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orderby vs sortby
(version: 0)
Comparing performance of:
sortby vs orderby
Created:
6 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:
function getRandomInt(max) { return Math.floor(Math.random() * Math.floor(max)); } var arr = []; for(var i = 0; i < 100000; i++){ arr.push({value:getRandomInt(100)}); }
Tests:
sortby
_.sortBy(arr,"value");
orderby
_.orderBy(arr,"value", ['asc']);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
sortby
orderby
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided JSON and explain what's being tested, compared, and discussed. **Benchmark Overview** The benchmark is comparing two JavaScript functions: `_.sortBy` from Lodash and `_orderBy` with sorting order specified as 'asc' (ascending) from a library called "lodash". The goal is to measure which approach performs better in terms of execution speed. **Options Compared** Two options are being compared: 1. **_sortBy(arr, "value")**: This uses the `_.sortBy` function from Lodash, which sorts an array by a specified key (in this case, `"value"`). 2. **_orderBy(arr, "value", ['asc'])**: This uses the `_orderBy` function from Lodash with sorting order specified as 'asc' (ascending) and the same key ("value"). **Pros and Cons of Each Approach** * **_.sortBy(arr, "value")**: + Pros: Typically more efficient since it only sorts one array. + Cons: May not be suitable for large datasets or when the sorted order is not incremental. * **_orderBy(arr, "value", ['asc'])**: + Pros: Can handle large datasets and incremental sorting orders. + Cons: Requires additional processing to specify the sorting order. **Other Considerations** * **Lodash**: The _.sortBy and _.orderBy functions are part of the Lodash library. Lodash provides a set of utility functions that simplify common tasks, such as array manipulation, object manipulation, and more. * **JavaScript Features and Syntax**: There's no explicit mention of any special JavaScript features or syntax being used in this benchmark. **Alternative Approaches** To compare these two approaches, other alternatives could be: 1. Implementing a custom sorting function using the `Array.prototype.sort()` method. 2. Using a different library, such as Moment.js for date-based sorting. 3. Comparing the performance of different sorting algorithms, such as quicksort or mergesort. Keep in mind that these alternative approaches might have varying levels of complexity and may not be suitable for all use cases. **Benchmark Preparation Code** The provided Script Preparation Code generates an array of 100,000 objects with a random "value" property. This is done to provide a large dataset for the benchmarking tests. **Individual Test Cases** Each individual test case has a unique Benchmark Definition string that corresponds to a specific test: 1. **_.sortBy(arr, "value")**: This test uses the _.sortBy function from Lodash to sort the array. 2. **_orderBy(arr, "value", ['asc'])**: This test uses the _orderBy function from Lodash with sorting order specified as 'asc' (ascending) and the same key ("value"). The test results are provided in the Latest Benchmark Result section, showing the execution speed for each test case using Chrome 78 on a Windows desktop.
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