River Flows In You
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环境及版本

  • linux： ubuntu 18.0.4 lsb

  • Jdk: 1.8

  • Mysql: 5.7

  • Zookeeper: apache-zookeeper-3.5.8

  • Kafka: kafka_2.12-2.5.0

  • Kafka 依赖zookeeper 服务,zookeeper依赖jdk

##　一 Kafka基础环境

  1. 下载安装

    先配置启动zookeeper

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    > wget https://mirror.bit.edu.cn/apache/zookeeper/zookeeper-3.5.8/apache-zookeeper-3.5.8-bin.tar.gz
    > tar -zxf apache-zookeeper-3.5.8-bin.tar.gz
    > cd apache-zookeeper-3.5.8-bin
    > cp conf/zoo_sample.cfg conf/zoo.cfg
    > bin/zkServer.sh start conf/zoo.cfg

    配置启动kafka

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    > wget https://mirror.bit.edu.cn/apache/kafka/2.5.0/kafka_2.12-2.5.0.tgz
    > tar -xzf kafka_2.12-2.5.0.tgz
    > cd kafka_2.12-2.5.0
    > bin/kafka-server-start.sh config/server.properties

    创建查看主题

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    > bin/kafka-topics.sh --create --bootstrap-server localhost:9092 --replication-factor 1 --partitions 1 --topic test
    > bin/kafka-topics.sh --list --bootstrap-server localhost:9092

二 Kafka Connect

  1. 下载依赖包

    下载mysql-connector-java和kafka-connect-jdbc，复制到kafka/libs 路径下

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    wget https://packages.confluent.io/maven/io/confluent/kafka-connect-jdbc/5.1.0/kafka-connect-jdbc-5.1.0.jar
    // mysql-connector-java 需要和数据库版本匹配(5.x或 8.x) 
    wget https://repo1.maven.org/maven2/mysql/mysql-connector-java/8.0.13/mysql-connector-java-8.0.13.jar
    wget https://repo1.maven.org/maven2/mysql/mysql-connector-java/5.1.46/mysql-connector-java-5.1.46.jar

  2. 准备数据库

    • 创建 test1 数据库源表t_user_old

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      create table t_user_old(
      uid int(10) primary key auto_increment,
      username varchar(20),
      password varchar(20)
      ) comment '旧用户表';

    • 创建 test2 数据库目标表t_user_new

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      create table t_user_new(
      uid int(10) primary key auto_increment,
      username varchar(20),
      password varchar(20)
      ) comment '新用户表';

  3. 编写配置文件

    • 进入kafka/conf,新建如下两个配置文件：

    • quickstart-mysql.properties（source）

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      name=mysql-a-source-user
      connector.class=io.confluent.connect.jdbc.JdbcSourceConnector
      tasks.max=1
      connection.url=jdbc:mysql://localhost:3306/test1?user=root&password=root
      # incrementing  自增
      mode=incrementing
      # 自增字段 uid
      incrementing.column.name=uid
      # 白名单表 t_user_old
      table.whitelist=t_user_old
      # topic前缀 mysql-kafka-
      topic.prefix=mysql-kafka-

    • quickstart-mysql-sink.properties（sink）

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      name=mysql-a-sink-user
      connector.class=io.confluent.connect.jdbc.JdbcSinkConnector
      tasks.max=1
      #kafka的topic名称
      topics=mysql-kafka-t_user_old
      # 配置JDBC链接
      connection.url=jdbc:mysql://localhost:3306/test2?user=root&password=root&useSSL=false
      # 不自动创建表，如果为true，会自动创建表，表名为topic名称
      auto.create=false
      # upsert model更新和插入
      insert.mode=upsert
      # 下面两个参数配置了以uid为主键更新
      pk.mode = record_value
      pk.fields = uid
      #表名为 t_user_new
      table.name.format=t_user_new

  4. 启动kafka connect

    • 创建topic主题

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      bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic mysql-kafka-person

    • 启动 Kafka Connect

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      ./bin/connect-standalone.sh config/connect-standalone.properties config/quickstart-mysql.properties config/quickstart-mysql-sink.properties

  5. 同步数据

    往a表插入一条数据，b表也会同步更新

参考：

https://www.jianshu.com/p/46b6fa53cae4

https://docs.confluent.io/kafka-connect-jdbc/current/source-connector/source_config_options.html