Benchmark: String concatenation keys vs Multidimensional array keys - 3D

Script Preparation code:

var numberList = Array(100).fill().map((x, i) => i);

var concatList = numberList.reduce((acc, i1) => {
  numberList.forEach((i2) => {
    numberList.forEach((i3) => {
      acc[`${i2}_${i2}_${i3}`] = 'string';
    });
  });
  return acc;
}, {});

var twoDList = numberList.reduce((acc, i1) => {
  numberList.forEach((i2) => {
    numberList.forEach((i3) => {
      if (!acc[i1]) acc[i1] = {};
      if (!acc[i1][i2]) acc[i1][i2] = {};
      acc[i1][i2][i3] = 'string';
    });
  });
  return acc;
}, {});

Tests:

String concatenation keys
numberList.forEach((i1) => { numberList.forEach((i2) => { numberList.forEach((i3) => { const variable = concatList[`${i2}_${i2}_${i3}`]; }); }); });
Multidimensional array keys
numberList.forEach((i1) => { numberList.forEach((i2) => { numberList.forEach((i3) => { const variable = twoDList[i2][i2][i3]; }); }); });

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
String concatenation keys
Multidimensional array keys

Fastest: N/A

Slowest: N/A

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

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Let's break down the provided benchmark and explain what's being tested.

**Benchmark Definition**

The benchmark compares two approaches for accessing elements in a multidimensional array:

1. **Concatenated string keys**: The code uses concatenated strings to access elements in the `concatList` array, which is created using `Array(100).fill().map((x, i) => i)` and then reduced to create a 3D array.
2. **Multidimensional array keys**: The code uses nested arrays to access elements in the `twoDList` array, which is also created using `Array(100).fill().map((x, i) => i)` and then reduced to create a 2D array.

**Options Compared**

The benchmark compares the performance of two approaches:

1. **Concatenated string keys**: This approach uses concatenated strings to access elements in the `concatList` array.
2. **Multidimensional array keys**: This approach uses nested arrays to access elements in the `twoDList` array.

**Pros and Cons**

Here are some pros and cons of each approach:

**Concatenated String Keys**

Pros:

* Simple and intuitive implementation
* No additional data structure overhead

Cons:

* May result in slower performance due to string concatenation and lookup

In JavaScript, string concatenation can be slow because it involves creating a new string object and then searching for the desired index. This approach may lead to slower performance compared to using an array with integer indices.

**Multidimensional Array Keys**

Pros:

* Fast access times due to array indexing
* No additional data structure overhead

Cons:

* More complex implementation (nested arrays)
* May require more memory if dealing with large arrays

In JavaScript, accessing elements in a multidimensional array is generally faster than using concatenated strings because it involves direct array indexing. However, this approach requires creating an additional data structure, which can lead to increased memory usage.

**Library Usage**

There are no libraries explicitly mentioned in the benchmark definition or individual test cases. However, it's worth noting that JavaScript arrays and objects have built-in performance optimizations for indexing and lookup operations.

**Special JS Features or Syntax**

The benchmark uses some advanced JavaScript features:

* `Array(100).fill().map((x, i) => i)` creates a new array with 100 elements, where each element is the index of the original array.
* The `reduce` method is used to create multidimensional arrays by iteratively combining smaller arrays.

These features are not specific to this benchmark and are commonly used in JavaScript development for creating dynamic data structures.

**Alternatives**

If you're interested in exploring alternative approaches, here are some options:

1. **Hash tables**: Instead of using multidimensional arrays or concatenated strings, you could use a hash table (e.g., `Object` in JavaScript) to store and retrieve data.
2. **NumPy-like libraries**: For large-scale numerical computations, consider using NumPy-like libraries like `ndarray` from the `@stdlib` package or `TensorFlow.js`.
3. **Custom data structures**: Depending on your specific use case, you might want to create a custom data structure optimized for performance and memory usage.

Keep in mind that these alternatives may require significant changes to your codebase and are not always necessary for small-scale projects like this benchmark.

Related benchmarks:

String concatenation keys vs Multidimensional array keys - 3D (version: 0)

Comparing performance of: String concatenation keys vs Multidimensional array keys

Created: 5 years ago by: Registered User

Jump to the latest result

String concatenation keys

Multidimensional array keys

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):