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Object vs Switch..Case vs Map
(version: 0)
Comparing performance of:
Object vs Switch..case vs Map
Created:
5 years ago
by:
Guest
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Tests:
Object
const obj = { one: 'One', two: 'Two', three: 'Three', }; const result = obj.three; console.log(result);
Switch..case
const input = 'three'; let result; switch (input) { case 'one': { result = 'One'; } case 'two': { result = 'Two'; } case 'three': { result = 'Three'; } } console.log(result);
Map
const values = new Map([ ["one", 'One'], ["two", 'Two'], ["three", 'Three'] ]); const result = values.get('three'); console.log(result);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
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Test case name
Result
Object
Switch..case
Map
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 the benchmark and explain what's being tested. **Benchmark Definition** The provided JSON defines a benchmark with three test cases: 1. **Object**: Tests access to a property on an object using dot notation (`obj.three`). 2. **Switch..case**: Tests switch-case statements to find the value of a variable that matches one of several possible values. 3. **Map**: Tests accessing a value from a Map data structure using the `get()` method. **Options being compared** The benchmark is comparing three approaches: * Dot notation on an object (Object) * Switch-case statements (Switch..case) * Map data structures with the `get()` method (Map) These options are being compared in terms of execution speed and performance. **Pros and Cons of each approach:** 1. **Dot notation on an object**: * Pros: Simple, widely supported, and intuitive. * Cons: Can be slower due to string interpolation and property access overhead. 2. **Switch-case statements**: * Pros: Can be faster for multiple value checks, especially with large datasets. * Cons: Requires explicit case checking and can lead to code bloat if not optimized. 3. **Map data structures with `get()` method**: * Pros: Fast lookups and efficient memory usage, especially for large datasets. * Cons: May require additional setup (e.g., creating the Map) and understanding of the data structure. **Library/JS feature explanation** None mentioned in this benchmark definition. However, note that JavaScript features like ES6 classes or async/await might be used elsewhere in the test cases. **Test case analysis** Each test case is designed to exercise a specific aspect of each approach: 1. **Object**: Tests direct property access on an object. 2. **Switch..case**: Verifies switch-case execution for multiple value checks. 3. **Map**: Demonstrates fast lookups using the `get()` method. **Other alternatives** Considering alternative approaches, you might also want to test: * Array methods like `indexOf()` or `find()` * Other data structures like arrays or binary search trees * Caching mechanisms (e.g., LRU cache) for performance optimizations Keep in mind that this benchmark is focused on basic property access, switch-case execution, and Map lookups. Additional tests could explore more complex scenarios, such as: * Array iteration or searching * Object creation and manipulation * More advanced switch-case cases (e.g., multiple conditions with fallthrough) * Using async/await or promises for asynchronous operations Feel free to ask if you have any further questions!
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