Benchmark: set.has vs. array.includes v2

Script Preparation code:

var a = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10];
var b = new Set(a)

AخA
 
var a = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10];var b = new Set(a)

Tests:

includes

let res = 0;

for (let i = 0; i < 10; i++) {
  res = a.includes(i) ? i : res;
}

return res;

​x
 
let res = 0;​for (let i = 0; i < 10; i++) {  res = a.includes(i) ? i : res;}​return res;

lookup

let res = 0;

for (let i = 0; i < 10; i++) {
  res = b.has(i) ? i : res;
}

return res;

 
let res = 0;​for (let i = 0; i < 10; i++) {  res = b.has(i) ? i : res;}​return res;

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Experimental features:

Memory measurements supported only in Chrome.
For precise memory measurements Chrome must be launched with --enable-precise-memory-info flag.
More information: Monitoring JavaScript Memory

Test case name	Result
includes
lookup

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:104.0) Gecko/20100101 Firefox/104.0

Browser/OS: Firefox 104 on Windows

View result in a separate tab

Test name	Executions per second
includes	4099387.2 Ops/sec
lookup	24715324.0 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated 6 months ago):

I'd be happy to explain the benchmark and its results.

Benchmark Overview

The provided JSON represents two JavaScript microbenchmarks: set.has vs. array.includes v2. The benchmarks compare the performance of using a Set data structure (set.has) with the includes method on an array.

Options Compared

The options compared in this benchmark are:

set.has: A method that checks if an element is present in a Set object.
array.includes: A method that checks if an element is included in an array.

Pros and Cons of Each Approach

set.has:
- Pros: Fast lookups, especially for large datasets, since sets use hash tables under the hood.
- Cons: Requires creating a Set object from the input data, which may incur additional overhead.
array.includes:
- Pros: Simple and straightforward to implement, doesn't require creating an additional data structure.
- Cons: May be slower than set.has for large datasets due to the need to iterate over the array.

Other Considerations

When choosing between these two approaches, consider the following factors:

Frequency of lookups: If you're performing a large number of lookups on the same dataset, set.has might be a better choice.
Data size: For small datasets, the difference in performance may not be noticeable. However, for larger datasets, set.has is likely to perform better.

Library and Syntax

In this benchmark, no specific library or syntax is used beyond JavaScript's built-in features. Both benchmarks use standard JavaScript syntax.

Special JS Features or Syntax (None)

No special JavaScript features or syntax are used in these benchmarks.

Alternative Approaches

Other alternatives for performing lookups include:

Using a Map data structure instead of a Set. Map provides fast lookups and is suitable for situations where you need to store key-value pairs.
Implementing a custom lookup function using bitwise operations or other optimization techniques.
Using a third-party library like Lodash, which provides optimized implementations of various algorithms, including lookups.

In conclusion, the set.has vs. array.includes v2 benchmark compares two common approaches for performing lookups in JavaScript. By understanding the pros and cons of each approach, developers can make informed decisions about which method to use depending on their specific use case and performance requirements.

LLMs can make mistakes. Check important info.

I'd be happy to explain the benchmark and its results.

**Benchmark Overview**

The provided JSON represents two JavaScript microbenchmarks: `set.has` vs. `array.includes v2`. The benchmarks compare the performance of using a `Set` data structure (`set.has`) with the `includes` method on an array.

**Options Compared**

The options compared in this benchmark are:

1. `set.has`: A method that checks if an element is present in a `Set` object.
2. `array.includes`: A method that checks if an element is included in an array.

**Pros and Cons of Each Approach**

* `set.has`:
	+ Pros: Fast lookups, especially for large datasets, since sets use hash tables under the hood.
	+ Cons: Requires creating a `Set` object from the input data, which may incur additional overhead.
* `array.includes`:
	+ Pros: Simple and straightforward to implement, doesn't require creating an additional data structure.
	+ Cons: May be slower than `set.has` for large datasets due to the need to iterate over the array.

**Other Considerations**

When choosing between these two approaches, consider the following factors:

* Frequency of lookups: If you're performing a large number of lookups on the same dataset, `set.has` might be a better choice.
* Data size: For small datasets, the difference in performance may not be noticeable. However, for larger datasets, `set.has` is likely to perform better.

**Library and Syntax**

In this benchmark, no specific library or syntax is used beyond JavaScript's built-in features. Both benchmarks use standard JavaScript syntax.

**Special JS Features or Syntax (None)**

No special JavaScript features or syntax are used in these benchmarks.

**Alternative Approaches**

Other alternatives for performing lookups include:

1. Using a `Map` data structure instead of a `Set`. `Map` provides fast lookups and is suitable for situations where you need to store key-value pairs.
2. Implementing a custom lookup function using bitwise operations or other optimization techniques.
3. Using a third-party library like Lodash, which provides optimized implementations of various algorithms, including lookups.

In conclusion, the `set.has` vs. `array.includes v2` benchmark compares two common approaches for performing lookups in JavaScript. By understanding the pros and cons of each approach, developers can make informed decisions about which method to use depending on their specific use case and performance requirements.

Related benchmarks:

set.has vs. array.includes v2 (version: 0)

Comparing performance of: includes vs lookup

Created: 2 years ago by: Guest

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