var LIMIT = 10000;
var target = [];
for (var i = 0; i < LIMIT; i++) {
target[i] = i;
}
var target = {};
for (var i = 0; i < LIMIT; i++) {
target[i] = i;
}
var target = [];
for (var i = 0; i < LIMIT; i++) {
if (i % 2 === 0) {
target[i] = i;
}
}
var target = {};
for (var i = 0; i < LIMIT; i++) {
if (i % 2 === 0) {
target[i] = i;
}
}
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Array | |
Object | |
Sparse Array | |
Sparse Object |
Test name | Executions per second |
---|---|
Array | 1032.6 Ops/sec |
Object | 968.5 Ops/sec |
Sparse Array | 671.2 Ops/sec |
Sparse Object | 936.9 Ops/sec |
What is being tested?
The provided JSON represents four test cases for measuring the performance of JavaScript arrays and objects with sparse data structures.
In each test case, a loop is executed LIMIT
times (set to 10,000 in this example), where the target data structure (array
or object
) is populated with indices starting from 0. The difference between these tests lies in whether every index has been set (full array/object
) or only some of them have been set (sparse array/object
). The sparse arrays and objects are created using an if
condition that checks if the current index is even, and only then sets the value.
Options compared:
The four test cases compare:
Pros and Cons of each approach:
Library used (if any):
None are explicitly mentioned in the provided JSON. However, it is likely that some JavaScript engines or environments might use internal optimizations or heuristics that could affect the performance of these tests.
Special JS feature or syntax:
None are specifically highlighted in this benchmark. The focus appears to be on testing the basic behavior and performance differences between full arrays, objects, sparse arrays, and sparse objects.
Alternatives:
If you're interested in exploring alternative data structures for JavaScript, some options include:
Keep in mind that the choice of data structure ultimately depends on your specific use case and requirements.