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Delete performance v2
(version: 0)
Comparing performance of:
removeNullish vs delete
Created:
4 years ago
by:
Guest
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Tests:
removeNullish
const arr = new Array(500000).fill(null).map(() => ({ "item": 42 })) const removeNullish = (obj) => Object.entries(obj).reduce((a, [k, v]) => (v ? ((a[k] = v), a) : a), {}) arr.forEach(object => { object.item = undefined removeNullish(object) })
delete
const arr = new Array(500000).fill(null).map(() => ({ "item": 42 })) arr.forEach(object => { delete object.item })
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Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
removeNullish
delete
Fastest:
N/A
Slowest:
N/A
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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 is being tested, compared, and the pros/cons of each approach. **Benchmark Definition** The benchmark definition consists of two test cases: `delete` and `removeNullish`. Both tests create an array of 500,000 objects with a single property `item`, which is initialized to a specific value. The tests then perform a similar operation on this array: 1. For the `delete` approach, each object in the array has its `item` property deleted directly. 2. For the `removeNullish` approach, an additional function `removeNullish` is used to delete the `item` property from each object. This function uses `Object.entries` and `reduce` to iterate over the object's properties and update them. **Options Compared** The two approaches being compared are: 1. **Direct deletion (`delete`)**: This approach directly deletes the `item` property from each object in the array. 2. **Using a custom removal function (`removeNullish`)**: This approach uses an additional function to remove the `item` property from each object, which involves iterating over the object's properties and updating them. **Pros/Cons** * **Direct Deletion (`delete`)**: + Pros: Simple, efficient, and likely to be faster since it directly targets the property. + Cons: May not work as expected if the `item` property is nested within another object or has a complex data structure. * **Using a Custom Removal Function (`removeNullish`)**: + Pros: More flexible, can handle complex data structures, and may be more robust than direct deletion. + Cons: Adds an extra layer of complexity, potentially slower due to the additional function call. **Library Used** The `Object.entries` method is used in both test cases. This method returns an array of a given object's own enumerable string-keyed property [key, value] pairs. It is a part of the ECMAScript standard and is widely supported across modern browsers. **Special JS Feature/Syntax** There are no special JavaScript features or syntaxes being tested here. The focus is on comparing two different approaches to removing a property from an array of objects. **Other Alternatives** If you were to create your own benchmark, you could also consider other approaches, such as: * Using `forEach` with a callback function to iterate over the array and remove properties * Utilizing a library like Lodash or Ramda for utility functions (e.g., `_.omit`, `ramda.remove`) * Comparing performance of using `Array.prototype.map()` vs. iterating over the array manually Keep in mind that benchmarking can be complex, and results may vary depending on specific use cases, hardware, and software configurations. I hope this explanation helps!
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Delete vs destructure vs reduce for objects
Delete or not delete
Remove by splice vs filter
Omit in loop vs Delete vs pure delete
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