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lodash merge vs test merge
(version: 0)
Comparing performance of:
lodash merge vs test merge
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:
function merge(objSrc, objTarget){ return Object.keys(objTarget).reduce(function(src, prop){ if(!src.hasOwnProperty(prop)) src[prop] = objTarget[prop]; return src; }, objSrc); }
Tests:
lodash merge
var a = { a: 'oh', b: 'my' }; var b = { c: 'goddess' }; var c = _.merge(a, b);
test merge
var a = {a: 'oh', b: 'my' }; var b = { c: 'goddess' }; var c = merge(a,b);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
lodash merge
test merge
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 on MeasureThat.net. The provided JSON represents a benchmark that compares the performance of two functions: `merge` from the Lodash library and a custom function named `test_merge`. Here's what we're testing: 1. **Lodash merge**: The test uses the `_.merge()` function from the Lodash library, which is a utility function for merging two objects. In this case, it takes two objects as input (`objSrc` and `objTarget`) and returns a new object that combines their properties. 2. **Test merge**: The second test compares the performance of a custom function named `test_merge`, which is defined in the Script Preparation Code section of the benchmark definition. Now, let's discuss the options compared: * **Lodash merge**: + Pros: Lodash provides an efficient and tested implementation for merging objects. It uses a optimized algorithm that reduces the number of iterations required to combine properties. + Cons: We need to include the Lodash library in our test, which might add overhead due to its size and complexity. * **Test merge**: + Pros: By writing our own custom function, we can optimize it for our specific use case. This approach allows us to tailor the implementation to the requirements of the benchmark. + Cons: Without proper testing and optimization, a custom function might not perform as well as a well-tested library like Lodash. Other considerations: * **Benchmarking framework**: MeasureThat.net provides a robust benchmarking framework that helps ensure accurate and reliable results. The framework accounts for factors like browser version, device platform, operating system, and more to provide a fair comparison. * **Script preparation code**: The Script Preparation Code section of the benchmark definition includes the implementation details of both functions (`merge` and `test_merge`). This allows MeasureThat.net to execute the test consistently across different environments. Now, let's talk about some special JavaScript features used in this benchmark: * **Lodash library**: Lodash is a popular utility library that provides a collection of functions for tasks like string manipulation, array manipulation, and object manipulation. In this case, we're using it to provide an efficient merge function. * **Arrow functions**: The `_.merge()` function uses an arrow function (`return Object.keys(objTarget).reduce(function(src, prop){ ... }`, but the custom test_merge function is defined using a traditional function declaration. Here's some alternative benchmarking frameworks that you might be interested in: * **jsperf**: A classic JavaScript benchmarking framework that provides a simple and easy-to-use API. * **Benchmarks** (Node.js): A modern benchmarking library for Node.js that offers advanced features like automatic test case generation and optimization. * **Benchmark.js**: Another popular benchmarking library that allows you to write fast, accurate benchmarks with minimal configuration. These frameworks offer different approaches and features, so be sure to explore them if you're interested in writing more benchmarks!
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