const counter = 10000
const map = new Map()
const array = new Array(counter)
window.counter = counter
window.map = map
window.array = array
for (let i = 0; i < counter; i++) {
map.set(i)
array[counter] = i
}
for (let i = 0; i < 20000; i++) {
window.map.has(500)
}
for (let i = 0; i < 20000; i++) {
window.array.filter((value) => value === 500)
}
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Hashmap | |
Array.filter |
Test name | Executions per second |
---|---|
Hashmap | 7643.1 Ops/sec |
Array.filter | 11.3 Ops/sec |
Let's break down the benchmark and explain what's being tested.
Benchmark Definition
The benchmark is designed to compare two approaches:
Map
data structure in JavaScript to test its performance for fast lookups.filter()
method on an array to test its performance for filtering elements based on a condition.Options Compared
In this benchmark, we have two options being compared:
Map
)These two approaches are being tested for their execution speed and efficiency in performing fast lookups or filtering elements.
Pros and Cons of Each Approach:
Pros:
Cons:
Pros:
filter()
method is optimized for filtering elements in an array and has a time complexity of O(n), making it suitable for applications that require element removal.Cons:
filter()
method scans the entire array, which can lead to slower performance compared to other data structures like hashmaps.Library and Purpose
In this benchmark, no specific library is being used. However, it's worth noting that some JavaScript environments might use a Map
implementation that's derived from the V8 engine (used in Chrome). This could affect the performance results.
Special JS Feature or Syntax
There are no special JavaScript features or syntax mentioned in this benchmark. The code is straightforward and uses standard JavaScript constructs.
Other Alternatives
Some other data structures you might consider for this type of benchmark include:
Map
, but it's more lightweight and optimized for fast lookups.Keep in mind that these alternatives might have different performance characteristics depending on your specific use case and requirements.