Benchmark: map&join vs reduce

Script Preparation code:

var a = ''
for (const i of Array(10).fill(0)) a += Math.random().toString(36)

function caseReduce(str = '') {
  return str.split(/[^\w]+/).reduce((acc, cur) => {
    return acc ? `${acc}#${cur[0].toUpperCase()}${cur.slice(1)}` : cur
  }, '')
}

function caseMapJoin(str = '') {
  return str.split(/[^\w]+/).map(str => `${str[0]}${str.slice(1)}`).join('#')
}

Tests:

map&join
caseMapJoin(a)
reduce
caseReduce(a)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
map&join
reduce

Fastest: N/A

Slowest: N/A

Latest run results:

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Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

Let's dive into the explanation of the provided benchmark.

**What is being tested?**

The benchmark tests two different approaches to process a string:

1. `caseMapJoin`: This function takes a string as input, splits it into substrings separated by non-word characters (e.g., spaces, punctuation), maps over each substring to transform it into a new string, and then joins the transformed strings back together with a '#' separator.
2. `caseReduce`: This function also takes a string as input, splits it into substrings like `caseMapJoin`, but instead of mapping over each substring, it uses the `reduce()` method to concatenate the transformed substrings.

**Options compared**

The two options being compared are:

* `map` (using `Array.prototype.map()`) followed by `join`
* `reduce`

**Pros and Cons**

* **`map` + `join`:**
	+ Pros:
		- Can be more efficient for small to medium-sized input strings, as it avoids the overhead of a reducer function.
		- Often faster in older browsers that don't support `reduce()`.
	+ Cons:
		- May perform poorly for very large input strings, as it creates multiple intermediate arrays.
* **`reduce`:**
	+ Pros:
		- Can handle very large input strings more efficiently than the `map` + `join` approach.
		- Often faster in modern browsers that support `reduce()`.
	+ Cons:
		- May be slower for small to medium-sized input strings, due to the overhead of the reducer function.

**Library and purpose**

In this benchmark, a library is not explicitly mentioned. However, it's likely that the test cases are using built-in JavaScript methods or functions, such as `Array.prototype.map()` and `String.prototype.split()`, which are part of the ECMAScript standard and don't require any external libraries.

**Special JS feature or syntax**

There is no special JavaScript feature or syntax being tested in this benchmark. The code uses standard JavaScript language constructs, such as functions, loops, and array methods.

**Other alternatives**

If you were to implement this benchmark yourself, some alternative approaches you could consider are:

* Using a third-party library like Lodash, which provides an `each` function similar to `map()`.
* Implementing your own custom reducer function instead of using the built-in `reduce()` method.
* Using a different approach altogether, such as using regular expressions or a parsing algorithm.

Keep in mind that these alternatives may not provide the same performance characteristics as the original benchmark, and may require additional testing to ensure accuracy.

Related benchmarks:

map&join vs reduce (version: 0)

Comparing performance of: map&join vs reduce

Created: 2 years ago by: Registered User

Jump to the latest result

map&join

reduce

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):