Benchmark: Map lookup 3 - MeasureThat.net

Script Preparation code:

let someMap = {}
for (let i = 0; i < 100; i++) {
    someMap[`${i}-test`] = i * 2
}

let someMapNumber = {}
for (let i = 0; i < 100; i++) {
    someMap[i] = i * 2
}

Tests:

string
let someMap = {} for (let i = 0; i < 100; i++) { someMap[`${i}-test`] = i * 2 } for (let i = 0; i < 100; i++) { someMap[i] = someMap[i] * 2 }
number
let someMapNumber = {} for (let i = 0; i < 100; i++) { someMapNumber[i] = i * 2 } for (let i = 0; i < 100; i++) { someMapNumber[i] = someMapNumber[i] * 2 }
array
let array = [] for (let i = 0; i < 100; i++) { array.push(i * 2) } for (let i = 0; i < 100; i++) { array[i] = array[i] * 2 }
map
let someMap = new Map() for (let i = 0; i < 100; i++) { someMap[i] = i * 2 } for (let i = 0; i < 100; i++) { someMap[i] = someMap[i] * 2 }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
string
number
array
map

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark data.

**Benchmark Definition**

The benchmark definition is a JSON object that describes the experiment being performed. In this case, there are two main parts:

1. **Script Preparation Code**: This code sets up a test map (`someMap`) and populates it with key-value pairs using a loop.
2. **Html Preparation Code**: This section is empty in the provided benchmark definition, but it's intended to provide any necessary HTML setup for the test.

However, looking at the individual test cases, we see that there are additional scripts being executed before the main script:

1. `for (let i = 0; i < 100; i++) {\r\n    someMap[`${i}-test`] = i * 2\r\n}\r\n`
2. `for (let i = 0; i < 100; i++) {\r\n\tsomeMap[i] = someMap[i] * 2\r\n}`
3. `let array = []` followed by a similar loop as the map
4. `someMapNumber` is an empty object with key-value pairs set using a loop, just like `someMap`

**Individual Test Cases**

The individual test cases are designed to compare different data structures and operations:

1. **String**: The script sets up a map (`someMap`) with string keys and values.
2. **Number**: Similar to the string case, but uses numbers as keys and values.
3. **Array**: The script creates an array, populates it with values using another loop, and then modifies individual elements of the array.
4. **Map**: This test case uses a `Map` object instead of an object literal (`someMap`) to store key-value pairs.

**Pros and Cons**

Here's a brief analysis of each data structure and operation:

1. **String**:
	* Pros: Simple to use, easy to implement, and often faster for small datasets.
	* Cons: May be slower than other data structures for large datasets due to string overhead.
2. **Number**:
	* Pros: Similar to strings, with the added benefit of being potentially faster due to type coercion.
	* Cons: The same as strings, regarding dataset size limitations.
3. **Array**:
	* Pros: Provides efficient access and modification capabilities for large datasets.
	* Cons: May be slower than objects or maps for small datasets due to overhead.
4. **Map**:
	* Pros: Offers fast key-value lookup, insertion, and deletion operations.
	* Cons: Can be slower than arrays for simple data access scenarios.

**Libraries and Special Features**

In this benchmark, the following libraries are used:

1. `Map`: The built-in `Map` object is used in the "map" test case to store key-value pairs.
2. No external library is explicitly mentioned in any of the individual test cases. However, some JavaScript features like `let` and `const` declarations, arrow functions, and template literals might be used.

**Other Alternatives**

Some alternative data structures that could be tested instead of the ones presented here are:

1. **Set**: A set is an unordered collection of unique values, similar to a map but without keys.
2. **WeakMap**: A weak map is a variant of the map object that allows for garbage collection of keys.
3. **Sparse Arrays**: For very large datasets, sparse arrays (i.e., arrays with many empty elements) might offer performance advantages.

Please note that this analysis assumes a general understanding of JavaScript and its data structures. If you have any specific questions or would like further clarification on any aspect, feel free to ask!

Related benchmarks:

Map lookup 3 (version: 0)

Comparing performance of: string vs number vs array vs map

Created: 5 years ago by: Guest

Jump to the latest result

string

number

array

map

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):