Toggle navigation
MeasureThat.net
Create a benchmark
Tools
Feedback
FAQ
Register
Log In
chunk list of objects
(version: 0)
Comparing performance of:
Native slice vs lodash chunk vs Access values with native vs Access values with lodash
Created:
4 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>
Script Preparation code:
var test = Array.from({ length: 100000 }, () => ({ key1: 'a', key2: 'b' }))
Tests:
Native slice
test.slice(0,25)
lodash chunk
_.chunk(test,25)
Access values with native
test.slice(0,25)[1]
Access values with lodash
_.chunk(test,25)[1]
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (4)
Previous results
Fork
Test case name
Result
Native slice
lodash chunk
Access values with native
Access values with lodash
Fastest:
N/A
Slowest:
N/A
Latest run results:
No previous run results
This benchmark does not have any results yet. Be the first one
to run it!
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the world of JavaScript microbenchmarks! **Benchmark Overview** The provided JSON represents a benchmark test case created on MeasureThat.net, a website that allows users to create and run JavaScript microbenchmarks. The goal is to compare the performance of different approaches when dealing with chunking a large list of objects. **Script Preparation Code** The script preparation code is: ```javascript var test = Array.from({ length: 100000 }, () => ({ key1: 'a', key2: 'b' })); ``` This creates an array `test` containing 100,000 objects with two properties each. This large dataset will be used to benchmark different chunking approaches. **Html Preparation Code** The HTML preparation code includes a script tag that loads the Lodash library version 4.17.5: ```html <script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script> ``` Lodash is a popular JavaScript utility library that provides various functions for tasks like array manipulation, string manipulation, and more. **Benchmark Test Cases** There are four test cases: 1. **Native slice**: `test.slice(0,25)` This test case uses the native JavaScript `slice()` method to extract a chunk of 25 elements from the `test` array. 2. **Lodash chunk**: `_chunk(test,25)` This test case uses the Lodash `_chunk()` function to split the `test` array into chunks of 25 elements. 3. **Access values with native**: `test.slice(0,25)[1]` This test case extracts a value from the first chunk of 25 elements using the native JavaScript syntax. 4. **Access values with Lodash**: `_chunk(test,25)[1]` This test case accesses the second element of the first chunk using the Lodash `_chunk()` function. **Library: Lodash** Lodash is a utility library that provides various functions for tasks like array manipulation, string manipulation, and more. In this benchmark, it's used to implement the `_chunk()` function, which splits an array into chunks of a specified size. **Special JavaScript Features/Syntax** None mentioned in this benchmark. **Other Considerations** When dealing with large datasets and performance-critical code, microbenchmarks like this one can help identify optimization opportunities. However, it's essential to note that the results may not generalize to real-world scenarios or edge cases. In addition to these test cases, you might also consider including other approaches, such as: * Using a custom implementation of chunking * Utilizing parallel processing or concurrency * Experimenting with different array data structures (e.g., linked lists) **Alternatives** Some alternative approaches for chunking large datasets include: * Using `Array.prototype.slice()` and manual iteration * Implementing a custom chunking algorithm using bitwise operations * Leveraging libraries like RxJS or Bluebird, which provide observable and promise-based APIs for handling asynchronous data processing Keep in mind that each approach has its trade-offs in terms of performance, memory usage, and complexity. The choice of method depends on the specific requirements and constraints of your project.
Related benchmarks:
native slice vs lodash slice
native-slice-vs-chunk
Chunk: lodash vs you-dont-need vs youmightnotneed vs ...
native-splice-vs-chunk
Comments
Confirm delete:
Do you really want to delete benchmark?