flink cdc通过Java程序获取oracle备库的程序，以及所需要的依赖

您可以通过以下步骤获取Oracle备库的数据，并使用Flink CDC进行消费：

1. 首先，您需要在Java项目中添加以下依赖：

<dependency>
  <groupId>org.apache.flink</groupId>
  <artifactId>flink-connector-jdbc_2.11</artifactId>
  <version>1.11.0</version>
</dependency>
<dependency>
  <groupId>com.oracle.database.jdbc</groupId>
  <artifactId>ojdbc8</artifactId>
  <version>19.3.0.0</version>
</dependency>

2. 然后，您需要使用以下代码创建Flink CDC的JDBC连接：

import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;

import java.util.Properties;

public class OracleCDCExample {
    public static void main(String[] args) {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        StreamTableEnvironment tEnv = StreamTableEnvironment.create(env);
        Properties properties = new Properties();
        properties.setProperty("url", "jdbc:oracle:thin:@//<HOST>:<PORT>/<SERVICE_NAME>");
        properties.setProperty("username", "<USERNAME>");
        properties.setProperty("password", "<PASSWORD>");
        properties.setProperty("scan.incremental.snapshot.parallelism", "1");
        tEnv.executeSql("CREATE TABLE oracle_cdc_table (\n" +
                " id INT,\n" +
                " name STRING,\n" +
                " age INT\n" +
                ") WITH (\n" +
                " 'connector' = 'jdbc-cdc',\n" +
                " 'driver' = 'oracle.jdbc.driver.OracleDriver',\n" +
                " 'username' = '" + properties.getProperty("username") + "',\n" +
                " 'password' = '" + properties.getProperty("password") + "',\n" +
                " 'url' = '" + properties.getProperty("url") + "',\n" +
                " 'table-name' = '<TABLE_NAME>',\n" +
                " 'poll-interval' = '1s'\n" +
                ")");
    }
}

3. 修改上述代码中的`<HOST>`、`<PORT>`、`<SERVICE_NAME>`、`<USERNAME>`、`<PASSWORD>` 和 `<TABLE_NAME>` 为您的Oracle备库主机名、端口、服务名、用户名、密码和要读取的表名。

4. 运行此代码，您将能够获取Oracle备库的数据。

注意：在使用JDBC连接器的过程中，您需要设置`scan.incremental.snapshot.parallelism`的值为1。