多執行緒中異常堆疊資訊展示
阿新 • • 發佈:2019-02-18
在多執行緒中會出現異常情況發生, 但是又苦於沒有任何日誌資訊, 這對程式設計師來說拍錯是個致命的打擊, 不小心需要好幾天都沒有眉目
針對這種情況, 對JDK自帶的執行緒池進行改造, 讓其能夠顯示出對應的錯誤日誌,
建立TraceThreadPoolExecutor extends ThreadPoolExecutor (JDK自帶執行緒池)
import java.util.concurrent.*;
/**
* Created by Luoqy on 2017/7/9 0009.
*/
public class TraceThreadPoolExecutor extends ThreadPoolExecutor {
public TraceThreadPoolExecutor(int corePoolSize, int maximumPoolSize, long keepAliveTime, TimeUnit unit, BlockingQueue<Runnable> workQueue) {
super(corePoolSize, maximumPoolSize, keepAliveTime, unit, workQueue);
}
@Override
public void execute(Runnable task){
super.execute(warp(task, clientTrace(), Thread.currentThread().getName()));
}
@Override
public Future<?> submit(Runnable task){
return super.submit(warp(task, clientTrace(), Thread.currentThread().getName()));
}
private Exception clientTrace(){
return new Exception("Client stack trace");
}
private Runnable warp(final Runnable task, final Exception clientStack, String clientThreadName) {
return new Runnable() {
@Override
public void run() {
try {
task.run();
} catch (Exception e) {
clientStack.printStackTrace();
throw e;
}
}
};
}
以上warp()方法的第2個引數為一個異常資訊,裡面儲存提交任務的執行緒中的堆疊資訊, 該方法將我們傳入的Runnable任務進一步進行包裝, 使之能處理異常資訊,當異常發生時將會進行異常資訊列印
測試Demo展示:
建立一個除法運算的任務
public class DivTask implements Runnable {
int a;
int b;
public DivTask(int a, int b) {
this.a = a;
this.b = b;
}
@Override
public void run() {
double re = a / b;
System.out.println(re);
}
}
測試
public static void main(String[] args) {
TraceThreadPoolExecutor pools = new TraceThreadPoolExecutor(0, Integer.MAX_VALUE, 0L, TimeUnit.SECONDS, new SynchronousQueue<Runnable>());
for (int i = 0; i < 5; i++) {
pools.execute(new DivTask(100, i));
}
}
執行之後你將看到錯誤提示資訊:
100.0
java.lang.Exception: Client stack trace
25.0
50.0
at com.beingmate.vip.controller.TraceThreadPoolExecutor.clientTrace(TraceThreadPoolExecutor.java:29)
33.0
at com.beingmate.vip.controller.TraceThreadPoolExecutor.execute(TraceThreadPoolExecutor.java:17)
at com.beingmate.vip.controller.TraceThreadPoolExecutor.main(TraceThreadPoolExecutor.java:51)
Exception in thread "pool-1-thread-1" java.lang.ArithmeticException: / by zero
at com.beingmate.vip.controller.DivTask.run(DivTask.java:17)
at com.beingmate.vip.controller.TraceThreadPoolExecutor$1.run(TraceThreadPoolExecutor.java:38)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
備註:
pools.execute() 和 pools.submit().get()方法也可以打印出部分堆疊資訊, 但是無法知道是哪個執行緒出現問題
針對這種情況, 對JDK自帶的執行緒池進行改造, 讓其能夠顯示出對應的錯誤日誌,
建立TraceThreadPoolExecutor extends ThreadPoolExecutor (JDK自帶執行緒池)
import java.util.concurrent.*;
/**
* Created by Luoqy on 2017/7/9 0009.
*/
public class TraceThreadPoolExecutor extends ThreadPoolExecutor {
public TraceThreadPoolExecutor(int corePoolSize, int maximumPoolSize, long keepAliveTime, TimeUnit unit, BlockingQueue<Runnable> workQueue) {
super(corePoolSize, maximumPoolSize, keepAliveTime, unit, workQueue);
}
@Override
public void execute(Runnable task){
super.execute(warp(task, clientTrace(), Thread.currentThread().getName()));
}
@Override
public Future<?> submit(Runnable task){
return super.submit(warp(task, clientTrace(), Thread.currentThread().getName()));
}
private Exception clientTrace(){
return new Exception("Client stack trace");
}
private Runnable warp(final Runnable task, final Exception clientStack, String clientThreadName) {
return new Runnable() {
@Override
public void run() {
try {
task.run();
} catch (Exception e) {
clientStack.printStackTrace();
throw e;
}
}
};
}
以上warp()方法的第2個引數為一個異常資訊,裡面儲存提交任務的執行緒中的堆疊資訊, 該方法將我們傳入的Runnable任務進一步進行包裝, 使之能處理異常資訊,當異常發生時將會進行異常資訊列印
測試Demo展示:
建立一個除法運算的任務
public class DivTask implements Runnable {
int a;
int b;
public DivTask(int a, int b) {
this.a = a;
this.b = b;
}
@Override
public void run() {
double re = a / b;
System.out.println(re);
}
}
測試
public static void main(String[] args) {
TraceThreadPoolExecutor pools = new TraceThreadPoolExecutor(0, Integer.MAX_VALUE, 0L, TimeUnit.SECONDS, new SynchronousQueue<Runnable>());
for (int i = 0; i < 5; i++) {
pools.execute(new DivTask(100, i));
}
}
執行之後你將看到錯誤提示資訊:
100.0
java.lang.Exception: Client stack trace
25.0
50.0
at com.beingmate.vip.controller.TraceThreadPoolExecutor.clientTrace(TraceThreadPoolExecutor.java:29)
33.0
at com.beingmate.vip.controller.TraceThreadPoolExecutor.execute(TraceThreadPoolExecutor.java:17)
at com.beingmate.vip.controller.TraceThreadPoolExecutor.main(TraceThreadPoolExecutor.java:51)
Exception in thread "pool-1-thread-1" java.lang.ArithmeticException: / by zero
at com.beingmate.vip.controller.DivTask.run(DivTask.java:17)
at com.beingmate.vip.controller.TraceThreadPoolExecutor$1.run(TraceThreadPoolExecutor.java:38)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
備註:
pools.execute() 和 pools.submit().get()方法也可以打印出部分堆疊資訊, 但是無法知道是哪個執行緒出現問題