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Object vs array performance
(version: 0)
Comparing performance of:
Object vs Array with constants vs Array with inline numbers (post-minification)
Created:
4 years ago
by:
Guest
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Tests:
Object
const node_type_html = 1; const node = {}; node.type = node_type_html; node.tag = 'div'; node.children = []; node.attrs = {}; const nodeType = node.type; const nodeTag = node.tag; const nodeChildren = node.children; const nodeAttrs = node.attrs;
Array with constants
const node_index_type = 0; const node_index_tag = 1; const node_index_children = 2; const node_index_attrs = 3; const node_type_html = 1; const node = []; node[ node_index_type ] = node_type_html; node[ node_index_tag ] = 'div'; node[ node_index_children ] = []; node[ node_index_attrs ] = {}; const nodeType = node[ node_index_type ]; const nodeTag = node[ node_index_tag ]; const nodeChildren = node[ node_index_children ]; const nodeAttrs = node[ node_index_attrs ];
Array with inline numbers (post-minification)
const node_type_html = 1; const node_type_component = 1; const node = []; node[ 0 ] = node_type_html; node[ 1 ] = 'div'; node[ 2 ] = []; node[ 3 ] = {}; const nodeType = node[ 0 ]; const nodeTag = node[ 1 ]; const nodeChildren = node[ 2 ]; const nodeAttrs = node[ 3 ];
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
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Test case name
Result
Object
Array with constants
Array with inline numbers (post-minification)
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down what's being tested in this benchmark. **Benchmark Definition** The website is testing the performance of two different approaches to represent DOM elements: objects and arrays. **Options Compared** There are three test cases: 1. **Objects**: The code uses an object literal (`const node = {};`) to create a DOM element, where each property represents a component of the element (e.g., `type`, `tag`, `children`, `attrs`). This approach is commonly used in JavaScript frameworks like React. 2. **Arrays with constants**: In this case, the code uses an array (`const node = [];`) and assigns values to specific indices using bracket notation (`node[0] = node_type_html;`), similar to how objects are accessed (e.g., `node[node_index_type]`). This approach is less common in JavaScript but might be used in some legacy codebases or for performance-critical paths. 3. **Arrays with inline numbers**: The third test case uses an array and assigns values directly to specific indices using inline numbers (`node[1] = 'div';`), without referencing them as constants. This approach is not typical in JavaScript. **Pros and Cons** * **Objects**: + Pros: More readable, maintainable, and flexible (e.g., easier to add or remove properties). + Cons: Might have performance overhead due to the need for dynamic property access. * **Arrays with constants**: While this approach avoids potential performance overhead from dynamic property access, it might be less readable and more prone to errors if not used carefully. * **Arrays with inline numbers**: + Pros: Avoids performance overhead from dynamic property access (since indices are always known at compile-time). + Cons: Less maintainable, less flexible, and might lead to issues when dealing with different browser versions or environments. **Library and Special JS Feature** There is no specific library being used in this benchmark. However, the use of bracket notation (`node[0]`) and inline numbers (`node[1]`) suggest that the code is leveraging JavaScript's array indexing syntax. **Other Considerations** * The test cases are designed to compare the performance of objects and arrays with different approaches. * The use of Safari 16 as the browser might be specific to this benchmark, but it highlights the importance of considering different browsers' rendering engines and versions when measuring performance. * The `ExecutionsPerSecond` metric provides insight into how fast each test case is executed on a given device. **Alternatives** If you were to design your own benchmark for comparing object vs array performance, you might consider using: 1. A more abstract representation of DOM elements (e.g., a simple data structure like an object or an enum). 2. Different JavaScript engines (e.g., V8, SpiderMonkey, Chakra) to account for differences in rendering and execution. 3. Various device configurations (e.g., different screen resolutions, mobile vs desktop devices) to capture real-world scenarios. 4. Multiple test cases with varying levels of complexity or size to cover a broader range of performance characteristics. Keep in mind that the specific approach used here is well-suited for measuring performance differences between objects and arrays in JavaScript, but it might not be representative of all use cases or environments.
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Large but empty Array versus Small Object (Access wise)
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