throttling

I think RxJS should perfectly fit to supress dublicate button clicks for 2 seconds. However, Im struggleing with the implementation. var $button = $('#myButton').button(); $button .toObservable("click") //.Throttle(2000) // Wouldn't fire the first event instantly :-( .Subscribe(function(){ alert('clicked'); }); I already created a jsFiddle for your convenience. You need to scroll down in this fiddle, because I just pasted Rx inside as I couldn't find a CDN. http://jsfiddle.net/cburgdorf/mUMFA/2/ I converted Sergeys answer into JavaScript and think this should be the final way to go. var

I have the below code for returning back an instance of my WCF Service ServiceClient : var readerQuotas = new XmlDictionaryReaderQuotas() { MaxDepth = 6000000, MaxStringContentLength = 6000000, MaxArrayLength = 6000000, MaxBytesPerRead = 6000000, MaxNameTableCharCount = 6000000 }; var throttlingBehaviour = new ServiceThrottlingBehavior(){MaxConcurrentCalls=500,MaxConcurrentInstances=500,MaxConcurrentSessions = 500}; binding = new WSHttpBinding(SecurityMode.None) {MaxReceivedMessageSize = 6000000, ReaderQuotas = readerQuotas}; dualBinding = new WSDualHttpBinding(WSDualHttpSecurityMode.None)

Scenario : I am building a UI application that gets notifcations from a backend service every few milliseconds. Once I get a new notification i want to update the UI as soon as possible. As I can get lots of notifications within a short amount of time, and as I always only care about the latest event, I use the Throttle() method of the Reactive Extensions framework. This allows me to ignore notification events that are immediately followed by a new notification and so my UI stays responsive. Problem: Say I throttle the event stream of notification events to 50ms and the backend sends a

I was just wondering if there is an elegant way to set the maximum CPU load for a particular thread doing intensive calculations. Right now I have located the most time consuming loop in the thread (it does only compression) and use GetTickCount() and Sleep() with hardcoded values. It makes sure that the loop continues for a certain period of time and than sleeps for a certain minimal time. It more or less does the job i.e. guarantees that the thread will not use more than 50% of CPU. However behavior is dependent on the number of CPU cores (huge disadvantage) and simply ugly (smaller

We are tracking Facebook Page and Post metrics for a number of clients, and we have some questions regarding high CPU intensity and too many calls for Post/comments - according to what is being reported by the developer insights console (Insights -> Developer -> Activity & Errors). The documentation is somewhat unclear on the limits and restrictions for the Graph API, and we'd simply like to make sure we have the correct understanding of what resources we have available. We are working on optimizing our software and queries to decrease the error rate and number of requests. Related to this

I'd like to be able to throttle login attempts based on failed attempts but I got some questions. Should I use MySQL? (read that it could strain the DB) Should I throttle per user and system-wide or just system-wide? (so to stop normal people from guessing passwords) How should I calculate my threshold? (so it automatically adapts to changes/growth) How should I retrieve this threshold? Query/calculate on every fail or store on cache? What should I use to throttle? (read a response that sleep() could end up straining the server) Does anybody have some sample code? I'm quite new at this so I

I'm attempting to iteratively retrieve the content from the O365 management API (found here ). When I get to the 'Retrieving Content' section, I am making a get request using the URI returned from the 'Get Available Content' method. I am able to successfully iterate over the available content using the returned URI, but I am seeing the following message appear occasionally: {"error": {"message": "Too many requests. Method=GetBlob, PublisherId=00000000-0000-0000-0000-000000000000", "code": "AF429"}} This indicates a throttling error, as mentioned at the bottom of the documentation, but when I