Hello fellow developers 👋
We (@vmihailenco and @anmic) are launching Uptrace at ProductHunt and need your support.
Uptrace is an open source distributed tracing tool. We help developers pinpoint failures and find performance bottlenecks. Uptrace can process billions of spans on a single server and allows to monitor your software at 10x lower cost.
go-pg is in a maintenance mode and only critical issues are addressed. New development happens in Bun repo which offers similar functionality but works with PostgreSQL, MySQL, MariaDB, and SQLite.
- Documentation
- Reference
- Examples
- Example projects:
- GraphQL Tutorial on YouTube.
- Migrations by vmihailenco and robinjoseph08.
- Genna - cli tool for generating go-pg models.
- bigint - big.Int type for go-pg.
- urlstruct to decode
url.Values
into structs. - Sharding.
- go-pg-monitor - Prometheus metrics based on go-pg client stats.
- Basic types: integers, floats, string, bool, time.Time, net.IP, net.IPNet.
- sql.NullBool, sql.NullString, sql.NullInt64, sql.NullFloat64 and pg.NullTime.
- sql.Scanner and sql/driver.Valuer interfaces.
- Structs, maps and arrays are marshalled as JSON by default.
- PostgreSQL multidimensional Arrays using array tag and Array wrapper.
- Hstore using hstore tag and Hstore wrapper.
- Composite types.
- All struct fields are nullable by default and zero values (empty string, 0, zero time, empty map
or slice, nil ptr) are marshalled as SQL
NULL
.pg:",notnull"
is used to add SQLNOT NULL
constraint andpg:",use_zero"
to allow Go zero values. - Transactions.
- Prepared statements.
- Notifications using
LISTEN
andNOTIFY
. - Copying data using
COPY FROM
andCOPY TO
. - Timeouts and canceling queries using context.Context.
- Automatic connection pooling with circuit breaker support.
- Queries retry on network errors.
- Working with models using ORM and SQL.
- Scanning variables using ORM and SQL.
- SelectOrInsert using on-conflict.
- INSERT ... ON CONFLICT DO UPDATE using ORM.
- Bulk/batch inserts, updates, and deletes.
- Common table expressions using WITH and WrapWith.
- CountEstimate
using
EXPLAIN
to get estimated number of matching rows. - ORM supports has one, belongs to, has many, and many to many with composite/multi-column primary keys.
- Soft deletes.
- Creating tables from structs.
- ForEach that calls a function for each row returned by the query without loading all rows into the memory.
go-pg supports 2 last Go versions and requires a Go version with modules support. So make sure to initialize a Go module:
go mod init github.com/my/repo
And then install go-pg (note v10 in the import; omitting it is a popular mistake):
go get github.com/go-pg/pg/v10
package pg_test
import (
"fmt"
"github.com/go-pg/pg/v10"
"github.com/go-pg/pg/v10/orm"
)
type User struct {
Id int64
Name string
Emails []string
}
func (u User) String() string {
return fmt.Sprintf("User<%d %s %v>", u.Id, u.Name, u.Emails)
}
type Story struct {
Id int64
Title string
AuthorId int64
Author *User `pg:"rel:has-one"`
}
func (s Story) String() string {
return fmt.Sprintf("Story<%d %s %s>", s.Id, s.Title, s.Author)
}
func ExampleDB_Model() {
db := pg.Connect(&pg.Options{
User: "postgres",
})
defer db.Close()
err := createSchema(db)
if err != nil {
panic(err)
}
user1 := &User{
Name: "admin",
Emails: []string{"admin1@admin", "admin2@admin"},
}
_, err = db.Model(user1).Insert()
if err != nil {
panic(err)
}
_, err = db.Model(&User{
Name: "root",
Emails: []string{"root1@root", "root2@root"},
}).Insert()
if err != nil {
panic(err)
}
story1 := &Story{
Title: "Cool story",
AuthorId: user1.Id,
}
_, err = db.Model(story1).Insert()
if err != nil {
panic(err)
}
// Select user by primary key.
user := &User{Id: user1.Id}
err = db.Model(user).WherePK().Select()
if err != nil {
panic(err)
}
// Select all users.
var users []User
err = db.Model(&users).Select()
if err != nil {
panic(err)
}
// Select story and associated author in one query.
story := new(Story)
err = db.Model(story).
Relation("Author").
Where("story.id = ?", story1.Id).
Select()
if err != nil {
panic(err)
}
fmt.Println(user)
fmt.Println(users)
fmt.Println(story)
// Output: User<1 admin [admin1@admin admin2@admin]>
// [User<1 admin [admin1@admin admin2@admin]> User<2 root [root1@root root2@root]>]
// Story<1 Cool story User<1 admin [admin1@admin admin2@admin]>>
}
// createSchema creates database schema for User and Story models.
func createSchema(db *pg.DB) error {
models := []interface{}{
(*User)(nil),
(*Story)(nil),
}
for _, model := range models {
err := db.Model(model).CreateTable(&orm.CreateTableOptions{
Temp: true,
})
if err != nil {
return err
}
}
return nil
}