Benchmark: reduce vs flatMap vs map test

Script Preparation code:

var arr = new Array(10000).fill(1);

Tests:

reduce
arr.reduce((res,x) => { res.push(x*x); return res; },[]);
flatMap
arr.flatMap(x => x*x);
map
arr.map(x => x*x);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
reduce
flatMap
map

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 25 days ago):

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net.

**Benchmark Definition**

The provided JSON represents a benchmark definition, which specifies the type of test to be performed. In this case, it's a three-way comparison between three different array methods: `reduce`, `flatMap`, and `map`. The script preparation code initializes an array of 10,000 elements filled with the value 1.

**Options Compared**

The three options being compared are:

1. **Map**: This method creates a new array by executing the provided function on each element of the original array.
2. **Reduce**: This method applies a reducing function to each element of the array, accumulating a single output value.
3. **FlatMap**: This method is similar to `map`, but it also flattens an array of arrays into a single array.

**Pros and Cons**

*   **Map**:
    *   Pros: Maps are generally faster than reduces because they don't accumulate values in memory.
    *   Cons: Creates a new array, which can be memory-intensive for large inputs.
*   **Reduce**:
    *   Pros: Accumulates values in memory, making it suitable for finding the sum of an array or calculating the cumulative product.
    *   Cons: Can be slower than maps because it needs to iterate over each element multiple times.
*   **FlatMap**:
    *   Pros: Similar to `map`, but also flattens arrays, making it useful when working with nested data structures.
    *   Cons: Can be slower than `map` due to the additional array flattening step.

**Library and Purpose**

None of the test cases explicitly use a library. The code is self-contained, using only built-in JavaScript functions.

**Special JS Feature/Syntax**

No special JavaScript features or syntax are used in this benchmark.

**Other Alternatives**

For comparing the performance of different array methods, other alternatives include:

*   Using a profiler to measure the execution time of each method.
*   Implementing a custom loop for `reduce` and `flatMap` to compare their performance with `map`.
*   Creating a benchmarking library that supports multiple benchmarking algorithms.

Keep in mind that these alternative approaches may require more effort to set up and run, but they can provide more detailed insights into the performance characteristics of each method.

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (X11; Linux x86_64; rv:99.0) Gecko/20100101 Firefox/99.0

Browser/OS: Firefox 99 on Linux

View result in a separate tab

Test name	Executions per second
reduce	10696.3 Ops/sec
flatMap	10463.6 Ops/sec
map	17598.0 Ops/sec

Related benchmarks:

reduce vs flatMap vs map test (version: 0)

Comparing performance of: reduce vs flatMap vs map

Created: 3 years ago by: Guest

Jump to the latest result

reduce

flatMap

map

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 25 days ago):