面试题答案
一键面试1. 设计思路
我们可以通过继承 ThreadPoolExecutor
类,重写其内部一些方法来获取线程池的状态信息,进而实现告警规则。同时,为了实现动态调整告警阈值,我们可以引入一个配置类来管理这些阈值。
2. 涉及的类
DynamicThresholdConfig
:用于管理告警阈值的配置类。CustomThreadPoolExecutor
:继承自ThreadPoolExecutor
,用于监控线程池状态并触发告警。AlarmHandler
:用于处理告警逻辑的类。
3. 数据结构
- 在
DynamicThresholdConfig
类中,使用基本数据类型(如int
或double
)来存储队列积压任务比例阈值和活跃线程数比例阈值。
4. 具体实现
DynamicThresholdConfig
类
public class DynamicThresholdConfig {
private double queueThresholdRatio;
private double activeThreadThresholdRatio;
public DynamicThresholdConfig(double queueThresholdRatio, double activeThreadThresholdRatio) {
this.queueThresholdRatio = queueThresholdRatio;
this.activeThreadThresholdRatio = activeThreadThresholdRatio;
}
public double getQueueThresholdRatio() {
return queueThresholdRatio;
}
public double getActiveThreadThresholdRatio() {
return activeThreadThresholdRatio;
}
// 提供方法用于动态调整阈值
public void setQueueThresholdRatio(double queueThresholdRatio) {
this.queueThresholdRatio = queueThresholdRatio;
}
public void setActiveThreadThresholdRatio(double activeThreadThresholdRatio) {
this.activeThreadThresholdRatio = activeThreadThresholdRatio;
}
}
AlarmHandler
类
public class AlarmHandler {
public void handleAlarm(String message) {
// 这里可以实现具体的告警逻辑,如发送邮件、短信等
System.out.println("触发告警: " + message);
}
}
CustomThreadPoolExecutor
类
import java.util.concurrent.BlockingQueue;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.TimeUnit;
public class CustomThreadPoolExecutor extends ThreadPoolExecutor {
private final DynamicThresholdConfig config;
private final AlarmHandler alarmHandler;
public CustomThreadPoolExecutor(int corePoolSize, int maximumPoolSize, long keepAliveTime, TimeUnit unit,
BlockingQueue<Runnable> workQueue, DynamicThresholdConfig config, AlarmHandler alarmHandler) {
super(corePoolSize, maximumPoolSize, keepAliveTime, unit, workQueue);
this.config = config;
this.alarmHandler = alarmHandler;
}
@Override
protected void afterExecute(Runnable r, Throwable t) {
super.afterExecute(r, t);
checkAlarm();
}
@Override
protected void beforeExecute(Thread t, Runnable r) {
super.beforeExecute(t, r);
checkAlarm();
}
private void checkAlarm() {
int queueSize = getQueue().size();
int queueCapacity = getQueue().capacity();
int activeCount = getActiveCount();
int corePoolSize = getCorePoolSize();
if (queueSize >= queueCapacity * config.getQueueThresholdRatio()
&& activeCount < corePoolSize * config.getActiveThreadThresholdRatio()) {
String message = "线程池队列积压任务数超过 " + (config.getQueueThresholdRatio() * 100) + "% 且活跃线程数小于核心线程数的 " + (config.getActiveThreadThresholdRatio() * 100) + "%";
alarmHandler.handleAlarm(message);
}
}
}
5. 使用示例
public class Main {
public static void main(String[] args) {
DynamicThresholdConfig config = new DynamicThresholdConfig(0.8, 0.5);
AlarmHandler alarmHandler = new AlarmHandler();
CustomThreadPoolExecutor executor = new CustomThreadPoolExecutor(
10, 20, 10, TimeUnit.SECONDS,
new java.util.concurrent.LinkedBlockingQueue<>(100), config, alarmHandler);
for (int i = 0; i < 150; i++) {
executor.submit(() -> {
try {
Thread.sleep(1000);
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
}
});
}
executor.shutdown();
}
}
通过以上设计,我们可以实现对线程池状态的监控,并根据动态调整的告警阈值触发告警。