Benchmark: test map vs reduce

Tests:

map
const mbtiList = ["IE", "NS", "FT", "PJ"]; const result = mbtiList .map(mbti => { const score = 1 ?? 0; return score < 0 ? mbti[0] : mbti[1]; }) .join("");
reduce
const mbtiList = ["IE", "NS", "FT", "PJ"]; const result = mbtiList.reduce((acc, init) => { const score = 1 ?? 0; const result = score < 0 ? init[0] : init[1]; return acc + result; }, "")

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
map
reduce

Fastest: N/A

Slowest: N/A

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

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Measuring performance differences between JavaScript map and reduce functions.

**What is tested?**

The benchmark tests the execution speed of two common array methods in JavaScript: `map()` and `reduce()`. The test cases are identical, except for the method used to transform an array of strings into a single string. Specifically:

* In one case, the `map()` function is used to create a new array with transformed elements.
* In the other case, the `reduce()` function is used to accumulate the transformed elements and return a single result.

**Options compared**

The two options being compared are:

1. **Map**: Uses the `map()` function to create a new array with transformed elements.
2. **Reduce**: Uses the `reduce()` function to accumulate the transformed elements and return a single result.

**Pros and Cons of each approach:**

* **Map**:
	+ Pros:
		- Creates a new array with transformed elements, which can be more efficient for large datasets.
		- Easier to read and understand for some developers.
	+ Cons:
		- Requires creating an intermediate array, which can consume memory.
		- May not be suitable for very large datasets due to memory constraints.
* **Reduce**:
	+ Pros:
		- Accumulates transformed elements in a single variable, reducing memory usage.
		- Suitable for very large datasets without significant performance impact.
	+ Cons:
		- Can be more difficult to read and understand for some developers.
		- May require careful consideration of the accumulator function.

**Library/Functionality used:**

The `reduce()` function is a built-in JavaScript method, which means it's a native implementation optimized for performance. The `map()` function is also a built-in JavaScript method, but its implementation might be less efficient than the `reduce()` function in some cases.

**Special JS feature/Syntax:**

There are no special JS features or syntax used in this benchmark.

**Other alternatives:**

If you want to explore other approaches, here are a few options:

* **For...of loop**: You can use a `for...of` loop to iterate over the array and accumulate transformed elements.
* **Filter() + join()**: Another approach is to use `filter()` to remove unwanted elements and then concatenate them using `join()`.

Keep in mind that these alternatives might not be as efficient as `map()` or `reduce()`, but they can provide a different perspective on solving the problem.

To write this benchmark, you would create an array of strings and transform each element using one of the two methods. Then, you'd measure the execution time for each method and report the results. You could use a library like BenchmarkJS to simplify the process.

Related benchmarks:

test map vs reduce (version: 0)

Comparing performance of: map vs reduce

Created: 3 years ago by: Guest

Jump to the latest result

map

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):