Siddhi复杂事件处理开源类库 java 集成简单使用

Siddhi 是一个开源的cep （Complex Event Processing）类库，有一个明显的例子是uber 的事件处理，具体可以google

几张参考cep 以及siddhi 图

java 集成使用(使用maven)

• 代码

maven 
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>com.dalong</groupId>
    <artifactId>cepappdemo</artifactId>
    <version>1.0-SNAPSHOT</version>
    <dependencies>

      <dependency>
          <groupId>org.wso2.siddhi</groupId>
          <artifactId>siddhi-core</artifactId>
          <version>4.1.7</version>
      </dependency>
      <dependency>
          <groupId>org.wso2.siddhi</groupId>
          <artifactId>siddhi-query-api</artifactId>
          <version>4.1.7</version>
      </dependency>
      <dependency>
          <groupId>org.wso2.siddhi</groupId>
          <artifactId>siddhi-query-compiler</artifactId>
          <version>4.1.7</version>
      </dependency>
      <dependency>
          <groupId>org.wso2.siddhi</groupId>
          <artifactId>siddhi-annotations</artifactId>
          <version>4.1.7</version>
      </dependency>
        <dependency>
            <groupId>log4j</groupId>
            <artifactId>log4j</artifactId>
            <version>1.2.17</version>
        </dependency>
        <dependency>
            <groupId>quartz</groupId>
            <artifactId>quartz</artifactId>
            <version>1.6.0</version>
        </dependency>
        <dependency>
            <groupId>com.googlecode.disruptor</groupId>
            <artifactId>disruptor</artifactId>
            <version>2.9</version>
        </dependency>
    </dependencies>

</project>

package com.dalong;
import org.wso2.siddhi.core.SiddhiAppRuntime;
import org.wso2.siddhi.core.SiddhiManager;
import org.wso2.siddhi.core.event.Event;
import org.wso2.siddhi.core.stream.input.InputHandler;
import org.wso2.siddhi.core.stream.output.StreamCallback;

public class Application {

    public static void main(String[] args) throws InterruptedException {
        String siddhiApp = "define stream StockEventStream (symbol string, price float, volume long); " +
                " " +
                "@info(name = 'query1') " +
                "from StockEventStream#window.time(5 sec)  " +
                "select symbol, sum(price) as price, sum(volume) as volume " +
                "group by symbol " +
                "insert into AggregateStockStream ;";

        SiddhiManager siddhiManager = new SiddhiManager();
        SiddhiAppRuntime siddhiAppRuntime = siddhiManager.createSiddhiAppRuntime(siddhiApp);
        siddhiAppRuntime.addCallback("AggregateStockStream", new StreamCallback() {
            @Override
            public void receive(Event[] event) {
                for (int i = 0; i < event.length; i++) {
                    System.out.println("get data:"+event[i].toString());
                }
            }
        });
        InputHandler inputHandler = siddhiAppRuntime.getInputHandler("StockEventStream");
        siddhiAppRuntime.start();
        inputHandler.send(new Object[]{"IBM", 100f, 100L});
        Thread.sleep(1000);
        inputHandler.send(new Object[]{"IBM", 200f, 300L});
        inputHandler.send(new Object[]{"WSO2", 60f, 200L});
        Thread.sleep(1000);
        inputHandler.send(new Object[]{"WSO2", 70f, 400L});
        inputHandler.send(new Object[]{"GOOG", 50f, 30L});
        Thread.sleep(5000);
        inputHandler.send(new Object[]{"IBM", 200f, 400L});
        Thread.sleep(1000);
        inputHandler.send(new Object[]{"WSO2", 70f, 50L});
        Thread.sleep(5000);
        inputHandler.send(new Object[]{"WSO2", 80f, 400L});
        inputHandler.send(new Object[]{"GOOG", 60f, 30L});
        Thread.sleep(3000);
        siddhiAppRuntime.shutdown();
        siddhiManager.shutdown();
    }
}

• 输出结果

get data:Event{timestamp=1526826180972, data=[IBM, 100.0, 100], isExpired=false}
get data:Event{timestamp=1526826181977, data=[IBM, 300.0, 400], isExpired=false}
get data:Event{timestamp=1526826181978, data=[WSO2, 60.0, 200], isExpired=false}
get data:Event{timestamp=1526826182983, data=[WSO2, 130.0, 600], isExpired=false}
get data:Event{timestamp=1526826182983, data=[GOOG, 50.0, 30], isExpired=false}
get data:Event{timestamp=1526826187988, data=[IBM, 200.0, 400], isExpired=false}
get data:Event{timestamp=1526826188993, data=[WSO2, 70.0, 50], isExpired=false}
get data:Event{timestamp=1526826193993, data=[WSO2, 80.0, 400], isExpired=false}
get data:Event{timestamp=1526826193994, data=[GOOG, 60.0, 30], isExpired=false}

• 代码说明
  比较简单，就是进行5s内事件数据的和，代码中的sleep 就是进行时间控制的，实际中可以进行调整，观看不同的效果

参考资料

https://wso2.github.io/siddhi/documentation/siddhi-quckstart-4.0/
https://github.com/wso2/siddhi
https://wso2.github.io/siddhi/documentation/user-guide/