Storm集成Redis
一、Storm集成redis前的准备
首先是需要安装storm和redis环境，具体安装方法可分别去http://storm.apache.org/和http://redis.io查询，安装完成之后 需要准备运行所需要的jar包，除了storm本身lib下的jar包外，操作redis还需要guava-12.0.1、jedis-2.7.2、commons-pool2-2.3.jar、hamcrest-core-1.3.jar和storm-redis-0.10.0.jar，将其引入即可
二、代码
具体的实例代码在storm-1.10.0的版本中自带，具体可以去下载storm的1.10.0的源码中自行查找，下面将wordcount的集成实例代码列下，spout/bolt的topology主要需要三个文件，分别为PersistentWordCount.java、WordSpout.java和WordCount.java，代码如下：（对trident感兴趣的，源码中也有实例程序，可自行查找学习）
/**
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.storm.redis.topology;
import backtype.storm.Config;
import backtype.storm.LocalCluster;
import backtype.storm.StormSubmitter;
import backtype.storm.topology.OutputFieldsDeclarer;
import backtype.storm.topology.TopologyBuilder;
import backtype.storm.tuple.Fields;
import backtype.storm.tuple.ITuple;
import backtype.storm.tuple.Tuple;
import org.apache.storm.redis.bolt.AbstractRedisBolt;
import org.apache.storm.redis.bolt.RedisStoreBolt;
import org.apache.storm.redis.common.config.JedisClusterConfig;
import org.apache.storm.redis.common.config.JedisPoolConfig;
import org.apache.storm.redis.common.mapper.RedisDataTypeDescription;
import org.apache.storm.redis.common.mapper.RedisStoreMapper;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import redis.clients.jedis.JedisCommands;
import redis.clients.jedis.exceptions.JedisConnectionException;
import redis.clients.jedis.exceptions.JedisException;
public class PersistentWordCount {
private static final String WORD_SPOUT = "WORD_SPOUT";
private static final String COUNT_BOLT = "COUNT_BOLT";
private static final String STORE_BOLT = "STORE_BOLT";
private static final String TEST_REDIS_HOST = "127.0.0.1";
private static final int TEST_REDIS_PORT = 6379;
public static void main(String[] args) throws Exception {
Config config = new Config();
String host = TEST_REDIS_HOST;
int port = TEST_REDIS_PORT;
if (args.length >= 2) {
host = args[0];
port = Integer.parseInt(args[1]);
}
JedisPoolConfig poolConfig = new JedisPoolConfig.Builder()
.setHost(host).setPort(port).build();
WordSpout spout = new WordSpout();
WordCounter bolt = new WordCounter();
RedisStoreMapper storeMapper = setupStoreMapper();
RedisStoreBolt storeBolt = new RedisStoreBolt(poolConfig, storeMapper);
// wordSpout ==> countBolt ==> RedisBolt
TopologyBuilder builder = new TopologyBuilder();
builder.setSpout(WORD_SPOUT, spout, 1);
builder.setBolt(COUNT_BOLT, bolt, 1).fieldsGrouping(WORD_SPOUT, new Fields("word"));
builder.setBolt(STORE_BOLT, storeBolt, 1).shuffleGrouping(COUNT_BOLT);
if (args.length == 2) {
LocalCluster cluster = new LocalCluster();
cluster.submitTopology("test", config, builder.createTopology());
Thread.sleep(30000);
cluster.killTopology("test");
cluster.shutdown();
System.exit(0);
} else if (args.length == 3) {
StormSubmitter.submitTopology(args[2], config, builder.createTopology());
} else {
System.out.println("Usage: PersistentWordCount <redis host> <redis port> (topology name)");
}
}
private static RedisStoreMapper setupStoreMapper() {
return new WordCountStoreMapper();
}
private static class WordCountStoreMapper implements RedisStoreMapper {
private RedisDataTypeDescription description;
private final String hashKey = "wordCount";
public WordCountStoreMapper() {
description = new RedisDataTypeDescription(
RedisDataTypeDescription.RedisDataType.HASH, hashKey);
}
@Override
public RedisDataTypeDescription getDataTypeDescription() {
return description;
}
@Override
public String getKeyFromTuple(ITuple tuple) {
return tuple.getStringByField("word");
}
@Override
public String getValueFromTuple(ITuple tuple) {
return tuple.getStringByField("count");
}
}
}
/**
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.storm.redis.topology;
import backtype.storm.spout.SpoutOutputCollector;
import backtype.storm.task.TopologyContext;
import backtype.storm.topology.IRichSpout;
import backtype.storm.topology.OutputFieldsDeclarer;
import backtype.storm.tuple.Fields;
import backtype.storm.tuple.Values;
import java.util.Map;
import java.util.Random;
import java.util.UUID;
public class WordSpout implements IRichSpout {
boolean isDistributed;
SpoutOutputCollector collector;
public static final String[] words = new String[] { "apple", "orange", "pineapple", "banana", "watermelon" };
public WordSpout() {
this(true);
}
public WordSpout(boolean isDistributed) {
this.isDistributed = isDistributed;
}
public boolean isDistributed() {
return this.isDistributed;
}
@SuppressWarnings("rawtypes")
public void open(Map conf, TopologyContext context, SpoutOutputCollector collector) {
this.collector = collector;
}
public void close() {
}
public void nextTuple() {
final Random rand = new Random();
final String word = words[rand.nextInt(words.length)];
this.collector.emit(new Values(word), UUID.randomUUID());
Thread.yield();
}
public void ack(Object msgId) {
}
public void fail(Object msgId) {
}
public void declareOutputFields(OutputFieldsDeclarer declarer) {
declarer.declare(new Fields("word"));
}
@Override
public void activate() {
}
@Override
public void deactivate() {
}
@Override
public Map<String, Object> getComponentConfiguration() {
return null;
}
}
/**
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.storm.redis.topology;
import backtype.storm.task.TopologyContext;
import backtype.storm.topology.BasicOutputCollector;
import backtype.storm.topology.IBasicBolt;
import backtype.storm.topology.OutputFieldsDeclarer;
import backtype.storm.tuple.Fields;
import backtype.storm.tuple.Tuple;
import backtype.storm.tuple.Values;
import com.google.common.collect.Maps;
import java.util.Map;
import static backtype.storm.utils.Utils.tuple;
public class WordCounter implements IBasicBolt {
private Map<String, Integer> wordCounter = Maps.newHashMap();
@SuppressWarnings("rawtypes")
public void prepare(Map stormConf, TopologyContext context) {
}
public void execute(Tuple input, BasicOutputCollector collector) {
String word = input.getStringByField("word");
int count;
if (wordCounter.containsKey(word)) {
count = wordCounter.get(word) + 1;
wordCounter.put(word, wordCounter.get(word) + 1);
} else {
count = 1;
}
wordCounter.put(word, count);
collector.emit(new Values(word, String.valueOf(count)));
}
public void cleanup() {
}
public void declareOutputFields(OutputFieldsDeclarer declarer) {
declarer.declare(new Fields("word", "count"));
}
@Override
public Map<String, Object> getComponentConfiguration() {
return null;
}
}
三、查看结果
运行PersistentWordCount，在命令行中键入
src/redis-cli
进入到redis的client，输入命令
HGETALL wordCount
即可查看到结果