Flink CDC里flink1.17写doris的代码怎么做？

在Flink CDC中，将数据从Flink 1.17写入Doris，需要遵循以下步骤：

1、添加依赖

在项目的pom.xml文件中添加Flink CDC和Doris的依赖：

<dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flinkconnectordoris_2.11</artifactId>
    <version>1.13.2</version>
</dependency>
<dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flinkconnectormysqlcdc</artifactId>
    <version>2.1.0</version>
</dependency>

2、创建Flink CDC Source

创建一个Flink CDC Source，用于从MySQL数据库中读取数据变更事件：

import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.source.SourceFunction;
import com.ververica.cdc.connectors.mysql.MySqlSource;
import com.ververica.cdc.debezium.StringDebeziumDeserializationSchema;
public class FlinkCDCSourceExample {
    public static void main(String[] args) throws Exception {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        SourceFunction<String> sourceFunction = MySqlSource.<String>builder()
                .hostname("localhost")
                .port(3306)
                .databaseList("mydb") // 监听的数据库名
                .tableList("mydb.mytable") // 监听的表名
                .username("root")
                .password("password")
                .deserializer(new StringDebeziumDeserializationSchema()) // 反序列化方式
                .build();
        env.addSource(sourceFunction).print();
        env.execute("Flink CDC Example");
    }
}

3、创建Doris Sink

创建一个Doris Sink，用于将数据写入Doris数据库：

import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.connectors.doris.DorisSink;
import org.apache.flink.streaming.connectors.doris.DorisStreamLoadOptions;
import org.apache.flink.types.Row;
public class DorisSinkExample {
    public static void main(String[] args) throws Exception {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        // 假设从Flink CDC Source获取的数据流为dataStream
        DataStream<Row> dataStream = ...;
        DorisSink<Row> dorisSink = DorisSink.builder()
                .setDorisTable("mydb.mytable") // Doris表名
                .setUsername("root")
                .setPassword("password")
                .setFenodes("localhost:8030") // Doris FE节点地址
                .setLoadProps(DorisStreamLoadOptions.DEFAULT_LOAD_PROPS) // 加载属性
                .build();
        dataStream.addSink(dorisSink);
        env.execute("Doris Sink Example");
    }
}

4、整合Flink CDC Source和Doris Sink

将Flink CDC Source和Doris Sink整合到一起，实现从MySQL数据库到Doris数据库的数据同步：

import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.connectors.doris.DorisSink;
import org.apache.flink.streaming.connectors.doris.DorisStreamLoadOptions;
import org.apache.flink.types.Row;
import com.ververica.cdc.connectors.mysql.MySqlSource;
import com.ververica.cdc.debezium.StringDebeziumDeserializationSchema;
import org.apache.flink.api.common.typeinfo.TypeInformation;
import org.apache.flink.api.common.typeinfo.Types;
import org.apache.flink.api.java.typeutils.RowTypeInfo;
public class FlinkCDCToDorisExample {
    public static void main(String[] args) throws Exception {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        SourceFunction<String> sourceFunction = MySqlSource.<String>builder()
                .hostname("localhost")
                .port(3306)
                .databaseList("mydb") // 监听的数据库名
                .tableList("mydb.mytable") // 监听的表名
                .username("root")
                .password("password")
                .deserializer(new StringDebeziumDeserializationSchema()) // 反序列化方式
                .build();
        DataStream<String> dataStream = env.addSource(sourceFunction);
        // 将数据流转换为Row类型，以便写入Doris
        DataStream<Row> rowDataStream = dataStream.map(json > {
            JsonObject jsonObject = new JsonParser().parse(json).getAsJsonObject();
            String before = jsonObject.get("before").getAsString();
            String after = jsonObject.get("after").getAsString();
            return Row.of(before, after);
        }).returns(new RowTypeInfo(Types.STRING, Types.STRING));
        DorisSink<Row> dorisSink = DorisSink.builder()
                .setDorisTable("mydb.mytable") // Doris表名
                .setUsername("root")
                .setPassword("password")
                .setFenodes("localhost:8030") // Doris FE节点地址
                .setLoadProps(DorisStreamLoadOptions.DEFAULT_LOAD_PROPS) // 加载属性
                .build();
        rowDataStream.addSink(dorisSink);
        env.execute("Flink CDC to Doris Example");
    }
}

这样，就完成了使用Flink CDC将数据从MySQL数据库同步到Doris数据库的过程。