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MessagePack implementation for C and C++ / msgpack.org[C/C++]

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Quick Overview

MessagePack for C/C++ is a binary serialization format library that enables efficient data exchange between different languages and platforms. It provides a compact and fast method for serializing and deserializing data structures, making it ideal for applications requiring high-performance data transmission or storage.

Pros

  • High performance and compact serialization compared to JSON
  • Cross-language support, allowing easy integration with various programming languages
  • Zero-copy deserialization for improved efficiency
  • Extensive type support, including custom user-defined types

Cons

  • Less human-readable than text-based formats like JSON
  • Requires careful handling of version compatibility when evolving data structures
  • Limited built-in schema validation compared to some alternatives
  • Steeper learning curve for developers unfamiliar with binary serialization

Code Examples

  1. Serializing data:
#include <msgpack.hpp>
#include <vector>
#include <string>

std::vector<std::string> vec = {"Hello", "MessagePack"};
msgpack::sbuffer sbuf;
msgpack::pack(sbuf, vec);
  1. Deserializing data:
msgpack::object_handle oh = msgpack::unpack(sbuf.data(), sbuf.size());
msgpack::object obj = oh.get();
std::vector<std::string> result;
obj.convert(result);
  1. Working with custom types:
struct MyType {
    int id;
    std::string name;
    MSGPACK_DEFINE(id, name);
};

MyType data{1, "Example"};
msgpack::sbuffer sbuf;
msgpack::pack(sbuf, data);

Getting Started

  1. Install MessagePack for C/C++:

    git clone https://github.com/msgpack/msgpack-c.git
    cd msgpack-c
    cmake .
    make
    sudo make install
    
  2. Include the MessagePack header in your C++ project:

    #include <msgpack.hpp>
    
  3. Compile your project with MessagePack:

    g++ -std=c++11 your_file.cpp -o your_program -lmsgpackc
    

Competitor Comparisons

10,310

Apache Thrift

Pros of Thrift

  • Supports multiple programming languages and platforms
  • Includes a complete RPC framework for service definition and client-server communication
  • Offers built-in versioning and backward compatibility features

Cons of Thrift

  • More complex setup and usage compared to MsgPack-C
  • Larger codebase and potentially higher resource usage
  • Steeper learning curve for developers new to the framework

Code Comparison

MsgPack-C (C++):

msgpack::sbuffer sbuf;
msgpack::pack(sbuf, 42);
msgpack::object_handle oh = msgpack::unpack(sbuf.data(), sbuf.size());
msgpack::object obj = oh.get();
std::cout << obj.as<int>() << std::endl;

Thrift (C++):

shared_ptr<TTransport> transport(new TBufferedTransport(socket));
shared_ptr<TProtocol> protocol(new TBinaryProtocol(transport));
MyServiceClient client(protocol);
client.someMethod(42);

MsgPack-C focuses on simple serialization and deserialization, while Thrift provides a more comprehensive framework for defining services and handling communication between clients and servers. Thrift offers greater flexibility across languages and platforms but comes with increased complexity. MsgPack-C is more lightweight and easier to integrate for basic serialization needs.

65,113

Protocol Buffers - Google's data interchange format

Pros of Protocol Buffers

  • Strong typing and schema definition, allowing for better data validation and consistency
  • Built-in support for versioning and backward compatibility
  • Extensive language support and ecosystem

Cons of Protocol Buffers

  • Larger message size due to field identifiers and type information
  • More complex setup and usage compared to MessagePack's simplicity
  • Slower serialization and deserialization performance in some cases

Code Comparison

MessagePack (C):

msgpack_sbuffer sbuf;
msgpack_packer pk;
msgpack_sbuffer_init(&sbuf);
msgpack_packer_init(&pk, &sbuf, msgpack_sbuffer_write);
msgpack_pack_array(&pk, 3);

Protocol Buffers (C++):

MyMessage message;
message.set_id(1234);
message.set_name("John Doe");
message.set_email("john@example.com");
std::string serialized = message.SerializeAsString();

MessagePack offers a more lightweight and flexible approach, while Protocol Buffers provides stronger typing and schema definition. MessagePack is generally faster and produces smaller message sizes, but Protocol Buffers offers better support for versioning and backward compatibility. The choice between the two depends on specific project requirements and priorities.

11,517

Cap'n Proto serialization/RPC system - core tools and C++ library

Pros of Cap'n Proto

  • Zero-copy deserialization, leading to faster processing
  • Built-in support for schema evolution and backwards compatibility
  • More expressive type system, including unions and nested structures

Cons of Cap'n Proto

  • Larger message size due to padding and alignment requirements
  • Steeper learning curve and more complex API compared to MessagePack
  • Less widespread adoption and ecosystem support

Code Comparison

MessagePack:

msgpack_sbuffer sbuf;
msgpack_packer pk;
msgpack_sbuffer_init(&sbuf);
msgpack_packer_init(&pk, &sbuf, msgpack_sbuffer_write);
msgpack_pack_array(&pk, 3);

Cap'n Proto:

::capnp::MallocMessageBuilder message;
auto root = message.initRoot<MyStruct>();
root.setField1(42);
root.setField2("hello");
kj::Array<capnp::word> serialized = messageToFlatArray(message);

Both MessagePack and Cap'n Proto are serialization libraries, but they have different design philosophies. MessagePack focuses on simplicity and compact representation, while Cap'n Proto emphasizes performance and schema evolution. MessagePack is more widely adopted and easier to use, but Cap'n Proto offers advanced features like zero-copy deserialization and better support for complex data structures. The choice between them depends on specific project requirements, such as performance needs, data complexity, and compatibility concerns.

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Apache Avro is a data serialization system.

Pros of Avro

  • Supports schema evolution, allowing for easier data versioning and compatibility
  • Provides rich data structures with complex types like unions and nested records
  • Includes built-in support for data compression

Cons of Avro

  • More complex setup and usage compared to MsgPack's simplicity
  • Larger message size due to schema overhead, especially for small payloads
  • Slower serialization/deserialization performance in some scenarios

Code Comparison

MsgPack-C:

msgpack_sbuffer sbuf;
msgpack_packer pk;
msgpack_sbuffer_init(&sbuf);
msgpack_packer_init(&pk, &sbuf, msgpack_sbuffer_write);
msgpack_pack_array(&pk, 3);

Avro:

avro_schema_t schema;
avro_schema_from_json_literal(schema_json, &schema);
avro_value_iface_t *iface = avro_generic_class_from_schema(schema);
avro_value_t value;
avro_generic_value_new(iface, &value);

Both libraries provide serialization capabilities, but Avro requires more setup with schema definition. MsgPack-C offers a more straightforward API for packing data, while Avro provides stronger typing and schema validation at the cost of additional complexity.

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README

msgpack for C/C++

It's like JSON but smaller and faster.

Overview

MessagePack is an efficient binary serialization format, which lets you exchange data among multiple languages like JSON, except that it's faster and smaller. Small integers are encoded into a single byte and short strings require only one extra byte in addition to the strings themselves.

C Library

See c_master

C++ Library

See cpp_master

Documentation

You can get additional information including the tutorial on the wiki.

Contributing

msgpack-c is developed on GitHub at msgpack/msgpack-c. To report an issue or send a pull request, use the issue tracker.

Here's the list of great contributors.

License

msgpack-c is licensed under the Boost Software License, Version 1.0. See the LICENSE_1_0.txt file for details.