使用finksql方式将mysql数据同步到kafka中，每次只能同步一张表

使用finksql方式将Mysql数据同步到kafka中，每次只能同步一张表

package flink;import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;import org.apache.flink.table.api.TableResult;import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;public class FlinkSQL_CDC {    public static void main(String[] args) throws Exception {////        Configuration conf = new Configuration();//        conf.setInteger("rest.port",3335);//        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(conf);        //1.创建执行环境        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();        env.setParallelism(1);        StreamTableEnvironment tableEnv = StreamTableEnvironment.create(env);        //2.创建Flink-mysql-CDC的Source        TableResult tableResult = tableEnv.executeSql("CREATE TABLE table_name (" +                "  id INT primary key," +                "  name STRING" +                ") WITH (" +                "  'connector' = 'mysql-cdc'," +                "  'hostname' = 'hadoop102'," +                "  'port' = '3306'," +                "  'username' = 'root'," +                "  'passWord' = 'xxxx'," +                "  'database-name' = 'student'," +                "  'table-name' = 'table_name'," +                "'server-time-zone' = 'Asia/Shanghai'," +                "'scan.startup.mode' = 'initial'" +                ")"        );        // 2. 注册SinkTable: sink_sensor//        tableEnv.executeSql("" +//                "CREATE TABLE kafka_binlog ( " +//                "  user_id INT, " +//                "  user_name STRING, " +//                "`proc_time` as PROCTIME()" +//                ") WITH ( " +//                "  'connector' = 'kafka', " +//                "  'topic' = 'test2', " +//                "  'properties.bootstrap.servers' = 'hadoop102:9092', " +//                "  'fORMat' = 'JSON' " +//                ")" +//                "");        //upsert-kafka        tableEnv.executeSql("" +                "CREATE TABLE kafka_binlog ( " +                "  user_id INT, " +                "  user_name STRING, " +                "`proc_time` as PROCTIME()," +                "  PRIMARY KEY (user_id) NOT ENFORCED" +                ") WITH ( " +                "  'connector' = 'upsert-kafka', " +                "  'topic' = 'test2', " +                "  'properties.bootstrap.servers' = 'hadoop102:9092', " +                "  'key.format' = 'json' ," +                "  'value.format' = 'json' " +                ")" +                "");        // 3. 从SourceTable 查询数据, 并写入到 SinkTable         tableEnv.executeSql("insert into kafka_binlog select * from table_name");         tableEnv.executeSql("select * from kafka_binlog").print();        env.execute();    }}

来源地址：https://blog.csdn.net/m0_37759590/article/details/132558090