Kafka Java API producer

Source: Internet
Author: User

Import Java.util.HashMap;

Import java.util.List;
Import Java.util.Map;
Import java.util.Properties;

Import Org.junit.Test;

Import Kafka.consumer.Consumer;
Import Kafka.consumer.ConsumerConfig;
Import Kafka.consumer.ConsumerIterator;
Import Kafka.consumer.KafkaStream;
Import Kafka.javaapi.consumer.ConsumerConnector;
Import Kafka.javaapi.producer.Producer;
Import Kafka.producer.KeyedMessage;
Import Kafka.producer.ProducerConfig;

public class Kafkaproducer {

Private final producer<string, string> Producer;
Public final static String TOPIC = "Test";

Private Kafkaproducer () {

Properties Props = new properties ();

The broker address for Kafka is configured here: List of ports
Props.put ("Metadata.broker.list", ",,");

To configure the serialization class for value
Props.put ("Serializer.class", "Kafka.serializer.StringEncoder");

Configuring the serialization class for key
Props.put ("Key.serializer.class", "Kafka.serializer.StringEncoder");

0, which means that the producer never waits for a acknowledgement from the broker (the same behavior as 0.7). This option provides the lowest latency but the weakest durability guarantees (some data would be lost when a server fails) .
1, which means that the producer gets a acknowledgement after the leader replica have received the data. This option provides better durability as the client waits until the server acknowledges the request as successful (only M Essages that were written to the Now-dead leader and not yet replicated would be lost).
-1, which means that the producer gets a acknowledgement after all In-sync replicas has received the data. This option provides the best durability, we guarantee that no messages would be lost as long as at least one in sync repli CA remains.
Props.put ("Request.required.acks", "1");

Producer = new producer<string, string> (new Producerconfig (props));

void Produce () {
int Messageno = 1;
Final int COUNT = 101;

int messagecount = 0;
while (Messageno < COUNT) {
String key = String.valueof (Messageno);
String data = "Hello Kafka message:" + key;
Producer.send (New keyedmessage<string, string> (TOPIC, key, data));
Messageno + +;

System.out.println ("producer End produced a" + Messagecount + "Message! ");

public static void Main (string[] args)
New Kafkaproducer (). produce ();


Kafka Java API producer

Contact Us

The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion; products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the content of the page makes you feel confusing, please write us an email, we will handle the problem within 5 days after receiving your email.

If you find any instances of plagiarism from the community, please send an email to: info-contact@alibabacloud.com and provide relevant evidence. A staff member will contact you within 5 working days.

A Free Trial That Lets You Build Big!

Start building with 50+ products and up to 12 months usage for Elastic Compute Service

  • Sales Support

    1 on 1 presale consultation

  • After-Sales Support

    24/7 Technical Support 6 Free Tickets per Quarter Faster Response

  • Alibaba Cloud offers highly flexible support services tailored to meet your exact needs.