這篇文章主要介紹“Flink Connectors怎么連接redis”,在日常操作中,相信很多人在Flink Connectors怎么連接Redis問題上存在疑惑,小編查閱了各式資料,整理出簡單好用的操作方法,希望對大家解答”Flink Connectors怎么連接Redis”的疑惑有所幫助!接下來,請跟著小編一起來學習吧!
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通過使用Flink DataStream Connectors 數(shù)據(jù)流連接器連接到Redis緩存數(shù)據(jù)庫,并提供數(shù)據(jù)流輸入與輸出操作;
示例環(huán)境
java.version: 1.8.xflink.version: 1.11.1redis:3.2
示例數(shù)據(jù)源 (項目碼云下載)
Flink 系例 之 搭建開發(fā)環(huán)境與數(shù)據(jù)
示例模塊 (pom.xml)
Flink 系例 之 DataStream Connectors 與 示例模塊
數(shù)據(jù)流輸入
DataStreamSource.java
package com.flink.examples.redis; import org.apache.flink.api.java.tuple.Tuple2; import org.apache.flink.streaming.api.datastream.DataStream; import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; import org.apache.flink.streaming.api.functions.source.RichSourceFunction; import redis.clients.jedis.Jedis; import redis.clients.jedis.JedisPool; import redis.clients.jedis.JedisPoolConfig; import redis.clients.jedis.Protocol; /** * @Description 從redis中讀取數(shù)據(jù)輸出到DataStream數(shù)據(jù)流中 */ public class DataStreamSource { /** * 官方文檔:https://bahir.apache.org/docs/flink/current/flink-streaming-redis/ */ public static void main(String[] args) throws Exception { final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); String key = "props"; //實現(xiàn)RichSourceFunction抽象方法,加載數(shù)據(jù)源數(shù)據(jù)到流中 DataStream> dataStream = env.addSource(new RichSourceFunction >(){ private JedisPool jedisPool = null; @Override public void run(SourceContext > ctx) throws Exception { jedisPool = new JedisPool(new JedisPoolConfig(), "127.0.0.1", 6379, Protocol.DEFAULT_TIMEOUT); Jedis jedis = jedisPool.getResource(); try{ ctx.collect(Tuple2.of(key, jedis.get(key))); }catch(Exception e){ e.printStackTrace(); }finally{ if (jedis != null){ //用完即關(guān),內(nèi)部會做判斷,如果存在數(shù)據(jù)源與池,則回滾到池中 jedis.close(); } } } @Override public void cancel() { try { super.close(); }catch(Exception e){ } if (jedisPool != null){ jedisPool.close(); jedisPool = null; } } }); dataStream.print(); env.execute("flink redis source"); } }
數(shù)據(jù)流輸出
DataStreamSink.java
package com.flink.examples.redis; import org.apache.commons.lang3.RandomUtils; 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.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; /** * @Description 將數(shù)據(jù)流寫入到redis中 */ public class DataStreamSink { /** * 官方文檔:https://bahir.apache.org/docs/flink/current/flink-streaming-redis/ */ public static void main(String[] args) throws Exception { final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); //1.寫入數(shù)據(jù)到流中 String [] words = new String[]{"props","student","build","name","execute"}; DataStream> sourceStream = env.fromElements(words).map(new MapFunction >() { @Override public Tuple2 map(String v) throws Exception { return Tuple2.of(v, RandomUtils.nextInt(1000, 9999)); } }); sourceStream.print(); //2.實例化FlinkJedisPoolConfig 配置redis FlinkJedisPoolConfig conf = new FlinkJedisPoolConfig.Builder().setHost("127.0.0.1").setPort(6379).build(); //3.寫入到redis,實例化RedisSink,并通過flink的addSink的方式將flink計算的結(jié)果插入到redis sourceStream.addSink(new RedisSink<>(conf, new RedisMapper >(){ @Override public RedisCommandDescription getCommandDescription() { return new RedisCommandDescription(RedisCommand.SET, null); //通過實例化傳參,設(shè)置hash值的key //return new RedisCommandDescription(RedisCommand.HSET, key); } @Override public String getKeyFromData(Tuple2 tuple2) { return tuple2.f0; } @Override public String getValueFromData(Tuple2 tuple2) { return tuple2.f1.toString(); } })); env.execute("flink redis sink"); } }
數(shù)據(jù)展示
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