Flink中自定义Source和Sink的使用

只要自定一个Source类实现SourceFunction接口，一个Sink类实现SinkFunction接口，就能正常使用自定义的Source和Sink，或者直接extends继承RichSourceFunction和RichSinkFunction,RichSinkFunction:多个open和close方法

1、自定义Source

import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.source.SourceFunction;

public class Demo3SourceFunction {
    public static void main(String[] args) throws Exception {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        //使用自定义source
        DataStream<Integer> myDS = env.addSource(new MySource());
        myDS.print();

        env.execute();
    }
}

//自定义source
//实现SourceFunction接口
class MySource implements SourceFunction<Integer> {
    //在run方法中读取外部的数据，使用原生java代码
    @Override
    public void run(SourceContext<Integer> ctx) throws Exception {
        while (true) {
            ctx.collect(1);
            Thread.sleep(1000);
        }
    }

    //cancel方法是任务被取消是执行的，用于回收资源
    @Override
    public void cancel() {
    }
}

2、自定义Sink

import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.sink.SinkFunction;

public class Demo2MySink {
    public static void main(String[] args) throws Exception {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        DataStreamSource<String> linesDS = env.socketTextStream("master", 8888);
        linesDS.addSink(new MySink());

        env.execute();
    }
}

//自定义Sink
class MySink implements SinkFunction<String> {
    //每一条数据执行一次
    @Override
    public void invoke(String value, Context context) throws Exception {
        System.out.println("mySink:" + value);
    }
}

原文地址：https://blog.csdn.net/ABU009/article/details/143663225

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