Flink实现准实时同步Oracle数据

1. 环境准备

安装JDK8或以上版本

下载Flink安装包并解压

配置Oracle数据库

2. 创建Flink项目

使用IDEA创建一个Maven项目，添加以下依赖：

<dependencies>
    <dependency>
        <groupId>org.apache.flink</groupId>
        <artifactId>flinkjava</artifactId>
        <version>${flink.version}</version>
    </dependency>
    <dependency>
        <groupId>org.apache.flink</groupId>
        <artifactId>flinkstreamingjava_${scala.binary.version}</artifactId>
        <version>${flink.version}</version>
    </dependency>
    <dependency>
        <groupId>org.apache.flink</groupId>
        <artifactId>flinkconnectorjdbc_${scala.binary.version}</artifactId>
        <version>${flink.version}</version>
    </dependency>
</dependencies>

3. 编写Flink程序

3.1 定义源表结构

public class SourceTable {
    private int id;
    private String name;
    private int age;
    // getter和setter方法
}

3.2 定义目标表结构

public class SinkTable {
    private int id;
    private String name;
    private int age;
    // getter和setter方法
}

3.3 创建主程序

import org.apache.flink.api.common.typeinfo.TypeInformation;
import org.apache.flink.api.java.DataSet;
import org.apache.flink.api.java.ExecutionEnvironment;
import org.apache.flink.api.java.io.jdbc.JDBCInputFormat;
import org.apache.flink.api.java.io.jdbc.JDBCOutputFormat;
import org.apache.flink.types.Row;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;
import org.apache.flink.table.api.bridge.java.internal.StreamTableEnvironmentImpl;
public class FlinkSyncOracle {
    public static void main(String[] args) throws Exception {
        // 创建流处理环境
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        StreamTableEnvironment tableEnv = StreamTableEnvironmentImpl.create(env);
        // 定义源表结构
        tableEnv.executeSql("CREATE TABLE source_table (id INT, name STRING, age INT) WITH (...)");
        // 定义目标表结构
        tableEnv.executeSql("CREATE TABLE sink_table (id INT, name STRING, age INT) WITH (...)");
        // 注册源表和目标表的结构
        tableEnv.registerTable("SourceTable", source_table);
        tableEnv.registerTable("SinkTable", sink_table);
        // 读取源表数据
        DataStream<SourceTable> sourceDataStream = tableEnv.toRetractStream(tableEnv.sqlQuery("SELECT * FROM SourceTable"), SourceTable.class);
        // 写入目标表数据
        sourceDataStream.writeUsingOutputFormat(new JDBCOutputFormat<>(...));
        // 执行任务
        env.execute("Flink Sync Oracle");
    }
}

4. 运行程序

运行Flink程序，观察Oracle数据库中的数据是否能够准实时同步。