}

	if name != "groupby" || active != true || total != 40 {
		t.Errorf("group by two columns, name %v, age %v, active: %v", name, total, active)
	}

	if DB.Dialector.Name() == "mysql" {
		if err := DB.Model(&User{}).Select("name, age as total").Where("name LIKE ?", "groupby%").Having("total > ?", 300).Scan(&result).Error; err != nil {
			t.Errorf("no error should happen, but got %v", err)
		}

    #  Elements of this map are as below:
    #   o url: The URL for connecting database. (NotRequired - Default same as databaseInfoMap)
    #   o schema: The schema name. (NotRequired - Default '' e.g. no setting when MySQL)
    #   o user: The database user name. (Required)
    #   o password: The database password. (NotRequired - Default '')
    #
    #; schemaSyncCheckMap = map:{
    #    ; url = jdbc:...

    # o cursorSelectFetchSize: (NotRequired - Default null)
    #  The fetch size of JDBC parameter for cursor select.
    #  For example, specify Integer.MIN_VALUE to enable fetch of MySQL.
    #
    #; cursorSelectFetchSize = Integer.MIN_VALUE
    # - - - - - - - - - -/

    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

		t.Skip("skip sqlite, sqlserver due to it doesn't support multiple primary keys with auto increment")
	}

	if name := DB.Dialector.Name(); name == "postgres" || name == "mysql" || name == "gaussdb" {
		stmt := gorm.Statement{DB: DB}
		stmt.Parse(&Blog{})
		stmt.Schema.LookUpField("ID").Unique = true
		stmt.Parse(&Tag{})
		stmt.Schema.LookUpField("ID").Unique = true

    * Fait aussi modulable que possible, pour pouvoir fonctionner comme tel, tout en pouvant être utilisé qu'en partie grâce à Vue CLI.
* **PGAdmin** pour les bases de données PostgreSQL, facilement modifiable pour utiliser PHPMYAdmin ou MySQL.
* **Flower** pour la surveillance de tâches Celery.
* Équilibrage de charge entre le frontend et le backend avec **Traefik**, afin de pouvoir avoir les deux sur le même domaine, séparés par chemins, mais servis par différents conteneurs.

    # o database: (Required)
    #  This is the target database, only considered when generating
    #  the SQL for your DBFlute project.
    #  Your possible choices are:
    #
    #    mysql, postgresql, oracle, db2, sqlserver,
    #    h2, derby, (sqlite, firebird, msaccess)
    #
    ; database = h2
    # - - - - - - - - - -/

    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

	}
	for k, args := range cfg.Notify.Kafka {
		notify.SetNotifyKafka(newCfg, k, args)
	}
	for k, args := range cfg.Notify.MQTT {
		notify.SetNotifyMQTT(newCfg, k, args)
	}
	for k, args := range cfg.Notify.MySQL {
		notify.SetNotifyMySQL(newCfg, k, args)
	}
	for k, args := range cfg.Notify.NATS {
		notify.SetNotifyNATS(newCfg, k, args)
	}
	for k, args := range cfg.Notify.NSQ {
		notify.SetNotifyNSQ(newCfg, k, args)

		t.Fatalf("Failed to scan age, got %v", err)
	}

	if age != 10 {
		t.Errorf("Scan with Row, age expects: %v, got %v", user2.Age, age)
	}

	table := "gorm.users"
	if DB.Dialector.Name() != "mysql" || isTiDB() {
		table = "users" // other databases doesn't support select with `database.table`
	}

	DB.Table(table).Where(map[string]interface{}{"name": user2.Name}).Update("age", 20)

		t.Skipf("This test case skipped, because of TiDB '%s'", reason)
	}
}

func isTiDB() bool {
	return os.Getenv("GORM_DIALECT") == "tidb"
}

func isMysql() bool {
	return os.Getenv("GORM_DIALECT") == "mysql"
}

func isSqlite() bool {
	return os.Getenv("GORM_DIALECT") == "sqlite"
}

func db(unscoped bool) *gorm.DB {
	if unscoped {
		return DB.Unscoped()
	} else {
		return DB
	}

* **PGAdmin** für die PostgreSQL-Datenbank, können Sie problemlos ändern, sodass PHPMyAdmin und MySQL verwendet wird.
* **Flower** für die Überwachung von Celery-Jobs.