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Switch vs map with string keys
(version: 0)
Comparing performance of:
Switch vs Map
Created:
7 years ago
by:
Guest
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Tests:
Switch
const input = 'ten'; switch(input) { case 'one': return true; case 'two': return true; case 'three': return true; case 'four': return true; case 'five': return true; case 'six': return true; case 'seven': return true; case 'eight': return true; case 'nine': return true; case 'ten': return true; }
Map
const input = 'ten'; const LUT = { zero: true, one: true, two: true, three: true, four: true, five: true, six: true, seven: true, eight: true, nine: true, ten: true } LUT[input];
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Switch
Map
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
8 months ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/139.0.0.0 Safari/537.36
Browser/OS:
Chrome 139 on Mac OS X 10.15.7
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Test name
Executions per second
Switch
180787984.0 Ops/sec
Map
184650624.0 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark and explain what's being tested. **Benchmark Definition** The benchmark consists of two test cases: `Switch` and `Map`. Both tests measure the performance of different approaches to check if a string value matches one of several predefined values. **Options Compared** 1. **Switch Statement**: This approach uses a switch statement to check the input string against multiple case values. 2. **Array Lookup (Map)**: This approach uses an object (LUT) with string keys and boolean values, where the value corresponding to the input string is returned. **Pros and Cons of Each Approach** **Switch Statement** Pros: * Simple and easy to understand * Can be more efficient for small numbers of cases Cons: * Not as scalable as other approaches (more cases means slower performance) * May not work well with large datasets or dynamic values **Array Lookup (Map)** Pros: * Scalable and efficient, even for large numbers of cases * Can handle dynamic values and large datasets Cons: * More complex to understand and implement * May require more memory to store the object **Library Used** In both test cases, no specific JavaScript library is used. The switch statement is a built-in JavaScript construct, while the array lookup approach uses an object literal (LUT). **Special JS Feature or Syntax** None of these approaches rely on special JavaScript features or syntax. **Other Considerations** When choosing between these two approaches, consider the following factors: * **Number of cases**: If you need to check against a small number of values (e.g., 5-10), a switch statement might be sufficient. However, if you need to check against many values (e.g., hundreds or thousands), an array lookup approach is likely more efficient. * **Data size and complexity**: If you're working with large datasets or dynamic values, an array lookup approach can provide better performance. **Alternatives** Other approaches that might be used for this type of benchmark include: * Using a hash table (e.g., `Object.create()` or a third-party library like Lodash's `isEqual()` function) * Implementing a custom search algorithm (e.g., binary search or linear search) * Using a different data structure, such as a trie or suffix tree However, these alternatives are not explicitly mentioned in the provided benchmark definition.
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