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set.has vs. Object key lookup2
(version: 0)
Comparing performance of:
includes vs key lookup
Created:
2 years ago
by:
Guest
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Script Preparation code:
var a = new Set([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]); var b = {1: true, 2: true, 3: true, 4: true, 5: true, 6: true, 7: true, 8: true, 9: true, 10: true}
Tests:
includes
return a.has(9)
key lookup
return b['9']
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
includes
key lookup
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll break down the provided JSON benchmark definition and explain what's being tested, compared options, pros and cons of each approach, library usage, special JavaScript features, and alternative approaches. **Benchmark Definition:** The benchmark is testing two different approaches to check if a value exists in a `Set` or an object: 1. Using the `has()` method on the `Set` (`set.has(9)`). 2. Using direct key lookup on the object (`b['9']`). **Script Preparation Code:** ```javascript var a = new Set([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]); var b = {1: true, 2: true, 3: true, 4: true, 5: true, 6: true, 7: true, 8: true, 9: true, 10: true}; ``` This code creates a new `Set` called `a` and an object `b` with the same keys as the `Set`. **Html Preparation Code:** (empty) Since this is a JavaScript benchmark, there's no need for HTML preparation. **Individual Test Cases:** There are two test cases: 1. **"includes"`**: This test case runs the expression `a.has(9)`. 2. **"key lookup"`**: This test case runs the expression `b['9']`. **Library Usage:** None **Special JavaScript Features:** None mentioned. Now, let's discuss the pros and cons of each approach: **1. Using `has()` method on the `Set` (`set.has(9)`):** Pros: * Efficient for checking membership in a set, as it uses a hash table to store elements. * Fast lookup time (O(1) on average). Cons: * May not be suitable for very large sets, as it can lead to slower performance due to the overhead of the `Set` data structure. **2. Direct key lookup on the object (`b['9']`):** Pros: * Fast and efficient for small objects or when the key is known. * Can be more convenient than using a set, especially when working with objects that have a fixed number of keys. Cons: * May not be suitable for very large objects or when the key is unknown (e.g., dynamic keys). * Can lead to slower performance if the object is large or has many keys. **Other Alternatives:** 1. **Using `in` operator**: Instead of using `has()` on the set, you could use the `in` operator to check if a value exists in the set. ```javascript a['9'] !== undefined; ``` This approach may be slower than using `has()`, but it's more concise and readable. 2. **Using a Map instead of an object**: If you need to perform key-value lookups frequently, consider using a `Map` data structure instead of an object. ```javascript var b = new Map([[9, true]]); ``` This approach can be faster than using an object for large datasets. 3. **Just-in-time (JIT) compilation**: Modern JavaScript engines like V8 (used by Chrome) have JIT compilers that can optimize performance-critical code paths. If you're concerned about the performance of your benchmark, consider enabling JIT compilation or optimizing your test cases accordingly.
Related benchmarks:
set.has vs. Object key lookup for real
set.has vs. Object key lookup for real without bang bang
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set.has vs. Object key in lookup
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