Octopus is an ORM/ODM written in Golang. It supports SQL and NoSQL databases and is easy to use.
Run the following command to get octopus package
go get -u -t github.com/Kamva/octopus
For using octopus you need a scheme and a model. Scheme represent the field in your desired table (or collection), and Model is the struct that interact with the database.
Note that the scheme must implement octopus/base.Scheme interface. The model struct must embed the octopus.Model
and run Initiate method on its constructor.
package models
import (
    "github.com/Kamva/octopus"
    "github.com/Kamva/octopus/base"
)
type User struct {
    // This is optional. This only adds `GetKeyName` method implementation that
    // returns `id` by default. for MongoDB you should use `octopus.MongoScheme`
    // or implemet `GetKeyName` method yourself, as default primary key in Mongo
    // is `_id`.
    octopus.Scheme
    ID          int     `sql:"pk"`
    Name        string  `sql:"column:full_name"`
    Email       string  `sql:"unique"`
    Password    string
    RawData     map[string]string `sql:"ignore"` // Add ignore tag if the field does not exists on table
}
func (u User) GetID() interface{} {
	return u.ID
}
type UserModel struct {
    octopus.Model
}
func NewUserModel() *UserModel {
    model :=  &UserModel{}
    config := base.DBConfig{Driver:base.PG, Host:"localhost", Port: "5432", Database: "MyDatabase"}
    model.Initiate(&User{}, config)
    
    return model
}Then you can use model like this:
package main
import (
    "github.com/Kamva/octopus/term"
	"models"
)
func main() {
	model := models.NewUserModel()
	
	// Find a user by ID
	user, err := model.Find(1)
	if err != nil {
		panic(err)
	}
	
	// Create a new record
	newUser := User{Name: "John Doe", Email: "john.doe@email.com", Password: "HashedPassword"}
	model.Create(&newUser)
	
	// Update a record
	user.Name = "New Name"
	model.Update(user)
	
	// Delete a record
	model.Delete(user)
	
	// Query the table
	model.Where(term.Equal{Field: "name", Value: "John Doe"}).First()
}-  MongoDB
- Data Modelling
 - Raw Query
 - Aggregations
 - Relation Support [via lookup aggregation]
 
 -  PostgreSQL
- Data Modelling
 - Arrays and Json type support
 - Grouping
 - Raw Query
 - Relation Support
 
 -  MSSQL
- Data Modelling
 - Grouping
 - Raw Query
 - Relation Support
 - Stored Procedures
 
 - MySQL
 - SQLite3