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Flink从socket读取数据sink到redis

2019-05-27 21:51:23  阅读:502  来源: 互联网

标签:Flink 读取数据 flink redis streaming sink org apache import


package com.lin.flink.stream.customPartition;

import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.api.java.tuple.Tuple2;
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.connectors.redis.RedisSink;
import org.apache.flink.streaming.connectors.redis.common.config.FlinkJedisPoolConfig;
import org.apache.flink.streaming.connectors.redis.common.mapper.RedisCommand;
import org.apache.flink.streaming.connectors.redis.common.mapper.RedisCommandDescription;
import org.apache.flink.streaming.connectors.redis.common.mapper.RedisMapper;

public class StreamingDemoToRedis {
    public static void main(String[] args) throws Exception{
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

        DataStreamSource<String> text = env.socketTextStream("node1", 9000, "\n");

        //lpsuh l_words word

        //对数据进行组装,把string转化为tuple2<String,String>
        DataStream<Tuple2<String, String>> l_wordsData = text.map(new MapFunction<String, Tuple2<String, String>>() {
            @Override
            public Tuple2<String, String> map(String value) throws Exception {
                return new Tuple2<String, String>("l_words", value);
            }
        });

        //创建redis的配置
        FlinkJedisPoolConfig conf = new FlinkJedisPoolConfig.Builder().setHost("node1").setPort(6379).build();

        //创建redissink
        RedisSink<Tuple2<String, String>> redisSink = new RedisSink<Tuple2<String, String>>(conf, new MyRedisMapper());

        l_wordsData.addSink(redisSink);

        env.execute("StreamingDemoToRedis");
    }

    public static class MyRedisMapper implements RedisMapper<Tuple2<String, String>> {
        //表示从接收的数据中获取需要操作的redis key
        @Override
        public String getKeyFromData(Tuple2<String, String> data) {
            return data.f0;
        }
        //表示从接收的数据中获取需要操作的redis value
        @Override
        public String getValueFromData(Tuple2<String, String> data) {
            return data.f1;
        }

        @Override
        public RedisCommandDescription getCommandDescription() {
            return new RedisCommandDescription(RedisCommand.LPUSH);
        }
    }
}

 

标签:Flink,读取数据,flink,redis,streaming,sink,org,apache,import
来源: https://www.cnblogs.com/linkmust/p/10933536.html

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