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LDVNTV
(version: 2)
Comparing performance of:
Native filter-map vs Lodash filter-map
Created:
5 years ago
by:
Registered User
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HTML Preparation code:
<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.4/lodash.min.js"></script>
Script Preparation code:
var data = Array(1000000).fill({ filtering: false, mapping: 42, filter2: false, filter3: false });
Tests:
Native filter-map
data.filter(({ filtering }) => filtering).filter(({ filter2 }) => filtering).filter(({ filter3 }) => filtering).map(({ mapping }) => mapping).length
Lodash filter-map
_.chain(data).filter('filtering').filter('filter2').filter('filter3').map('mapping').value().length
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Native filter-map
Lodash filter-map
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 JSON** The provided JSON represents a JavaScript microbenchmark, which allows users to compare the performance of different approaches in executing specific code snippets. The JSON contains metadata about the benchmark: * `Name`: A unique identifier for the benchmark. * `Description`: An optional description of the benchmark. * `Script Preparation Code`: A JavaScript snippet that prepares the test data and environment before running the benchmark. * `Html Preparation Code`: A HTML snippet that includes an external library (Lodash) necessary for some test cases. **Individual Test Cases** The JSON contains two individual test cases: 1. **Native filter-map**: This test case uses native JavaScript functions to execute a code snippet that filters and maps data. * The `Benchmark Definition` specifies the exact code to be executed, including the use of `filter()` and `map()` methods directly on the `data` array. * The `Test Name` identifies this specific benchmark. 2. **Lodash filter-map**: This test case uses Lodash functions to execute a similar code snippet that filters and maps data. * The `Benchmark Definition` specifies the exact code to be executed, including the use of `_filter()` and `_map()` functions from the Lodash library. * The `Test Name` identifies this specific benchmark. **Library: Lodash** Lodash is a popular JavaScript utility library that provides various functional programming tools, including filtering, mapping, and iterating methods. In this benchmark, Lodash's `_filter()` and `_map()` functions are used to execute the "Lodash filter-map" test case. **Special JS Feature/Syntax** There doesn't appear to be any special JavaScript features or syntax being tested in these benchmarks. The code snippets use standard native JavaScript syntax and don't rely on any advanced features like async/await, ES6 classes, or Promises. **Other Alternatives** For benchmarking JavaScript performance, there are alternative tools and frameworks available: 1. **Benchmark.js**: A lightweight JavaScript benchmarking library that provides a simple way to create and run benchmarks. 2. **BenchmarkLib**: A Node.js module for creating and running benchmarks, which can be used with popular test runners like Jest or Mocha. 3. **Google Benchmark**: An open-source benchmarking library developed by Google, designed to measure the performance of C++ code in a JavaScript environment. These alternatives offer similar functionality to MeasureThat.net but may have different features, ease of use, and compatibility requirements. I hope this explanation helps software engineers understand the benchmark definition, test cases, and libraries used in MeasureThat.net!
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