Kafka集群环境安装

 

相关下载

  1. 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入门教程(二)_zookeeper

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

  1. 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

  1. 分别在[Kafka1、Kafka2、Kafka3]服务器下载:
tar -zxvf kafka_2.11-1.0.0.tgz 

Kafka入门教程(二)_apache_02

 


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

  1. 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 

Kafka入门教程(二)_zookeeper_03

创建主题Topic

  1. 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

  1. 查看主题topic描述
执行命令:bin/kafka-topics.sh –list –zookeeper 192.168.1.223:2181 

Kafka入门教程(二)_kafka_04


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

  1. 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

  1. 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

  1. 新建一个maven项目,项目名称:kafka-demo:
代码结构如下: 

Kafka入门教程(二)_zookeeper_05

 


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>


  1. 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();
}
}


  1. 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:

  1. 《Kafka入门与实践》
  2. 《Kafka技术内幕 图文详解Kafka源码设计与实现》
  3. 《流式架构:Kafka与MapR Streams数据流处理》
  4. ​《Scala语言基础与开发实战》​
  5. 《Kafka权威指南》
  6. 《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)