Benchmark: Inverted map lookup vs. dynamic map lookup vs. Set1

Script Preparation code:

const testMap = {
    test0: '000',
    test1: '001',
    test2: '002',
    test3: '003',
    test4: '004',
    test5: '005',
    test6: '006',
    test7: '007',
    test8: '008',
    test9: '009'
};

let setA = new Set();
setA.add(000);
setA.add(001);
setA.add(002);
setA.add(003);
setA.add(004);
setA.add(005);
setA.add(006);
setA.add(007);
setA.add(008);
setA.add(009);

// tiny in-place inverting function using array reduce
const testMapInverted = Object.keys(testMap).reduce((acc, val) => {
    acc[testMap[val]] = val;
    return acc;
}, {});

function numberStringInvertedMapLookup(numberString) {
    return testMapInverted.hasOwnProperty(numberString);
}

function numberStringDynamicLookup(numberString) {
    return Object.values(testMap).includes(numberString);
}

function numberStringSet(numberString) {
    return setA.has(numberString);
}

function getRandomInt(max) {
  return Math.floor(Math.random() * Math.floor(max));
}

Tests:

Inverted map lookup
for(let i = 0; i < 10000; ++i) { numberStringInvertedMapLookup('00' + getRandomInt(20)); }
Dynamic lookup
for(let i = 0; i < 10000; ++i) { numberStringDynamicLookup('00' + getRandomInt(20)); }
Set
for(let i = 0; i < 10000; ++i) { numberStringSet('00' + getRandomInt(20)); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Inverted map lookup
Dynamic lookup
Set

Fastest: N/A

Slowest: N/A

Latest run results:

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Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks!

**Benchmark Overview**

The provided benchmark measures the performance of three different data structures: an inverted map, a dynamic map (or a regular object with `in` operator), and a Set. The test cases are designed to search for specific values within these data structures.

**Options Compared**

1. **Inverted Map**: A custom-built in-place inversion function uses `Array.prototype.reduce()` to create an inverted map from the original `testMap`. This approach requires manual implementation of the lookup logic.
2. **Dynamic Lookup**: The test case uses the `in` operator to check if a value exists within the `testMap`. This is a built-in JavaScript feature that allows for efficient lookup in objects.
3. **Set**: A Set data structure is used with the `has()` method to perform the search.

**Pros and Cons**

*   **Inverted Map**: Pros: Custom implementation, potentially faster if optimized. Cons: Requires manual implementation of the inversion function and may have higher overhead due to the extra computation.
*   **Dynamic Lookup**: Pros: Built-in JavaScript feature, efficient, and widely supported. Cons: May not be as fast for very large datasets due to the object lookup overhead.
*   **Set**: Pros: Fast, efficient, and optimized by the browser. Cons: Not suitable for all use cases (e.g., searching for specific values).

**Other Considerations**

*   The test case uses a small dataset with only 10,000 iterations, which may not be representative of real-world scenarios.
*   The inverted map implementation is quite simplistic and may not cover edge cases or handle large datasets efficiently.

**Library and Special JavaScript Features**

The benchmark uses the following libraries:

*   None explicitly mentioned; however, it relies on built-in JavaScript features like `Array.prototype.reduce()`, `Object.keys()`, and `Set`.

As for special JavaScript features, none are explicitly mentioned in this benchmark. However, the use of the `in` operator for dynamic lookup is a notable example.

**Alternatives**

If you're looking to optimize your code or improve performance:

*   Consider using more advanced data structures like maps (e.g., with caching or lazy loading) or trie-based data structures for efficient lookups.
*   Use existing JavaScript libraries or modules optimized for specific use cases, such as Set implementations with better performance characteristics.
*   Explore modern web performance optimization techniques and frameworks that can help improve the execution speed of your code.

For a more comprehensive understanding of each benchmark case's behavior and potential optimizations:

*   Study the documentation and examples provided by Mozilla (for `in` operator) or explore existing benchmarks and microbenchmarking resources for JavaScript.
*   Implement alternative data structures, such as maps with caching or lazy loading, and compare their performance characteristics.

Feel free to ask me any questions about this benchmark explanation.

Related benchmarks:

Inverted map lookup vs. dynamic map lookup vs. Set1 (version: 0)

Comparing performance of: Inverted map lookup vs Dynamic lookup vs Set

Created: 5 years ago by: Guest

Jump to the latest result

Inverted map lookup

Dynamic lookup

Set

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):