kafka怎么样接收数据保存到MYSQL数据库

发布网友 发布时间：2022-04-24 04:50

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懂视网 时间：2022-05-02 18:50

一、软件环境：

操作系统：CentOS release 6.5 (Final)
java版本: jdk1.8
zookeeper版本: zookeeper-3.4.11
kafka 版本: kafka_2.11-1.1.0.tgz
maxwell版本：maxwell-1.16.0.tar.gz
注意 ： 关闭所有机器的防火墙，同时注意启动可以相互telnet ip 端口

二、环境部署

1、安装jdk

export JAVA_HOME=/usr/java/jdk1.8.0_181
export PATH=$JAVA_HOME/bin:$JAVA_HOME/jre/bin:$PATH
export CLASSPATH=.:$JAVA_HOME/lib:$JAVA_HOME/jre/lib:$CLASSPATH

2、安装maven

参考：https://www.cnblogs.com/wcwen1990/p/7227278.html

3、安装zookeeper

1）下载软件：

wget http://101.96.8.157/archive.apache.org/dist/zookeeper/zookeeper-3.4.11/zookeeper-3.4.11.tar.gz
tar zxvf zookeeper-3.4.11.tar.gz 
mv zookeeper-3.4.11 /usr/local/zookeeper

2）修改环境变量

编辑 /etc/profile 文件, 在文件末尾添加以下环境变量配置:

# ZooKeeper Env
export ZOOKEEPER_HOME=/usr/local/zookeeper
export PATH=$PATH:$ZOOKEEPER_HOME/bin

运行以下命令使环境变量生效: source /etc/profile

3）重命名配置文件

初次使用 ZooKeeper 时,需要将$ZOOKEEPER_HOME/conf 目录下的 zoo_sample.cfg 重命名为 zoo.cfg

mv  $ZOOKEEPER_HOME/conf/zoo_sample.cfg $ZOOKEEPER_HOME/conf/zoo.cfg

4）单机模式--修改配置文件
创建目录/usr/local/zookeeper/data 和/usr/local/zookeeper/logs 修改配置文件

tickTime=2000
initLimit=10
syncLimit=5
dataDir=/usr/local/zookeeper/data
dataLogDir=/usr/local/zookeeper/logs
clientPort=2181

5）启动zookeeper

# bin/zkServer.sh start
ZooKeeper JMX enabled by default
Using config: /usr/local/zookeeper/bin/../conf/zoo.cfg
Starting zookeeper ... STARTED

6）验证zukeeper服务

# telnet chavin.king 2181
Trying 192.168.72.130...
Connected to chavin.king.
Escape character is ‘^]‘.
stat
Zookeeper version: 3.4.11-37e277162d567b55a07d1755f0b31c32e93c01a0, built on 11/01/2017 18:06 GMT
Clients:
  /192.168.72.130:44054[0](queued=0,recved=1,sent=0)

Latency min/avg/max: 0/0/0
Received: 1
Sent: 0
Connections: 1
Outstanding: 0
Zxid: 0x1a4
Mode: standalone
Node count: 147
Connection closed by foreign host.

4、安装zkui

git clone https://github.com/DeemOpen/zkui.git
cd zkui
mvn clean install

修改配置文件默认值
#vim config.cfg
     serverPort=9090     #指定端口
     zkServer=192.168.1.110:2181
     sessionTimeout=300000

启动程序至后台
2.0-SNAPSHOT 会随软件的更新版本不同而不同，执行时请查看target 目录中真正生成的版本

nohup java -jar target/zkui-2.0-SNAPSHOT-jar-with-dependencies.jar &

用浏览器访问：
http://chavin.king:9090/

5、安装kafka

wget http://archive.apache.org/dist/kafka/1.1.0/kafka_2.11-1.1.0.tgz
tar -zxvf kafka_2.11-1.1.0.tgz -C /usr/local/kafka

mkdir -p /usr/local/kafka/data-logs

修改配置文件 

vim server.properties

log.dirs=/usr/local/kafka/data-logs
zookeeper.connect=chavin.king:2181

启动kafka

bin/kafka-server-start.sh -daemon config/server.properties &

创建topic

bin/kafka-topics.sh --create --zookeeper chavin.king:2181 --replication-factor 1 --partitions 1 --topic maxwell

查看所有topic

bin/kafka-topics.sh --list --zookeeper chavin.king:2181

启动producer

bin/kafka-console-producer.sh --broker-list chavin.king:9092 --topic maxwell

启动consumer

bin/kafka-console-consumer.sh --zookeeper chavin.king:2181 --topic maxwell --from-beginning

或者

bin/kafka-console-consumer.sh --bootstrap-server chavin.king:9092  --from-beginning --topic maxwell

6、开启mysql binlog

more /etc/my.cnf
[client]
default_character_set = utf8

[mysqld]
basedir = /usr/local/mysql-5.6.24
datadir = /usr/local/mysql-5.6.24/data
port = 3306
#skip-grant-tables
character_set_server = utf8
log_error = /usr/local/mysql-5.6.24/data/mysql.err

binlog_format = row
log-bin = /usr/local/mysql-5.6.24/logs/mysql-bin
sync_binlog = 2
max_binlog_size = 16M
expire_logs_days = 10

server_id = 1
sql_mode=NO_ENGINE_SUBSTITUTION,STRICT_TRANS_TABLES

7、安装maxwell

wget https://github.com/zendesk/maxwell/releases/download/v1.16.0/maxwell-1.16.0.tar.gz
tar -zxvf maxwell-1.16.0.tar.gz -C /usr/local/maxwell

启动maxwell

nohup bin/maxwell --user=‘canal‘ --password=‘canal‘ --host=‘chavin.king‘ --producer=kafka --kafka.bootstrap.servers=chavin.king:9092 > maxwell.log &

8、开发kafka消费程序

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;

public class KafkaTest {

    public static void main(String[] args){

        String topicName = "maxwell";
         String groupID = "example-group";

        Properties props = new Properties();
         props.put("bootstrap.servers","192.168.72.130:9092");
         props.put("group.id",groupID);
         props.put("auto.offset.reset","earliest");
         props.put("serializer.encoding","utf-8");
         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<String, String>(props);
        
         consumer.subscribe(Arrays.asList(topicName));

        try{
             while(true){
                 ConsumerRecords<String,String> records = consumer.poll(1000);
             for (ConsumerRecord<String, String> record : records)
                 System.out.printf("offset = %d, key = %s, value = %s ",
                         record.offset(), record.key(), record.value());
             }
         }finally{
             consumer.close();
         }
     }
}

ideal启动以上消费程序

9、测试

offset = 3428, key = {"database":"chavin","table":"dept","_uuid":"0b195622-e7c7-4cf6-8203-5576752f9024"}, value = {"database":"chavin","table":"dept","type":"insert","ts":1499944326,"xid":121,"xoffset":2276,"data":{"deptno":10,"dname":"ACCOUNTING","loc":"NEW YORK"}}
offset = 3429, key = {"database":"chavin","table":"dept","_uuid":"333b98e3-a597-47fc-95ad-6e59ee0dadf6"}, value = {"database":"chavin","table":"dept","type":"insert","ts":1499944326,"xid":121,"xoffset":2277,"data":{"deptno":20,"dname":"RESEARCH","loc":"DALLAS"}}
offset = 3430, key = {"database":"chavin","table":"dept","_uuid":"cf9fa656-ed13-4cb0-b909-d1218e402e96"}, value = {"database":"chavin","table":"dept","type":"insert","ts":1499944326,"xid":121,"xoffset":2278,"data":{"deptno":30,"dname":"SALES","loc":"CHICAGO"}}
offset = 3431, key = {"database":"chavin","table":"dept","_uuid":"7f2f683a-39bc-498b-9a4e-920697b3da18"}, value = {"database":"chavin","table":"dept","type":"insert","ts":1499944326,"xid":121,"xoffset":2279,"data":{"deptno":40,"dname":"OPERATIONS","loc":"BOSTON"}}
offset = 3432, key = {"database":"chavin","table":"dept","_uuid":"ef639cd1-9206-4145-8608-372bbaaaa14a"}, value = {"database":"chavin","table":"dept","type":"insert","ts":1499944326,"xid":121,"xoffset":2280,"data":{"deptno":10,"dname":"ACCOUNTING","loc":"NEW YORK"}}
offset = 3433, key = {"database":"chavin","table":"dept","_uuid":"ebdf15ad-7149-4ac4-b567-627dd910182c"}, value = {"database":"chavin","table":"dept","type":"insert","ts":1499944326,"xid":121,"xoffset":2281,"data":{"deptno":20,"dname":"RESEARCH","loc":"DALLAS"}}
offset = 3434, key = {"database":"chavin","table":"dept","_uuid":"1bc667f4-15f0-438c-8139-6f1cbe8b4db3"}, value = {"database":"chavin","table":"dept","type":"insert","ts":1499944326,"xid":121,"xoffset":2282,"data":{"deptno":30,"dname":"SALES","loc":"CHICAGO"}}
offset = 3435, key = {"database":"chavin","table":"dept","_uuid":"1613b695-284a-49e3-9793-74fb2cf8dc5b"}, value = {"database":"chavin","table":"dept","type":"insert","ts":1499944326,"xid":121,"xoffset":2283,"data":{"deptno":40,"dname":"OPERATIONS","loc":"BOSTON"}}
offset = 3436, key = {"database":"chavin","table":"dept","_uuid":"f72a800c-92cc-4494-9438-bc61c58b5cb9"}, value = {"database":"chavin","table":"dept","type":"insert","ts":1499944326,"xid":121,"xoffset":2284,"data":{"deptno":10,"dname":"ACCOUNTING","loc":"NEW YORK"}}
offset = 3437, key = {"database":"chavin","table":"dept","_uuid":"9887d144-d75d-46f8-96ba-ad7c3adf45fd"}, value = {"database":"chavin","table":"dept","type":"insert","ts":1499944326,"xid":121,"xoffset":2285,"data":{"deptno":20,"dname":"RESEARCH","loc":"DALLAS"}}

至此数据同步已经可以正常进行了，是不是很简单。

使用maxwell实时同步mysql数据到kafka

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