Return 包含 CompletableFuture 列表的 CompletableFuture
Return a CompletableFuture containing a list of CompletableFutures
我正在努力使对多个 API 的调用更快。
在下面的代码中,getFilteredEvents
是当前同步的版本。我感觉 map(x -> x.getFilteredEvents(eventResearch))
操作将等待每个 API 的响应(它在内部使用 RestTemplate.exchange()
),然后再传递到下一个以构建我认为的 List<Event>
想要return。一个解决方案可能是在单独的线程上启动 map
调用,但我想尝试 CompletableFuture
API.
因此,getFilteredEventsFaster
是我努力改善响应时间的结果。
@Service
public class EventsResearchService {
@Autowired
private List<UniformEventsResearchApi> eventsResearchApis;
// this works, but I'm trying to improve it
public EventResearchResponse getFilteredEvents(EventResearch eventResearch) {
List<Event> eventsList = eventsResearchApis
.stream()
.map(x -> x.getFilteredEvents(eventResearch))
.flatMap(List::stream)
.collect(Collectors.toList());
return extractResponse(eventResearch, eventsList);
}
// this doesn't work yet: what is wrong?
public CompletableFuture<List<Event>> getFilteredEventsFaster(EventResearch eventResearch) {
List<CompletableFuture<List<Event>>> futureEventsList = eventsResearchApis
.parallelStream()
.map(x -> CompletableFuture.supplyAsync(() -> x.getFilteredEvents(eventResearch)))
.collect(Collectors.toList());
return CompletableFuture.allOf(futureEventsList.toArray(new CompletableFuture<List<Event>>[0]));
}
}
我的理解是我想将 CompletableFuture<List<Event>>
发送回我的前端,而不是 List<CompletableFuture<List<Event>>>
,因此 CompletableFuture.allOf()
调用(如果我理解正确的话,类似于 flatmap
操作,从多个 CompleteableFuture
s.
创建一个 CompletableFuture
不幸的是,我在使用 new CompletableFuture<List<Event>>[0]
.
时遇到 Generic array creation
编译错误
我做错了什么?
我感觉使用join
方法确实可以让我收集所有的答案,但那将是对我的服务线程的阻塞操作,不是吗? (如果我理解正确的话,这会破坏尝试 return 一个 CompletableFuture
到我的前端的目的。)
以下代码片段显示了使用 listOfFutures.stream().map(CompletableFuture::join)
收集 allOF
的结果。我从 this page 中获取了这个例子,它声明它不会等待每个 Future 完成。
class Test {
public static void main(String[] args) throws Exception {
long millisBefore = System.currentTimeMillis();
List<String> strings = Arrays.asList("1","2", "3", "4", "5", "6", "7", "8");
List<CompletableFuture<String>> listOfFutures = strings.stream().map(Test::downloadWebPage).collect(toList());
CompletableFuture<List<String>> futureOfList = CompletableFuture
.allOf(listOfFutures.toArray(new CompletableFuture[0]))
.thenApply(v -> listOfFutures.stream().map(CompletableFuture::join).collect(toList()));
System.out.println(futureOfList.get()); // blocks here
System.out.printf("time taken : %.4fs\n", (System.currentTimeMillis() - millisBefore)/1000d);
}
private static CompletableFuture<String> downloadWebPage(String webPageLink) {
return CompletableFuture.supplyAsync( () ->{
try { TimeUnit.SECONDS.sleep(4); }
catch (Exception io){ throw new RuntimeException(io); }
finally { return "downloaded : "+ webPageLink; }
});
}
}
由于效率似乎是这里的问题,我提供了一个虚拟基准测试来证明它不需要 32 秒来执行。
输出:
[downloaded : 1, downloaded : 2, downloaded : 3, downloaded : 4, downloaded : 5, downloaded : 6, downloaded : 7, downloaded : 8]
time taken : 8.0630s
从原始问题海报编辑
感谢这个答案,并通过使用 this website(讨论与 allOf
相关的异常处理),我想出了这个完整的版本:
public CompletableFuture<List<Event>> getFilteredEventsFaster(EventResearch eventResearch) {
/* Collecting the list of all the async requests that build a List<Event>. */
List<CompletableFuture<List<Event>>> completableFutures = eventsResearchApis.stream()
.map(api -> getFilteredEventsAsync(api, eventResearch))
.collect(Collectors.toList());
/* Creating a single Future that contains all the Futures we just created ("flatmap"). */
CompletableFuture<Void> allFutures =CompletableFuture.allOf(completableFutures
.toArray(new CompletableFuture[eventsResearchApis.size()]));
/* When all the Futures have completed, we join them to create merged List<Event>. */
CompletableFuture<List<Event>> allCompletableFutures = allFutures
.thenApply(future -> completableFutures.stream()
.map(CompletableFuture::join)
.flatMap(List::stream) // creating a List<Event> from List<List<Event>>
.collect(Collectors.toList())
);
return allCompletableFutures;
}
private CompletableFuture<List<Event>> getFilteredEventsAsync(UniformEventsResearchApi api,
EventResearch eventResearch) {
/* Manage the Exceptions here to ensure the wrapping Future returns the other calls. */
return CompletableFuture.supplyAsync(() -> api.getFilteredEvents(eventResearch))
.exceptionally(ex -> {
LOGGER.error("Extraction of events from API went wrong: ", ex);
return Collections.emptyList(); // gets managed in the wrapping Future
});
}
我正在努力使对多个 API 的调用更快。
在下面的代码中,getFilteredEvents
是当前同步的版本。我感觉 map(x -> x.getFilteredEvents(eventResearch))
操作将等待每个 API 的响应(它在内部使用 RestTemplate.exchange()
),然后再传递到下一个以构建我认为的 List<Event>
想要return。一个解决方案可能是在单独的线程上启动 map
调用,但我想尝试 CompletableFuture
API.
因此,getFilteredEventsFaster
是我努力改善响应时间的结果。
@Service
public class EventsResearchService {
@Autowired
private List<UniformEventsResearchApi> eventsResearchApis;
// this works, but I'm trying to improve it
public EventResearchResponse getFilteredEvents(EventResearch eventResearch) {
List<Event> eventsList = eventsResearchApis
.stream()
.map(x -> x.getFilteredEvents(eventResearch))
.flatMap(List::stream)
.collect(Collectors.toList());
return extractResponse(eventResearch, eventsList);
}
// this doesn't work yet: what is wrong?
public CompletableFuture<List<Event>> getFilteredEventsFaster(EventResearch eventResearch) {
List<CompletableFuture<List<Event>>> futureEventsList = eventsResearchApis
.parallelStream()
.map(x -> CompletableFuture.supplyAsync(() -> x.getFilteredEvents(eventResearch)))
.collect(Collectors.toList());
return CompletableFuture.allOf(futureEventsList.toArray(new CompletableFuture<List<Event>>[0]));
}
}
我的理解是我想将 CompletableFuture<List<Event>>
发送回我的前端,而不是 List<CompletableFuture<List<Event>>>
,因此 CompletableFuture.allOf()
调用(如果我理解正确的话,类似于 flatmap
操作,从多个 CompleteableFuture
s.
CompletableFuture
不幸的是,我在使用 new CompletableFuture<List<Event>>[0]
.
Generic array creation
编译错误
我做错了什么?
我感觉使用join
方法确实可以让我收集所有的答案,但那将是对我的服务线程的阻塞操作,不是吗? (如果我理解正确的话,这会破坏尝试 return 一个 CompletableFuture
到我的前端的目的。)
以下代码片段显示了使用 listOfFutures.stream().map(CompletableFuture::join)
收集 allOF
的结果。我从 this page 中获取了这个例子,它声明它不会等待每个 Future 完成。
class Test {
public static void main(String[] args) throws Exception {
long millisBefore = System.currentTimeMillis();
List<String> strings = Arrays.asList("1","2", "3", "4", "5", "6", "7", "8");
List<CompletableFuture<String>> listOfFutures = strings.stream().map(Test::downloadWebPage).collect(toList());
CompletableFuture<List<String>> futureOfList = CompletableFuture
.allOf(listOfFutures.toArray(new CompletableFuture[0]))
.thenApply(v -> listOfFutures.stream().map(CompletableFuture::join).collect(toList()));
System.out.println(futureOfList.get()); // blocks here
System.out.printf("time taken : %.4fs\n", (System.currentTimeMillis() - millisBefore)/1000d);
}
private static CompletableFuture<String> downloadWebPage(String webPageLink) {
return CompletableFuture.supplyAsync( () ->{
try { TimeUnit.SECONDS.sleep(4); }
catch (Exception io){ throw new RuntimeException(io); }
finally { return "downloaded : "+ webPageLink; }
});
}
}
由于效率似乎是这里的问题,我提供了一个虚拟基准测试来证明它不需要 32 秒来执行。
输出:
[downloaded : 1, downloaded : 2, downloaded : 3, downloaded : 4, downloaded : 5, downloaded : 6, downloaded : 7, downloaded : 8]
time taken : 8.0630s
从原始问题海报编辑
感谢这个答案,并通过使用 this website(讨论与 allOf
相关的异常处理),我想出了这个完整的版本:
public CompletableFuture<List<Event>> getFilteredEventsFaster(EventResearch eventResearch) {
/* Collecting the list of all the async requests that build a List<Event>. */
List<CompletableFuture<List<Event>>> completableFutures = eventsResearchApis.stream()
.map(api -> getFilteredEventsAsync(api, eventResearch))
.collect(Collectors.toList());
/* Creating a single Future that contains all the Futures we just created ("flatmap"). */
CompletableFuture<Void> allFutures =CompletableFuture.allOf(completableFutures
.toArray(new CompletableFuture[eventsResearchApis.size()]));
/* When all the Futures have completed, we join them to create merged List<Event>. */
CompletableFuture<List<Event>> allCompletableFutures = allFutures
.thenApply(future -> completableFutures.stream()
.map(CompletableFuture::join)
.flatMap(List::stream) // creating a List<Event> from List<List<Event>>
.collect(Collectors.toList())
);
return allCompletableFutures;
}
private CompletableFuture<List<Event>> getFilteredEventsAsync(UniformEventsResearchApi api,
EventResearch eventResearch) {
/* Manage the Exceptions here to ensure the wrapping Future returns the other calls. */
return CompletableFuture.supplyAsync(() -> api.getFilteredEvents(eventResearch))
.exceptionally(ex -> {
LOGGER.error("Extraction of events from API went wrong: ", ex);
return Collections.emptyList(); // gets managed in the wrapping Future
});
}