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query test(keys)
(version: 0)
Comparing performance of:
pr vs move outside keys vs new
Created:
3 years ago
by:
Guest
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Script Preparation code:
const obj= { test1: {}, test2: {}, test3: {}, test4: {}, test5: {}, test6: {}, test7: {}, } function retrievePatientResourceTypes(queryTypes) { const filterTypes = []; if (queryTypes && typeof queryTypes === 'string') { const types = queryTypes.split(','); for (let type of types) { filterTypes.push(type.toLowerCase()); } } return Object.keys(obj).filter( t => !filterTypes.length || filterTypes.includes(t.toLowerCase()) ); } const keys = Object.keys(obj).map(i => i.toLowerCase()) function retrievePatientResourceTypes2(queryTypes) { const filterTypes = []; if (queryTypes && typeof queryTypes === 'string') { const types = queryTypes.split(','); for (let type of types) { filterTypes.push(type.toLowerCase()); } } return keys.filter( t => !filterTypes.length || filterTypes.includes(t) ); } const map = Object.keys(obj).map(i => i.toLowerCase()).reduce((acc, i) => ({ ...acc, [i]: true }), {}) function retrievePatientResourceTypes3(queryTypes) { if(!queryTypes || typeof queryTypes !== 'string') { return keys; } const filterTypes = queryTypes.split(',') return filterTypes .map(i => i.toLowerCase()) .filter(i => map[i]) }
Tests:
pr
retrievePatientResourceTypes('test2,test3,test6')
move outside keys
retrievePatientResourceTypes2('test2,test3,test6')
new
retrievePatientResourceTypes3('test2,test3,test6')
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
pr
move outside keys
new
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 dive into the world of JavaScript microbenchmarks! **Benchmark Definition JSON** The provided JSON represents a benchmark definition for measuring the performance of three different implementations of a function called `retrievePatientResourceTypes`. This function appears to retrieve an array of keys from an object (`obj`) based on a query string. Here's a breakdown of the options being compared: 1. **`retrievePatientResourceTypes`**: The original implementation, which uses a simple filter method to check if the query types are included in the object's keys. 2. **`retrievePatientResourceTypes2`**: An alternative implementation that moves the filtering outside the `Object.keys()` call. Instead of filtering on the fly, it first creates an array of keys and then filters that array based on the query types. 3. **`retrievePatientResourceTypes3`**: Another alternative implementation that uses a mapping object (`map`) to filter out keys that are not in the query types. **Pros and Cons** Here's a brief summary of each approach: 1. **Original Implementation (`retrievePatientResourceTypes`)**: * Pros: Simple, efficient, and easy to understand. * Cons: May have performance issues for large objects or complex queries. 2. **Filtered Outside the `Object.keys()` Call (`retrievePatientResourceTypes2`)**: * Pros: Can be faster for large objects, as it avoids filtering on the fly. * Cons: Requires additional memory allocation and can lead to slower startup times. 3. **Using a Mapping Object (`retrievePatientResourceTypes3`)**: * Pros: Can be more efficient for small objects or simple queries, as it allows for early filtering. * Cons: May have higher overhead due to the creation of the mapping object. **Library Used** There is no explicit library mentioned in the provided JSON. However, based on the code structure and the use of `Object.keys()` and array methods, it's likely that this benchmark uses the built-in JavaScript Object and Array APIs. **Special JS Feature or Syntax** The provided JSON doesn't explicitly mention any special JavaScript features or syntax. However, it does make use of some common JavaScript best practices, such as: * Using arrow functions (`() => { ... }`) * Creating objects using literal syntax (`{ key: value }`) * Utilizing array methods (e.g., `map()`, `filter()`) **Other Alternatives** If you're looking for alternative implementations or optimizations for this benchmark, consider the following options: 1. **Using a caching mechanism**: Implementing a cache to store frequently accessed keys can improve performance. 2. **Employing parallel processing**: If possible, using parallel processing techniques (e.g., Web Workers) could speed up execution times. 3. **Optimizing object creation**: Using techniques like memoization or lazy loading for object creation might reduce overhead. Keep in mind that the best approach will depend on the specific use case and requirements of your project.
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