pom文件
<properties>
<flink.version>1.13.6</flink.version>
<scala.binary.version>2.12</scala.binary.version>
</properties>
<dependencies>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-jdbc_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-table-planner-blink_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-java</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-streaming-java_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-clients_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-runtime-web_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>com.alibaba.ververica</groupId>
<artifactId>flink-connector-mysql-cdc</artifactId>
<version>1.4.0</version>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<version>1.18.20</version>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
<version>1.2.75</version>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-shade-plugin</artifactId>
<version>3.1.0</version>
<configuration>
<createDependencyReducedPom>false</createDependencyReducedPom>
</configuration>
<executions>
<execution>
<phase>package</phase>
<goals>
<goal>shade</goal>
</goals>
<configuration>
<transformers>
<transformer
implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
<!--如果要打包的话,这里要换成对应的 main class-->
<mainClass>demo.flinkcdc_binlog.MysqlBinlogCdcToMysql</mainClass>
</transformer>
<transformer
implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer">
<resource>reference.conf</resource>
</transformer>
</transformers>
<filters>
<filter>
<artifact>*:*:*:*</artifact>
<excludes>
<exclude>META-INF/*.SF</exclude>
<exclude>META-INF/*.DSA</exclude>
<exclude>META-INF/*.RSA</exclude>
</excludes>
</filter>
</filters>
</configuration>
</execution>
</executions>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<configuration>
<source>6</source>
<target>6</target>
</configuration>
</plugin>
</plugins>
</build>
代码
package flinksql;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;
public class flinksql_cdc {
public static void main(String[] args) throws Exception {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
StreamTableEnvironment tableEnv = StreamTableEnvironment.create(env);
tableEnv.executeSql("create table demo1(" +
" id INT," +
" username STRING," +
" password STRING," +
" primary key (id) not enforced" +
")WITH(" +
" 'connector' = 'mysql-cdc'," +
" 'hostname' = 'localhost'," +
" 'port' = '3306'," +
" 'username' = 'root'," +
" 'password' = '123456'," +
" 'database-name' = 'old_data'," +
" 'table-name' = 'demo'" +
")");
tableEnv.executeSql("create table demo2(" +
" id INT," +
" username STRING," +
" password STRING," +
" primary key (id) not enforced" +
")WITH(" +
" 'connector' = 'jdbc'," +
" 'url' = 'jdbc:mysql://localhost:3306/new_data?serverTimezone=UTC'," +
" 'username' = 'root'," +
" 'password' = '123456'," +
" 'table-name' = 'demo_info'," +
" 'driver' = 'com.mysql.cj.jdbc.Driver'," +
" 'scan.fetch-size' = '200'" +
")");
tableEnv.executeSql("insert into demo2 select id,username,password from demo1");
tableEnv.executeSql("select * from demo1").print();
env.execute("FLinkSql Cdc");
}
}
上面是增删改的效果图,可以根据 “op” 查看具体操作
I是插入,U是更新,D是删除
-U是撤回前的数据,+U是更新后的数据
可以结合数据库中的数据判断是否同步成功
注意:flinksql和mysql的表都需要设置主键