Flink CDC-Oracle CDC配置及DataStream API实现代码...可实现监控采集一个数据库的多个表

import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;
import com.ververica.cdc.connectors.oracle.OracleSource;
import com.ververica.cdc.debezium.StringDebeziumDeserializationSchema;
 
public class OracleCdcExample {
    public static void main(String[] args) throws Exception {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        StreamTableEnvironment tableEnv = StreamTableEnvironment.create(env);
 
        Properties properties = new Properties();
        properties.setProperty("connector", "oracle-cdc");
        properties.setProperty("hostname", "your-oracle-host");
        properties.setProperty("port", "1521");
        properties.setProperty("username", "your-username");
        properties.setProperty("password", "your-password");
        properties.setProperty("database-name", "your-database-name");
        properties.setProperty("schema-name", "your-schema-name");
        properties.setProperty("table-name", "your-table-name");
 
        // 创建 Oracle CDC source
        OracleSource<String> source = new OracleSource<>(
            tableEnv,
            properties,
            new StringDebeziumDeserializationSchema(),
            (rowData, rowKind) -> {
                // 处理rowData，这里可以是解析后的数据或者直接处理rowData
            }
        );
 
        // 将source加入到flink作业中
        env.addSource(source).print();
 
        env.execute("Oracle CDC Job");
    }
}

这段代码展示了如何使用Flink CDC连接器来从Oracle数据库中实时读取变更数据并打印输出。需要注意的是，这里的代码仅展示了核心逻辑，并且需要替换相应的数据库连接信息和处理逻辑以适应实际的应用场景。