Benchmark: msgpack vs. JSON

HTML Preparation code:

<script src="https://unpkg.com/@msgpack/msgpack@2.7.2/dist.es5+umd/msgpack.min.js"></script>

AخA
 
<script src="https://unpkg.com/@msgpack/msgpack@2.7.2/dist.es5+umd/msgpack.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 = MessagePack.encode(stringData),
    msgpackEncodedNumbers = MessagePack.encode(numberData);

 
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 = MessagePack.encode(stringData),    msgpackEncodedNumbers = MessagePack.encode(numberData);

Tests:

MsgPack Strings Encode
var result = MessagePack.encode(stringData);
var result = MessagePack.encode(stringData);
JSON Strings Encode
var result = JSON.stringify(stringData);
var result = JSON.stringify(stringData);
MsgPack Numbers Encode
var result = MessagePack.encode(numberData);
var result = MessagePack.encode(numberData);
JSON Numbers Encode
var result = JSON.stringify(numberData);
var result = JSON.stringify(numberData);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Experimental features:

Memory measurements supported only in Chrome.
For precise memory measurements Chrome must be launched with --enable-precise-memory-info flag.
More information: Monitoring JavaScript Memory

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: 5 days ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:133.0) Gecko/20100101 Firefox/133.0

Browser/OS: Firefox 133 on Windows

View result in a separate tab

Test name	Executions per second
MsgPack Strings Encode	110338.8 Ops/sec
JSON Strings Encode	1909856.5 Ops/sec
MsgPack Numbers Encode	199329.4 Ops/sec
JSON Numbers Encode	1041953.7 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated 5 months ago):

I'll break down the explanation of what's tested, options compared, pros and cons, library usage, special JS features, and alternatives.

What's being tested:

The benchmark compares two data encoding formats:

JSON (JavaScript Object Notation): a human-readable format for exchanging data between systems.
MsgPack: a binary-based format that is more compact than JSON.

Specifically, the benchmark tests how quickly each format encodes and decodes:

Strings (var jsonEncodedStrings vs. msgpackEncodedStrings)
Numbers (var jsonEncodedNumbers vs. msgpackEncodedNumbers)

Options compared:

The two options being compared are:

JSON encoding
MsgPack encoding

Pros and Cons of each approach:

JSON Encoding:

Pros:

Wide adoption and support in many systems
Easy to read and write for humans
Supports most data types, including strings, numbers, booleans, arrays, objects

Cons:

More verbose than MsgPack, resulting in larger encoded files
May not be as efficient for large datasets or high-performance applications

MsgPack Encoding:

Pros:

More compact than JSON, making it a good choice for large datasets
Faster execution times due to binary encoding
Supports most data types, including strings, numbers, booleans, arrays, objects

Cons:

Less human-readable and more challenging to write for humans
May require additional libraries or tools for decoding

Library usage:

The benchmark uses the MessagePack library to encode and decode data. MsgPack is a binary-based data encoding format that provides a compact representation of data.

Special JS features:

There are no special JavaScript features mentioned in the benchmark code. However, it's worth noting that JavaScript engines like Firefox have implemented various optimizations and features, such as Just-In-Time (JIT) compilation and Garbage Collection, which can impact performance.

Alternatives:

Other alternatives to JSON and MsgPack include:

Protocol Buffers: a language-agnostic data serialization format developed by Google
Thrift: a framework for building scalable and efficient services that uses protocol buffers as the data serialization format
Apache Avro: a data serialization format designed for high-performance and flexibility

These formats are often used in industry applications, but may require additional setup and libraries compared to JSON or MsgPack.

I hope this explanation helps!

LLMs can make mistakes. Check important info.

I'll break down the explanation of what's tested, options compared, pros and cons, library usage, special JS features, and alternatives.

**What's being tested:**

The benchmark compares two data encoding formats:

1. **JSON (JavaScript Object Notation)**: a human-readable format for exchanging data between systems.
2. **MsgPack**: a binary-based format that is more compact than JSON.

Specifically, the benchmark tests how quickly each format encodes and decodes:

* Strings (`var jsonEncodedStrings` vs. `msgpackEncodedStrings`)
* Numbers (`var jsonEncodedNumbers` vs. `msgpackEncodedNumbers`)

**Options compared:**

The two options being compared are:

1. **JSON encoding**
2. **MsgPack encoding**

**Pros and Cons of each approach:**

**JSON Encoding:**

Pros:

* Wide adoption and support in many systems
* Easy to read and write for humans
* Supports most data types, including strings, numbers, booleans, arrays, objects

Cons:

* More verbose than MsgPack, resulting in larger encoded files
* May not be as efficient for large datasets or high-performance applications

**MsgPack Encoding:**

Pros:

* More compact than JSON, making it a good choice for large datasets
* Faster execution times due to binary encoding
* Supports most data types, including strings, numbers, booleans, arrays, objects

Cons:

* Less human-readable and more challenging to write for humans
* May require additional libraries or tools for decoding

**Library usage:**

The benchmark uses the `MessagePack` library to encode and decode data. MsgPack is a binary-based data encoding format that provides a compact representation of data.

**Special JS features:**

**Alternatives:**

Other alternatives to JSON and MsgPack include:

* **Protocol Buffers**: a language-agnostic data serialization format developed by Google
* **Thrift**: a framework for building scalable and efficient services that uses protocol buffers as the data serialization format
* **Apache Avro**: a data serialization format designed for high-performance and flexibility

These formats are often used in industry applications, but may require additional setup and libraries compared to JSON or MsgPack.

I hope this explanation helps!

Related benchmarks:

msgpack vs. JSON (version: 0)

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

Created: 3 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>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 5 months ago):