Benchmark: string map vs. for search

Script Preparation code:

globalThis.map = []
globalThis.objArr = []

for (let i = 0; i < 10000; i++) {
    map[`thing-${i}`] = { i }
    objArr.push({ i })
}

Tests:

string map
const v = map['thing-100']; console.log(v) delete map['thing-100'];
find
for (let i = objArr.length - 1; i >= 0; i--) { const v = objArr[i] if (v.i === 100) { objArr.splice(i, 1) console.log(v) return v } }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
string map
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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Let's break down the provided JSON and explain what's being tested, compared, and some pros/cons of different approaches.

**Benchmark Definition**

The benchmark definition is a JSON object that contains information about the test case. In this case:

* `Name`: The name of the benchmark ("string map vs. for search")
* `Description`: Not specified
* `Script Preparation Code`:
	+ Creates two empty arrays, `map` and `objArr`, using the global `this` context (`globalThis.map = []` and `globalThis.objArr = []`)
	+ Uses a `for` loop to populate `map` with 10,000 key-value pairs in the format `{ "thing-X" : { i } }` and push an object onto `objArr` for each iteration
* `Html Preparation Code`: Not specified

The script preparation code is crucial as it sets up the data structures used in the benchmark.

**Individual Test Cases**

There are two test cases:

1. **string map**
	+ The benchmark definition is a JavaScript expression that accesses an element of `map` using string interpolation (`const v = map['thing-100'];`)
	+ Deletes the accessed element from `map`
2. **find**
	+ The benchmark definition is a JavaScript function that iterates over `objArr` in reverse order to find an object with a specific property (`v.i === 100`)
	+ When found, removes the element from `objArr` using `splice()` and logs the found object

**Library Used**

* No specific library is mentioned in the benchmark definition or individual test cases. However, it's worth noting that the use of `globalThis.map = []` and `globalThis.objArr = []` implies that these arrays are global variables.

**Special JS Feature/Syntax**

None are explicitly mentioned in the provided code.

**Pros/Cons of Different Approaches**

1. **string map**
	* Pros:
		+ Efficient access to elements using string interpolation
		+ Removes the need for explicit looping or indexing
	* Cons:
		+ May have performance overhead due to string lookup
		+ Deletes the element from `map`, which may impact subsequent accesses
2. **find**
	+ Pros:
		+ Avoids potential performance issues with iterating over arrays
		+ Allows early termination if the desired element is not found
	* Cons:
		+ Requires explicit looping or indexing, which can be slower
		+ May require additional memory allocation for the `splice()` operation

**Other Alternatives**

Alternative approaches to these benchmark cases include:

1. **Using `Object.keys()` and `Array.prototype.forEach()`**
	* Pros: More concise and readable, avoids manual looping
	* Cons: May have performance overhead due to extra function calls
2. **Using `Array.prototype.findIndex()` and `Array.prototype.splice()`
	* Pros: More concise and readable, avoids manual looping
	* Cons: May have performance overhead due to extra function calls
3. **Using a library like Lodash's `find` or `indexOf` functions**
	* Pros: Provides optimized implementations with reduced overhead
	* Cons: Introduces additional dependencies and potential overhead for setup

Keep in mind that these alternatives may not necessarily outperform the original approach, but they can offer different trade-offs between conciseness, readability, and performance.

Related benchmarks:

string map vs. for search (version: 0)

Comparing performance of: string map vs find

Created: 3 years ago by: Guest

Jump to the latest result

string map

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):