flink写入DataHub(DatahubSinkFunction的使用方法）

import com.alibaba.ververica.connectors.datahub.sink.DatahubSinkFunction;
import com.aliyun.datahub.client.model.*;
import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;


public class DemoTest {
    public static void main(String[] args) throws Exception {
        //创建Flink流处理执行环境
        StreamExecutionEnvironment environment = StreamExecutionEnvironment.getExecutionEnvironment();
        //设置并行度
        environment.setParallelism(1);
        //调用Flink自定义Source
        DataStreamSource source = environment.addSource(new DataSource());
        //打印数据
        source.print();
        //DataHub连接配置。
        DatahubSinkFunction sinkFunction = new DatahubSinkFunction<>(
                 "***************************************",//EndPoint
                "*************",//DataHub项目名称
                "*************",//主题topic的名称
                "**********",//accessID
                "************"//accessKey
                );
        //序列化信息
        DataStream operator = source.map(new MapFunction() {
            @Override
            public RecordEntry map(Sick sick) throws Exception {
                RecordEntry entry = getRecordEntry(sick);
                return entry;
            }
        });
        operator.addSink(sinkFunction);
        //启动程序
        environment.execute();
    }
    //序列化方法
    public static RecordEntry getRecordEntry(Sick sick) {
        //注册Schema信息
        RecordSchema recordSchema = new RecordSchema();
        recordSchema.addField(new Field("name", FieldType.STRING));
        recordSchema.addField(new Field("sex", FieldType.STRING));
        recordSchema.addField(new Field("age", FieldType.BIGINT));
        recordSchema.addField(new Field("area", FieldType.BIGINT));
        recordSchema.addField(new Field("disease_status", FieldType.BIGINT));
        recordSchema.addField(new Field("date", FieldType.STRING));
        RecordEntry recordEntry = new RecordEntry();
        TupleRecordData recordData = new TupleRecordData(recordSchema);
        //将数据流里面的对象根据下标赋值
        recordData.setField(0, sick.getName());
        recordData.setField(1, sick.getSex());
        recordData.setField(2, sick.getAge());
        recordData.setField(3, sick.getArea());
        recordData.setField(4, sick.getDisease_status());
        recordData.setField(5, sick.getDate());
        recordEntry.setRecordData(recordData);
        return recordEntry;
    }
}