Benchmark: shift vs pop - MeasureThat.net

Tests:

Shift
var n = 0; var t = []; while(true) { t[n] = n; n++; if(n==100000) break; } n = 0; while(true){ n++; t.shift(); if(n==100000) break; }
Pop
var n = 0; var t = []; while(true) { t[n] = n; n++; if(n==100000) break; } n = 0; while(true){ n++; t.pop(); if(n==100000) break; }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Shift
Pop

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.

I'll break down the provided benchmark test cases and explain what's being tested, the options compared, pros and cons of each approach, and other considerations.

**Benchmark Test Cases**

The two test cases are designed to measure the performance difference between using `shift()` and `pop()` methods on an array in JavaScript.

**Test Case 1: "Shift"**

```javascript
var n = 0;
var t = [];
while (true) {
    t[n] = n;
    n++;
    if (n == 100000)
        break;
}
n = 0;
while (true) {
    n++;
    t.shift();
    if (n == 100000)
        break;
}
```

**Test Case 2: "Pop"**

```javascript
var n = 0;
var t = [];
while (true) {
    t[n] = n;
    n++;
    if (n == 100000)
        break;
}
n = 0;
while (true) {
    n++;
    t.pop();
    if (n == 100000)
        break;
}
```

**What's being tested?**

The benchmark is testing the performance difference between using `shift()` and `pop()` methods on an array in JavaScript. The tests are comparing the number of executions per second for each method.

**Options compared**

The two options being compared are:

1. **Shift**: Removes the element at the specified position (0-based) from the end of the array.
2. **Pop**: Removes and returns the last element from the array.

**Pros and Cons of each approach:**

*   **Shift**:
    *   Pros:
        *   Faster for large arrays, as it only needs to traverse until the specified position, whereas `pop()` has to traverse the entire array.
        *   Better for use cases where you need to remove elements from a specific position.
    *   Cons:
        *   May not be suitable for use cases where you need to preserve the original order of elements (e.g., when sorting an array).
*   **Pop**:
    *   Pros:
        *   Simpler and more intuitive, as it only needs to return the last element without modifying the array.
        *   Suitable for use cases where preserving the original order of elements is important.
    *   Cons:
        *   Slower than `shift()` for large arrays due to traversing the entire array.

**Other considerations**

*   The tests are using a simple incrementing counter (`n`) as the array, which may not accurately reflect real-world scenarios. In practice, you would typically use a more dynamic data structure or algorithm.
*   There is no consideration for array resizing or memory allocation, which could impact performance in certain situations.

**Library and special JS features**

There are no libraries explicitly mentioned in the benchmark test cases. However, the `shift()` and `pop()` methods are part of the built-in JavaScript Array prototype.

No special JavaScript features or syntax are used in these tests.

**Alternatives**

Other alternatives for array manipulation and data structures can be explored depending on the specific requirements of your project:

*   For large datasets:
    *   Use `Map` (for key-value pairs) or `Set` (for unique values).
    *   Consider using more advanced data structures like `Deque` or `PriorityQueue`.
*   For simple array operations:
    *   Use `Array.prototype.slice()` or `Array.prototype.splice()`.
    *   Consider using libraries like Lodash for more functional programming approaches.

Keep in mind that the choice of data structure and algorithms depends on the specific requirements and constraints of your project.

Related benchmarks:

shift vs pop (version: 0)

Comparing performance of: Shift vs Pop

Created: 8 years ago by: Guest

Jump to the latest result

Shift

Pop

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):