Benchmark: reduceflatmap - MeasureThat.net

Script Preparation code:

var arr = [...Array(1000).keys()];
var objs = [...Array(4).keys()].map(() => ({nums: arr}));

Tests:

red
var result = objs.reduce((acc, val) => acc.concat(val.nums), [])
fla
var result = objs.flatMap(val => val.nums)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
red
fla

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.

I'll break down the benchmark and explain what's being tested, compared options, pros and cons, and other considerations.

**Benchmark Definition**

The benchmark measures the performance of two JavaScript operations:

1. `reduce` with concatenation: `var result = objs.reduce((acc, val) => acc.concat(val.nums), [])`
2. `flatMap`: `var result = objs.flatMap(val => val.nums)`

**Script Preparation Code**

The script preparation code sets up an array of 1000 numbers and creates an array of 4 objects, each containing the array of numbers. The purpose of this setup is to provide a common dataset for both benchmarks.

```javascript
var arr = [...Array(1000).keys()];
var objs = [...Array(4).keys()].map(() => ({nums: arr}));
```

**Comparison Options**

The benchmark compares two approaches:

1. `reduce` with concatenation (`"red"`): This approach uses the `concat()` method to accumulate the array of numbers.
2. `flatMap`: This approach uses the `flatMap()` method, which is a more modern and efficient way to flatten an array.

**Pros and Cons**

**Reduce with Concatenation ("red")**

Pros:

* Widely supported in older browsers
* Easy to understand for those familiar with `concat()`

Cons:

* Less efficient than `flatMap()`
* May lead to performance issues due to the creation of temporary arrays

**flatMap**

Pros:

* More efficient and modern approach
* Reduces the number of temporary arrays created

Cons:

* Requires support for ES6+ syntax (`flatMap()`)
* May be less intuitive for those unfamiliar with it

**Library and Syntax**

The `objs` array is created using the `map()` method, which is a built-in JavaScript function. The `flatMap()` method is also a built-in function in modern browsers.

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

**Other Considerations**

* **Array Length**: The array length of 1000 may be considered too small for some benchmarks, as it can lead to performance variations due to caching and other optimization mechanisms.
* **Object Creation**: Creating objects on the fly using `map()` can lead to performance issues if done excessively. However, in this benchmark, it's only done once per iteration.

**Alternatives**

Other alternatives for flattening arrays could be:

1. Using a library like Lodash or Ramda
2. Implementing a custom loop with indexing and push operations
3. Using a different data structure, such as an array of objects with `nums` property

Keep in mind that these alternatives may have performance implications and might not be suitable for all use cases.

Overall, the benchmark highlights the importance of considering both performance and compatibility when choosing an approach to flatten arrays in JavaScript.

Related benchmarks:

reduceflatmap (version: 0)

Comparing performance of: red vs fla

Created: 5 years ago by: Guest

Jump to the latest result

red

fla

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):