var a = [];
var b = {}
for (var i = 0; i < 1000000; i++) {
a.push(i);
b[i] = `${i}`;
}
var set = new Set([a]);
set.has(14500)
b[14500]
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
SET | |
Obect |
Test name | Executions per second |
---|---|
SET | 10802026.0 Ops/sec |
Obect | 11886358.0 Ops/sec |
Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net.
What is being tested?
The provided benchmark measures the performance difference between two approaches: using an object (b
) and creating a new Set
from an array (a
). The test case consists of two individual tests:
Set
data structure contains a specific element (14500).object
b
, which is indexed by the key 14500.Options being compared
Two options are being compared:
b
): This approach uses a JavaScript object to store data, where each element is assigned a value using the syntax b[i] =
${i};
.Set
from an array (a
): This approach creates a new Set
data structure from an array containing 1 million elements. The Set
is then used to check if a specific element (14500) exists.Pros and Cons of each approach
Object Approach:
Pros:
b[14500]
) are efficient in JavaScript.Cons:
Set
provides for fast lookup and insertion operations.Set Approach:
Pros:
Cons:
Set
object.Set
, as these operations are not optimized like they are for objects.Other considerations
In JavaScript, objects and Sets have different use cases. Objects are generally used when you need to store data with associated values, where the value is often a function call or another complex operation. On the other hand, Sets are designed for fast lookup and insertion operations, making them ideal for scenarios involving unique elements.
Library and special JavaScript feature
The provided benchmark uses no external libraries beyond the standard JavaScript libraries.
Special JavaScript feature
No special JavaScript features are used in this benchmark. The focus is on comparing the performance of object-based data structures (objects) with Set-based data structures (Sets).
Alternatives
If you're interested in exploring alternative approaches, consider the following:
Map
data structure can serve as a hash table for fast lookups. However, it may not offer the same performance benefits as a native Set when dealing with large datasets.Keep in mind that benchmarking JavaScript code can be complex due to factors like browser variability, caching, and memory allocation. When writing benchmarks, it's essential to account for these factors to ensure accurate results.