POP

A Tasty Treat For All Your Database Needs

So what does Pop do exactly? Well, it wraps the absolutely amazing https://github.com/jmoiron/sqlx library. It cleans up some of the common patterns and work flows usually associated with dealing with databases in Go.

Pop makes it easy to do CRUD operations, run migrations, and build/execute queries. Is Pop an ORM? I'll leave that up to you, the reader, to decide.

Pop, by default, follows conventions that were influenced by the ActiveRecord Ruby gem. What does this mean?

Tables must have an "id" column and a corresponding "ID" field on the struct being used.
If there is a timestamp column named created_at, and a CreatedAt time.Time attribute on the struct, it will be set with the current time when the record is created.
If there is a timestamp column named updated_at, and a UpdatedAt time.Time attribute on the struct, it will be set with the current time when the record is updated.
Default database table names are lowercase, plural, and underscored versions of the struct name. Examples: User{} is "users", FooBar{} is "foo_bars", etc...

Supported Databases

PostgreSQL (>= 9.3)
MySQL (>= 5.7)
SQLite (>= 3.x)
CockroachDB (>= 1.1.1)

Connecting to Databases

Pop is easily configured using a YAML file. The configuration file should be stored in config/database.yml or database.yml.

Example Configuration File

development:
  dialect: "postgres"
  database: "your_db_development"
  host: "localhost"
  port: "5432"
  user: "postgres"
  password: "postgres"

test:
  dialect: "mysql"
  database: "your_db_test"
  host: "localhost"
  port: "3306"
  user: "root"
  password: "root"

staging:
  dialect: "sqlite3"
  database: "./staging.sqlite"

production:
  dialect: "postgres"
  url: {{ env "DATABASE_URL" }}

Note that the database.yml file is also a Go template, so you can use Go template syntax. There are two special functions that are included, env and envOr.

env - This function will look for the named environment variable and insert it into your file. This is useful for configuring production databases without having to store secret information in your repository. {{ env "DATABASE_URL" }}
envOr - This function will look for the named environment variable and use it. If the variable can not be found a default value will be used. {{ envOr "MYSQL_HOST" "localhost" }}

You can generate a default configuration file using the init command:

$ soda g config

The default will generate a database.yml file in the current directory for a PostgreSQL database. You can override the type of database using the -t flag and passing in any of the supported database types: postgres, cockroach, mysql, or sqlite3.

CockroachDB currently works best if you DO NOT use a URL and instead define each key item. Because CockroachDB more or less uses the same driver as postgres you have the same configuration options for both. In production you will also want to make sure you are using a secure cluster and have set all the needed connection parameters for said secure connection. If you do not set the sslmode or set it to disable this will put dump and load commands into --insecure mode.

In Your Code

Once you have a configuration file defined you can easily connect to one of these connections in your application.

db, err := pop.Connect("development")
if err != nil {
  log.Panic(err)
}

Now that you have your connection to the database you can start executing queries against it.

CLI Support

Pop features CLI support via the soda command for the following operations:

Available Commands:
  create      Creates databases for you
  drop        Drops databases for you
  generate
  help        Help about any command
  migrate     Runs migrations against your database.
  schema      Tools for working with your database schema

Installing CLI Support

Without sqlite 3 support:

$ go get github.com/gobuffalo/pop/...
$ go install github.com/gobuffalo/pop/soda

With sqlite 3 support:

$ go get -u -v -tags sqlite github.com/gobuffalo/pop/...
$ go install -tags sqlite github.com/gobuffalo/pop/soda

If you're not building your code with buffalo build, you'll also have to pass -tags sqlite to go build when building your program.

Managing Databases

Creating Databases

Assuming you defined a configuration file like that described in the above section you can automatically create those databases using the soda command:

Create All Databases

$ soda create -a

Create a Specific Database

$ soda create -e development

Dropping Databases

Assuming you defined a configuration file like that described in the above section you can automatically drop those databases using the soda command:

Drop All Databases

$ soda drop -a

Drop a Specific Database

$ soda drop -e development

Models

The soda command supports the generation of models.

A full list of commands available for model generation can be found by asking for help:

$ soda generate help

Generating Models

The soda command will generate Go models and, optionally, the associated migrations for you.

$ soda generate model user name:text email:text

Running this command will generate the following files:

models/user.go
models/user_test.go
migrations/20170115024143_create_users.up.fizz
migrations/20170115024143_create_users.down.fizz

The models/user.go file contains a structure named User with fields ID, CreatedAt, UpdatedAt, Name, and Email. The first three correspond to the columns commonly found in ActiveRecord models as mentioned before, and the last two correspond to the additional fields specified on the command line. The known types are:

text (string in Go)
blob ([]byte in Go)
time or timestamp (time.Time)
nulls.Text (nulls.String) which corresponds to a nullifyable string, which can be distinguished from an empty string
uuid (uuid.UUID)
Other types are passed thru and are used as Fizz types.

The models/user_test.go contains tests for the User model and they must be implemented by you.

The other two files correspond to the migrations as explained below. By default, it generates .fizz files but you can also generate .sql files by adding the flag --migration-type sql to the command. Be aware, that you will need to specify the appropriate environment, because .sql files are for specific databases.

$ soda generate model user name:text email:text --migration-type sql -e development

If developmentis associated with a postgresqlconfiguration, running this command will generate the following files:

models/user.go
models/user_test.go
migrations/20170115024143_create_users.postgres.up.sql
migrations/20170115024143_create_users.postgres.down.sql

Migrations

The soda command supports the creation and running of migrations.

A full list of commands available for migration can be found by asking for help:

$ soda migrate --help

Generating Migrations

The soda command will generate SQL migrations (both the up and down) files for you.

$ soda generate fizz name_of_migration

Running this command will generate the following files:

./migrations/20160815134952_name_of_migration.up.fizz
./migrations/20160815134952_name_of_migration.down.fizz

The generated files are fizz files. Fizz lets you use a common DSL for generating migrations. This means the same .fizz file can be run against any of the supported dialects of Pop! Find out more about Fizz

If you want to generate old fashion .sql files you can use the -t flag for that:

$ soda generate sql name_of_migration

Running this command will generate the following files:

./migrations/20160815134952_name_of_migration.up.sql
./migrations/20160815134952_name_of_migration.down.sql

The soda migrate command supports both .fizz and .sql files, so you can mix and match them to suit your needs.

Running Migrations

The soda command will run the migrations using the following command:

$ soda migrate up

Migrations will be run in sequential order.

Migrations can also be run in reverse to rollback the schema.

$ soda migrate down

The previously run migrations will be kept track of in a table named schema_migration in the database. The table name can be configured by setting migration_table_name of the configuration options. The example below will use migrations as the table name.

development:
  dialect: "postgres"
  url: "your_db_development"
  options:
    migration_table_name: migrations

Querying

Find By ID

user := User{}
err := db.Find(&user, id)

Find All

users := []User{}
err := db.All(&users)
err = db.Where("id in (?)", 1, 2, 3).All(&users)

Find Last

// Last() orders by created_at
user := models.User{}
err := tx.Last(&user)

Find Where

users := []models.User{}
query := db.Where("id = 1").Where("name = 'Mark'")
err := query.All(&users)

err = tx.Where("id in (?)", 1, 2, 3).All(&users)

Using `in` Queries

err = db.Where("id in (?)", 1, 2, 3).All(&users)
err = db.Where("id in (?)", 1, 2, 3).Where("foo = ?", "bar").All(&users)

Unfortunately, for a variety of reasons you can't use an and query in the same Where call as an in query.

// does not work:
err = db.Where("id in (?) and foo = ?", 1, 2, 3, "bar").All(&users)
// works:
err = db.Where("id in (?)", 1, 2, 3).Where("foo = ?", "bar").All(&users)

Select specific columns

Select allows you to load specific columns from a table. Useful when you don't want all columns from a table to be loaded in a query.

err = db.Select("name").All(&users)
// SELECT name FROM users

err = db.Select("max(age)").All(&users)
// SELECT max(age) FROM users

err = db.Select("age", "name").All(&users)
// SELECT age, name FROM users

Join Query

// page: page number
// perpage: limit
roles := []models.UserRole{}
query := models.DB.LeftJoin("roles", "roles.id=user_roles.role_id").
  LeftJoin("users u", "u.id=user_roles.user_id").
  Where(`roles.name like ?`, name).Paginate(page, perpage)

count, _ := query.Count(models.UserRole{})
count, _ := query.CountByField(models.UserRole{}, "*")
sql, args := query.ToSQL(&pop.Model{Value: models.UserRole{}}, "user_roles.*",
  "roles.name as role_name", "u.first_name", "u.last_name")
err := models.DB.RawQuery(sql, args...).All(&roles)

Creating New Records

// Create one record.
user := models.User{}
user.Name = "Mark"
err := tx.Create(&user)

// Create many records.
users := models.Users{
  {Name:"Mark"},
  {Name: "Larry"},
}

err := tx.Create(&users)

Saving Records

The Save method will attempt to create the record if the ID is empty. If there is an ID set it will attempt to update the record with that ID in the database.

// Save one record.
user := models.User{}
user.Name = "Mark"
err := tx.Save(&user)

// Save many records.
users := models.Users{
  {Name:"Mark"},
  {Name: "Larry"},
}

err := tx.Save(&users)

Updating Records

// Update one record.
user := models.User{}
user.Name = "Mark"
err := tx.Create(&user)

user.Name = "Mark Bates"
err = tx.Update(&user)

// Update many records.
users := models.Users{
  {Name:"Mark"},
  {Name: "Larry"},
}

err := tx.Create(&users)

users[0].Name = "Mark Bates"
users[1].Name = "Larry Morales"
err := tx.Update(&users)

Destroy

// Destroy one record.
user := models.User{}
user.Name = "Mark"
err := tx.Create(&user)

err = tx.Destroy(&user)

// Destroy many records.
users := models.Users{
  {Name:"Mark"},
  {Name: "Larry"},
}
err := tx.Create(&users)

err = tx.Destroy(&users)

Eager Loading

Pop allows you to perform an eager loading for associations defined in a model. By using pop.Connection.Eager() function plus some fields tags predefined in your model you can extract associated data from a model.

type User struct {
  ID           uuid.UUID
  Email        string
  Password     string
  Books        Books     `has_many:"books" order_by:"title asc"`
  FavoriteSong Song      `has_one:"song" fk_id:"u_id"`
  Houses       Addresses `many_to_many:"users_addresses"`
}

type Book struct {
  ID      uuid.UUID
  Title   string
  Isbn    string
  User    User        `belongs_to:"user"`
  UserID  uuid.UUID
  Writers Writers     `has_many:"writers"`
}

type Writer struct {
   ID     uuid.UUID   `db:"id"`
   Name   string      `db:"name"`
   BookID uuid.UUID   `db:"book_id"`
   Book   Book        `belongs_to:"book"`
}

type Song struct {
  ID      uuid.UUID
  Title   string
  UserID  uuid.UUID   `db:"u_id"`
}

type Address struct {
  ID           uuid.UUID
  Street       string
  HouseNumber  int
}

type Addresses []Address

has_many: will load all records from the books table that have a column named user_id or the column specified with fk_id that matches the User.ID value.
belongs_to: will load a record from users table that have a column named id that matches with Book.UserID value.
has_one: will load a record from the songs table that have a column named user_id or the column specified with fk_id that matches the User.ID value.
many_to_many: will load all records from the addresses table through the table users_addresses. Table users_addresses MUST define address_id and user_id columns to match User.ID and Address.ID values. You can also define a fk_id tag that will be used in the target association i.e addresses table.
fk_id: defines the column name in the target association that matches model ID. In the example above Song has a column named u_id that represents id of users table. When loading FavoriteSong, u_id will be used instead of user_id.
order_by: used in has_many and many_to_many to indicate the order for the association when loading. The format to use is order_by:"<column_name> <asc | desc>"

u := Users{}
// preload all associations for user with name 'Mark', i.e Books, Houses and FavoriteSong
err := tx.Eager().Where("name = 'Mark'").All(&u)
// preload only Books association for user with name 'Mark'.
err  = tx.Eager("Books").Where("name = 'Mark'").All(&u)

Eager Loading Nested Associations

Pop allows you to eager loading nested associations by using . character to concatenate them. Take a look at the example bellow.

// will load all Books for u and for every Book will load the user which will be the same as u.
tx.Eager("Books.User").First(&u)

// will load all Books for u and for every Book will load all Writers.
 tx.Eager("Books.Writers").First(&u)

// will load all Books for u and for every Book will load all Writers and for every writer will load the Book association.
tx.Eager("Books.Writers.Book").First(&u)

// will load all Books for u and for every Book will load all Writers. And Also it will load the favorite song for user.
tx.Eager("Books.Writers").Eager("FavoriteSong").First(&u)

Eager Creation

Pop allows you to create models and their associations in one step. You no longer need to create every association separately anymore. Pop will even create join table records for many_to_many associations.

Assuming the following pieces of pseudo-code:

user := User{
  Name: "Mark Bates",
  Books: Books{{Title: "Pop Book", Description: "Pop Book", Isbn: "PB1"}},
  FavoriteSong: Song{Title: "Don't know the title"},
  Houses: Addresses{
    Address{HouseNumber: 1, Street: "Golang"},
  },
}

err := tx.Eager().Create(&user)

It will notice Books is a has_many association and it will realize that to actually store every book it will need to get the User ID first. So, it proceeds to store first User data so it can retrieve an ID and then use that ID to fill UserID field in every Book in Books. Later it stores all books in database.
FavoriteSong is a has_one association and it uses same logic described in has_many association. Since User data was previously saved before creating all books, it already knows that User got an ID so it fills its UserID field with that value and FavoriteSong is then stored in database.
Houses in this example is a many_to_many relationship and it will have to deal with two tables in this case: users and addresses. It will need to store all addresses first in addresses table before save them in the many to many table. Because User was already stored, it already have an ID. * This is a special case to deal with, since this behavior is different to all other associations, it is solved by implementing the AssociationCreatableStatement interface, all other associations implement by default AssociationCreatable interface.

For a belongs_to association like shown in the example below, it will need first to create User to retrieve ID value and then fill its UserID field before be saved in database.

book := Book{
   Title:      "Pop Book",
   Description: "Pop Book",
   Isbn:        "PB1",
   User: User{
        Name: nulls.NewString("Larry"),
   },
}

tx.Eager().Create(&book)

All these cases are assuming that none of models and associations has previously been saved in database.

Callbacks

Pop provides a means to execute code before and after database operations. This is done by defining specific methods on your models. For example, to hash a user password you may want to define the following method:

type User struct {
  ID       uuid.UUID
  Email    string
  Password string
}

func (u *User) BeforeSave(tx *pop.Connection) error {
  hash, err := bcrypt.GenerateFromPassword([]byte(u.Password), bcrypt.DefaultCost)
  if err != nil {
    return errors.WithStack(err)
  }

  u.Password = string(hash)

  return nil
}

Available Callbacks:

BeforeSave
BeforeCreate
BeforeUpdate
BeforeDestroy
AfterSave
AfterCreate
AfterUpdate
AfterDestroy
AfterFind

Files

README.md

Latest commit

History

README.md

File metadata and controls

POP

A Tasty Treat For All Your Database Needs

Supported Databases

Connecting to Databases

Example Configuration File

In Your Code

CLI Support

Installing CLI Support

Managing Databases

Creating Databases

Create All Databases

Create a Specific Database

Dropping Databases

Drop All Databases

Drop a Specific Database

Models

Generating Models

Migrations

Generating Migrations

Running Migrations

Querying

Find By ID

Find All

Find Last

Find Where

Using in Queries

Select specific columns

Join Query

Creating New Records

Saving Records

Updating Records

Destroy

Eager Loading

Eager Loading Nested Associations

Eager Creation

Callbacks

Available Callbacks:

Further Reading

Using `in` Queries