Another possible way of doing this would be to use Sys.time(): start.time <- Sys.time() …Relevent codes… end.time <- Sys.time() time.taken <- end.time – start.time time.taken Not the most elegant way to do it, compared to the answere above , but definitely a way to do it.
I have used JetBrains dotTrace and Redgate ANTS extensively. They are fairly similar in features and price. They both offer useful performance profiling and quite basic memory profiling. dotTrace integrates with Resharper, which is really convenient, as you can profile the performance of a unit test with one click from the IDE. However, dotTrace often … Read more
Use the Node.js console.time() and console.timeEnd(): var i; console.time(“dbsave”); for(i = 1; i < LIMIT; i++){ db.users.save({id : i, name : “MongoUser [” + i + “]”}, end); } end = function(err, saved) { console.log(( err || !saved )?”Error”:”Saved”); if(–i === 1){console.timeEnd(“dbsave”);} };
My module memory_profiler is capable of printing a line-by-line report of memory usage and works on Unix and Windows (needs psutil on this last one). Output is not very detailed but the goal is to give you an overview of where the code is consuming more memory, not an exhaustive analysis on allocated objects. After … Read more
Inside a function, the bytecode is: 2 0 SETUP_LOOP 20 (to 23) 3 LOAD_GLOBAL 0 (xrange) 6 LOAD_CONST 3 (100000000) 9 CALL_FUNCTION 1 12 GET_ITER >> 13 FOR_ITER 6 (to 22) 16 STORE_FAST 0 (i) 3 19 JUMP_ABSOLUTE 13 >> 22 POP_BLOCK >> 23 LOAD_CONST 0 (None) 26 RETURN_VALUE At the top level, the bytecode … Read more
Python includes a profiler called cProfile. It not only gives the total running time, but also times each function separately, and tells you how many times each function was called, making it easy to determine where you should make optimizations. You can call it from within your code, or from the interpreter, like this: import … Read more
Using performance.now(): var startTime = performance.now() doSomething() // <—- measured code goes between startTime and endTime var endTime = performance.now() console.log(`Call to doSomething took ${endTime – startTime} milliseconds`) In Node.js it is required to import the performance class importing performance const { performance } = require(‘perf_hooks’); Using console.time: (living standard) console.time(‘doSomething’) doSomething() // <—- The … Read more
If your goal is to use a profiler, use one of the suggested ones. However, if you’re in a hurry and you can manually interrupt your program under the debugger while it’s being subjectively slow, there’s a simple way to find performance problems. Just halt it several times, and each time look at the call … Read more