Benchmark: Map vs Object GetAndSet

Script Preparation code:

var map = new Map();
var obj = {};

map.set('a', 5);
obj['a'] = 5;

var i = 0, count = 1000, a;

Tests:

Map lookup
for (i = 0; i < count; i++) { a = map.get('a'); map.set('a', 2); }
Obj lookup
for (i = 0; i < count; i++) { a = obj['a']; obj['a']=2; }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Map lookup
Obj lookup

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.

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

**What is being tested?**

The benchmark measures the performance difference between using a `Map` data structure and an object (`{}`) for setting and getting values with the `getAndSet` operation.

In more detail, each test case:

1. Creates a new `Map` instance and sets a value on it (`map.set('a', 5)`).
2. Creates a new object (`{}`) and sets a value on it (`obj['a'] = 5`).
3. Repeats the get-and-set operation for a specified number of times (in this case, `count=1000`) using both the `Map` instance and the object.

**Options compared**

The two options being compared are:

1. **Object (`{}`)**: Using an object to store key-value pairs.
2. **Map**: Using a Map data structure to store key-value pairs.

**Pros and cons of each approach:**

* **Object (`{}`)**:
	+ Pros:
		- Lightweight and simple to use.
		- Fast lookup and set operations are not as efficient as Maps, but still relatively fast.
	+ Cons:
		- No inherent ordering or iteration methods (e.g., `for...in`, `Object.keys()`).
		- Does not support multiple values for a single key (only one value per key).
* **Map**:
	+ Pros:
		- Efficient lookup and set operations, with an average time complexity of O(1).
		- Supports iteration methods (`for...of`, `map()`, `entries()`).
		- Can store multiple values for a single key.
	+ Cons:
		- Slightly heavier than objects due to the overhead of the Map data structure.

**Library used**

In this benchmark, no specific library is being tested. However, if we were to extend this benchmark to test other libraries, some examples could be:

* `Lodash` or `Underscore.js` for utility functions that might affect performance (e.g., `_.map()` vs. simple array iteration).
* A caching library like `cache-manager` for storing and retrieving cached values.

**Special JavaScript feature/syntax**

In this benchmark, the only special feature used is the `for...of` loop for iterating over a Map's entries. If we were to extend this benchmark to test other features or syntax, some examples could be:

* `async/await` vs. traditional callback-based code.
* `Promises` vs. native async/await support.

However, since the current benchmark only tests basic iteration methods, there is no need to delve into these special features.

**Other alternatives**

If you were to create a similar benchmark for other data structures or operations, some alternatives could be:

* Using an array instead of a Map for storing key-value pairs.
* Testing different caching strategies (e.g., `LRU Cache`, `Memoization`) in the context of the `getAndSet` operation.
* Comparing the performance of different JavaScript engines (e.g., V8, SpiderMonkey) or environments (e.g., Node.js, browser-based).

Keep in mind that these alternatives would require modifying the benchmark definition and script preparation code to accommodate the new data structure or operation.

Related benchmarks:

Map vs Object GetAndSet (version: 0)

Lookup and set of map vs object

Comparing performance of: Map lookup vs Obj lookup

Created: 3 years ago by: Guest

Jump to the latest result

Map lookup

Obj lookup

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):