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Handle high number of traditional synchronous/blocking HTTP client requests with few threads Java?

I am working with Java. Another software developer has provided me his code performing synchronous HTTP calls and is responsible of maintaining it - he is using com.google.api.client.http. Updating his code to use an asynchronous HTTP client with a callback is not an available option, and I can't contact the developer to make changes to it. But I still want the efficient asynchronous behaviour of attaching a callback to an HTTP request.
(I am working in Spring Boot and my system is built using RabbitMQ AMQP if it has any effect.)
The simple HTTP GET (it is actually an API call) is performed as follows:
HttpResponse<String> response = httpClient.send(request, BodyHandlers.ofString());
This server I'm communicating with via HTTP takes some time to reply back... say 3-4 seconds. So my thread of execution is blocked for this duration, waiting for a reply. This scales very poorly, my single thread isn't doing is just waiting back for a reply to arrive - this is very heavy.
Sure, I can add the number of threads performing this call if I want to send more HTTP requests concurrently, i.e. I can scale in that way, but this doesn't sound efficient or correct. If possible, I would really like to get a better ratio than 1 thread waiting for 1 HTTP request in this situation.
In other words, I want to send thousands of HTTP requests with 2-3 available threads and handle the response once it arrives; I don't want to incur any significant delay between the execution of each request.
I was wondering: how can I achieve a more scalable solution? How can I handle thousands of this HTTP call per thread? What should I be looking at or do I just have no options and I am asking for the impossible?
EDIT: I guess this is another way to phrase my problem. Assume I have 1000 requests to be sent right now, each will last 3-4 seconds, but only 4-5 available threads of execution on which to send them. I would like to send them all at the same time, but that's not possible; if I manage to send them ALL within the span of 0.5s or less and handle their requests via some callback or something like that, I would consider that a great solution. But I can't switch to an asynchronous HTTP client library.

Using an asynchronous HTTP client is not an available option - I can't change my HTTP client library.
In that case, I think you are stuck with non-scalable synchronous behavior on the client side.
The only work-around I can think of is to run your requests as tasks in an ExecutorService with a bounded thread pool. That will limit the number of threads that are used ... but will also limit the number of simultaneous HTTP requests in play. This is replacing one scaling problem with another one: you are effectively rate-limiting your HTTP requests.
But the flip-side is that launching too many simultaneous HTTP requests is liable to overwhelm the target service(s) and / or the client or server-side network links. From that perspective, client-side rate limiting could be a good thing.
Assume I have 1000 requests to be sent right now, each will last 3-4 seconds, but only 4-5 available threads of execution on which to send them. I would like to send them all at the same time, but that's not possible; if I manage to send them ALL within the span of 0.5s or less and handle their requests via some callback or something like that, I would consider that a great solution. But I can't switch to an asynchronous HTTP client.
The only way you are going to be able to run > N requests at the same time with N threads is to use an asynchronous client. Period.
And "... callback or something like that ...". That's a feature you will only get with an asynchronous client. (Or more precisely, you can only get real asynchronous behavior via callbacks if there is a real asynchronous client library under the hood.)
So the solution is akin to sending the HTTP requests in a staggering manner i.e. some delay between one request and another, where each delay is limited by the number of available threads? If the delay between each request is not significant, I can find that acceptable, but I am assuming it would be a rather large delay between the time each thread is executed as each thread has to wait for each other to finish (3-4s)? In that case, it's not what I want.
With my proposed work-around, the delay between any two requests is difficult to quantify. However, if you are trying to submit a large number of requests at the same time and wait for all of the responses, then the delay between individual requests is not relevant. For that scenario, the relevant measure is the time taken to complete all of the requests. Assuming that nothing else is submitting to the executor, the time taken to complete the requests will be approximately:
nos_requests * average_request_time / nos_worker_threads
The other thing to note is that if you did manage to submit a huge number of requests simultaneously, the server delay of 3-4s per request is liable to increase. The server will only have the capacity to process a certain number of requests per second. If that capacity is exceeded, requests will either be delayed or dropped.
But if there are no other options.
I suppose, you could consider changing your server API so that you can submit multiple "requests" in a single HTTP request.
I think that the real problem here is there is a mismatch between what the server API was designed to support, and what you are trying to do with it.
And there is definitely a problem with this:
Another software developer has provided me his code performing synchronous HTTP calls and is responsible of maintaining it - he is using com.google.api.client.http. Updating his code to use an asynchronous HTTP client with a callback is not an available option, and I can't contact the developer to make changes to it.
Perhaps you need to "bite the bullet" and stop using his code. Work out what it is doing and replace it with your own implementation.
There is no magic pixie dust that will give scalable performance from a synchronous HTTP client. Period.

Java Long Polling: Separate Thread?

Because of browser compatibility issues, I have decided to use long polling for a real time syncing and notification system. I use Java on the backend and all of the examples I've found thus far have been PHP. They tend to use while loops and a sleep method. How do I replicate this sort of thing in Java? There is a Thread.sleep() method, which leads me to...should I be using a separate thread for each user issuing a poll? If I don't use a separate thread, will the polling requests be blocking up the server?

[Update]
First of all, yes it is certainly possible to do a straightforward, long polling request handler. The request comes in to the server, then in your handler you loop or block until the information you need is available, then you end the loop and provide the information. Just realize that for each long polling client, yes you will be tying up a thread. This may be fine and perhaps this is the way you should start. However - if your web server is becoming so popular that the sheer number of blocking threads is becoming a performance problem, consider an asynchronous solution where you can keep a large numbers of client requests pending - their request is blocking, that is not responding until there is useful data, without tying up one or more threads per client.
[original]
The servlet 3.0 spec provides a standard for doing this kind asynchronous processing. Google "servlet 3.0 async". Tomcat 7 supports this. I'm guessing Jetty does also, but I have not used it.
Basically in your servlet request handler, when you realize you need to do some "long" polling, you can call a method to create an asynchronous context. Then you can exit the request handler and your thread is freed up, however the client is still blocking on the request. There is no need for any sleep or wait.
The trick is storing the async context somewhere "convenient". Then something happens in your app and you want to push data to the client, you go find that context, get the response object from it, write your content and invoke complete. The response is sent back to the client without you having to tie up a thread for each client.

Not sure this is the best solution for what you want but usually if you want to do this at period intervals in java you use the ScheduleExecutorService. There is a good example at the top of the API document. The TimeUnit is a great enum as you can specify the period time easily and clearly. So you can specify it to run every x minutes, hours etc

Synchronous, Asynchronous and Command Client Requests with GWT and GAE

In designing my GWT/GAE app, it has become evident to me that my client-side (GWT) will be generating three types of requests:
Synchronous - "answer me right now! I'm important and require a real-time response!!!"
Asynchronous - "answer me when you can; I need to know the answer at some point but it's really not all that ugent."
Command - "I don't need an answer. This isn't really a request, it's just a command to do something or process something on the server-side."
My game plan is to implement my GWT code so that I can specify, for each specific server-side request (note: I've decided to go with RequestFactory over traditional GWT-RPC for reasons outside the scope of this question), which type of request it is:
SynchronousRequest - Synchronous (from above); sends a command and eagerly awaits a response that it then uses to update the client's state somehow
AsynchronousRequest - Asynchronous (from above); makes an initial request and somehow - either through polling or the GAE Channel API, is notified when the response is finally received
CommandRequest - Command (from above); makes a server-side request and does not wait for a response (even if the server fails to, or refuses to, oblige the command)
I guess my intention with SynchronousRequest is not to produce a totally blocking request, however it may block the user's ability to interact with a specific Widget or portion of the screen.
The added kicker here is this: GAE strongly enforces a timeout on all of its frontend instances (60 seconds). Backend instances have much more relaxed constraints for timeouts, threading, etc. So it is obvious to me that AsynchronousRequests and CommandRequests should be routed to backend instances so that GAE timeouts do not become an issue with them.
However, if GAE is behaving badly, or if we're hitting peak traffic, or if my code just plain sucks, I have to account for the scenario where a SynchronousRequest is made (which would have to go through a timeout-regulated frontend instance) and will timeout unless my GAE server code does something fancy. I know there is a method in the GAE API that I can call to see how many milliseconds a request has before its about to timeout; but although the name of it escapes me right now, it's what this "fancy" code would be based off of. Let's call it public static long GAE.timeLeftOnRequestInMillis() for the sake of this question.
In this scenario, I'd like to detect that a SynchronousRequest is about to timeout, and somehow dynamically convert it into an AsynchronousRequest so that it doesn't time out. Perhaps this means sending an AboutToTimeoutResponse back to the client, and force the client to decide about whether to resend as an AsynchronousRequest or just fail. Or perhaps we can just transform the SynchronousRequest into an AsynchronousRequest and push it to a queue where a backend instance will consume it, process it and return a response. I don't have any preferences when it comes to implementation, so long as the request doesn't fail or timeout because the server couldn't handle it fast enough (because of GAE-imposed regulations).
So then, here is what I'm actually asking here:
How can I wrap a RequestFactory call inside SynchronousRequest, AsynchronousRequest and CommandRequest in such a way that the RequestFactory call behaves the way each of them is intended? In other words, so that the call either partially-blocks (synchronous), can be notified/updated at some point down the road (asynchronous), or can just fire-and-forget (command)?
How can I implement my requirement to let a SynchronousRequest bypass GAE's 60-second timeout and still get processed without failing?
Please note: timeout issues are easily circumvented by re-routing things to backend instances, but backends don't/can't scale. I need scalability here as well (that's primarily why I'm on GAE in the first place!) - so I need a solution that deals with scalable frontend instances and their timeouts. Thanks in advance!

If the computation that you want GAE to do is going to take longer than 60 seconds, then don't wait for the results to be computed before sending a response. According to your problem definition, there is no way to get around this. Instead, clients should submit work orders, and wait for a notification from the server when the results are ready. Requests would consist of work orders, which might look something like this:
class ComputeDigitsOfPiWorkOrder {
// parameters for the computation
int numberOfDigitsToCompute;
// Used by the GAE app to contact the requester when results are ready.
ClientId clientId;
}
This way, your GAE app can respond as soon as the work order is saved (e.g. in Task Queue), and doesn't have to wait until it actually finishes calculating a billion digits of pi before responding. Your GWT client then waits for the result using the Channel API.
In order to give some work orders higher priority, you can use multiple task queues. If you want Task Queue work to scale automatically, you'll want to use push queues. Implementing priority using push queues is a little tricky, but you can configure high priority queues to have faster feed rate.
You could replace Channel API with some other notification solution, but that would probably be the most straightforward.

Is MQ publish/subscribe domain-specific interface generally faster than point-to-point?

I'm working on the existing application that uses transport layer with point-to-point MQ communication.
For each of the given list of accounts we need to retrieve some information.
Currently we have something like this to communicate with MQ:
responseObject getInfo(requestObject){
code to send message to MQ
code to retrieve message from MQ
}
As you can see we wait until it finishes completely before proceeding to the next account.
Due to performance issues we need to rework it.
There are 2 possible scenarios that I can think off at the moment.
1) Within an application to create a bunch of threads that would execute transport adapter for each account. Then get data from each task. I prefer this method, but some of the team members argue that transport layer is a better place for such change and we should place extra load on MQ instead of our application.
2) Rework transport layer to use publish/subscribe model.
Ideally I want something like this:
void send (requestObject){
code to send message to MQ
}
responseObject receive()
{
code to retrieve message from MQ
}
Then I will just send requests in the loop, and later retrieve data in the loop. The idea is that while first request is being processed by the back end system we don't have to wait for the response, but instead send next request.
My question, is it going to be a lot faster than current sequential retrieval?

The question title frames this as a choice between P2P and pub/sub but the question body frames it as a choice between threaded and pipelined processing. These are two completely different things.
Either code snippet provided could just as easily use P2P or pub/sub to put and get messages. The decision should not be based on speed but rather whether the interface in question requires a single message to be delivered to multiple receivers. If the answer is no then you probably want to stick with point-to-point, regardless of your application's threading model.
And, incidentally, the answer to the question posed in the title is "no." When you use the point-to-point model your messages resolve immediately to a destination or transmit queue and WebSphere MQ routes them from there. With pub/sub your message is handed off to an internal broker process that resolves zero to many possible destinations. Only after this step does the published message get put on a queue where, for the remainder of it's journey, it then is handled like any other point-to-point message. Although pub/sub is not normally noticeably slower than point-to-point the code path is longer and therefore, all other things being equal, it will add a bit more latency.
The other part of the question is about parallelism. You proposed either spinning up many threads or breaking the app up so that requests and replies are handled separately. A third option is to have multiple application instances running. You can combine any or all of these in your design. For example, you can spin up multiple request threads and multiple reply threads and then have application instances processing against multiple queue managers.
The key to this question is whether the messages have affinity to each other, to order dependencies or to the application instance or thread which created them. For example, if I am responding to an HTTP request with a request/reply then the thread attached to the HTTP session probably needs to be the one to receive the reply. But if the reply is truly asynchronous and all I need to do is update a database with the response data then having separate request and reply threads is helpful.
In either case, the ability to dynamically spin up or down the number of instances is helpful in managing peak workloads. If this is accomplished with threading alone then your performance scalability is bound to the upper limit of a single server. If this is accomplished by spinning up new application instances on the same or different server/QMgr then you get both scalability and workload balancing.
Please see the following article for more thoughts on these subjects: Mission:Messaging: Migration, failover, and scaling in a WebSphere MQ cluster
Also, go to the WebSphere MQ SupportPacs page and look for the Performance SupportPac for your platform and WMQ version. These are the ones with names beginning with MP**. These will show you the performance characteristics as the number of connected application instances varies.

It doesn't sound like you're thinking about this the right way. Regardless of the model you use (point-to-point or publish/subscribe), if your performance is bounded by a slow back-end system, neither will help speed up the process. If, however, you could theoretically issue more than one request at a time against the back-end system and expect to see a speed up, then you still don't really care if you do point-to-point or publish/subscribe. What you really care about is synchronous vs. asynchronous.
Your current approach for retrieving the data is clearly synchronous: you send the request message, and wait for the corresponding response message. You could do your communication asynchronously if you simply sent all the request messages in a row (perhaps in a loop) in one method, and then had a separate method (preferably on a different thread) monitoring the incoming topic for responses. This would ensure that your code would no longer block on individual requests. (This roughly corresponds to option 2, though without pub/sub.)
I think option 1 could get pretty unwieldly, depending on how many requests you actually have to make, though it, too, could be implemented without switching to a pub/sub channel.

The reworked approach will use fewer threads. Whether that makes the application faster depends on whether the overhead of managing a lot of threads is currently slowing you down. If you have fewer than 1000 threads (this is a very, very rough order-of-magnitude estimate!), i would guess it probably isn't. If you have more than that, it might well be.

Threading in Servlets

I am working on a servlet that can take a few hours to complete the request. However, the client calling the servlet is only interested in knowing whether the request has been received by the servlet or not. The client doesn't want to wait hours before it gets any kind of response from the servlet. Also since calling the servlet is a blocking call, the client cannot proceed until it receives the response from the servlet.
To avoid this, I am thinking of actually launching a new thread in the servlet code. The thread launched by the servlet will do the time consuming processing allowing the servlet to return a response to the client very quickly. But I am not sure if this an acceptable way of working around the blocking nature of servlet calls. I have looked into NIO but it seems like it is not something that is guaranteed to work in any servlet container as the servlet container has be NIO based also.

What you need is a job scheduler because they give assurance that a job will be finished, even in case a server is restarted.
Take a look at java OSS job schedulers, most notably Quartz.

Your solution is correct, but creating threads in enterprise applications is considered a bad practice. Better use a thread pool or JMS queue.
You have to take into account what should happen server goes down during processing, how to react when multiple requests (think: hundreds or even thousands) occur at the same time, etc. So you have chosen the right direction, but it is a bit more complicated.

A thread isn't bad but I recommend throwing this off to an executor pool as a task. Better yet a long running work manager. It's not a bad practice to return quickly like you plan. I would recommend providing some sort of user feedback indicating where the user can find information about the long running job. So:
Create a job representing the work task with a unique ID
Send the job to your background handler object (that contains an executor)
Build a url for the unique job id.
Return a page describing where they can get the result
The page with the result will have to coordinate with this background job manager. While it's computing you can have this page describe the progress. When its done the page can display the results of the long running job.