Benchmark: Map vs Object: Full benchmark

Script Preparation code:

var mapWrite = new Map();
var objWrite = {};

var mapRead = new Map();
var objRead = {};

var read = 'a';

mapRead.set(read, read);
objRead[read] = read;

var count = 1000;

Tests:

Map Write
for (i = 0; i < count; i++) { mapWrite.set(i, i); };
Object Write
for (i = 0; i < count; i++) { objWrite[i] = i; };
Map Read
for (i = 0; i < count; i++) { mapRead.get(read); };
Object Read
for (i = 0; i < count; i++) { objRead[read]; };

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Map Write
Object Write
Map Read
Object Read

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.4.1 Safari/605.1.15

Browser/OS: Safari 17 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
Map Write	16289.3 Ops/sec
Object Write	18942.6 Ops/sec
Map Read	12807.9 Ops/sec
Object Read	12781.2 Ops/sec

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 its test cases.

**Benchmark Overview**

The benchmark, named "Map vs Object: Full benchmark", compares the performance of two data structures in JavaScript: Maps (also known as hash maps) and objects. A Map is an unordered collection of key-value pairs, while an object is a collection of properties with values. The benchmark tests the write and read operations on both data structures.

**Test Cases**

There are four test cases:

1. **Map Write**: This test case measures the time it takes to write 1000 key-value pairs into a Map.
2. **Object Write**: This test case measures the time it takes to write 1000 key-value pairs into an object.
3. **Map Read**: This test case measures the time it takes to read 1000 values from a Map using the `get()` method.
4. **Object Read**: This test case measures the time it takes to read 1000 values from an object using the `[]` syntax (i.e., accessing properties directly).

**Options Compared**

The benchmark compares the performance of two approaches:

* Using Maps for both write and read operations
* Using objects for both write and read operations

**Pros and Cons of Each Approach**

**Maps:**

Pros:

* Fast lookups: Maps use a hash table, which provides fast lookup times (O(1) average case).
* Efficient insertion and deletion: Maps can insert or delete elements quickly.

Cons:

* May require more memory due to the overhead of the hash table.
* Can be slower for very large datasets if the hash function is poorly implemented.

**Objects:**

Pros:

* Lightweight: Objects are typically smaller in memory compared to Maps.
* Simple and intuitive API.

Cons:

* Slower lookups: Object lookups can be O(n) in the worst case (linear search).
* Insertion and deletion can be slower than for Maps.

**Library Used**

The benchmark uses the built-in `Map` and `Object` data structures in JavaScript. The `Map` object provides a hash table-like interface, while the `Object` object provides a simple key-value pair interface.

**Special JS Features or Syntax**

None are explicitly mentioned, but note that some browsers may have extensions or patches that affect the performance of these tests. Additionally, the use of `for (i = 0; i < count; i++)` loops is a common pattern in benchmarking and provides an efficient way to iterate over large numbers of iterations.

**Other Alternatives**

Some alternative approaches to measuring performance could include:

* Using a profiler or benchmarking tool that provides more detailed information about CPU utilization, memory usage, and other metrics.
* Comparing the performance of different JavaScript engines or virtual machines (e.g., V8, SpiderMonkey).
* Testing with larger datasets or more complex operations (e.g., insertion/deletion of elements, sorting, etc.).

Keep in mind that these alternatives may require additional setup, configuration, or expertise to execute effectively.

Related benchmarks:

Map vs Object: Full benchmark (version: 0)

Lookup of map vs object

Comparing performance of: Map Write vs Object Write vs Map Read vs Object Read

Created: 4 years ago by: Registered User

Jump to the latest result

Map Write

Object Write

Map Read

Object Read

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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