var text = 'Mary has a little lamb '.repeat(20);
text.split(' ').map(w => `${w.charAt(0).toUpperCase()}${w.slice(1)}`).join(' ')
text.replace(/^(.)|\s+(.)/g, c => c.toUpperCase())
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Split String | |
Regex |
Test name | Executions per second |
---|---|
Split String | 94777.9 Ops/sec |
Regex | 48585.3 Ops/sec |
Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net.
Benchmark Definition and Purpose
The provided benchmark, "Array vs Regex Titlize (but it's a fork)", tests two different approaches to titleizing a string: using the split()
method with array manipulation, and using regular expressions. The purpose is to compare the performance of these two methods in titleizing a given string.
Options Compared
The two options compared are:
split()
, map()
, and join()
to create a new string where each word is capitalized.replace()
with regular expressions to achieve the same result.Pros and Cons of Each Approach
Library Usage
There is no explicit library usage mentioned in the benchmark definition. However, the split()
method and replace()
method are built-in JavaScript methods that can be used with or without additional libraries.
Special JS Features/Syntax
The benchmark uses some special features of JavaScript:
"${w.charAt(0).toUpperCase()}${w.slice(1)}"
expression to create a new string by concatenating variables.replace()
method to match and replace patterns in the input string.Other Considerations
The benchmark assumes that the input string is a simple sentence with multiple words, and the output should be a titleized version of the same string. The benchmark does not account for edge cases such as:
Alternatives
If you're interested in exploring alternative approaches to this benchmark, here are some options:
toUpperCase()
and concatenation: Instead of using template literals, you could use the toUpperCase()
method to uppercase each word individually.reduce()
: You could use the reduce()
method to accumulate the results of mapping each word to its titleized version.