ASP.NET Development Server concurrent processing doesn’t work
I’m trying to find out why ASP.NET Development Server is not processing the requests concurrently.
concurrency
OptimisticConcurrencyException Does Not Work in Entity Framework In Certain Situations
UPDATE (2010-12-21): Completely rewrote this question based on tests that I’ve been doing. Also, this used to be a POCO specific question, but it turns out that my question isn’t necessarily POCO specific.
Is it possible to force request concurrency when using ASP.NET sessions?
ASP.NET does not allow concurrent requests for the same session; meaning that a user can only make 1 request at a time.
What is the fastest way to send 100,000 HTTP requests in Python?
I am opening a file which has 100,000 URL’s. I need to send an HTTP request to each URL and print the status code. I am using Python 2.6, and so far looked at the many confusing ways Python implements threading/concurrency. I have even looked at the python concurrence library, but cannot figure out how to write this program correctly. Has anyone come across a similar problem? I guess generally I need to know how to perform thousands of tasks in Python as fast as possible – I suppose that means ‘concurrently’.
multiprocessing.Pool: When to use apply, apply_async or map?
I have not seen clear examples with use-cases for Pool.apply, Pool.apply_async and Pool.map. I am mainly using Pool.map; what are the advantages of others?
Executing multiple functions simultaneously
I’m trying to run two functions simultaneously in Python. I have tried the below code which uses multiprocessing but when I execute the code, the second function starts only after the first is done.
How to limit concurrency with Python asyncio?
Let’s assume we have a bunch of links to download and each of the link may take a different amount of time to download. And I’m allowed to download using utmost 3 connections only. Now, I want to ensure that I do this efficiently using asyncio.
Solving embarassingly parallel problems using Python multiprocessing
How does one use multiprocessing to tackle embarrassingly parallel problems?
Log output of multiprocessing.Process
Is there a way to log the stdout output from a given Process when using the multiprocessing.Process class in python?
Python urllib2.urlopen() is slow, need a better way to read several urls
As the title suggests, I’m working on a site written in python and it makes several calls to the urllib2 module to read websites. I then parse them with BeautifulSoup.