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Object vs array performance_20220826
(version: 0)
Comparing performance of:
Object vs Array with inline numbers (post-minification)
Created:
3 years ago
by:
Guest
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Tests:
Object
let node_type_html = 1; for (let i = 0; i < 999; i++) { const node = {}; node.type = node_type_html + 1; node.tag = 'div'; node.children = []; node.attrs = {}; const nodeType = node.type; const nodeTag = node.tag; const nodeChildren = node.children; const nodeAttrs = node.attrs; node_type_html = node_type_html + 1; }
Array with inline numbers (post-minification)
let node_type_html = 1; for (let i = 0; i < 999; i++) { const node = []; node[ 0 ] = node_type_html + 1; node[ 1 ] = 'div'; node[ 2 ] = []; node[ 3 ] = {}; const nodeType = node[ 0 ]; const nodeTag = node[ 1 ]; const nodeChildren = node[ 2 ]; const nodeAttrs = node[ 3 ]; node_type_html = node_type_html + 1; }
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Suite status:
<idle, ready to run>
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Test case name
Result
Object
Array with inline numbers (post-minification)
Fastest:
N/A
Slowest:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll break down the provided benchmark definition and test cases to explain what's being tested, the pros and cons of different approaches, and other considerations. **Benchmark Definition** The provided JSON represents a benchmark with two test cases: "Object" and "Array with inline numbers (post-minification)". The benchmark is designed to measure the performance difference between creating objects and arrays in JavaScript. **Test Case 1: Object** In this test case, the script creates an object `node` and then extracts its properties using destructuring assignment: ```javascript const node = {}; node.type = node_type_html + 1; node.tag = 'div'; node.children = []; node.attrs = {}; const nodeType = node.type; const nodeTag = node.tag; const nodeChildren = node.children; const nodeAttrs = node.attrs; node_type_html = node_type_html + 1; ``` **Test Case 2: Array with inline numbers (post-minification)** In this test case, the script creates an array `node` and then extracts its elements using indexing: ```javascript const node = []; node[0] = node_type_html + 1; node[1] = 'div'; node[2] = []; node[3] = {}; const nodeType = node[0]; const nodeTag = node[1]; const nodeChildren = node[2]; const nodeAttrs = node[3]; node_type_html = node_type_html + 1; ``` **Options compared** The benchmark compares the performance of two approaches: 1. **Object creation**: Creating an object using the `{}` syntax and extracting its properties using destructuring assignment. 2. **Array creation with inline numbers**: Creating an array using the `[]` syntax, assigning values to its elements using indexing, and then extracting those elements. **Pros and Cons** Here are some pros and cons of each approach: **Object Creation:** Pros: * Easier to read and maintain due to destructuring assignment. * Can be more efficient in terms of memory allocation and garbage collection. Cons: * May incur a performance penalty due to the overhead of object creation and property access. **Array Creation with Inline Numbers:** Pros: * May be faster due to the simplicity of array indexing. * Reduces the number of operations required to access elements. Cons: * Can be less readable and maintainable due to the use of inline numbers and indexing. * May incur a performance penalty due to the overhead of array creation and element assignment. **Other Considerations** 1. **Minification**: The benchmark uses "post-minification" as a condition, which means that the code is not minified before execution. This affects how the JavaScript engine optimizes the code. 2. **Device Platform**: The benchmark runs on Mobile Safari 15 on an iPhone with iOS 15.4. This may impact the performance results due to differences in hardware and software configurations. **Alternatives** Other alternatives for measuring object and array creation performance include: 1. Creating objects using the `Object.create()` method or the `new` keyword. 2. Using libraries like Benchmark.js or jsperf to create benchmarks with more complex scenarios. 3. Measuring performance using different browsers, versions, or devices to account for differences in execution environments. By understanding these alternatives and considerations, developers can design more effective benchmarks that accurately measure the performance of their JavaScript code.
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