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Comparing performance of:
using extra data constant vs without extra constant
Created:
9 years ago
by:
Guest
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Script Preparation code:
const createItem = (value, index) => ({ id: index, label: "Label" }); const payload = new Array(3).map(createItem); var action = { payload }; var emptyValues = (source) => { const copy = {}; // create an object with the same properties but empty values Object.keys(source).forEach((key) => copy[key] = typeof source[key] === "string" ? "" : null); return copy; }; var extractAttributes = (payload) => payload.attributes;
Tests:
using extra data constant
const repository = (payload) => { const data = payload.map(extractAttributes); return [ ...data.slice(0, 1).map(emptyValues), ...data ]; } repository(action.payload);
without extra constant
const repository2 = (payload) => { return [ ...payload.slice(0, 1).map(extractAttributes).map(emptyValues), ...payload.map(extractAttributes) ]; } repository2(action.payload);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
using extra data constant
without extra constant
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Measuring that.net is a website where users can create and run JavaScript microbenchmarks to compare the performance of different approaches. **Benchmark Definition** The benchmark definition in JSON format represents two test cases: 1. "using extra data constant" 2. "without extra constant" Both test cases use the same JavaScript function `repository` with slightly different implementations. **Script Preparation Code** The script preparation code defines two functions: * `createItem`: creates an object with a fixed structure (id and label) for each item in the payload array. * `payload`: creates an array of three items using the `createItem` function. * `action`: creates an object with the payload as its property. * `emptyValues`: creates a copy of an object with empty values for non-string properties. * `extractAttributes`: extracts attributes from an object. **Html Preparation Code** There is no HTML preparation code provided, which means that this benchmark does not rely on any specific HTML structure or rendering. **Test Cases** The two test cases differ in the implementation of the `repository` function: 1. "using extra data constant": * The function takes the payload as an argument. * It extracts attributes from each item using `extractAttributes`. * It creates a copy of the first item with empty values using `emptyValues`. * It concatenates the result with the remaining items in the payload. 2. "without extra constant": * The function does not take any arguments. * It extracts attributes from each item using `extractAttributes` directly on the payload. * It concatenates the result without creating a copy of the first item. **Pros and Cons** 1. "using extra data constant": + Pros: This implementation can be more efficient if the first item needs to be processed separately, but still benefits from caching the extracted attributes. + Cons: This approach may lead to unnecessary computations if the first item is not significant. 2. "without extra constant": + Pros: This implementation avoids unnecessary computations for the first item and leverages caching. + Cons: If the first item needs special processing, this approach will incur additional overhead. **Library** There is no explicit library mentioned in the benchmark definition or test cases. **Special JS Feature** The benchmark uses the `...` operator (spread operator) to concatenate arrays. This feature was introduced in ECMAScript 2015 (ES6). **Alternatives** Other alternatives for benchmarking similar scenarios might include: * Using a different data structure, such as a linked list or a tree, instead of an array. * Implementing the `repository` function using a different programming paradigm, such as imperative vs. functional programming. * Adding additional computations or transformations to the payload before passing it to the `repository` function. In general, benchmarking involves identifying and optimizing performance-critical sections of code that can have a significant impact on system performance. Measuring that.net provides a simple and accessible platform for developers to test their ideas and compare different approaches.
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