Benchmark: find vs dict vs arr

Script Preparation code:

var arr = [];
var dict = {};

for (let i = 0; i < 100; i++) {
    arr.push({ id: i, char: 'foo' + i });
    dict[i] = { id: i, char: 'foo' + i };
}

Tests:

Find
var v1 = arr.find(x => x.id === 5); var v2 = arr.find(x => x.id === 54); var v3 = arr.find(x => x.id === 89);
Array
var v1 = arr[5]; var v2 = arr[54]; var v3 = arr[89];
Dictionary
var v1 = dict[5]; var v2 = dict[54]; var v3 = dict[89];

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Find
Array
Dictionary

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 29 days ago):

LLMs can make mistakes. Check important info.

Let's break down the benchmark and explain what is being tested.

**Benchmark Overview**

The benchmark is designed to compare the performance of three different approaches:

1. `find` (or filter) method for arrays
2. Indexing (`arr[5]`, `arr[54]`, etc.) for arrays
3. Key-based lookup for dictionaries

**What is being tested?**

For each test case, the benchmark is testing the execution time of searching for an element with a specific ID in the respective data structure.

**Options compared**

Here's a summary of what's being compared:

* `find` vs. Indexing: Both methods are used to search for an element with a specific ID. However, `find` will stop iterating as soon as it finds a match, while indexing will iterate until it reaches the desired index.
* Indexing (`arr[5]`, etc.) vs. Key-based lookup (dictionary): Indexing requires knowing the exact index of the desired element, whereas key-based lookup allows searching by any unique value.

**Pros and Cons**

Here's a brief analysis of each approach:

1. **Find**:
	* Pros: Can stop iterating early, might be faster for larger arrays with a specific ID.
	* Cons: May not work well if the array is sorted or has duplicate IDs.
2. **Indexing**:
	* Pros: Works well with sorted arrays and can be faster if the index is known.
	* Cons: Requires knowing the exact index, might not work for unsorted arrays.
3. **Key-based lookup (Dictionary)**:
	* Pros: Can search by any unique value, works well with unsorted data.
	* Cons: May be slower due to the overhead of dictionary operations.

**Library and Syntax**

In this benchmark, no specific library or syntax is used that requires special attention.

**Test users special JS feature or syntax?**

There are no special JavaScript features or syntaxes being tested in this benchmark. The tests are relatively straightforward and focus on the performance of basic data structure methods.

**Other alternatives**

Other alternatives to consider when searching in arrays or dictionaries include:

* Regular expressions (regex) for searching patterns
* Other lookup algorithms, such as binary search (for sorted arrays)
* Using a library like Lodash's `findIndex` function (for indexing)

However, these alternatives are not being tested in this specific benchmark.

I hope this explanation helps! Let me know if you have any further questions.

Latest run results:

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

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.69 Safari/537.36

Browser/OS: Chrome 95 on Linux

View result in a separate tab

Test name	Executions per second
Find	2375105.2 Ops/sec
Array	4053013.5 Ops/sec
Dictionary	3998259.2 Ops/sec

Related benchmarks:

find vs dict vs arr (version: 0)

Comparing performance of: Find vs Array vs Dictionary

Created: 5 years ago by: Guest

Jump to the latest result

Find

Array

Dictionary

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 29 days ago):