I have a datapower mpgw service that takes in JSON POST and GET HTTPs requests. Persistent connections are enabled. It sets the backend url using the dp routing-url variable. How do retries work for this? is there some specific retry setting? does it do retries automatically up to a certain point? what if I don't want it to retry?
The backend app is taking about 1.5 minutes to return 500 when it can't connect, but I want it to return more quickly. I have the "backside timeout" set to 30 seconds. I'm wondering if it's because it's retrying a couple times but I can't find info on how retries are working or configured in this case.
I'm open to more answers, but what i found here looks like it says that with persistent connections enabled, DP will retry after the backend timeout duration up until the duration of the persistent connection timeout.
I think I know what is happening here, but would appreciate a confirmation and/or reading material that can turn that "think" into just "know", actual questions at the end of post in Tl,DR section:
Scenario:
I am in the middle of testing my MVC application for a case where one of the internal components is stalling (timeouts on connections to our database).
On one of my web pages there is a Jquery datatable which queries for an update via ajax every half a second - my current task is to display correct error if that data requests times out. So to test, I made a stored procedure that asks DB server to wait 3 seconds before responding, which is longer than the configured timeout settings - so this guarantees a time out exception for me to trap.
I am testing in Chrome browser, one client. Application is being debugged in VS2013 IIS Express
Problem:
Did not expect the following symptoms to show up when my purposeful slow down is activated:
1) After launching the page with the rigged datatable, application slowed down in handling of all requests from the client browser - there are 3 other components that send ajax update requests parallel to the one I purposefully broke, and this same slow down also applied to any actions I made in the web application that would generate a request (like navigating to other pages). The browser's debugger showed the requests were being sent on time, but the corresponding break points on the server side were getting hit much later (delays of over 10 seconds to even a several minutes)
2) My server kept processing requests even after I close the tab with the application. I closed the browser, I made sure that the chrome.exe process is terminated, but breakpoints on various Controller actions were still getting hit for 20 minutes afterward - mostly on the actions that were "triggered" by automatically looping ajax requests from several pages I was trying to visit during my tests. Also breakpoints were hit on main pages I was trying to navigate to. On second test I used RawCap monitor the loopback interface to make sure that there was nothing actually making requests still running in the background.
Theory I would like confirmed or denied with an alternate explanation:
So the above scenario was making looped requests at a frequency that the server couldn't handle - the client datatable loop was sending them every .5 seconds, and each one would take at least 3 seconds to generate the timeout. And obviously somewhere in IIS express there has to be a limit of how many concurrent requests it is able to handle...
What was a surprise for me was that I sort of assumed that if that limit (which I also assumed to exist) was reached, then requests would be denied - instead it appears they were queued for an absolutely useless amount of time to be processed later - I mean, under what scenario would it be useful to process a queued web request half an hour later?
So my questions so far are these:
Tl,DR questions:
Does IIS Express (that comes with Visual Studio 2013) have a concurrent connection limit?
If yes :
{
Is this limit configurable somewhere, and if yes, where?
How does IIS express handle situations where that limit is reached - is that handling also configurable somewhere? ( i mean like queueing vs. immediate error like server is busy)
}
If no:
{
How does the server handle scenarios when requests are coming faster than they can be processed and can that handling be configured anywhere?
}
Here - http://www.iis.net/learn/install/installing-iis-7/iis-features-and-vista-editions
I found that IIS7 at least allowed unlimited number of silmulatneous connections, but how does that actually work if the server is just not fast enough to process all requests? Can a limit be configured anywhere, as well as handling of that limit being reached?
Would appreciate any links to online reading material on the above.
First, here's a brief web server 101. Production-class web servers are multithreaded, and roughly one thread = one request. You'll typically see some sort of setting for your web server called its "max requests", and this, again, roughly corresponds to how many threads it can spawn. Each thread has overhead in terms of CPU and RAM, so there's a very real upward limit to how many a web server can spawn given the resources the machine it's running on has.
When a web server reaches this limit, it does not start denying requests, but rather queues requests to handled once threads free up. For example, if a web server has a max requests of 1000 (typical) and it suddenly gets bombarded with 1500 requests. The first 1000 will be handled immediately and the further 500 will be queued until some of the initial requests have been responded to, freeing up threads and allowing some of the queued requests to be processed.
A related topic area here is async, which in the context of a web application, allows threads to be returned to the "pool" when they're in a wait-state. For example, if you were talking to an API, there's a period of waiting, usually due to network latency, between sending the request and getting a response from the API. If you handled this asynchronously, then during that period, the thread could be returned to the pool to handle other requests (like those 500 queued up requests from the previous example). When the API finally responded, a thread would be returned to finish processing the request. Async allows the server to handle resources more efficiently by using threads that otherwise would be idle to handle new requests.
Then, there's the concept of client-server. In protocols like HTTP, the client makes a request and the server responds to that request. However, there's no persistent connection between the two. (This is somewhat untrue as of HTTP 1.1. Connections between the client and server are sometimes persisted, but this is only to allow faster future requests/responses, as the time it takes to initiate the connection is not a factor. However, there's no real persistent communication about the status of the client/server still in this scenario). The main point here is that if a client, like a web browser, sends a request to the server, and then the client is closed (such as closing the tab in the browser), that fact is not communicated to the server. All the server knows is that it received a request and must respond, and respond it will, even though there's technically nothing on the other end to receive it, any more. In other words, just because the browser tab has been closed, doesn't mean that the server will just stop processing the request and move on.
Then there's timeouts. Both clients and servers will have some timeout value they'll abide by. The distributed nature of the Internet (enabled by protocols like TCP/IP and HTTP), means that nodes in the network are assumed to be transient. There's no persistent connection (aside from the same note above) and network interruptions could occur between the client making a request and the server responding to the request. If the client/server did not plan for this, they could simply sit there forever waiting. However, these timeouts are can vary widely. A server will usually timeout in responding to a request within 30 seconds (though it could potentially be set indefinitely). Clients like web browsers tend to be a bit more forgiving, having timeouts of 2 minutes or longer in some cases. When the server hits its timeout, the request will be aborted. Depending on why the timeout occurred the client may receive various error responses. When the client times out, however, there's usually no notification to the server. That means that if the server's timeout is higher than the client's, the server will continue trying to respond, even though the client has already moved on. Closing a browser tab could be considered an immediate client timeout, but again, the server is none the wiser and keeps trying to do its job.
So, what all this boils down is this. First, when doing long-polling (which is what you're doing by submitting an AJAX request repeatedly per some interval of time), you need to build in a cancellation scheme. For example, if the last 5 requests have timed out, you should stop polling at least for some period of time. Even better would be to have the response of one AJAX request initiate the next. So, instead of using something like setInterval, you could use setTimeout and have the AJAX callback initiate it. That way, the requests only continue if the chain is unbroken. If one AJAX request fails, the polling stops immediately. However, in that scenario, you may need some fallback to re-initiate the request chain after some period of time. This prevents bombarding your already failing server endlessly with new requests. Also, there should always be some upward limit of the time polling should continue. If the user leaves the tab open for days, not using it, should you really keep polling the server for all that time?
On the server-side, you can use async with cancellation tokens. This does two things: 1) it gives your server a little more breathing room to handle more requests and 2) it provides a way to unwind the request if some portion of it should time out. More information about that can be found at: http://www.asp.net/mvc/overview/performance/using-asynchronous-methods-in-aspnet-mvc-4#CancelToken
We are using application request routing with 5 servers running IIS 7.5 and have just recently implemented a messaging system using SignalR in our application.
The SignalR connections are working as we expect (with the only drawback being that a message sent from one server doesn't get activated on the other 4).
The problem(?) we are having is that the Response Time of some requests on IIS that are shown in the load balancer (ARR) are coming up as 2-3 minutes sometimes, which I am assuming are because of connections using something like long-polling.
Our ARR is set to load balance using lowest response time, but it seems like this metric will be completely incorrect because of these SignalR connections. Is there any way to fix these connections so they don't get used in the ARR calculation for response time? Are we stuck having to move the SignalR messages to a separate server to avoid this type of thing (which admittedly would solve other things as well)?
I think the article below will help you. Try setting the "response buffer threshold" to 0 in ARR
http://matthewmanela.com/blog/using-signalr-in-an-arr-cluster/
Our front-end MVC3 web application is using AsyncController, because each of our instances is servicing many hundreds of long-running, IO bound processes.
Since Azure will terminate "inactive" http sessions after some pre-determined interval (which seems to vary depending up on what website you read), how can we keep the connections alive?
Our clients MUST stay connected, and our processes will run from 30 seconds to 5 minutes or more. How can we keep the client connected/alive? I initially thought of having a timeout on the Async method, and just hitting the Response object with a few bytes of output, sort of like chunking the response, and then going back and waiting some more. However, I don't think this will work, since MVC3 is handling the hookup of an IIS thread back to the asynchronous response, which will have already rendered a view at that time.
How can we run a really long process on an AsyncController, but have the client not be disconnected by the Azure Load Balancer? Sending an immediate response to the caller, and asking that caller to poll or check another resource URL is not acceptable.
Azure load balancer idle time-out is 4 minutes. Can you try to configure TCP keep-alive on the client side for less than 4 minutes, that should keep the connection alive?
On the other hand, it's pretty expensive to keep a connection open per client for a long time. This will limit the number of clients you can handle per server. Also, I think IIS may still decide to close a connection regardless of keep-alives if it thinks it need the connection to serve other requests.
We have a servlet that accepts requests and performs certain actions on external systems. Many times these external systems respond slowly and the requests take longer than 60 seconds. In the log we notice that exactly after 60 seconds a new request is made to the servlet (with the same post parameters) as long as the client is still connected.
Googling found that the same is reported on other App Servers such as Glassfish etc. The reason seems to be that after a timeout of 60 seconds the servlet or the web container are timing out the call and repeating the request. Note that this seems to be a servlet or container initiated refresh and not really posted from the client. Way to avoid this is to apparently increase the timeout. (Read more here on a similar issue: Java - multiple requests from two WebContainer threads)
I increased the connectionTimeout in the deploy/jbossweb.sar/server.xml to 120000 (2 minutes) but the call repeats exactly after 60 seconds still.
Any idea how to increase the timeout or to avoid this behaviour in JBoss?
Thanks
Srini
Found the issue. The problem was not to do with JBoss at all. Our JBoss servers run on Amazon EC2 instances and are behind an ELB load balancer. The AWS ELB load balancer timesout after every 60 seconds of idle time and resubmits the request.