A simple problem. I have an ASHX handler which generates a report. Unfortunately, this process can take 2 or more minutes to finish and Azure will close the connection before this handler can respond. Why? Because the connection is idle for too long, thus it is killed off.
So, I need to keep this connection alive in some way. To make it a bit more complex, the handler is called from a Silverlight application which will call the handler from a frame on the current webpage or (when not running from a browser) create a new browser instance to call the handler.
My challenge is to get around this timeout with a minimum amount of code. But also, the code needs to work exactly as it does now!
Opening the handler in a separate frame or browser window allows the report to be saved anywhere on the system of the user. If I would download it from within the Silverlight code, I will not have proper write access. There will be no permission given to any Silverlight application that needs to write to the local disk, thus the work-around with the browser/frame.
Not too sure about HTTP transport, but you can certainly use TCP keep-alives at the socket level. However, then you need to create socket listener to download HTTP content (way overkill).
Perhaps there is a much simpler solution? Why don't you have the client make the request to generate the report and have the handler return a SAS signature (time limited, read-only signature) to where the report will eventually be put in blob storage. This is very quick and requires no open TCP connection. The report generator should simply create the report in a file to be downloaded at the blob location it sent to the client (any GUID would work here) instead of streaming it back over the response. Finally, the client just needs to poll the location until it gets a file. Now you are nice and asynchronous with short open connections and don't have to worry about this TCP timeout issue. The code to do this is far, far less complex than anything to work around a TCP timeout.
Related
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
I would want to send a message from the server actively, such as using UDP/TCPIP to a client using an arduino. It is known that this is possible if the user has port forward the specific port to the device on local network. However I wouldn't want to have the user to port forward manually, perhaps using another protocol, will this be possible?
1 Arduino Side
I think the closest you can get to this is opening a connection to the server from the arduino, then use available to wait for the server to stream some data to the arduino. Your code will be polling the open connection, but you are avoiding all the back and forth communications to open and close the connection, passing headers back and forth etc.
2 Server Side
This means the bulk of the work will be on the server side, where you will need to manage open connections so you can instantly write to them when a user triggers some event which requires a message to be pushed to the arduino. How to do this varies a bit depending on what type of server application you are running.
2.1 Node.js "walk-through" of main issues
In Node.js for example, you can res.write() on a connection, without closing it - this should give a similar effect as having an open serial connection to the arduino. That leaves you with the issue of managing the connection - should the server periodically check a database for messages for the arduino? That simply removes one link from the arduino -> server -> database polling link, so we should be able to do better.
We can attach a function triggered by the event of a message being added to the database. Node-orm2 is a database Object Relational Model driver for node.js, and it offers hooks such as afterSave and afterCreate which you can utilize for this type of thing. Depending on your application, you may be better off not using a database at all and simply using javascript objects.
The only remaining issue then, is: once the hook is activated, how do we get the correct connection into scope so we can write to it? Well you can save all the relevant data you have on the request to some global data structure, maybe a dictionary with an arduino ID as index, and in the triggered function you fetch all the data, i.e. the request context and you write to it!
See this blog post for a great example, including node.js code which manages open connections, closing them properly and clearing from memory on timeout etc.
3 Conclusion
I haven't tested this myself - but I plan to since I already have an existing application using arduino and node.js which is currently implemented using normal polling. Hopefully I will get around to it soon and return here with results.
Typically in long-polling (from what I've read) the connection is closed once data is sent back to the client (arduino), although I don't see why this would be necessary. I plan to try keeping the same connection open for multiple messages, only closing after a fixed time interval to re-establish the connection - and I hope to set this interval fairly high, 5-15 minutes maybe.
We use Pubnub to send notifications to a client web browser so a user can know immediately when they have received a "message" and stuff like that. It works great.
This seems to have the same constraints that you are looking at: No static IP, no port forwarding. User can theoretically just plug the thing in...
It looks like Pubnub has an Arduino library:
https://github.com/pubnub/arduino
The blazeds server-side don't know the client-side has disconnected. But it seems to know the client-side's network has down.
In my case, I use the polling channel, I download the blazeds's source code, and add some log output in the FlexClientOutboundQueueProcessor.flush(MessageClient messageClient, List<Message> outboundQueue) method.
Then I saw this, when a client subscibed, the server-side invoke the FlexClientOutboundQueueProcessor.flush method every 3 seconds, and print what I added in the flush method, then I only shut down the client's network, not close browser(client and server with difference network), I found the server-side don't print anything, it means that the server-side don't invoke the flush method.
And after more than 30 minutes I recover the client's network, the server-side continue to invoke the flush method (the client's session isn't destroyed, if I close the client's browser, after 30 minutes the server-side will destroy the session).
Now, I have two questions,:
How the server-side know the client's network has downed? Is there a listener to monitor the client's network? If so, where is it? If not, how and where the codes?
It seems that the server-side will invoke the FlexClientOutboundQueueProcessor.flush method every 3 seconds, can this interval be configured? And where the code to start or stop this timing task?
Here answer on your first question: Detecting (on the server side) when a Flex client disconnects from BlazeDS destination
About configuration. You can configure in services-config.xml.
Example BlazeDS applications
Configuring channels with servlet-based endpoints
I have a desktop client application that is talking to a server application through a REST API using simple HTTP posts. I currently have the client polling every X minutes, but I would like the data to be refreshed more frequently. Is it possible to have the server notify the client of any new data, or is that outside the scope of what an HTTP server is meant to do? Any thoughts on the best way to approach this would be much appreciated. Thanks!
You may want to check the accepted answer to the following Stack Overflow post, which describes with a very basic example how to implement Long Polling using php on the server-side:
Simple “Long Polling” example code
When using Long Polling, your client application starts a request to the HTTP server, with an infinite timeout (or a very long one). Now as soon as new data is available, the server will find an active connection ready, so it can push the data immediately. In traditional polling, you would have to wait until the application initiates a new poll, plus the network latency to reach the server before new data is sent.
Then when the data is sent, the connection is closed, but your application should open a new one immediately in order to have a constantly open connection to the server. Actually there will be a very small gap where there will not be an active connection, but this is often negligible in many applications.
If you hold the HTTP connection open on the server side then you can send data whenever there's an update, followed by flushing the connection to actually send the data. This may cause issues with the TCP/IP stack if tens of thousands of connections are required though.
I'm writing a Comet-like app using Flex on the client and my own hand-written server.
I need to be able to send short bursts of data from the client at quite a high frequency (e.g. of the order of 10ms between sends).
I also need the server to push short bursts of data at a similarly high frequency.
I'm using NetConnection.call() to send the data to the server, and URLStream (with chunked encoding) to push the data from the server to the client.
What I've found is that the data isn't being sent/received as soon as it's available. For example, in IE, it seems the data is sent every 200ms rather than as soon as NetConnection.call() is called. Similarly, URLStream isn't making the data available as soon as the server is sending it.
Judging by the difference in behaviour between the browsers, it seems as though the Flash Player (version 10) is relying on the host browser to do all the comms. Can anyone confirm this? Update: This is very likely as only the host browser would know about the proxy settings that might be set.
I've tried using the Socket class and there's no problem with speed there: it works perfectly. However, I'd like to be able to use HTTP-based (port 80) connections so that my app can run in heavily fire-walled environments (I tried using a Socket over port 80, but that has its problems).
Incidentally, all development/testing has been done on an internal LAN, so bandwidth/latency is not an issue.
Update: The data being sent/received is in small packets and doesn't need to be in any particular format. For example, I might need to send a short array of Numbers, and this could either be encoded in AMF (e.g. via NetConnection.call()) or could be put into GET parameters (e.g. using sendToURL()). The main point of my question is really to see whether anyone else has experienced the same problem in calling NetConnection/URLStream frequently, and whether there is a workaround (it's also possible that the fault lies with my server code of course, rather than Flash).
Thanks.
Turns out the problem had nothing to do with Flash/Flex or any of the host browsers. The problem was in my server code (written in C++ on Linux), and without access to my source code the cause is hard to find (so I couldn't have hoped for an answer from this forum).
Still - thank you everyone who chipped in.
It was only after looking carefully at the output shown in Wireshark that I noticed the problem, which was twofold:
Nagle's algorithm
I was sending replies in multiple packets by calling write() multiple times (e.g. once for the HTTP response header, and again for the HTTP response body). The server's TCP/IP stack was waiting for an ACK for the first packet before sending the second, but because of Nagle's algorithm the client was waiting 200ms before sending back the ACK to the first packet, so the server took at least 200ms to send the full HTTP response.
The solution is to use send() with the flag MSG_MORE until all the logically connected blocks are written. I could also have used writev() or setsockopt() with TCP_CORK, but it suited my existing code better to use send().
Chunk-encoded streams
I'm using a never-ending HTTP response with chunk encoding to push data back to the client. Naggle's algorithm needs to be turned off here because even if each chunk is written as one packet (using MSG_MORE), the client OS TCP/IP stack will still wait up to 200ms before sending back an ACK, and the server can't push a subsequent chunk until it gets that ACK.
The solution here is to ask the server not to wait for an ACK for each sent packet before sending the next packet, and this is done by calling setsockopt() with the TCP_NODELAY flag.
The above solutions only work on Linux and aren't POSIX-compliant (I think), but that isn't a problem for me.
I'm almost 100% sure the player relies on the browser for such communications. Can't find an official page stating so atm, but check this out for example:
Applications hosting the Flash Player
ActiveX control or Flash Player
plug-in can use the
EnforceLocalSecurity and
DisableLocalSecurity API calls to
control security settings.
Which I think somehow implies the idea. Also, I've suffered some network related bugs on FF/IE only which again points out to the player using each browser for networking (otherwise there wouldn't be such differences).
And regarding your latency problem, I think that if speed is critical, your best bet is sockets. You have some work to do, but seems possible, check out the docs again:
This error occurs in SWF content.
Dispatched if a call to
Socket.connect() attempts to connect
either to a server outside the
caller's security sandbox or to a port
lower than 1024. You can work around
either problem by using a cross-domain
policy file on the server.
HTH,
Juan