execution-time

I want to measure the execution of a piece of code and I'm wondering what the best method to do this is? Option 1: DateTime StartTime = DateTime.Now; //Code TimeSpan ts = DateTime.Now.Subtract(StartTime); string elapsedTime = String.Format("{0:00}:{1:00}:{2:00}.{3:00}", ts.Hours, ts.Minutes, ts.Seconds, ts.Milliseconds / 10); Console.WriteLine(elapsedTime, "RunTime"); Option 2: using System.Diagnostics; Stopwatch stopWatch = new Stopwatch(); stopWatch.Start(); //Code stopWatch.Stop(); // Get the elapsed time as a TimeSpan value. TimeSpan ts = stopWatch.Elapsed; // Format and display the

Is there a better function or way to measure time than clock() function on Windows? I have a short operation and when I try clock() or gettickcount() it says it took 0.0 seconds. I need a way to measure it by miliseconds or nanoseconds. You can use QueryPerformanceCounter and QueryPerformanceFrequency : #include <stdio.h> #include <stdlib.h> #include <windows.h> int main(void) { LARGE_INTEGER frequency; LARGE_INTEGER start; LARGE_INTEGER end; double interval; QueryPerformanceFrequency(&frequency); QueryPerformanceCounter(&start); // code to be measured QueryPerformanceCounter(&end); interval =

I measured the execution times of those two functions: jQuery grep function Native JavaScript filter function The execution of following methods have been measured using Chrome Profiles tool: // jQuery GREP function function alternative1(words, wordToTest) { return $.grep(words, function(word) { return wordToTest.indexOf(word) != -1; }); } // Native javascript FILTER function function alternative2(words, wordToTest) { return words.filter(function(word) { return wordToTest.indexOf(word) != -1; }); } Array of words was constructed of 1 million randomly generated strings. Each method was run 20

I have read a solution to this using tic(), toc() functions tic <- function(gcFirst = TRUE, type=c("elapsed", "user.self", "sys.self")) { type <- match.arg(type) assign(".type", type, envir=baseenv()) if(gcFirst) gc(FALSE) tic <- proc.time()[type] assign(".tic", tic, envir=baseenv()) invisible(tic) } toc <- function() { type <- get(".type", envir=baseenv()) toc <- proc.time()[type] tic <- get(".tic", envir=baseenv()) print(toc - tic) invisible(toc) } tic(); -----code---- toc(); elapsed 0.15 But I would like to get a lot of precision in milliseconds? Also I was using this ptm <- proc.time() --

This question already has an answer here: mysql execution time 3 answers I execute MySQL queries from PHP and would like to know how time consuming they are. Is there any way to get the execution time of a MySQL query from PHP? I also wonder if the execution time depends on how loaded is the web server. I can imagine that a query will take more time to execute if the server is busy with other queries. On the other hand, I can imagine that, if the server is busy, the query will just wait for its turn and then it will be executed (without any queries executed in parallel) and than the waiting