<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.5/lodash.min.js"></script>
<script src="//cdnjs.cloudflare.com/ajax/libs/ramda/0.28.0/ramda.min.js"></script>
var firstEqual = [];
var secondEqual = [];
for (var i=0; i<=1000000; i++) {
firstEqual.push(i);
secondEqual.push(i);
}
var arrayToDedup = [firstEqual, secondEqual];
_.uniq(arrayToDedup);
[new Set(arrayToDedup)]
R.uniq(arrayToDedup);
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Lodash Uniq | |
Javascript Set | |
Ramda Uniq |
Test name | Executions per second |
---|---|
Lodash Uniq | 5.2 Ops/sec |
Javascript Set | 4.6 Ops/sec |
Ramda Uniq | 3.9 Ops/sec |
Let's break down the provided benchmark and its options.
Benchmark Definition
The benchmark is designed to compare the performance of three data deduplication methods:
uniq
functionSet
objectR.uniq
functionAll three methods are tested on a large array of 1,000,000 unique elements.
Options Compared
The options being compared are the performance characteristics of each data deduplication method:
uniq
function that removes duplicate elements from an array. This implementation has its own internal logic and may have additional overhead due to the library's functionality.Set
object is a built-in data structure designed for efficient set operations, including deduplication. It uses a hash table internally to store unique values.R.uniq
function similar to Lodash's uniq
. This implementation may have different performance characteristics due to its design and internal logic.Pros and Cons of Each Approach
Here are some general pros and cons for each approach:
Library Descriptions
In this benchmark, the following libraries are used:
Other Considerations
When choosing an approach for data deduplication, consider the following factors:
Alternatives
If you're looking for alternative data deduplication methods or libraries, consider:
filter
method can be used to remove duplicates from an array.