Kafka集群环境安装
相关下载
- 相关下载:
JDK要求1.8版本以上。
Kafka下载地址:http://mirrors.shu.edu.cn/apache/kafka/1.0.0/kafka_2.11-1.0.0.tgz
Kafka集群规划
主机名
| IP
| 安装软件
|
Kafka1
| 192.168.1.221
| Jdk、Zookeeper、Kafka
|
Kafka2
| 192.168.1.222
| Jdk、Zookeeper、Kafka
|
Kafka3
| 192.168.1.223
| Jdk、Zookeeper、Kafka
|
1. 配置ssh免密码登录:
产生密钥,执行命令:ssh-keygen -t rsa,按4回车,密钥文件位于\~/.ssh文件
在192.168.1.221上生产一对钥匙,将公钥拷贝到其他节点,包括自己,执行命令:
ssh-copy-id 192.168.1.221
ssh-copy-id 192.168.1.222
ssh-copy-id 192.168.1.223
在192.168.1.222上生产一对钥匙,将公钥拷贝到其他节点,包括自己,执行命令:
ssh-copy-id 192.168.1.221
ssh-copy-id 192.168.1.222
ssh-copy-id 192.168.1.223
在192.168.1.223上生产一对钥匙,将公钥拷贝到其他节点,包括自己,执行命令:
ssh-copy-id 192.168.1.221
ssh-copy-id 192.168.1.222
ssh-copy-id 192.168.1.223
- 在所有的服务器上设置环境变量:
export JAVA_HOME=/usr/local/software/jdk1.8.0_66
export CLASSPATH=.:$JAVA_HOME</span>/lib/dt.<span class="hljs-symbol">jar:</span><span class="hljs-variable">$JAVA_HOME/lib/tools.jar
export KAFKA_HOME=/usr/local/software/kafka_2.11-1.0.0
export ZOOKEEPER_HOME=/usr/local/software/zookeeper-3.4.11
export PATH=.:$JAVA_HOME</span>/<span class="hljs-symbol">bin:</span><span class="hljs-variable">$KAFKA_HOME/bin:$ZOOKEEPER_HOME</span>/<span class="hljs-symbol">bin:</span><span class="hljs-variable">$PATH
tl stop firewalld.service
systemctl disable firewalld.service
安装Kafka
- 分别在[Kafka1、Kafka2、Kafka3]服务器下载:
tar -zxvf kafka_2.11-1.0.0.tgz
2. 修改配置文件:
Kafka1服务器配置文件
broker.id=0
listeners=PLAINTEXT://:9092
log.dir= /usr/local/software/kafka_2.11-1.0.0/kafka-logs
Kafka2服务器配置文件
broker.id=1
listeners=PLAINTEXT://:9092
log.dir= /usr/local/software/kafka_2.11-1.0.0/kafka-logs
Kafka3服务器配置文件
broker.id=2
listeners=PLAINTEXT://:9092
log.dir= /usr/local/software/kafka_2.11-1.0.0/kafka-logs
- 分别启动[Kafka1、Kafka2、Kafka3]服务器的kafka服务
启动命令:./bin/kafka-server-start.sh -daemon config/server.properties
查看启动日志:tail -100f logs/server.log
查看启动端口:lsof -i:9092
创建主题Topic
- 创建主题topic
执行命令:bin/kafka-topics.sh - -create - -zookeeper 192.168.1.221:2181
- -replication-factor 2 - -partitions 2 - -topic test
- 查看主题topic描述
执行命令:bin/kafka-topics.sh –list –zookeeper 192.168.1.223:2181
1. 查看创建的所有主题
执行命令:bin/kafka-topics.sh –list –zookeeper 192.168.1.223:2181
- 生产者生产消息
执行命令:bin/kafka-console-producer.sh –broker-list 192.168.1.221:9092 –topic test
- 消费者消费消息
执行命令:bin/kafka-console-consumer.sh –bootstrap-server 192.168.1.223:9092 –topic test –from-beginning
JAVA客户端
- 新建一个maven项目,项目名称:kafka-demo:
代码结构如下:
1. Maven的pom.xml文件:
<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.kafka</groupId>
<artifactId>kafka-demo</artifactId>
<version>1.0-SNAPSHOT</version>
<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<configuration>
<source>1.8</source>
<target>1.8</target>
</configuration>
</plugin>
</plugins>
</build>
<packaging>jar</packaging>
<name>kafka-demo</name>
<url>http://maven.apache.org</url>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
</properties>
<dependencies>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>4.12</version>
<scope>test</scope>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.kafka/kafka-clients -->
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka-clients</artifactId>
<version>1.0.0</version>
</dependency>
</dependencies>
</project>
- 生产者代码实现:
package com.kafka;
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.Producer;
import org.apache.kafka.clients.producer.ProducerRecord;
import java.util.Properties;
/**
* 生产者代码
*/
public class DemoProducer{
public static void main( String[] args ){
Properties props = new Properties();
props.put("bootstrap.servers", "192.168.1.221:9092,192.168.1.222:9092,192.168.1.223:9092");
props.put("acks", "all");
props.put("retries", 0);
props.put("batch.size", 16384);
props.put("linger.ms", 1);
props.put("buffer.memory", 33554432);
props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");
Producer<String, String> producer = new KafkaProducer<>(props);
for(int i = 0; i < 10; i++) {
producer.send(new ProducerRecord<>("test", Integer.toString(i), "message_value=====>" + i));
}
producer.close();
}
}
- 消费者代码实现:
package com.kafka;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import java.util.Arrays;
import java.util.Properties;
/**
* 消费者代码
*/
public class DemoConsumer {
public static void main(String[] args) {
Properties props = new Properties();
props.put("bootstrap.servers", "192.168.1.221:9092,192.168.1.222:9092,192.168.1.223:9092");
props.put("group.id", "test");
props.put("enable.auto.commit", "true");
props.put("auto.commit.interval.ms", "1000");
props.put("session.timeout.ms", "30000");
props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
props.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
KafkaConsumer<String, String> consumer = new KafkaConsumer<>(props);
consumer.subscribe(Arrays.asList("test"));
while(true) {
ConsumerRecords<String, String> records = consumer.poll(100);
for(ConsumerRecord<String, String> record : records) {
System.out.printf("offset = %d, key = %s, value = %s\n", record.offset(), record.key(), record.value());
}
}
}
}
消息结果:
message_value=====>1
message_value=====>5
message_value=====>7
message_value=====>8
message_value=====>4
message_value=====>6
message_value=====>0
message_value=====>2
message_value=====>3
message_value=====>9
学习Kafka推荐书籍:
- 《Kafka入门与实践》
- 《Kafka技术内幕 图文详解Kafka源码设计与实现》
- 《流式架构:Kafka与MapR Streams数据流处理》
- 《Scala语言基础与开发实战》
- 《Kafka权威指南》
- 《Kafka源码解析与实战》
–以上为《Kafka集群环境安装》,如有不当之处请指出,我后续逐步完善更正,大家共同提高。谢谢大家对我的关注。——厚积薄发(yuanxw)