Benchmark: msgpackr vs. JSON

HTML Preparation code:

<script src="https://unpkg.com/msgpackr@1.5.5/dist/index.min.js"></script>

Script Preparation code:

var stringData = {"glossary":{"title":"example glossary","GlossDiv":{"title":"S","GlossList":{"GlossEntry":{"ID":"SGML","SortAs":"SGML","GlossTerm":"Standard Generalized Markup Language","Acronym":"SGML","Abbrev":"ISO 8879:1986","GlossDef":{"para":"A meta-markup language, used to create markup languages such as DocBook.","GlossSeeAlso":["GML","XML"]},"GlossSee":"markup"}}}}};
var numberData = [
  [1, 2, 3, 4, -1, true, null],
  [3, 6, 5, 4,  1, false, 7],
  [3, 2, 8, 1,  0, true, 0],
  [10, 11, 12, 13,  14, false, true],
  [15, 16, 17, 18, 19, true, null],
  [20, 21, 22, 23,  24, false, 7],
  [25, 26, 27, 28,  29, true, 0],
  100, 200, 300,
  [
    [1, 0, 0, 0, 0],
    [0, 1, 0, 0, 0],
    [0, 0, 1, 0, 0],
    [0, 0, 0, 1, 0],
    [0, 0, 0, 0, 1]
  ]
];
var jsonEncodedStrings = JSON.stringify(stringData),
    jsonEncodedNumbers = JSON.stringify(numberData),
    msgpackEncodedStrings = msgpackr.pack(stringData),
    msgpackEncodedNumbers = msgpackr.pack(numberData);

Tests:

MsgPack Strings Encode
var result = msgpackr.pack(stringData);
JSON Strings Encode
var result = JSON.stringify(stringData);
MsgPack Numbers Encode
var result = msgpackr.pack(numberData);
JSON Numbers Encode
var result = JSON.stringify(numberData);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
MsgPack Strings Encode
JSON Strings Encode
MsgPack Numbers Encode
JSON Numbers Encode

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 6 months ago)

User agent: Mozilla/5.0 (Linux; Android 10; K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/141.0.0.0 Mobile Safari/537.36

Browser/OS: Chrome Mobile 141 on Android

View result in a separate tab

Test name	Executions per second
MsgPack Strings Encode	497077.1 Ops/sec
JSON Strings Encode	1772347.4 Ops/sec
MsgPack Numbers Encode	916259.7 Ops/sec
JSON Numbers Encode	1500741.9 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down what's being tested in the provided benchmark.

**Overview**

The benchmark compares the performance of two encoding formats: MessagePack (MsgPack) and JSON. Specifically, it tests the encoding speed for both strings and numbers using these two formats.

**Options being compared**

1. **JSON Strings Encode**: Encoding a string data object using `JSON.stringify()`.
2. **JSON Numbers Encode**: Encoding an array of numbers using `JSON.stringify()`.
3. **MsgPack Strings Encode**: Encoding a string data object using the `msgpackr.pack()` function from the MsgPack library.
4. **MsgPack Numbers Encode**: Encoding an array of numbers using the `msgpackr.pack()` function.

**Pros and Cons**

* **JSON Encoding**:
	+ Pros: widely supported, easy to implement, human-readable format.
	+ Cons: larger size compared to MsgPack, slower encoding speed for large data.
* **MsgPack Encoding**:
	+ Pros: smaller size, faster encoding speed, compact binary format.
	+ Cons: less widely supported, requires additional library (msgpackr), may require more complex implementation.

**Library: msgpackr**

The `msgpackr` library is used to encode and decode MessagePack data. It provides a simple API for converting JavaScript objects and arrays to MsgPack strings. The library also supports decoding MsgPack data back into JavaScript objects and arrays.

**Special JS feature or syntax**

None mentioned in the provided benchmark, but it's worth noting that MsgPack has some unique features, such as:

* Support for binary data and null values.
* Ability to encode objects with nested properties.
* Compact representation of repeated fields (e.g., arrays).

**Other alternatives**

If you're interested in exploring other encoding formats or libraries, here are a few options:

1. **UglifyJS**: A popular library for minifying and compressing JavaScript code.
2. **gzip**: A widely used compression algorithm for text data.
3. **lz-string**: A lightweight JSON-like format optimized for small data sizes.

Keep in mind that each of these alternatives has its own strengths and weaknesses, and may not be suitable for all use cases.

Related benchmarks:

msgpackr vs. JSON (version: 0)

Comparing performance of: MsgPack Strings Encode vs JSON Strings Encode vs MsgPack Numbers Encode vs JSON Numbers Encode

Created: 4 years ago by: Guest

Jump to the latest result

MsgPack Strings Encode

JSON Strings Encode

MsgPack Numbers Encode

JSON Numbers Encode

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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