Benchmark: push vs set performance

Tests:

Push
const list = []; const testObject = { param: "val", param1: "val1", param2: "va2", param3: "val3", param4: "val4", param5: "val5" } list.push(testObject)
Add set
const listSet = new Set(); const testObject = { param: "val", param1: "val1", param2: "va2", param3: "val3", param4: "val4", param5: "val5" } listSet.add(testObject)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Push
Add 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):

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Measuring performance in JavaScript is crucial for optimizing code and ensuring it runs efficiently across different browsers and devices.

The provided JSON represents two benchmark test cases: `Push` and `Add Set`. Both tests compare the performance of using the `push()` method versus the `set()` method to add an object to a collection (array or set, respectively).

**What's being tested?**

In each test case:

1.  A new array (`list`) or set (`listSet`) is created.
2.  An object with five properties (`testObject`) is defined and added to the respective data structure using `push()` or `add()`.
3.  The execution time for adding the object to the collection is measured.

**Options compared:**

There are two main approaches being tested:

1.  **`push()`**: This method adds a new element to the end of an array.
2.  **`set()`**: This method adds an element to a set data structure.

**Pros and Cons of each approach:**

**`push()`:**

*   Pros:
    *   Generally faster for large datasets, since it uses a contiguous allocation mechanism that's optimized by most browsers.
    *   More familiar to developers who are used to working with arrays.
*   Cons:
    *   May be slower for smaller datasets or when the data is not stored in a contiguous block of memory.
    *   Can lead to slower performance if the array grows rapidly, as it needs to allocate new memory blocks.

**`set()`:**

*   Pros:
    *   Faster for small datasets or when working with sets that have many duplicate elements.
    *   More efficient for collections that don't need to be stored in a contiguous block of memory.
*   Cons:
    *   Less familiar to developers who are used to working with arrays.
    *   May not perform as well on older browsers that lack native support for `Set` data structures.

**Library usage:**

In this benchmark, neither test case uses any external libraries. The JavaScript standard library is sufficient for these simple operations.

**Special JS features or syntax:**

There are no special JavaScript features or syntax used in these benchmark tests. They are straightforward examples of using built-in methods (`push()` and `set()`) to manipulate data structures.

**Alternative approaches:**

Other alternatives to consider when working with arrays and sets include:

*   **Using `splice()`**: This method removes elements from an array and can be used to add new elements in some cases. However, it's generally slower than using `push()` for large datasets.
*   **Using a linked list data structure**: Instead of using an array or set, you could create a linked list with nodes that contain the data. This approach can provide better performance for certain use cases, but it requires more memory and is less familiar to many developers.
*   **Using WebAssembly (WASM)**: For optimal performance, especially in browser environments, you might consider using WASM-based libraries or frameworks that leverage native code generation for optimized performance.

In conclusion, the provided benchmark tests compare the performance of `push()` versus `set()` methods when working with arrays and sets. By understanding the pros and cons of each approach, developers can make informed decisions about which method to use in their own projects, considering factors like dataset size, browser support, and performance requirements.

Related benchmarks:

push vs set performance (version: 0)

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Comparing performance of: Push vs Add set

Created: 6 years ago by: Guest

Jump to the latest result

Push

Add 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):