var testVar = 10;
function doTest1(){
var sum = 0;
for (var i = 0; i < testVar; i++){
sum = sum + i;
}
}
doTest1();
function doTest2(){
var sum = 0;
var testVarLocal = testVar;
for (var i = 0; i < testVarLocal; i++){
sum = sum + i;
}
}
doTest2();
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Do not cache at all | |
Cache in the inner scope |
Test name | Executions per second |
---|---|
Do not cache at all | 1245493.4 Ops/sec |
Cache in the inner scope | 10284105.0 Ops/sec |
Let's dive into explaining the provided benchmark.
What is tested:
The benchmark measures the performance difference between two approaches when caching variable testVar
in different scopes:
testVar
is not declared within any function or scope, and its value is passed directly to the loop.testVar
is declared within a nested function (doTest2
) but still accessible outside of it due to variable hoisting.Options compared:
The benchmark compares two options:
testVar
is passed directly to the loop without caching.testVar
is declared within a nested function, and its value is accessible outside of it due to variable hoisting.Pros and cons:
testVar
multiple times.testVar
.Library and special JS feature:
There are no libraries used in this benchmark. The only notable JavaScript feature used is variable hoisting, which allows variables declared within a function scope to be accessible outside of it, even if they are not yet initialized.
Other alternatives:
In general, caching mechanisms like memoization or closure-based approaches can also be used to optimize performance. However, the specific approach taken in this benchmark (caching in the inner scope) is more aligned with a traditional JavaScript optimization technique.
To further improve this benchmark, you could consider exploring other optimization techniques, such as:
let
or const
instead of var
for variable declarations.for...of
) over array methods like forEach()
.Keep in mind that these alternatives may introduce additional complexity and require more careful consideration to ensure optimal performance.