flink oracle cdc实时同步（超详细）

在Flink中实现Oracle数据库的CDC（Change Data Capture）实时同步，可以使用Flink SQL的CDC连接器。以下是一个使用Flink Oracle CDC实现实时同步的示例代码：

import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;
import org.apache.flink.table.api.TableResult;
 
public class FlinkOracleCdcExample {
    public static void main(String[] args) throws Exception {
        // 创建流执行环境
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(1);
 
        // 创建表环境
        StreamTableEnvironment tableEnv = StreamTableEnvironment.create(env);
 
        // 配置Oracle CDC源连接参数
        String sourceDDL = "" +
                "CREATE TABLE source_table (" +
                "   id INT," +
                "   name STRING," +
                "   price DECIMAL(32, 2)" +
                ") WITH (" +
                "   'connector' = 'oracle-cdc'," +
                "   'hostname' = 'your_oracle_host'," +
                "   'port' = '1521'," +
                "   'username' = 'your_username'," +
                "   'password' = 'your_password'," +
                "   'database-name' = 'your_database_name'," +
                "   'table-name' = 'your_table_name'" +
                ")";
 
        // 注册源表
        tableEnv.executeSql(sourceDDL);
 
        // 定义接收数据的sink表（实际使用中需要根据实际情况定义）
        String sinkDDL = "" +
                "CREATE TABLE sink_table (" +
                "   id INT," +
                "   name STRING," +
                "   price DECIMAL(32, 2)" +
                ") WITH (" +
                "   'connector' = 'print'" + // 使用print连接器进行输出展示
                ")";
 
        // 注册sink表
        tableEnv.executeSql(sinkDDL);
 
        // 执行实时同步
        String cdcQuery = "INSERT INTO sink_table SELECT * FROM source_table";
        TableResult tableResult = tableEnv.executeSql(cdcQuery);
 
        // 执行查询，开始监听Oracle数据库的变更