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swich vs hash vs map for string key
(version: 0)
Comparing performance of:
switch vs hash vs map
Created:
3 years ago
by:
Guest
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Script Preparation code:
var x = 'DELETE'; var hash = { 'OPTHONS': () => {}, 'GET': () => {}, 'POST': () => {}, 'PUT': () => {}, 'PATCH': () => {}, 'DELETE': () => {} } var map = new Map() map.set('OPTHONS', () => {}) map.set('GET', () => {}) map.set('POST', () => {}) map.set('PUT', () => {}) map.set('PATCH', () => {}) map.set('DELETE', () => {})
Tests:
switch
switch (x) { case 'OPTHONS': break; case 'GET': break; case 'POST': break; case 'PUT': break; case 'PATCH': break; case 'DELETE': break; }
hash
hash[x];
map
map.get(x)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
switch
hash
map
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark and explain what is being tested, compared, and their pros and cons. **Benchmark Overview** The benchmark tests three different approaches to iterate over a string of key-value pairs: 1. `switch` statement 2. Hash table lookup (`hash[x]`) 3. Map iteration (`map.get(x)`) **Switch Statement (Test Case 1)** The switch statement is compared to the other two approaches. Here's why: ```javascript Benchmark Definition: "switch (x) {\r\n case 'OPTHONS': break;\r\n case 'GET': break;\r\n case 'POST': break;\r\n case 'PUT': break;\r\n case 'PATCH': break;\r\n case 'DELETE': break;\r\n}" ``` The switch statement is tested by iterating over the `OPTHONS` array using a traditional switch statement. The browser's execution count per second is recorded. **Pros and Cons** Pros: * Fast and efficient for small to medium-sized data sets * Easy to understand and maintain Cons: * Not suitable for large data sets due to its overhead * Limited support in older browsers **Hash Table Lookup (Test Case 2)** The hash table lookup is compared using the following code: ```javascript Benchmark Definition: "hash[x];" ``` Here, a simple hash table `hash` with predefined keys and values is used. The browser's execution count per second is recorded. **Pros and Cons** Pros: * Fast for small data sets due to its direct access nature * Supports large data sets Cons: * May have performance issues if the hash table is too large or if collisions occur frequently * Requires predefined keys and values, which might not be feasible in all scenarios **Map Iteration (Test Case 3)** The map iteration is compared using the following code: ```javascript Benchmark Definition: "map.get(x)" ``` Here, a Map data structure with predefined key-value pairs is used. The browser's execution count per second is recorded. **Pros and Cons** Pros: * Fast for large data sets due to its lazy evaluation nature * Supports dynamic key-value pairs Cons: * May have performance issues if the map is too large or if iteration overhead is significant * Requires modern browsers that support Map data structure **Library Used** No specific library is used in this benchmark. However, it's worth noting that `Map` and `Object` (not explicitly mentioned) are built-in JavaScript objects. **Special JS Feature/Syntax** The `switch` statement and hash table lookup use a feature of JavaScript called "static typing" for the case values. This means that the value on the right side of the assignment operator (`=>`) is used to determine which branch to execute. The map iteration uses a more modern approach, leveraging the built-in Map data structure. **Other Alternatives** If you need alternative approaches, here are some options: 1. **Array.prototype.forEach()**: Similar to map iteration but may have performance issues for very large datasets. 2. **Regular Expressions (Regex)**: Can be used as an alternative to switch statements or hash table lookups, depending on the specific use case and desired outcome. 3. **JSON parsing**: For iterating over key-value pairs in a JSON string. Note that each of these alternatives has its own trade-offs and performance characteristics, which may affect the results of this benchmark.
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