kafka 0.8.2 消息生产者 producer
2017-03-22 23:20
483 查看
package com.hashleaf.kafka; import java.util.Properties; import kafka.javaapi.producer.Producer; import kafka.producer.KeyedMessage; import kafka.producer.ProducerConfig; /** * 消息生产者 * @author xiaojf 294825811@qq.com * @since 2015-7-15 下午10:50:01 */ public class MyProducer { //发送消息的topic public static final String HASHLEAF_KAFKA_TOPIC = "hashleaf_topic"; private final Producer<String, String> producer; public MyProducer() { Properties props = new Properties(); //指定代理服务器的地址 props.put("metadata.broker.list", "192.168.66.2:9092,192.168.66.3:9092,192.168.66.4:9092"); //配置value的序列化类 props.put("serializer.class", "kafka.serializer.StringEncoder"); //配置key的序列化类 props.put("key.serializer.class", "kafka.serializer.StringEncoder"); //指定分区 props.put("partitioner.class", "com.hashleaf.kafka.MyPartitioner"); //request.required.acks //0, which means that the producer never waits for an acknowledgement from the broker (the same behavior as 0.7). This option provides the lowest latency but the weakest durability guarantees (some data will be lost when a server fails). //1, which means that the producer gets an acknowledgement after the leader replica has received the data. This option provides better durability as the client waits until the server acknowledges the request as successful (only messages that were written to the now-dead leader but not yet replicated will be lost). //-1, which means that the producer gets an acknowledgement after all in-sync replicas have received the data. This option provides the best durability, we guarantee that no messages will be lost as long as at least one in sync replica remains. props.put("request.required.acks","-1"); //创建producer 对象 producer = new Producer<String, String>(new ProducerConfig(props)); } public void produce(){ int count = 1000; for (int i = 0; i < count; i++) { String key = String.valueOf(i); String message = "hashleaf-"+i; producer.send(new KeyedMessage<String, String>(HASHLEAF_KAFKA_TOPIC, key ,message)); } //发送完成后关闭 //producer.close(); } public static void main(String[] args) { new MyProducer().produce(); } }
自定义分区
package com.hashleaf.kafka; import kafka.producer.Partitioner; import kafka.utils.VerifiableProperties; /** * 自定义分区规则 * @author xiaojf 294825811@qq.com * @since 2015-7-15 下午11:57:23 */ public class MyPartitioner implements Partitioner { public MyPartitioner(VerifiableProperties props){ } @Override public int partition(Object obj, int numPartitions) { System.out.println(obj); return Integer.parseInt( obj +"") % numPartitions; } }
maven
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> <modelVersion>4.0.0</modelVersion> <groupId>com.hashleaf</groupId> <artifactId>kafka</artifactId> <version>0.0.1-SNAPSHOT</version> <dependencies> <dependency> <groupId>org.apache.kafka</groupId> <artifactId>kafka_2.9.2</artifactId> <version>0.8.2.1</version> </dependency> <dependency> <groupId>log4j</groupId> <artifactId>log4j</artifactId> <version>1.2.15</version> <exclusions> <exclusion> <artifactId>jmxtools</artifactId> <groupId>com.sun.jdmk</groupId> </exclusion> <exclusion> <artifactId>jmxri</artifactId> <groupId>com.sun.jmx</groupId> </exclusion> <exclusion> <artifactId>jms</artifactId> <groupId>javax.jms</groupId> </exclusion> <exclusion> <artifactId>mail</artifactId> <groupId>javax.mail</groupId> </exclusion> </exclusions> </dependency> <dependency> <groupId>junit</groupId> <artifactId>junit</artifactId> <version>4.11</version> <scope>test</scope> </dependency> </dependencies> <build> <plugins> <plugin> <artifactId>maven-compiler-plugin</artifactId> <configuration> <source>1.6</source> <target>1.6</target> </configuration> </plugin> </plugins> </build> </project>
相关文章推荐
- kafka 0.8.2 消息生产者 KafkaProducer
- kafka 0.10.2 消息生产者(producer)
- 基于Confluent.Kafka实现的KafkaConsumer消费者类和KafkaProducer消息生产者类型
- kafka producer 发送消息的流程分析
- kafka单条消息过大导致生产者程序发送到broker失败
- kafka入门1-集群生产消息 报:ERROR Producer connection to localhost:9092 unsuccessful
- kafka(java客户端)消费者取不到消息,生产者消息也没发送成功
- kafka 0.10.2 消息生产者
- windows平台下,采用kafka作为消息中间件,consumer和producer采用java api (环境搭建)
- 使用Python开发Kafka消息生产者
- kafka_2.11-0.8.2.1生产者producer的Java实现
- kafka--producer 发布消息
- kafka producer demo 生产者
- Kafka:Producer生产者发送逻辑 - 源码
- kafka 文档 (三)producer(生产者)和高级消费者
- 创建Kafka0.8.2生产者与消费者
- kafka 0.8.2 消息消费者 consumer
- Kafka Producer机制优化-提高发送消息可靠性
- kafka-clients 0.10 消息生产者
- kafka单节点搭建(创建topic让producer为consumer提供消息)