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lodash groupBy vs Array.reduce with string interpolation 1000
(version: 0)
Comparing performance of:
Lodash vs Native
Created:
3 years ago
by:
Guest
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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 = 1000; var data = []; for (var i = 0; i <= max2; i++) { data.push({ id: i, val: `test${i}` }); }
Tests:
Lodash
_.groupBy(data, (item) => `${item.val}:${item.id}`)
Native
data.reduce((acc, item) => { acc[`${item.val}:${item.id})`] = item; return acc; }, {})
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Lodash
Native
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 data and explain what's being tested. **Benchmark Definition** The benchmark is defined by two test cases: Lodash and Native. Both test cases are designed to measure the performance of grouping an array of objects using different approaches. In the first test case, "Lodash", the benchmark uses the `_.groupBy` function from the Lodash library to group the data. The `_` symbol represents the root namespace of the Lodash library. The `groupBy` function takes two arguments: the data array and a callback function that transforms each item in the array into a unique key. In the second test case, "Native", the benchmark uses the `reduce` method on the native JavaScript API to achieve the same result. The `reduce` method applies a cumulative function to each element of an array (in this case, the data array) and reduces it to a single value (the grouped data). **Options Compared** The two test cases compare the performance of using a dedicated library (Lodash) versus a native JavaScript API (reduce). This is an interesting comparison because: * Lodash provides a convenient and often faster way to perform common operations, but it requires including additional dependencies. * The native `reduce` method is more flexible and can be used in a wider range of situations, but may require more manual effort and optimization. **Pros and Cons** Here are some pros and cons for each approach: **Lodash:** Pros: * Faster execution times due to optimized implementation * Easier to use, as the `_` symbol provides a convenient namespace for common operations Cons: * Requires including an additional dependency (Lodash library) * May not be suitable for all situations or environments where Lodash is not available **Native `reduce`:** Pros: * Flexibility and adaptability to various situations * No additional dependencies required * Can be used in a wider range of programming languages and frameworks Cons: * May require more manual effort and optimization to achieve the same performance as Lodash * Slower execution times due to native JavaScript implementation limitations **Library: Lodash** Lodash is a popular utility library for JavaScript that provides a convenient set of functions for common operations, such as array manipulation, string manipulation, and more. The `groupBy` function is one of the many useful functions provided by Lodash. **Special JS Feature/Syntax** This benchmark does not use any special JavaScript features or syntax. It only relies on standard JavaScript functions and APIs. **Other Alternatives** If you prefer to avoid using a dedicated library like Lodash, there are other alternatives for grouping arrays in JavaScript: * Using `Array.prototype.reduce()` with a custom callback function * Utilizing libraries like Ramda or Underscore.js (similar to Lodash) * Implementing your own grouping algorithm from scratch However, it's worth noting that Lodash is often considered one of the fastest and most efficient ways to perform common array operations in JavaScript. If performance is a top priority, using a dedicated library like Lodash may be the best choice.
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