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lodash groupBy vs lodash keyBy 2
(version: 0)
Comparing performance of:
Lodash group vs Lodash key by
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 max2 = 1000000; // 1,000,000 (1 Million) var data = []; for (var i = 0; i <= max2; i++) { data.push({ id: i }); }
Tests:
Lodash group
_.groupBy(data, ({ id }) => id)
Lodash key by
_.groupBy(data, ({ id }) => id)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Lodash group
Lodash key by
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
11 months ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/136.0.0.0 Safari/537.36
Browser/OS:
Chrome 136 on Mac OS X 10.15.7
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Test name
Executions per second
Lodash group
35.7 Ops/sec
Lodash key by
35.2 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmarking scenario. **What is being tested?** The provided JSON represents two individual test cases, each testing the performance of two different methods for grouping data using the Lodash library: `groupBy` and `keyBy`. The test case "Lodash groupBy vs Lodash key By 2" specifically compares these two methods. **Options compared:** * **Lodash groupBy**: This method groups an array of objects by a common property (in this case, the `id` property). * **Lodash keyBy**: This method creates a new object where each value is obtained from the original data using a given function as the "key". **Pros and Cons:** * **Lodash groupBy**: + Pros: Simple to implement, easy to understand. + Cons: May not be suitable for large datasets or complex grouping scenarios due to its simplicity. * **Lodash keyBy**: + Pros: Highly customizable, can handle complex grouping scenarios, and is often more efficient than `groupBy` for large datasets. + Cons: Requires a function as the "key", which may add overhead. **Library (Lodash) and purpose:** Lodash is a popular JavaScript utility library that provides various functions for tasks like data manipulation, string manipulation, and more. In this case, Lodash's `groupBy` and `keyBy` functions are used to group data based on specific properties or values. **Special JS feature or syntax:** There is no special JavaScript feature or syntax being tested in this benchmark. **Other alternatives:** * If you don't want to use a library like Lodash, you could implement the grouping functionality yourself using vanilla JavaScript. This would likely be slower and more error-prone than using a well-tested library like Lodash. * Another alternative is to use other libraries or frameworks that provide similar grouping functionality, such as Ramda.js or TypeScript's built-in `groupBy` function. **Benchmark preparation code:** The provided script preparation code generates an array of 1 million objects with an `id` property, which will be used for the groupBy and keyBy tests. This is likely done to ensure that the benchmarking scenario is reproducible and representative of a real-world use case. **HTML Preparation Code:** The HTML preparation code includes the Lodash library (version 4.17.5), which must be loaded before running the benchmarking script.
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