Benchmark: testqwertyuiop - MeasureThat.net

Script Preparation code:

var keyCount = 16384
var keys = []
var map = new Map()
var obj = {}


// Hide lookup keys to prevent V8 cheating (AKA Optimizing)
var getConspicuousKey = seed => keys[Math.floor(seed * keyCount)]


// Setup out test objects w/ random values
for (let i=0; i<keyCount; i++) {
  let val = Math.random()
  let key = Math.random()
  keys.push(key)
  map.set(key,val)
  obj[key] = val
}

Tests:

Conspicuous Map lookup
for (let i=0; i<keyCount; i++) { let val = Math.random() let key = Math.random() map.set(key,val) }
Conspicuous Obj lookup
for (let i=0; i<keyCount; i++) { let val = Math.random() let key = Math.random() obj[key] = val }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Conspicuous Map lookup
Conspicuous Obj lookup

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 JSON and explain what's being tested, compared, and other considerations.

**Benchmark Definition**

The provided `Script Preparation Code` is used to prepare the test environment for the benchmark. It creates:

1. An array of 16,384 random keys (`keys`) and a Map (`map`) with those keys as indices.
2. An object (`obj`) with the same keys as the map.
3. A function (`getConspicuousKey`) that returns a random key from the `keys` array.

The purpose of this setup is to create a scenario where the benchmark can measure the performance of looking up values in both the Map and object data structures.

**Options Compared**

Two options are compared:

1. **Map lookup**: The `Benchmark Definition` uses a simple loop that iterates over the keys, looks up the corresponding value in the `map`, and assigns it to an empty variable.
2. **Object lookup**: The second `Benchmark Definition` is similar to the first one, but instead of using the `map` object, it directly accesses the `obj` object using the random key as an index.

**Pros and Cons**

* **Map Lookup**:
	+ Pros: Maps are designed for efficient key-value lookups, making this operation relatively fast.
	+ Cons: In this specific benchmark, the Map's internal implementation might not be optimized for sequential lookups, potentially leading to slower performance compared to object lookups.
* **Object Lookup**:
	+ Pros: Objects are designed for fast property access, and in this case, using a random key as an index can lead to faster lookup times compared to using a Map.
	+ Cons: This approach relies on the object's internal implementation and caching mechanisms, which might not always optimize performance.

**Library Usage**

There is no explicit library usage mentioned in the `Script Preparation Code`. However, it's worth noting that modern JavaScript engines like V8 (used by Chrome) have optimized internal data structures for efficient lookups. The use of a Map and object with random keys is likely intended to bypass some of these optimizations and measure the performance under various conditions.

**Special JS Feature/Syntax**

There are no special JavaScript features or syntax used in this benchmark, aside from the `let` and `const` keywords, which are part of the ECMAScript standard.

**Alternatives**

If you wanted to run this benchmark with different options, you could try:

* Using a different data structure, such as an array or a Set, for the lookups.
* Adding more complexity to the lookup operations, such as using a recursive function or involving more properties of the object.
* Measuring performance on different browsers, platforms, or devices.

Keep in mind that modifying the benchmark's setup and test cases might require significant changes to the `Script Preparation Code` and could lead to less representative results.

Related benchmarks:

testqwertyuiop (version: 0)

Comparing performance of: Conspicuous Map lookup vs Conspicuous Obj lookup

Created: 2 years ago by: Guest

Jump to the latest result

Conspicuous Map lookup

Conspicuous 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):