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Lodash Chain (with &&) vs Native (with &&) vs Native (without &&) vs Flow
(version: 0)
Comparing performance of:
Chain vs Native (with &&) vs Native (without &&) vs Flow
Created:
3 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 src='https://cdn.jsdelivr.net/g/lodash@4(lodash.min.js+lodash.fp.min.js)'></script>
Script Preparation code:
var fp = _.noConflict(); var data = Array(10000000).fill({ a: 'a', b: 1 });
Tests:
Chain
_.chain(data).filter(f => f.a === 'a' && f.b === 1 && f.b + 1 === 2).map(f => f.a).filter(f => f === 'a').value()
Native (with &&)
data.filter(f => f.a === 'a' && f.b === 1 && f.b + 1 === 2).map(f => f.a).filter(f => f === 'a')
Native (without &&)
data.filter(f => f.a === 'a').filter(f => f.b === 1).filter(f => f.b + 1 === 2).map(f => f.a).filter(f => f === 'a')
Flow
fp.flow( fp.filter(f => f.a === 'a'), fp.filter(f => f.b === 1), fp.filter(f => f.b + 1 === 2), fp.map(f => f.a), fp.filter(f => f === 'a') )(data)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (4)
Previous results
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Test case name
Result
Chain
Native (with &&)
Native (without &&)
Flow
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 world of JavaScript microbenchmarks and explore what's being tested in this benchmark. **Benchmark Overview** The provided benchmark compares four approaches to filter and transform an array: 1. Lodash Chain (with &&) 2. Native (with &&) 3. Native (without &&) 4. Flow **Options Compared** Each test case uses a different approach to achieve the same result, which is to filter and map an array of objects. * **Lodash Chain (with &&)**: Uses the `_.chain()` method from Lodash to create a pipelined function chain that performs the filtering and mapping operations. The `&&` operator is used to short-circuit the evaluation of the expressions. * **Native (with &&)**: Uses the native JavaScript `filter()` and `map()` methods, taking advantage of the implicit short-circuiting behavior of the `&&` operator in conditional statements. * **Native (without &&)**: Uses the same `filter()` and `map()` methods as above but without the `&&` operator. * **Flow**: Utilizes the Flow programming language's `filter()`, `map()`, and `filter()` functions to achieve the same result. The `&&` operator is used in a different context, as part of a conditional expression. **Pros and Cons** Here are some observations about each approach: * **Lodash Chain (with &&)**: + Pros: Encapsulates the filtering and mapping operations within a single, reusable function, which can be beneficial for code readability and maintainability. + Cons: Requires Lodash to be loaded as an external library, adding overhead and potential conflicts with other libraries. * **Native (with &&)**: + Pros: Leverages native JavaScript functionality, eliminating the need for external libraries. The implicit short-circuiting behavior of `&&` also reduces computation overhead. + Cons: May require additional effort to ensure correct usage of the `&&` operator in conditional statements. * **Native (without &&)**: + Pros: Simplifies the code and avoids potential conflicts with other libraries, but may result in slightly less efficient execution due to the explicit use of `filter()` and `map()`. + Cons: Requires more boilerplate code to achieve the same result as the `with &&` approach. * **Flow**: + Pros: Provides a concise and expressive way to perform filtering and mapping operations, leveraging Flow's type system for safety guarantees. + Cons: Requires knowledge of the Flow programming language and its specific syntax. **Other Considerations** The benchmark also highlights the importance of: * **Device Platform**: The test results are reported for a Chrome Mobile device running Android 10. This highlights the potential differences in performance between different devices and platforms. * **Browser**: Although the browser is specified, it's essential to note that mobile browsers can exhibit different behavior compared to desktop browsers due to factors like memory constraints, rendering engines, and platform-specific optimizations. **Alternatives** Other approaches to achieve similar results might include: * Using a library like `lodash-es` or `ramda` for functional programming and filtering/mapping operations. * Utilizing modern JavaScript features like `Array.prototype.filter()` and `Array.prototype.map()` with more advanced techniques, such as using `forEach()` or `reduce()`. * Leveraging specialized libraries or frameworks for filtering and mapping operations, such as Angular's `filter()` and `map()` methods. Keep in mind that these alternatives might have their own trade-offs regarding performance, code readability, maintainability, and compatibility.
Related benchmarks:
Lodash Chain vs Native (with &&) vs Native (without &&) vs Flow
Lodash Chain vs Native (with &&) vs Native (without &&) vs Flow with random data
Lodash Chain vs Native vs Flow
Lodash Chain vs Native (with &&) vs Native (without &&) vs Flow, with actual filtering
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