首页 > 数据库> 文章详细

Flink之Mysql数据CDC

2021-01-11 19:04:17 阅读：2058 来源： 互联网

标签：binlog Flink Struct CDC Mysql source mysql test id

知识点：

https://github.com/ververica/flink-cdc-connectors  //官网地址

1、处理类

import org.apache.flink.configuration.Configuration;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.source.SourceFunction;
import com.alibaba.ververica.cdc.debezium.StringDebeziumDeserializationSchema;
import com.alibaba.ververica.cdc.connectors.mysql.MySQLSource;
/**
 * @program: Flink1.11
 * @description:
 * @author: yang
 * @create: 2021-01-11 17:41
 */
public class MySqlBinlogSourceExample {
    public static void main(String[] args) throws Exception {
        SourceFunction<String> sourceFunction = MySQLSource.<String>builder()
                .hostname("localhost")
                .port(3306)
                .databaseList("test")
                // monitor all tables under inventory database
                .username("root")
                .password("root")
                .deserializer(new StringDebeziumDeserializationSchema())
                // converts SourceRecord to String
                .build();

        StreamExecutionEnvironment env = StreamExecutionEnvironment.createLocalEnvironmentWithWebUI(new Configuration());

        env.addSource(sourceFunction).print().setParallelism(1);
        // use parallelism 1 for sink to keep message ordering
        env.execute("test");
    }
}

2、binlog结果

修改:befor and after 
SourceRecord{
    sourcePartition={server=mysql-binlog-source}, 
    sourceOffset={ts_sec=1610362335, file=mysql-bin.000004, pos=233445691, row=1, server_id=1, event=2}
} 
ConnectRecord
{topic='mysql-binlog-source.test.weblog', kafkaPartition=null, key=Struct{id=5}, keySchema=Schema{mysql_binlog_source.test.weblog.Key:STRUCT}, value=Struct{before=Struct{id=5,url=5,method=5,ip=5,args=5,create_time=1610390670000},after=Struct{id=5,url=5555,method=5555,ip=5555,args=5555,create_time=1610390670000},source=Struct{version=1.2.0.Final,connector=mysql,name=mysql-binlog-source,ts_ms=1610362335000,db=test,table=weblog,server_id=1,file=mysql-bin.000004,pos=233445826,row=0,thread=944986},op=u,ts_ms=1610362335615}, valueSchema=Schema{mysql_binlog_source.test.weblog.Envelope:STRUCT}, timestamp=null, headers=ConnectHeaders(headers=)
}


增加:只有after
SourceRecord{sourcePartition={server=mysql-binlog-source}, sourceOffset={file=mysql-bin.000004, pos=233455303}} 
ConnectRecord
{topic='mysql-binlog-source.test.weblog', kafkaPartition=null, key=Struct{id=7}, keySchema=Schema{mysql_binlog_source.test.weblog.Key:STRUCT}, value=Struct{after=Struct{id=7,url=7,method=7,ip=7,args=7,create_time=1610391478000},source=Struct{version=1.2.0.Final,connector=mysql,name=mysql-binlog-source,ts_ms=0,snapshot=last,db=test,table=weblog,server_id=0,file=mysql-bin.000004,pos=233455303,row=0},op=c,ts_ms=1610362692061}, valueSchema=Schema{mysql_binlog_source.test.weblog.Envelope:STRUCT}, timestamp=null, headers=ConnectHeaders(headers=)}


删除:只有before
SourceRecord{sourcePartition={server=mysql-binlog-source}, sourceOffset={ts_sec=1610362743, file=mysql-bin.000004, pos=233456891, row=1, server_id=1, event=2}} ConnectRecord{topic='mysql-binlog-source.test.weblog', kafkaPartition=null, key=Struct{id=1}, keySchema=Schema{mysql_binlog_source.test.weblog.Key:STRUCT}, value=Struct{before=Struct{id=1,url=1,method=1,ip=1,args=1,create_time=1603115590000},source=Struct{version=1.2.0.Final,connector=mysql,name=mysql-binlog-source,ts_ms=1610362743000,db=test,table=weblog,server_id=1,file=mysql-bin.000004,pos=233457026,row=0,thread=944986},op=d,ts_ms=1610362744527}, valueSchema=Schema{mysql_binlog_source.test.weblog.Envelope:STRUCT}, timestamp=null, headers=ConnectHeaders(headers=)}

3、如果需要将数据进行etl，可以自定义实现sink

标签：binlog,Flink,Struct,CDC,Mysql,source,mysql,test,id
来源： https://www.cnblogs.com/ywjfx/p/14263718.html

本站声明： 1. iCode9 技术分享网（下文简称本站）提供的所有内容，仅供技术学习、探讨和分享；
2. 关于本站的所有留言、评论、转载及引用，纯属内容发起人的个人观点，与本站观点和立场无关；
3. 关于本站的所有言论和文字，纯属内容发起人的个人观点，与本站观点和立场无关；
4. 本站文章均是网友提供，不完全保证技术分享内容的完整性、准确性、时效性、风险性和版权归属；如您发现该文章侵犯了您的权益，可联系我们第一时间进行删除；
5. 本站为非盈利性的个人网站，所有内容不会用来进行牟利，也不会利用任何形式的广告来间接获益，纯粹是为了广大技术爱好者提供技术内容和技术思想的分享性交流网站。

ICode9

Flink之Mysql数据CDC