<script src="https://cdn.jsdelivr.net/lodash/4.16.0/lodash.min.js"></script>
var snakeToCamelCaseMatcher = /_+(.)/g
var str = 'live_dlick_product_caunt_blias'
_.camelCase(str)
str.toLowerCase().replace(snakeToCamelCaseMatcher, (_, chr) => chr.toUpperCase())
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
lodash | |
javascript |
Test name | Executions per second |
---|---|
lodash | 616595.6 Ops/sec |
javascript | 768464.7 Ops/sec |
Let's break down the benchmark and its test cases.
Benchmark Overview
The benchmark compares two approaches to convert a string from snake case to camel case:
camelCase
functionLibrary: Lodash
Lodash is a popular JavaScript utility library that provides various functions for tasks like array manipulation, string manipulation, and more. In this benchmark, Lodash's camelCase
function is used to convert the input string from snake case to camel case.
The purpose of using Lodash in this benchmark is to demonstrate how the library can be used to perform a specific task efficiently. By comparing the performance of Lodash's camelCase
function with a custom JavaScript approach, we can evaluate the benefits of using a dedicated utility library for tasks like string manipulation.
Custom Regular Expression-Based Approach
The custom regular expression-based approach uses a simple regex pattern (_+(.)
) to extract the first character from each word in the input string and convert it to uppercase. The rest of the characters are converted to lowercase using the toLowerCase()
method.
Pros:
Cons:
Other Considerations
When choosing between these two approaches, consider the following factors:
camelCase
function is often more concise and self-explanatory.Alternative Approaches
Other alternatives for converting strings from snake case to camel case include:
camelcase
(a simpler and more lightweight alternative to Lodash's camelCase
function).toUpperCase()
and toLowerCase()
methods.Overall, the choice of approach depends on your specific use case, performance requirements, and personal preference for code readability and maintainability.