<!--your preparation HTML code goes here-->
ab = new ArrayBuffer(1000*4);
u32 = new Uint32Array(ab);
fnConstructor = function(localArr, localCount) {
return function foo() {
for (let i = 0; i < localCount; i++) {
localArr[localCount]++;
}
}
};
code2 = `return function foo(argArr, argCount) {
for (let i = 0; i < argCount; i++) {
argArr[argCount]++;
}
}`;
fnWithArgs = new Function(code2)();
fnConstructor(u32, 100);
fnWithArgs(u32, 100);
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
normal | |
evaluated |
Test name | Executions per second |
---|---|
normal | 242473328.0 Ops/sec |
evaluated | 32674438.0 Ops/sec |
The provided JSON defines a benchmark for comparing two different approaches to incrementing elements in a typed array (specifically, a Uint32Array
) in JavaScript. The benchmark consists of two test cases that utilize different function creation methods.
Normal (fnConstructor):
fnConstructor(u32, 100);
foo
is defined inside fnConstructor
, which can reference localArr
and localCount
from its outer scope.Evaluated (fnWithArgs):
fnWithArgs(u32, 100);
Function
constructor to create a new function from a string representation of code.code2
, contains a function definition that will increment the elements of argArr
, which is passed to it.Based on the raw benchmark results, we can derive the following conclusions regarding performance:
Normal (fnConstructor):
Pros:
Cons:
Evaluated (fnWithArgs):
Pros:
Cons:
Function
can allow for injection of unwanted code if input is not properly sanitized.Uint32Array
, which is a typed array that represents an array of 32-bit unsigned integers. This is important for performance-sensitive applications, as it allows for efficient storage and manipulation of numeric data.Direct Iteration: Instead of using function constructor or Function
, a straight-forward loop to directly increment the values may be tested. While this is simpler, it may not showcase the same performance characteristics.
Using Array
: JavaScript's native Array
could be used instead of a typed array, with potential performance implications for larger datasets or performance-constrained applications.
WebAssembly: For heavy numerical computations, compiling to WebAssembly could be a viable alternative, offering significant performance improvements but introducing complexity in the workflow.
Avoid Functional Programming Overheads: In cases where rapid performance is essential, minimizing the use of functional programming patterns that introduce overhead (like closures or dynamic function creation) could yield better results.
By analyzing and comparing the test cases, software engineers can glean insights into JavaScript function performance characteristics, enabling informed decisions based on the nature of their own applications.