concurrency

问题 With the help of Google and community, I was able to build a nice set of methods allowing me to asynchronously call a function. This function is testing remote host properties, so it is idling most of the time. For this reason I would like to maximize the number of concurrent threads launched such that all calls can be processed in the minimum amount of time. Here is the Code I have so far: // Check remote host connectivity public static class CheckRemoteHost { // Private Class members

问题 When I click on 'Place Order' I have begun the transaction and set the column is_payment_processing to True before taking the user to the merchant website and then there could be three possibilities: User landed on success callback page User landed on failure callback page User landed neither on success nor on failure callback coz he closed the window. In Third Scenario: The product will remain in the state where is_payment_processing is True. And, other users who attempt to check out the

问题 I come from a C# background and I have a bit of a tough time with concurrency in C. I am not going to lie to you... This is part of a project I have to do for school. Although professionally I have worked with high level languages, my senior thesis professor threw us under the bus by forcing the entire class to code in C (which most of us have little to no experience with... :( ). Either case, back to the problem. I have a global integer variable (starting from 0) which needs to be

问题 So let's say I have a class X with a method m. Method m is NOT synchronized and it doesn't need to be since it doesn't really change the state of the object x of type X. In some threads I call the method like this: x.m(). All these threads use the same object x. By how many threads can be this method (method m) called on object x simultaneously? Can be the fact that the method is called by, let's say, 100 threads a bottleneck for my application? thanks. 回答1: Other's have answered your direct

问题 First I'll describe my case. I have to do HTTPS requests to several APIs from my application and they should be ran concurrently. I want to know if I should use a separate HTTP client per goroutine or I can share one client across all goroutines. Of course I'd like to enjoy connection reusing/pooling offered by the HTTP client, but I am concerned about it being thread(aka goroutine)-safe and if the client will run requests concurrently or they'll in fact be sequenced? 回答1: Http clients are

问题 My understanding of Akka is that it provides a model whereby multiple, isolated threads can communicate with each other in a highly concurrent fashion. It uses the "actor model", where each thread is an "actor" with a specific job to do. You can orchestrate which messages get passed to which actors under what conditions. I've used Camel before, and to me, I feel like it's sort of lost its luster/utility now that Akka is so mature and well documented. As I understand it, Camel is about

问题 I have a customer who's stuck in an EJB 3.0 environment. No @Singleton, no bean-managed concurrency :-( Considering thread management and synchronization is forbidden by the ejb specification, how to implement a cache? In essence, I want an non-synchronized object cache for some costly operations. 回答1: The restriction of using static field and synchronization is stated in EJB 3.0 spec chapter 21.1.2. It also explains why. • An enterprise bean must not use read/write static fields. Using read

问题 I'm attempting to measure the time spent in a thread for progress reporting purposes, but I'm getting very strange results from from the GetThreadTimes system call. Given the following program (compiled in VS 2013, targeting .NET 4.5): using System; using System.Diagnostics; using System.Runtime.InteropServices; using System.Threading; namespace ThreadTimingTest { class Program { static Stopwatch _wallClockTimer; static System.Timers.Timer _timer = new System.Timers.Timer(); private static

问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 3 years ago . I have 4 machine learning models of size 2GB each, i.e. 8GB in total. I am getting requests around 100 requests at a time. Each request is taking around 1sec . I have a machine having 15GB RAM . Now if I increase the number of workers in Gunicorn, total memory consumption go high.

问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 3 years ago . I have 4 machine learning models of size 2GB each, i.e. 8GB in total. I am getting requests around 100 requests at a time. Each request is taking around 1sec . I have a machine having 15GB RAM . Now if I increase the number of workers in Gunicorn, total memory consumption go high.