Storm Spring Boot Demo:打造实时大数据处理的新篇章
import org.apache.storm.Config;
import org.apache.storm.LocalCluster;
import org.apache.storm.generated.StormTopology;
import org.apache.storm.topology.TopologyBuilder;
import org.apache.storm.tuple.Fields;
import org.apache.storm.tuple.Values;
public class StormSpringBootDemo {
public static void main(String[] args) {
// 创建TopologyBuilder对象
TopologyBuilder builder = new TopologyBuilder();
// 设置Spout组件
builder.setSpout("sentence-spout", new SentenceSpout(), 1);
// 设置Bolt组件
builder.setBolt("split-bolt", new SplitSentenceBolt(), 1)
.shuffleGrouping("sentence-spout");
builder.setBolt("count-bolt", new WordCountBolt(), 1)
.fieldsGrouping("split-bolt", new Fields("word"));
// 创建配置对象
Config conf = new Config();
conf.setDebug(true);
// 创建本地Storm集群对象
LocalCluster cluster = new LocalCluster();
// 构建并提交Storm拓扑
StormTopology topology = builder.createTopology();
cluster.submitTopology("word-count-topology", conf, topology);
// 运行一段时间后停止集群
try {
Thread.sleep(30000);
} catch (InterruptedException e) {
e.printStackTrace();
}
cluster.shutdown();
}
// 以下是Spout、Bolt的简单实现,仅作为示例
public static class SentenceSpout extends BaseRichSpout {
// ...
}
public static class SplitSentenceBolt extends BaseRichBolt {
// ...
public void execute(Tuple tuple, BasicOutputCollector collector) {
// 假设这里是对输入句子的分词逻辑
String sentence = tuple.getString(0);
for (String word : sentence.split(" ")) {
collector.emit(new Values(word));
}
}
// ...
}
public static class WordCountBolt extends BaseRichBolt {
// ...
public void execute(Tuple tuple, BasicOutputCollector collector) {
// 假设这里是单词计数逻辑
String word = tuple.getString(0);
// 更新单词计数
// ...
}
// ...
}
}
这个代码示例展示了如何在Java中使用Apache Storm创建一个简单的实时单词计数应用。它包括了创建Spout和Bolt组件、配置集群以及提交拓扑的过程。虽然示例中的组件实现没有详细的逻辑(因为这取决于具体的应用需求),但它为开发者提供了一个如何开始在Storm中进行开发的基本框架。
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