storm编程模型
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package com.heibaiying.wordcount;
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import com.heibaiying.wordcount.component.CountBolt;
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import com.heibaiying.wordcount.component.DataSourceSpout;
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import com.heibaiying.wordcount.component.SplitBolt;
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import org.apache.storm.Config;
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import org.apache.storm.LocalCluster;
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import org.apache.storm.topology.TopologyBuilder;
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public class WordCountApp{
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public static void main(String[] args) {
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TopologyBuilder builder = new TopologyBuilder();
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builder.setSpout("DataSourceSpout", new DataSourceSpout());
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// 指明将 DataSourceSpout 的数据发送到 SplitBolt 中处理
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builder.setBolt("SplitBolt", new SplitBolt()).shuffleGrouping("DataSourceSpout");
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// 指明将 SplitBolt 的数据发送到 CountBolt 中 处理
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builder.setBolt("CountBolt", new CountBolt()).shuffleGrouping("SplitBolt");
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// 创建本地集群用于测试 这种模式不需要本机安装storm,直接运行该Main方法即可
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LocalCluster cluster = new LocalCluster();
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cluster.submitTopology("LocalWordCountTopology",
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new Config(), builder.createTopology());
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}
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}
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package com.heibaiying.wordcount.component;
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import org.apache.storm.task.OutputCollector;
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import org.apache.storm.task.TopologyContext;
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import org.apache.storm.topology.OutputFieldsDeclarer;
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import org.apache.storm.topology.base.BaseRichBolt;
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import org.apache.storm.tuple.Tuple;
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import java.util.HashMap;
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import java.util.Map;
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public class CountBolt extends BaseRichBolt {
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private Map<String, Integer> counts = new HashMap<>();
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@Override
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public void prepare(Map stormConf, TopologyContext context, OutputCollector collector) {
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}
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@Override
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public void execute(Tuple input) {
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String word = input.getStringByField("word");
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Integer count = counts.get(word);
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if (count == null) {
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count = 0;
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}
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count++;
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counts.put(word, count);
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// 输出
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System.out.print("当前实时统计结果:");
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counts.forEach((key, value) -> System.out.print(key + ":" + value + "; "));
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System.out.println();
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}
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@Override
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public void declareOutputFields(OutputFieldsDeclarer declarer) {
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}
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}
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package com.heibaiying.wordcount.component;
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import org.apache.storm.shade.org.apache.commons.lang.StringUtils;
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import org.apache.storm.spout.SpoutOutputCollector;
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import org.apache.storm.task.TopologyContext;
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import org.apache.storm.topology.OutputFieldsDeclarer;
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import org.apache.storm.topology.base.BaseRichSpout;
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import org.apache.storm.tuple.Fields;
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import org.apache.storm.tuple.Values;
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import org.apache.storm.utils.Utils;
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import java.util.*;
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public class DataSourceSpout extends BaseRichSpout {
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private List<String> list = Arrays.asList("Spark", "Hadoop", "HBase", "Storm", "Flink", "Hive");
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private SpoutOutputCollector spoutOutputCollector;
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@Override
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public void open(Map map, TopologyContext topologyContext, SpoutOutputCollector spoutOutputCollector) {
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this.spoutOutputCollector = spoutOutputCollector;
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}
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@Override
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public void nextTuple() {
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// 模拟产生数据
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String lineData = productData();
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spoutOutputCollector.emit(new Values(lineData));
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Utils.sleep(1000);
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}
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@Override
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public void declareOutputFields(OutputFieldsDeclarer outputFieldsDeclarer) {
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outputFieldsDeclarer.declare(new Fields("line"));
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}
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/**
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* 模拟数据
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*/
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private String productData() {
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Collections.shuffle(list);
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Random random = new Random();
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int endIndex = random.nextInt(list.size()) % (list.size()) + 1;
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return StringUtils.join(list.toArray(), "\t", 0, endIndex);
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}
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}
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package com.heibaiying.wordcount.component;
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import org.apache.storm.task.OutputCollector;
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import org.apache.storm.task.TopologyContext;
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import org.apache.storm.topology.OutputFieldsDeclarer;
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import org.apache.storm.topology.base.BaseRichBolt;
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import org.apache.storm.tuple.Fields;
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import org.apache.storm.tuple.Tuple;
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import org.apache.storm.tuple.Values;
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import java.util.Map;
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public class SplitBolt extends BaseRichBolt {
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private OutputCollector collector;
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@Override
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public void prepare(Map stormConf, TopologyContext context, OutputCollector collector) {
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this.collector=collector;
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}
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@Override
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public void execute(Tuple input) {
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String line = input.getStringByField("line");
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String[] words = line.split("\t");
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for (String word : words) {
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collector.emit(new Values(word));
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}
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}
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@Override
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public void declareOutputFields(OutputFieldsDeclarer declarer) {
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declarer.declare(new Fields("word"));
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}
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}
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