Protol Buffers
Language agnostic binary serialization format developed by Google. One of the key features of Protocol Buffers is that they can be used accross various programming languages.
Key Features:
- Efficiency
- Speed
- Cross-Platform Compatibility
Use Cases:
- Microservices Communication
- APIs
- Data Storage
- Game Development
Advantages of Using Protocol Buffers
- Backward and Forward Compatibility
- Strongly Typed
- Support for Multiple Languages
After creating the dot proto file, we use the Protoc compiler to generate source code in various programming. This generated source code includes classes or structures that can be used to serialize and deserialize our data. Once you have the generated code, you can use it to easily convert your data objects to and from the Protocol Buffers binary format, allowing for efficient data transmission or storage.
Syntax and Structure of .proto files
A .proto file is a text file that defines the structures of your data in a clear and concise way. It uses a specific syntax to describe the messages and the fields that compose them. The .proto file serves as a blueprint for generating the corresponding code in your preferred programming language.
Basic structure of a .proto file:
syntax = "proto3"; // Syntax Version
package example;
// Message definition
message Person{
string name = 1;
int32 id = 2;
string email = 3;
}
Defining Fields
<fiedl_type> <field_name> = <field_number>;
Basic Field Types
- int32, int64: Signed integers of varying sizes.
- uint32, uint64: Unsigned integers
- float, double: Floating point numbers
- bool: Boolean values
- string: A sequence of characters
- bytes: A sequence of raw bytes
Enumerations
enum Gender{
MALE=0;
FEMALE=1;
OTHER=2;
}
Nested Messages
message Address{
string street = 1;
string city = 2;
}
message Person{
string name=1;
Address address = 2; // Nested message
}
Field Options : Repeated Fields, Required and Optional
message Person {
repeated string phone_numbers = 1; // List of phone numbers
}
Comments
In summary, .proto files serve as the foundation structure for defining your data in Protocol Buffers. Understanding the syntax and structure is essential for effectively creating messages and ensuring proper data serialization.
Packages in Protocol Buffers
-
Packages
-
Package Naming Conventions
- Lowercase
- Dot Notation
- Consistency
-
Importing Packages
File: person.proto
syntax = "proto3"
package example;
// Message definition
message Person{
string name = 1;
int32 id = 2;
}
File: main.proto
syntax = "proto3"
package main;
// Importing another .proto file
import "example/person.proto";
message Company{
repeated example.Person employees = 1; // using the person message from the example package
}
When you generate code from your .proto files, the package declaration influences the namespace of the generated code. The code gets generated using the protoc compiler. For instance, if you define a package as example, the generated classes will be organized under that namespace in the target programming language.
- Avoiding Naming Conflicts
File: user.proto
syntax= "proto3"
package user;
message User {
string username = 1;
}
File: admin.proto
syntax = "proto3";
package admin;
message User {
string adminId = 1;
}
Using packages is essential to prevent naming conflicts in large code bases. For instance if you have multiple messages with the same name in different .proto files, using ensures that they can coexist without issues. In this case, both user messages can exist because they are in different packages.
In summary, packages in Protocol buffers are crucila for organizing your data structures, preventing naming conflicts and maintaining a clean code base. By following best practices in package naming and usagem you can create well structured and maintainable Protocol Buffers projects.
Messages in Protocol Buffers
Messages are the code data structures used in Protocol buffers to represent and serialize structured data. Understanding how to define and use messages is fundamental to effectively utilizing protocol buffers in our applications.
A Message in Protocol Buffer is a logical container for structured data. It allows you to define a set of fields, each with a specific type and purpose. Messages can represent complex data structures and are used to facilitate communication between systems. To define a message in a .proto file, use the message keyword followed by the message name and a block containing its fields.
Messages
syntax = "proto3"
package example;
// Defining a message
message Person{
string name = 1; // Field 1
int32 id = 2; // Field 2
string email = 3; // Field 3
}
A message can have the following components :
- Field Declarations
- Nested Messages
- Enumerations
Message Options
message OldPerson{
option deprecated = true; // This message is deprecated
string name = 1;
}
Best Practices for Messages
- use meaningful names
- keep messages focused
- plan for evolution
Fields in Protocol buffers
Fields are the fundamental building blocks of messages in protocol buffers, and understanding how to define and use them is crucial for effective data serialization in Protocol buffers. A Field is a key value pair withing a message that represents a piece of data. Each field has a unique number, a data type and a name. Fields are used to define the structure of the data you want to serialize.
Field type includes the data type of the field such as int32, string or bool. Field name is the identifier for the field following standard naming conventions usually snakecase. Field number is a unique positive integers assigned to the field, which is used for serialization.
Fields
<field_type> <field_name> = <field_number>;
Field Options
- In
proto2, fields could be marked asrequiredoroptional. Inproto3all fields are optional by default. - Use
repeatedto define a field that can contain multiple values of the same type. - You can specify additional options such as
deafult,packedand more.
Field Numbers
- Use numbers between 1 and 15 for frequently used fields, as these require only one byte in the binary encoding.
- Use numbers between 16 and 2047 for less frequently used fields.
- Avoid changing field numbers once they are assigned, as this can lead to incompatability with serialized data.
Best Practices
- Use meaningful names
- avoid reserved field names