Fink CDC数据同步（四）Mysql数据同步到Kafka_flink cdc mysql to kafka

依赖项

将下列依赖包放在flink/lib

flink-sql-connector-kafka-1.16.2

创建映射表

创建MySQL映射表

CREATE TABLE if not exists mysql_user (
     id     int,
     name   STRING,
     birth  STRING,
     gender    STRING,
     PRIMARY KEY (`id`) NOT ENFORCED
) WITH (
    'connector'= 'mysql-cdc',
    'hostname'= '192.168.0.1',
    'port'= '3306',
    'username'= 'user',
    'password'='password',
    'server-time-zone'= 'Asia/Shanghai',
    'debezium.snapshot.mode'='initial',
    'database-name'= 'bigdata',
    'table-name'= 'user'
); 
 
select * from mysql_user;

创建upsert-kafka 表

CREATE TABLE kafka_user_upsert(
     id     int,
     name   string,
     birth  string,
     gender    string,
PRIMARY KEY (`id`) NOT ENFORCED
) WITH (
 'connector' = 'upsert-kafka',
 'topic' = 'flink-cdc-user',
 'properties.bootstrap.servers' = '192.168.0.4:6668',
 'properties.group.id' = 'flink-cdc-kafka-group',
 'key.format' = 'json',
 'value.format' = 'json'
);

这里指定的Kafka topic会自动创建，也可以预先自行创建

生成作业

insert into kafka_user_upsert select * from mysql_user;
 
select * from kafka_user_upsert;

 系列文章

Fink CDC数据同步（一）环境部署https://blog.csdn.net/weixin_44586883/article/details/136017355?spm=1001.2014.3001.5502
Fink CDC数据同步（二）MySQL数据同步https://blog.csdn.net/weixin_44586883/article/details/136017472?spm=1001.2014.3001.5501
Fink CDC数据同步（三）Flink集成Hivehttps://blog.csdn.net/weixin_44586883/article/details/136017571?spm=1001.2014.3001.5501
Fink CDC数据同步（四）Mysql数据同步到Kafkahttps://blog.csdn.net/weixin_44586883/article/details/136023747?spm=1001.2014.3001.5501
Fink CDC数据同步（五）Kafka数据同步Hivehttps://blog.csdn.net/weixin_44586883/article/details/136023837?spm=1001.2014.3001.5501

Fink CDC数据同步（六）数据入湖Hudihttps://blog.csdn.net/weixin_44586883/article/details/136023939?spm=1001.2014.3001.5502