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Lodash set vs multiple destructuring
(version: 0)
Comparing performance of:
Lodash set vs Native destructuring
Created:
5 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 nestedObject = { level: { anotherLevel: { oneMoreLevel: { evenOnemore: { stringTest: 'foo' }, sameOnSameLevel: 20 } } } }
Tests:
Lodash set
_.set(nestedObject, 'level.anotherLevel.oneMoreLevel.evenOnemore.stringTest', 'bar')
Native destructuring
nestedObject = { ...nestedObject, level: { ...nestedObject.level, anotherLevel: { ...nestedObject.level.anotherLevel, oneMoreLevel: { ...nestedObject.level.anotherLevel.oneMoreLevel, evenOnemore: { ...nestedObject.level.anotherLevel.oneMoreLevel.evenOnemore, stringTest: 'bar' } } } } }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Lodash set
Native destructuring
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 dive into the benchmark definition and test cases. **Benchmark Definition and Preparation Code** The benchmark is defined using JSON, which represents a JavaScript microbenchmarking experiment. The preparation code for the benchmark is provided in two parts: 1. A nested JavaScript object (`nestedObject`) that serves as the input data for the benchmark. 2. A script tag that includes the Lodash library version 4.17.5. **Options Being Compared** The benchmark compares two approaches to set a value on an object: 1. **Lodash's `set` function**: The first test case uses the `_.set()` method from the Lodash library to update the `nestedObject`. This approach is likely slower because it involves a call to the external library. 2. **Native destructuring with nested objects**: The second test case uses native JavaScript destructuring syntax to create a new object with the updated values. This approach is likely faster because it leverages the optimized performance of native JavaScript. **Pros and Cons** Here are some pros and cons for each approach: **Lodash's `set` function** Pros: * Concise and readable code * Easy to maintain and understand * Does not require knowledge of deep object manipulation Cons: * Slower due to external library call overhead * May incur additional memory allocations or garbage collection **Native destructuring with nested objects** Pros: * Faster execution speed due to native optimization * Memory-efficient, as it avoids unnecessary allocations * No external library dependencies Cons: * Requires knowledge of deep object manipulation and syntax nuances * May be less readable or maintainable for some developers **Library: Lodash** Lodash is a popular JavaScript utility library that provides various functions for data manipulation, array processing, and other tasks. The `set` function is one of its most useful tools for updating values in objects. **Special JS Feature/Syntax** There are no special JS features or syntax used in this benchmark. However, it's worth noting that the use of nested objects requires a good understanding of JavaScript object manipulation and recursion. **Other Alternatives** If you wanted to create similar benchmarks using alternative approaches, here are some options: 1. **Native destructuring with spread operators**: You could use the spread operator (`{...}`) to merge new values into existing objects instead of using nested objects. 2. **Functional programming libraries**: Libraries like Ramda or Immutable.js provide functional programming abstractions that can be used for object manipulation and updates. 3. **Custom implementation**: Depending on your specific requirements, you could implement a custom algorithm for updating values in objects, potentially leveraging native browser APIs or low-level JavaScript features. Keep in mind that the performance differences between these approaches may vary depending on the specific use case, object size, and other factors.
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