -1 = true
    properties2.put(QUEUE_BUFFERING_MAX_MESSAGES, "6000"); // queue max message
    properties2.put(QUEUE_BUFFERING_MAX_MS, "100"); // batch delay
    properties2.put(BATCH_NUM_MESSAGES, "500"); // batch msg
    properties2.put(CLIENT_ID, "test");
    ProducerConfig config = new ProducerConfig(properties2);
    Producer<String, Tweet> producer = new Producer<>(config);

    String name = "user";
    String msg = arguments.messageValue;
    for (int i = 0; i < arguments.totalMessages; i++) {
        String sendMessage = msg + i;
        Tweet tweet = new Tweet(name, sendMessage);
        KeyedMessage<String, Tweet> message = new KeyedMessage<>(arguments.topicName, name, tweet);
        producer.send(message);
    }

    producer.close();
    log.info("Successfully published messages {}", arguments.totalMessages);

}
 

/**
 * Returns a kafka connection uri
 * @return a kafka connection uri
 * represented by this connection information
 */
public String kafkaUri() {
    return String.format(
                    "kafka://%s?topic=%s&groupId=%s&zookeeperHost=%s&zookeeperPort=%d&serializerClass=%s&keySerializerClass=%s",
                    kafkaBrokerList, topicName, groupId, zookeeperHost, zookeeperPort,
                    StringEncoder.class.getName(), StringEncoder.class.getName());
}
 

@Test
public void testPulsarKafkaProducerWithSerializer() throws Exception {
    final String serviceUrl = lookupUrl.toString();
    final String topicName = "persistent://my-property/my-ns/my-topic1";

    // (1) Create consumer
    Properties properties = new Properties();
    properties.put("zookeeper.connect", serviceUrl);
    properties.put("group.id", "group1");
    properties.put("consumer.id", "cons1");
    properties.put("auto.commit.enable", "true");
    properties.put("auto.commit.interval.ms", "100");
    properties.put("queued.max.message.chunks", "100");

    ConsumerConfig conSConfig = new ConsumerConfig(properties);
    ConsumerConnector connector = new ConsumerConnector(conSConfig);
    Map<String, Integer> topicCountMap = Collections.singletonMap(topicName, 2);
    Map<String, List<PulsarKafkaStream<String, Tweet>>> streams = connector.createMessageStreams(topicCountMap,
            new StringDecoder(null), new TestDecoder());

    // (2) Create producer
    Properties properties2 = new Properties();
    properties2.put(BROKER_URL, serviceUrl);
    properties2.put(PRODUCER_TYPE, "sync");
    properties2.put(SERIALIZER_CLASS, TestEncoder.class.getName());
    properties2.put(KEY_SERIALIZER_CLASS, StringEncoder.class.getName());
    properties2.put(PARTITIONER_CLASS, TestPartitioner.class.getName());
    properties2.put(COMPRESSION_CODEC, "gzip"); // compression: ZLIB
    properties2.put(QUEUE_ENQUEUE_TIMEOUT_MS, "-1"); // block queue if full => -1 = true
    properties2.put(QUEUE_BUFFERING_MAX_MESSAGES, "6000"); // queue max message
    properties2.put(QUEUE_BUFFERING_MAX_MS, "100"); // batch delay
    properties2.put(BATCH_NUM_MESSAGES, "500"); // batch msg
    properties2.put(CLIENT_ID, "test");
    ProducerConfig config = new ProducerConfig(properties2);
    PulsarKafkaProducer<String, Tweet> producer = new PulsarKafkaProducer<>(config);

    String name = "user";
    String msg = "Hello World!";
    Set<Tweet> published = Sets.newHashSet();
    Set<Tweet> received = Sets.newHashSet();
    int total = 10;
    for (int i = 0; i < total; i++) {
        String sendMessage = msg + i;
        Tweet tweet = new Tweet(name, sendMessage);
        KeyedMessage<String, Tweet> message = new KeyedMessage<>(topicName, name, tweet);
        published.add(tweet);
        producer.send(message);
    }
    while (received.size() < total) {
        for (int i = 0; i < streams.size(); i++) {
            List<PulsarKafkaStream<String, Tweet>> kafkaStreams = streams.get(topicName);
            assertEquals(kafkaStreams.size(), 2);
            for (PulsarKafkaStream<String, Tweet> kafkaStream : kafkaStreams) {
                for (PulsarMessageAndMetadata<String, KafkaProducerConsumerTest.Tweet> record : kafkaStream) {
                    received.add(record.message());
                    assertEquals(record.key(), name);
                }
            }
        }
    }
    assertEquals(published.size(), received.size());
    published.removeAll(received);
    assertTrue(published.isEmpty());
}