CompletableFuture提供了四个静态方法用来创建CompletableFuture对象:
public static CompletableFuture<Void> runAsync(Runnable runnable)
public static CompletableFuture<Void> runAsync(Runnable runnable, Executor executor)
public static <U> CompletableFuture<U> supplyAsync(Supplier<U> supplier)
public static <U> CompletableFuture<U> supplyAsync(Supplier<U> supplier, Executor executor)
Asynsc表示异步,而supplyAsync与runAsync不同在与前者异步返回一个结果,后者是void.第二个函数第二个参数表示是用我们自己创建的线程池,否则采用默认的ForkJoinPool.commonPool()作为它的线程池
CompletableFuture<String> future = CompletableFuture
.supplyAsync(() -> {
try {
Thread.sleep(1000);
} catch (Exception e) {
e.printStackTrace();
}
return Thread.currentThread().getName();
});
System.out.println(future.get());//输出ForkJoinPool.commonPool-worker-1
public T get()
public T get(long timeout, TimeUnit unit)
public T getNow(T valueIfAbsent)
public T join()
getNow有点特殊,如果结果已经计算完则返回结果或者抛出异常,否则返回给定的valueIfAbsent值。 join()与get()区别在于join()返回计算的结果或者抛出一个unchecked异常(CompletionException),而get()返回一个具体的异常.
public boolean complete(T value)
public boolean completeExceptionally(Throwable ex)
上面方法表示当调用CompletableFuture.get()被阻塞的时候,那么这个方法就是结束阻塞,并且get()获取设置的value.
CompletableFuture<String> future = CompletableFuture
.supplyAsync(() -> {
try {
Thread.sleep(1000);
} catch (Exception e) {
e.printStackTrace();
}
return Thread.currentThread().getName();
});
new Thread(new Runnable() {
@Override
public void run() {
try {
Thread.sleep(1500);
} catch (Exception e) {
e.printStackTrace();
}
future.complete("hello");
}
}).start();
System.out.println(future.get());
上面的例子,如果sleep小于1000,输出hello,大于1000ms,则输出ForkJoinPool.commonPool-worker-1
public <U> CompletableFuture<U> thenApply(Function<? super T,? extends U> fn)
public <U> CompletableFuture<U> thenApplyAsync(Function<? super T,? extends U> fn)
public <U> CompletableFuture<U> thenApplyAsync(Function<? super T,? extends U> fn, Executor executor)
可以通过Function转化数据类型。直接上示例代码
CompletableFuture<String> future = CompletableFuture
.supplyAsync(() -> {
System.out.println("supplyAsync" + Thread.currentThread().getName());
return "step1";
}).thenApply(new Function<String, String>() {
@Override
public String apply(String t) {
System.out.println("thenApply" + Thread.currentThread().getName());
return "step2";
}
}).thenApplyAsync(new Function<String, String>() {
@Override
public String apply(String t) {
System.out.println("thenApplyAsync" + Thread.currentThread().getName());
return "step3";
}
});
System.out.println(future.get());
输出
supplyAsyncForkJoinPool.commonPool-worker-1
thenApplymain
thenApplyAsyncForkJoinPool.commonPool-worker-1
step3
thenApply会自动从默认的子线程中切换成主线程
public CompletionStage<Void> thenAccept(Consumer<? super T> action);
public CompletionStage<Void> thenAcceptAsync(Consumer<? super T> action);
public CompletionStage<Void> thenAcceptAsync(Consumer<? super T> action,Executor executor);
注意没有返回值,一般作为最后一步来做。示例代码
CompletableFuture<Void> future = CompletableFuture
.supplyAsync(() -> {
System.out.println("supplyAsync" + Thread.currentThread().getName());
return "step1";
}).thenApply(new Function<String, String>() {
@Override
public String apply(String t) {
System.out.println("thenApply" + Thread.currentThread().getName());
return "step2";
}
}).thenAccept(new Consumer<String>() {
@Override
public void accept(String t) {
System.out.println("accept" + Thread.currentThread().getName());
}
});
System.out.println(future.get());
输出
supplyAsyncForkJoinPool.commonPool-worker-1
thenApplymain
acceptmain
null
如果换成 thenAcceptAsync,那么就会打印 ForkJoinPool.commonPool-worker-1
public CompletionStage<Void> thenRun(Runnable action);
public CompletionStage<Void> thenRunAsync(Runnable action);
public CompletionStage<Void> thenRunAsync(Runnable action,Executor executor);
它只是接着上面继续往下运行
CompletableFuture<Void> future = CompletableFuture
.supplyAsync(() -> {
System.out.println("supplyAsync" + Thread.currentThread().getName());
return "step1";
}).thenApply(new Function<String, String>() {
@Override
public String apply(String t) {
System.out.println("thenApply" + Thread.currentThread().getName());
return "step2";
}
}).thenRunAsync(new Runnable() {
@Override
public void run() {
System.out.println("thenRunAsync" + Thread.currentThread().getName());
}
});
System.out.println(future.get());
输出
supplyAsyncForkJoinPool.commonPool-worker-1
thenApplymain
thenRunAsyncForkJoinPool.commonPool-worker-1
null
如果改成thenRun,就是main
public <U,V> CompletionStage<V> thenCombine(CompletionStage<? extends U> other,BiFunction<? super T,? super U,? extends V> fn);
public <U,V> CompletionStage<V> thenCombineAsync(CompletionStage<? extends U> other,BiFunction<? super T,? super U,? extends V> fn);
public <U,V> CompletionStage<V> thenCombineAsync(CompletionStage<? extends U> other,BiFunction<? super T,? super U,? extends V> fn,Executor executor);
public <U> CompletionStage<Void> thenAcceptBoth(CompletionStage<? extends U> other,BiConsumer<? super T, ? super U> action);
public <U> CompletionStage<Void> thenAcceptBothAsync(CompletionStage<? extends U> other,BiConsumer<? super T, ? super U> action);
public <U> CompletionStage<Void> thenAcceptBothAsync(CompletionStage<? extends U> other,BiConsumer<? super T, ? super U> action, Executor executor);
当两个CompletionStage都执行完成后,把结果一块处理。thenAcceptBoth 系列没有返回值。还有后面的 runAfterBoth 系列的也是同样的功能
CompletableFuture<String> future = CompletableFuture
.supplyAsync(() -> {
System.out.println("supplyAsync" + Thread.currentThread().getName());
return "step1";
}).thenApply(new Function<String, String>() {
@Override
public String apply(String t) {
System.out.println("thenApply" + Thread.currentThread().getName());
return "step2";
}
});
CompletableFuture<String> future2 = CompletableFuture
.supplyAsync(() -> {
return "future2-step1";
}).thenApplyAsync(new Function<String, String>() {
@Override
public String apply(String t) {
return "future2-step2";
}
});
future.thenCombine(future2, new BiFunction<String, String, String>() {
@Override
public String apply(String t, String u) {
System.out.println("thenCombine" + Thread.currentThread().getName());
return "thenCombine";
}
});
System.out.println(future.get());
输出
supplyAsyncForkJoinPool.commonPool-worker-1
thenApplymain
thenCombinemain
step2
两个CompletionStage,谁执行返回的结果快,我就用那个CompletionStage的结果进行下一步的转化操作。
public <U> CompletionStage<U> applyToEither(CompletionStage<? extends T> other,Function<? super T, U> fn);
public <U> CompletionStage<U> applyToEitherAsync(CompletionStage<? extends T> other,Function<? super T, U> fn);
public <U> CompletionStage<U> applyToEitherAsync(CompletionStage<? extends T> other,Function<? super T, U> fn,Executor executor);
例子我就不写了
thenCompose 方法允许你对两个 CompletionStage 进行流水线操作,第一个操作完成时,将其结果作为参数传递给第二个操作。
public <U> CompletableFuture<U> thenCompose(Function<? super T, ? extends CompletionStage<U>> fn);
public <U> CompletableFuture<U> thenComposeAsync(Function<? super T, ? extends CompletionStage<U>> fn) ;
public <U> CompletableFuture<U> thenComposeAsync(Function<? super T, ? extends CompletionStage<U>> fn, Executor executor) ;
直接上代码
CompletableFuture<String> future = CompletableFuture.supplyAsync(
() -> {
System.out.println("supplyAsync" + Thread.currentThread().getName());
return "step1";
}).thenCompose(new Function<String, CompletionStage<String>>() {
@Override
public CompletionStage<String> apply(String t) {
return CompletableFuture.supplyAsync(() -> {
return "future2-step1";
});
}
});
System.out.println(future.get());
输出
supplyAsyncForkJoinPool.commonPool-worker-1
future2-step1
感觉和前面的没啥区别呀
计算结果完成时的处理
public CompletableFuture<T> whenComplete(BiConsumer<? super T,? super Throwable> action)
public CompletableFuture<T> whenCompleteAsync(BiConsumer<? super T,? super Throwable> action)
public CompletableFuture<T> whenCompleteAsync(BiConsumer<? super T,? super Throwable> action, Executor executor)
public CompletableFuture<T> exceptionally(Function<Throwable,? extends T> fn)
直接上代码
CompletableFuture<String> future = CompletableFuture
.supplyAsync(() -> {
double a = 1/0;
return "step1";
}).whenComplete(new BiConsumer<String, Throwable>() {
@Override
public void accept(String t, Throwable throwable) {
System.out.println("t = " + t + ", throwable = " + throwable);
}
});
System.out.println(future.get());
输出
t = null, throwable = java.util.concurrent.CompletionException: java.lang.ArithmeticException: / by zero
Exception in thread "main" java.util.concurrent.ExecutionException: java.lang.ArithmeticException: / by zero
at java.util.concurrent.CompletableFuture.reportGet(Unknown Source)
at java.util.concurrent.CompletableFuture.get(Unknown Source)
at completableFuture.Main.main(Main.java:28)
Caused by: java.lang.ArithmeticException: / by zero
at completableFuture.Main.lambda$0(Main.java:17)
at java.util.concurrent.CompletableFuture$AsyncSupply.run(Unknown Source)
at java.util.concurrent.CompletableFuture$AsyncSupply.exec(Unknown Source)
at java.util.concurrent.ForkJoinTask.doExec(Unknown Source)
at java.util.concurrent.ForkJoinPool$WorkQueue.runTask(Unknown Source)
at java.util.concurrent.ForkJoinPool.runWorker(Unknown Source)
at java.util.concurrent.ForkJoinWorkerThread.run(Unknown Source)
可以看到其实就算accept,整个程序依然会崩溃
功能和上面一点一样,计算结果完成时的处理
CompletableFuture<String> future = CompletableFuture
.supplyAsync(() -> {
double a = 1/0;
return "step1";
}).handle(new BiFunction<String, Throwable, String>() {
@Override
public String apply(String t, Throwable throwable) {
System.out.println("t = " + t + ", throwable = " + throwable);
return "handle return";
}
});
System.out.println(future.get());
输出
t = null, throwable = java.util.concurrent.CompletionException: java.lang.ArithmeticException: / by zero
handle return
明显看到程序并没有崩溃,也就是说handle里面把崩溃捕捉了