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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