Benchmark: indexing vs find

Tests:

indexed
let objectArray = [{text: "4"},{text: "2"},{text: "2"},{text: "4"},{text: "2"},{text: "2"},]; let total = 0; let indexed = [0,3]; for(let i = 0; i < indexed.length; i++){ total += Number(objectArray[indexed[i]].text); objectArray.splice(indexed[i], 1); changeIndex(i, 1); } function changeIndex(from, change){ for(let i = from; i < indexed; i++){ indexed += change; } }
find
let objectArray = [{text: "4"},{text: "2"},{text: "2"},{text: "4"},{text: "2"},{text: "2"},]; let total = 0; let targetIndex = 0; let target = objectArray.find(findCase); while(target){ total += Number(target.text); objectArray.splice(targetIndex, 1); target = objectArray.find(findCase); } function findCase(e,i){ if(e.text == "4"){ targetIndex = i; return true; } }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
indexed
find

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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**Benchmark Overview**

The provided JSON represents two individual test cases for a JavaScript benchmarking website, MeasureThat.net. The tests aim to compare the performance of two different approaches: indexing and finding.

**Test Cases**

There are only two test cases:

1. **indexed**: This test case uses an indexed approach, where the array is traversed using an index (in this case, `indexed` and its length). The elements are accessed directly by their index.
2. **find**: This test case uses a find-all approach, where the array is traversed by repeatedly finding the next element that meets a certain condition (`text == "4"`).

**Options Compared**

The two options being compared are:

* Indexing (indexed): Directly accessing elements by their index.
* Finding (find): Traversing the array by repeatedly finding the next element that meets a certain condition.

**Pros and Cons of Each Approach**

### Indexed Approach

Pros:

* Typically faster, since direct access to elements is more efficient than searching for them.
* Can be optimized using techniques like caching or indexing.

Cons:

* Requires knowledge of the index values in advance.
* May not work well if the array size changes dynamically.

### Finding Approach

Pros:

* More flexible, as it doesn't require knowing the index values in advance.
* Can handle dynamic changes to the array size.

Cons:

* Typically slower, since searching for elements is less efficient than direct access.
* Requires more computations to find the next matching element.

**Library Usage**

There are no libraries explicitly mentioned in the provided code. However, some libraries like Lodash or underscore.js might be used indirectly by implementing utility functions (e.g., `findCase`).

**Special JavaScript Features or Syntax**

The provided code uses:

* ES6 arrow function syntax (`=>`) for defining the `changeIndex` and `findCase` functions.
* Template literals (`\r\nlet total = 0;\r\nlet indexed = [0,3];\r\n`) to define string literals with multiple lines.

**Other Alternatives**

If you're looking for alternatives or more optimized approaches, consider:

1. **Binary search**: Instead of iterating through the entire array, use binary search to find elements in a sorted array.
2. **Hashing**: Use a hash table to store and retrieve elements efficiently, reducing the need for searching.
3. **Caching**: Store frequently accessed elements or results in a cache to avoid redundant computations.

Keep in mind that the best approach will depend on the specific requirements of your use case and performance constraints.

Related benchmarks:

indexing vs find (version: 0)

Comparing performance of: indexed vs find

Created: 2 years ago by: Guest

Jump to the latest result

indexed

find

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):