benchmarking

I'm curious about this. I wanted to check which function was faster, so I create a little code and I executed a lot of times. public static void main(String[] args) { long ts; String c = "sgfrt34tdfg34"; ts = System.currentTimeMillis(); for (int k = 0; k < 10000000; k++) { c.getBytes(); } System.out.println("t1->" + (System.currentTimeMillis() - ts)); ts = System.currentTimeMillis(); for (int i = 0; i < 10000000; i++) { Bytes.toBytes(c); } System.out.println("t2->" + (System.currentTimeMillis() - ts)); } The "second" loop is faster, so, I thought that Bytes class from hadoop was faster than

How does the Requests library compare with the PyCurl performance wise? My understanding is that Requests is a python wrapper for urllib whereas PyCurl is a python wrapper for libcurl which is native, so PyCurl should get better performance, but not sure by how much. I can't find any comparing benchmarks. I wrote you a full benchmark , using a trivial Flask application backed by gUnicorn/meinheld + nginx (for performance and HTTPS), and seeing how long it takes to complete 10,000 requests. Tests are run in AWS on a pair of unloaded c4.large instances, and the server instance was not CPU

Imagine the following case: 1,000 clients are connected to a Meteor page displaying the content of the "Somestuff" collection. "Somestuff" is a collection holding 1,000 items. Someone inserts a new item into the "Somestuff" collection What will happen: All Meteor.Collection s on clients will be updated i.e. the insertion forwarded to all of them (which means one insertion message sent to 1,000 clients) What is the cost in term of CPU for the server to determine which client needs to be updated? Is it accurate that only the inserted value will be forwarded to the clients, and not the whole list

Is there a package that helps me benchmark JavaScript code? I'm not referring to Firebug and such tools. I need to compare 2 different JavaScript functions that I have implemented. I'm very familiar with Perl's Benchmark ( Benchmark.pm ) module and I'm looking for something similar in JavaScript. Has the emphasis on benchmarking JavaScript code gone overboard? Can I get away with timing just one run of the functions? Just time several iterations of each function. One iteration probably won't be enough, but (depending on how complex your functions are) somewhere closer to 100 or even 1,000

Usually I use shell command time . My purpose is to test if data is small, medium, large or very large set, how much time and memory usage will be. Any tools for linux or just python to do this? exhuma Have a look at timeit , the python profiler and pycallgraph . timeit def test(): """Stupid test function""" lst = [] for i in range(100): lst.append(i) if __name__ == '__main__': import timeit print(timeit.timeit("test()", setup="from __main__ import test")) Essentially, you can pass it python code as a string parameter, and it will run in the specified amount of times and prints the execution

I have a set of n vectors stored in the 3 x n matrix z . I find the outer product using np.einsum . When I timed it using: %timeit v=np.einsum('i...,j...->ij...',z,z) I got the result: The slowest run took 7.23 times longer than the fastest. This could mean that an intermediate result is being cached 100000 loops, best of 3: 2.9 µs per loop What is happening here and can it be avoided? The best 3 is 2.9us, but the slowest maybe more typical. The message "intermediate result is being cached" is just a blind guess in the canned message reported by %timeit. It may or may not be true, and you