Benchmark: Compare check existing on Object / Set / Map

Tests:

object
const set = {a: null, b: null, c: null, d: null, e: null} const has_key = !!set['c']
set
const set = new Set(['a', 'b', 'c', 'd', 'e']) const has_key = set.has('c')

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
object
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.

Measuring JavaScript performance is crucial in understanding how different languages and environments optimize their code. Let's break down the provided benchmark definition and test cases.

**Benchmark Definition**

The benchmark definition is essentially a description of what should be tested. In this case, it's about comparing three data structures: Objects, Sets, and Maps (using Map).

**Options being compared**

Three main options are being compared:

1. **Objects**: Using dot notation to access properties (`const has_key = !!set['c']`)
2. **Sets**: Using the `has()` method provided by the Set API (`const has_key = set.has('c')`)
3. **Maps**: Although not explicitly tested in this benchmark, we can infer that a Map would also be used similarly to an object.

**Pros and Cons**

Here's a brief summary of each approach:

1. **Objects (dot notation)**:
	* Pros: Simple, widely supported, and familiar to most developers.
	* Cons: Can lead to slower performance due to property lookup in objects.
2. **Sets (has() method)**:
	* Pros: Fast lookup times, optimized by browsers for Set-like operations.
	* Cons: Not as flexible or widely supported as dot notation.
3. **Maps**:
	* Pros: Fast lookup and key existence checks, suitable for large datasets.
	* Cons: Less familiar to some developers, may require additional setup.

**Libraries and special features**

In the individual test cases, no specific libraries are used beyond the built-in JavaScript APIs (Object, Set, and Map).

No special JavaScript features or syntax are used in these benchmarks. However, if we were to explore more advanced topics like async/await, promises, or modern language features like arrow functions or destructuring, that would be a separate discussion.

**Alternatives**

Other alternatives for testing data structure performance could include:

1. Using arrays instead of Sets or Maps.
2. Adding more test cases with different property access methods (e.g., bracket notation, property accessor functions).
3. Exploring other data structures like Linked Lists or Trees.
4. Testing for specific browser optimizations or hardware-specific features.

By using a combination of these alternatives, we can gain a more comprehensive understanding of how JavaScript environments optimize performance and handle various data structure usage patterns.

Related benchmarks:

Compare check existing on Object / Set / Map (version: 0)

Comparing performance of: object vs set

Created: 5 years ago by: Registered User

Jump to the latest result

object

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):