我需要执行一些任务。有些任务是独立的,有些任务依赖于其他任务的成功执行。独立任务可以并行运行以获得更好的性能。我把这些任务称为服务。列链接
说明哪些服务将以串联方式执行,哪些服务将以并联方式执行。列order
描述了一组定义的服务所遵循的执行顺序。例如,服务A和B应该并行运行。如果它们已成功执行,则将执行服务C。请注意,服务C并不直接依赖于其先前服务的输出,但它必须在成功执行其先前服务后运行,因为服务C在执行期间需要由其先前服务生成的一些数据。成功执行服务C后,将执行下一个服务D,依此类推。此循环将继续,直到列表中的所有服务都已使用。
Tasks service link order
Service A 01 03 1
Service B 02 03 2
Service C 03 04 3
Service D 04 05 4
Service E 05 07 5
Service F 06 07 6
Service G 07 (null) 7
下面是我的代码。
public void executeTransactionFlow(DataVo dataVo) throws Exception {
List<Callable<Boolean>> threadList = new ArrayList<>();
List<String> serviceIds = new ArrayList<>();
List<Future<Boolean>> futureList;
String validatedRespCode = null, joinTo, prevJoinTo = null, serviceId;
// Iterating through service flows map
for (Map<String, String> map : serviceFlowsMap) {
joinTo = map.get("link");
serviceId = map.get("service");
// A simple flag to differentiate which services should execute parallel and which in serial.
if (null == prevJoinTo) {
prevJoinTo = joinTo;
}
// Check for join condition. If join condition is same as previous then do not execute the thread list yet add current service in list
if (null != joinTo && joinTo.equals(prevJoinTo)) {
threadList.add(new Callable<String, DataVo>(serviceId, dataVo));
}
/*
* 1. Run the threads in the list
* 2. Empty the thread list
* 3. Empty serviceIds list
* 4. Set prevJoinTo
*/
else {
if (threadList.size() > 0) {
prevJoinTo = joinTo;
try {
// If list contain only 1 service then call, otherwise invokeAll
futureList = MyExecutor.executeServices(threadList, dataVo);
// During execution we cannot interrupt services, so we check here after they get back to here and interrupt if it has been timedout.
if (dataVo.isTimedout()) {
throw new Exception("Transaction thread is Interrupted or Timed-out");
}
// Validate service response codes and get decision in case of any failure
validatedRespCode = validateResponseOfExecutedServices(dataVo, futureList, serviceIds);
// If validationRespCode is non 00 then do not process further
if (null != validatedRespCode && !"200".equals(validatedRespCode)) {
break;
}
}
catch (Exception e) {
throw new Exception(e.getMessage(), e);
}
finally {
// clear thread list and serviceIds list. It will be populated for next parallel set of threads
threadList.clear();
serviceIds.clear();
}
}
// Start preparing new thread list
// Adding current service_id into threadList after executing previous services in parallel.
threadList.add(new Callable<String, DataVo>(serviceId, dataVo));
}
}
// Run remaining services
if (!threadList.isEmpty()) {
try {
futureList = MyExecutor.executeServices(threadList, dataVo);
validatedRespCode = validateResponseOfExecutedServices(dataVo, futureList, serviceIds);
}
catch (Throwable e) {
throw new Exception(e.getMessage(), e);
}
}
// Check validation response code
if (null != validatedRespCode && !"200".equals(validatedRespCode)) {
MyExecutor.callDeclineFlow(dataVo, validatedRespCode, null);
}
}
/**
* This method iterates through the thread list and checks for exceptions and service responses.
* If service response is not success or if any exception has occurred then exception is thrown
*/
public String validateResponseOfExecutedServices(DataVo dataVo, List<Future<Boolean>> futureList, List<String> serviceIds) throws Exception {
String finalResponse = "200", serviceResponse = null;
/*
* future list will be null if single service is executed (no other parallel transactions). The reason is that we do
* not use invokeAll() on single service.
*/
if (null != futureList && futureList.size() > 0) {
for (Future<Boolean> future : futureList) {
try {
future.get();
}
catch (Exception e) {
throw new Exception(e.getMessage(), e);
}
}
}
// Iterate through serviceIds and check responses.
for (String serviceId : serviceIds) {
serviceResponse = dataVo.getServiceResponse(serviceId);
/*
* if one of following response is found then consider it exception
*/
if (null != serviceResponse && "400,401,402,403,404,500,501".contains(serviceResponse)) {
throw new Exception("One of the service has been declined");
}
}
return finalResponse;
}
如果CompletableFuture
在这里是有益的,那么我如何有效地使用它?
而future.get()
是一个阻塞调用。如果我有10个并行执行的服务,那么这个future.get()
将阻止其他服务,即使它们在我们等待的当前之前执行。如何避免这种阻塞?
我添加了问题陈述的更多细节,即添加订单列。服务需要遵循定义的顺序。服务A和B的顺序分别为1和2,但它们仍将并行执行,因为它们在链接中都有
03
值。我认为@Thomas在评论中建议,现在不需要依赖关系图方法。
只是无法将我的注意力从使用纯Java的基本问题上移开。这是我先前回答的一个修改版本。此答案包含两种样式—RxJava
和ExecutorService
。它包含3个类:
ExecutorService
的实现。我使用Future.get()
等待操作的结果,不同的是等待本身是异步发生的。看看start Action()
.代码:依赖序列OfActionsBase
abstract class DependentSeriesOfActionsBase{
protected List<Action> allActions;
protected ExecutorService SVC = Executors.newCachedThreadPool();
protected boolean allActionsCompleted(){
for( Action a : this.allActions ) if( !a.isCompleted() ) return false;
return true;
}
protected static boolean allDepsCompleted( Action a, List<Action> allActions ){
for( Action dep : allActions ) {
if( a.getDependencies().contains( dep ) && !dep.isCompleted() ) return false;
}
return true;
}
/* Returns the actions that are dependent on Action <code>a</code>. */
protected List<Action> getDeps( Action a, List<Action> list ){
List<Action> deps = new ArrayList<>();
for( Action dep : list ) if( dep.getDependencies().contains( a ) ) deps.add( dep );
return deps;
}
/* Creates the action list with respective dependencies. */
protected List<Action> createActions(){
List<Action> actions = new ArrayList<>();
Action a = createAction( 5000, "ServiceA", null );
Action b = createAction( 5000, "ServiceB", null );
Action c = createAction( 2000, "ServiceC", a, b );
Action d = createAction( 2000, "ServiceD", c );
Action e = createAction( 2000, "ServiceE", d );
actions.add( a ); actions.add( b ); actions.add( c ); actions.add( d ); actions.add( e );
return actions;
}
protected Action createAction( final long sleepMillis, final String name, Action... dependencies ) {
List<Action> deps = null;
if( dependencies != null ) {
deps = new ArrayList<>();
for( Action a : dependencies ) deps.add( a );
}
return Action.of( () -> {
System.out.println( "Service (" + name + ") started" );
try {
Thread.sleep( sleepMillis );
} catch (InterruptedException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
System.out.println( "Service (" + name + ") completed" );
return true;
}, name, deps );
}
/* Attempts to start all actions that are present in the passed list. */
protected void startAllActions( List<Action> actions ){
for( Action action : actions ) {
startAction( action, actions );
}
}
protected abstract void startAction( Action action, List<Action> actions );
protected void shutdown(){
SVC.shutdown();
try {
SVC.awaitTermination( 2, TimeUnit.SECONDS );
} catch (InterruptedException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
}
代码:DependentSeriesOfActionsCoreJava
public class DependentSeriesOfActionsCoreJava extends DependentSeriesOfActionsBase{
public static void main( String[] args ){
new DependentSeriesOfActionsCoreJava().start();
}
private void start() {
this.allActions = createActions();
startAllActions( this.allActions );
}
protected void startAction( Action a, List<Action> list ){
if( !a.isPending() ) return;
if( !allDepsCompleted( a, allActions ) ) return;
if( a.isPending() ) {
synchronized (a.LOCK ) {
if( a.isPending() ) {
a.setStatus( 1 ); //Set to running, so that it is not picked up twice.
/* Submit the action to the ExecutorService and get the handle to the Future. */
final Future<?> fut = SVC.submit( () -> a.action.call() );
/* Submit the Future.get() action to the ExecutorService and execute the dependencies when it returns. */
SVC.submit( () -> {
Object returnVal = null;
/* Wait */
try {
fut.get();
a.setStatus( 2 );
/* If all actions are completed, shut down the ExecutorService. */
if( allActionsCompleted() ) shutdown();
} catch (InterruptedException | ExecutionException e) {
e.printStackTrace();
}
startAllActions( getDeps( a, this.allActions ) );
} );
}
}
}
}
}
代码:dependentsriesofactionsrxjava
public class DependentSeriesOfActionsRxJava extends DependentSeriesOfActionsBase{
/* To listen to the completion of a task, so that the dependent tasks may be scheduled. */
private Subject<Action> completionSub = io.reactivex.subjects.BehaviorSubject.create();
/* To listen to the completion of all tasks, so that ExecutorService may shut down. */
private Subject<Boolean> allActionCompletedSub = io.reactivex.subjects.BehaviorSubject.create();
public static void main( String[] args ){
new DependentSeriesOfActionsRxJava().start();
}
private void start() {
this.allActions = createActions();
subscribeToActionCompletions();
subscribeToSvcShutdown();
startAllActions( this.allActions );
}
private void subscribeToSvcShutdown(){
/* If all actions have been completed, shut down the ExecutorService. */
this.allActionCompletedSub.subscribe( allScheduled -> {
if( allScheduled ) shutdown();
});
}
private void subscribeToActionCompletions(){
this.completionSub.subscribe( complAction -> {
/* Get the actions that are dependent on this recently completed action and "attempt" to start them. */
List<Action> deps = getDeps( complAction, this.allActions );
startAllActions( deps );
/* If all actions have got completed, raise the flag. */
if( allActionsCompleted() ) this.allActionCompletedSub.onNext( true );
});
}
/* Attempts to start an action. Only if it is still pending and all of its dependencies are completed. */
protected void startAction( Action a, List<Action> list ){
if( !a.isPending() ) return;
if( !allDepsCompleted( a, allActions ) ) return;
if( a.isPending() ) {
synchronized (a.LOCK ) {
if( a.isPending() ) {
a.setStatus( 1 ); //Set to running, so that it is not picked up twice.
SVC.submit( () -> {
try {
a.getAction().call();
} catch (Exception e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
a.setStatus( 2 ); //Set to completed. (We may have to synchronize this.)
this.completionSub.onNext( a );
} );
}
}
}
}
}
ThenComine可以用来表示CompletionStages
之间的依赖关系,允许您在两者都完成后执行任务。然后,您可以使用thenApply预制后续操作:
CompletionStage<ServiceAResponse> serviceAResponse = callServiceA();
CompletionStage<ServiceBResponse> serviceBResponse = callServiceB();
CompletionStage<ServiceEResponse> result = serviceA.thenCombine(serviceBResponse, (aResponse, bResponse) -> serviceC.call(aResponse, bResponse))
.thenApply(cResponse -> serviceD.call(cResponse))
.thenApply(dResponse -> serviceE.call(eResponse))
public CompletionStage<ServiceAResponse> callServiceA() {
return CompletableFuture.supplyAsync(() -> serviceA.call());
}
public CompletionStage<ServiceBResponse> callServiceB() {
return CompletableFuture.supplyAsync(() -> serviceB.call());
}
真棒的问题。虽然从技术上讲,完全可以使用ExecutorService
和Future
来实现这一点,但根据我的理解,更好的方法是使用反应式编程,而不是单纯依赖Future
或CompletableFuture
或CompletionService
等。主要原因是它可能很快成为一个难以阅读的代码。
下面是我使用RxJava 2.2.16和ExecutorService的方法:
ExecutorService
至submit()
操作,执行不依赖于其他人或其所有依赖项的操作
BehaviorSubject
。当一个操作完成时,为其每个依赖项触发步骤(1)
行为主题
很抱歉,由于采用了新的方法,我以自己的方式编写了整个逻辑。但它仍然围绕着你给出的主要要求。最好先看看AppRxjava
中的Action
模型类和createActions()
方法。从那里,您应该能够遵循代码。为了模拟一些时间消耗,我使用了著名的线程。sleep()
技术。
public class AppRxJava{
/* To listen to the completion of a task, so that the dependent tasks may be scheduled. */
private Subject<Action> completionSub = io.reactivex.subjects.BehaviorSubject.create();
/* To listen to the completion of all tasks, so that ExecutorService may shut down. */
private Subject<Boolean> allActionCompletedSub = io.reactivex.subjects.BehaviorSubject.create();
private ExecutorService SVC = Executors.newCachedThreadPool();
private List<Action> allActions;
public static void main( String[] args ){
new AppRxJava().start();
}
private void start() {
this.allActions = createActions();
subscribeToActionCompletions();
subscribeToSvcShutdown();
startAllActions( this.allActions );
}
private void subscribeToSvcShutdown(){
/* If all actions have been completed, shut down the ExecutorService. */
this.allActionCompletedSub.subscribe( allScheduled -> {
if( allScheduled ) {
SVC.shutdown();
try {
SVC.awaitTermination( 2, TimeUnit.SECONDS );
} catch (InterruptedException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
});
}
private void subscribeToActionCompletions(){
this.completionSub.subscribe( complAction -> {
/* Get the actions that are dependent on this recently completed action and "attempt" to start them. */
List<Action> deps = getDeps( complAction, this.allActions );
startAllActions( deps );
/* If all actions have got completed, raise the flag. */
if( allActionsCompleted() ) this.allActionCompletedSub.onNext( true );
});
}
/* Attempts to start all actions that are present in the passed list. */
private void startAllActions( List<Action> actions ){
for( Action action : actions ) {
startAction( action, actions );
}
}
/* Attempts to start an action. Only if it is still pending and all of its dependencies are completed. */
private void startAction( Action a, List<Action> list ){
if( !a.isPending() ) return;
if( !allDepsCompleted( a, allActions ) ) return;
if( a.isPending() ) {
synchronized (a.LOCK ) {
if( a.isPending() ) {
a.setStatus( 1 ); //Set to running, so that it is not picked up twice.
SVC.submit( () -> {
try {
a.getAction().call();
} catch (Exception e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
a.setStatus( 2 ); //Set to completed. (We may have to synchronize this.)
this.completionSub.onNext( a );
} );
}
}
}
}
private boolean allActionsCompleted(){
for( Action a : this.allActions ) if( !a.isCompleted() ) return false;
return true;
}
private static boolean allDepsCompleted( Action a, List<Action> allActions ){
for( Action dep : allActions ) {
if( a.getDependencies().contains( dep ) && !dep.isCompleted() ) return false;
}
return true;
}
/* Returns the actions that are dependent on Action <code>a</code>. */
private List<Action> getDeps( Action a, List<Action> list ){
List<Action> deps = new ArrayList<>();
for( Action dep : list ) if( dep.getDependencies().contains( a ) ) deps.add( dep );
return deps;
}
/* Creates the action list with respective dependencies. */
private List<Action> createActions(){
List<Action> actions = new ArrayList<>();
Action a = createAction( 5000, "ServiceA", null );
Action b = createAction( 5000, "ServiceB", null );
Action c = createAction( 2000, "ServiceC", a, b );
Action d = createAction( 2000, "ServiceD", c );
Action e = createAction( 2000, "ServiceE", d );
actions.add( a ); actions.add( b ); actions.add( c ); actions.add( d ); actions.add( e );
return actions;
}
private Action createAction( final long sleepMillis, final String name, Action... dependencies ) {
List<Action> deps = null;
if( dependencies != null ) {
deps = new ArrayList<>();
for( Action a : dependencies ) deps.add( a );
}
return Action.of( () -> {
System.out.println( "Service (" + name + ") started" );
try {
Thread.sleep( sleepMillis );
} catch (InterruptedException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
System.out.println( "Service (" + name + ") completed" );
return true;
}, name, deps );
}
}
还有动作模型课。这表示一个操作及其依赖的操作列表。(与您最初的表述略有不同。但我认为,如果您能相应地处理它,任何一种方式都可以。)
public class Action{
Callable<Boolean> action;
String name;
List<Action> dependencies = new ArrayList<>();
AtomicInteger status = new AtomicInteger( 0 ); //0 = Pending, 1 = Scheduled, 2 = Completed
public static final Object LOCK = new Object();
private Action(Callable<Boolean> action, String name, List<Action> dependencies) {
super();
this.action = action;
this.name = name;
if( dependencies != null ) this.dependencies = dependencies;
}
public static Action of( Callable<Boolean> action, String name, List<Action> dependencies ){
return new Action( action, name, dependencies );
}
public Callable<Boolean> getAction(){
return action;
}
public String getName(){
return name;
}
public List<Action> getDependencies(){
return dependencies;
}
public boolean isCompleted(){
return this.status.get() == 2;
}
public boolean isPending(){
return this.status.get() == 0;
}
public boolean isScheduled(){
return this.status.get() == 1;
}
public void setStatus( int status ){
this.status.getAndSet( status );
}
@Override
public int hashCode(){
final int prime = 31;
int result = 1;
result = prime * result + ((name == null) ? 0 : name.hashCode());
return result;
}
@Override
public boolean equals( Object obj ){
if (this == obj) return true;
if (obj == null) return false;
if (getClass() != obj.getClass()) return false;
Action other = (Action) obj;
if (name == null) {
if (other.name != null)
return false;
} else if (!name.equalsIgnoreCase( other.name )) return false;
return true;
}
}
问题内容: 我们有一个基于石英的调度程序应用程序,该应用程序每分钟运行约1000个作业,每分钟的秒数均匀分布,即每秒约16-17个作业。理想情况下,这16-17个作业应同时触发,但是该作业的execute方法的第一个语句(仅记录执行时间)非常晚。例如,假设我们从05:00到05:04每分钟安排1000个作业。因此,理想情况下,计划在05:03:50进行的作业应该在05:03:50记录了execut
执行流程 PHP的生命周期: 模块初始化阶段 请求初始化阶段 执行PHP脚本阶段 请求结束阶段 模块关闭阶段
我确信这两个列表都不是空的,并且正在调用,但是没有调用order execution run方法....
主要内容:1 如何使用多个线程执行一个任务,2 如何使用多个线程执行多个任务1 如何使用多个线程执行一个任务 如果需要由多个线程执行单个任务,则只有一个run()方法,例如: 1.1 多个线程执行一个任务示例1 输出结果为: 1.2 多个线程执行一个任务示例2 输出结果为: 注意:每个线程在单独的堆栈中运行。 2 如何使用多个线程执行多个任务 如果必须通过多个线程执行多个任务,请使用多个run() 方法: 2.1 多个线程执行多个任务示例1 输出结果为: 2.2 多个线程
问题内容: 我对CompletableFuture方法有疑问: 事情是JavaDoc这么说的: 返回一个新的CompletionStage,当此阶段正常完成时,将使用该阶段的结果作为所提供函数的参数来执行该阶段。有关涵盖异常完成的规则,请参见CompletionStage文档。 那线程呢?这将在哪个线程中执行?如果将来由线程池完成怎么办? 问题答案: 文档中指定的策略可以帮助您更好地理解: 对
我有一个关于CompletableFuture方法的问题: 问题是JavaDoc只说了这么一句话: 返回一个新的CompletionStage,当此阶段正常完成时,将以此阶段的结果作为所提供函数的参数执行该CompletionStage。有关例外完成的规则,请参阅CompletionStage文档。 穿线呢?这将在哪个线程中执行?如果未来是由一个线程池来完成的呢?