Let's say I have a struct:
type User struct {
Name string
Id int
Score int
}
And a database table with the same schema. What's the easiest way to parse a database row into a struct? I've added an answer below but I'm not sure it's the best one.
Here's one way to do it - just assign all of the struct values manually in the Scan function.
func getUser(name string) (*User, error) {
var u User
// this calls sql.Open, etc.
db := getConnection()
// note the below syntax only works for postgres
err := db.QueryRow("SELECT * FROM users WHERE name = $1", name).Scan(&u.Id, &u.Name, &u.Score)
if err != nil {
return &User{}, err
} else {
return &u, nil
}
}
sql.NullString and convert the struct to JSON then the generated is not friendly, needing to use a VO or something like that –
Coldiron Go package tests often provide clues as to ways of doing things. For example, from database/sql/sql_test.go,
func TestQuery(t *testing.T) {
/* . . . */
rows, err := db.Query("SELECT|people|age,name|")
if err != nil {
t.Fatalf("Query: %v", err)
}
type row struct {
age int
name string
}
got := []row{}
for rows.Next() {
var r row
err = rows.Scan(&r.age, &r.name)
if err != nil {
t.Fatalf("Scan: %v", err)
}
got = append(got, r)
}
/* . . . */
}
func TestQueryRow(t *testing.T) {
/* . . . */
var name string
var age int
var birthday time.Time
err := db.QueryRow("SELECT|people|age,name|age=?", 3).Scan(&age)
/* . . . */
}
Which, for your question, querying a row into a structure, would translate to something like:
var row struct {
age int
name string
}
err = db.QueryRow("SELECT|people|age,name|age=?", 3).Scan(&row.age, &row.name)
I know that looks similar to your solution, but it's important to show how to find a solution.
I recommend github.com/jmoiron/sqlx.
From the README:
sqlx is a library which provides a set of extensions on go's standard
database/sqllibrary. The sqlx versions ofsql.DB,sql.TX,sql.Stmt, et al. all leave the underlying interfaces untouched, so that their interfaces are a superset on the standard ones. This makes it relatively painless to integrate existing codebases using database/sql with sqlx.Major additional concepts are:
- Marshal rows into structs (with embedded struct support), maps, and slices
- Named parameter support including prepared statements
GetandSelectto go quickly from query to struct/slice
The README also includes a code snippet demonstrating scanning a row into a struct:
type Place struct {
Country string
City sql.NullString
TelephoneCode int `db:"telcode"`
}
// Loop through rows using only one struct
place := Place{}
rows, err := db.Queryx("SELECT * FROM place")
for rows.Next() {
err := rows.StructScan(&place)
if err != nil {
log.Fatalln(err)
}
fmt.Printf("%#v\n", place)
}
Note that we didn't have to manually map each column to a field of the struct. sqlx has some default mappings for struct fields to database columns, as well as being able to specify database columns using tags (note the TelephoneCode field of the Place struct above). You can read more about that in the documentation.
Here's one way to do it - just assign all of the struct values manually in the Scan function.
func getUser(name string) (*User, error) {
var u User
// this calls sql.Open, etc.
db := getConnection()
// note the below syntax only works for postgres
err := db.QueryRow("SELECT * FROM users WHERE name = $1", name).Scan(&u.Id, &u.Name, &u.Score)
if err != nil {
return &User{}, err
} else {
return &u, nil
}
}
sql.NullString and convert the struct to JSON then the generated is not friendly, needing to use a VO or something like that –
Coldiron rows, err := connection.Query("SELECT `id`, `username`, `email` FROM `users`")
if err != nil {
panic(err.Error())
}
for rows.Next() {
var user User
if err := rows.Scan(&user.Id, &user.Username, &user.Email); err != nil {
log.Println(err.Error())
}
users = append(users, user)
}
Here is a library just for that: scany.
You can use it like that:
type User struct {
Name string
Id int
Score int
}
// db is your *sql.DB instance
// ctx is your current context.Context instance
// Use sqlscan.Select to query multiple records.
var users []*User
sqlscan.Select(ctx, db, &users, `SELECT name, id, score FROM users`)
// Use sqlscan.Get to query exactly one record.
var user User
sqlscan.Get(ctx, db, &user, `SELECT name, id, score FROM users WHERE id=123`)
It's well documented and easy to work with.
Disclaimer: I am the author of this library.
There are already some good answers here, I would like to add an SQL library I wrote just for tackling this issue of how complex it is to do a simple query on the most used Golang libraries; its called KSQL (not the Kafka one, the K stands for KISS or Keep It Stupid Simple).
Using it you could scan a user into a struct like this:
import (
"context"
"fmt"
"github.com/vingarcia/ksql"
"github.com/vingarcia/ksql/adapters/kpgx"
)
type User struct {
Id int `ksql:"id"`
Name string `ksql:"name"`
Score int `ksql:"score"`
}
// Just a simple struct containing the table name and
// the name of the ID column or columns:
var UsersTable = ksql.NewTable("users", "id")
func main() {
ctx := context.Background()
dsn := "host=localhost user=postgres password=postgres dbname=postgres port=5432 sslmode=disable TimeZone=UTC"
db, err := kpgx.New(ctx, dsn, ksql.Config{})
if err != nil {
panic("failed to connect database")
}
// Lets insert a user so the query below has something to return:
err = db.Insert(ctx, UsersTable, &User{
Name: "SomeUser",
Score: 42,
})
if err != nil {
panic(err)
}
var user User
err = db.QueryOne(ctx, &user, "FROM users WHERE name = $1", "SomeUser")
if err != nil {
panic(err)
}
fmt.Printf("%+v\n", user) // {Id:1 Name:SomeUser Score:42}
}
use : go-models-mysql sqlbuilder
val, err = m.ScanRowType(row, (*UserTb)(nil))
or the full code
import (
"database/sql"
"fmt"
lib "github.com/eehsiao/go-models-lib"
mysql "github.com/eehsiao/go-models-mysql"
)
// MyUserDao : extend from mysql.Dao
type MyUserDao struct {
*mysql.Dao
}
// UserTb : sql table struct that to store into mysql
type UserTb struct {
Name sql.NullString `TbField:"Name"`
Id int `TbField:"Id"`
Score int `TbField:"Score"`
}
// GetFirstUser : this is a data logical function, you can write more logical in there
// sample data logical function to get the first user
func (m *MyUserDao) GetFirstUser() (user *User, err error) {
m.Select("Name", "Id", "Score").From("user").Limit(1)
fmt.Println("GetFirstUser", m.BuildSelectSQL().BuildedSQL())
var (
val interface{}
row *sql.Row
)
if row, err = m.GetRow(); err == nil {
if val, err = m.ScanRowType(row, (*UserTb)(nil)); err == nil {
u, _ := val.(*UserTb)
user = &User{
Name: lib.Iif(u.Name.Valid, u.Nae.String, "").(string),
Id: u.Id,
Score: u.Score,
}
}
}
row, val = nil, nil
return
}
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