I'm trying to learn Go and Gorm by building a little prototype order management app. The database is MySQL. With simple queries Gorm has been stellar. However, when trying to obtain a result set involving a combination one-to-many with a has-one relationship Gorm seems to fall short. No doubt, it is my lack of understanding that is actually falling short. I can't seem to find any online examples of what I am trying to accomplish. Any help would be greatly appreciated.
Go Structs
// Order
type Order struct {
gorm.Model
Status string
OrderItems []OrderItem
}
// Order line item
type OrderItem struct {
gorm.Model
OrderID uint
ItemID uint
Item Item
Quantity int
}
// Product
type Item struct {
gorm.Model
ItemName string
Amount float32
}
Database tables
orders
id | status
1 | pending
order_items
id | order_id | item_id | quantity
1 | 1 | 1 | 1
2 | 1 | 2 | 4
items
id | item_name | amount
1 | Go Mug | 12.49
2 | Go Keychain | 6.95
3 | Go T-Shirt | 17.99
Current query
order := &Order
if err := db.Where("id = ? and status = ?", reqOrder.id, "pending")
.First(&order).Error; err != nil {
fmt.Printf(err.Error())
}
db.Model(&order).Association("OrderItems").Find(&order.OrderItems)
Results (gorm makes 2 db queries)
order == Order {
id: 1,
status: pending,
OrderItems[]: {
{
ID: 1,
OrderID: 1,
ItemID: 1,
Item: nil,
Quantity: 1,
},
{
ID: 2,
OrderID: 1,
ItemID: 2,
Item: nil,
Quantity: 4,
}
}
Alternative query
order := &Order
db.Where("id = ? and status = ?", reqOrder.id, "cart")
.Preload("OrderItems").Preload("OrderItems.Item").First(&order)
Results (gorm makes 3 db queries)
order == Order {
id: 1,
status: pending,
OrderItems[]: {
{
ID: 1,
OrderID: 1,
ItemID: 1,
Item: {
ID: 1,
ItemName: Go Mug,
Amount: 12.49,
}
Quantity: 1,
},
{
ID: 2,
OrderID: 1,
ItemID: 2,
Item: {
ID: 2,
ItemName: Go Keychain,
Amount: 6.95,
},
Quantity: 4,
}
}
Ideal results
The "Alternative query" above produces the ideal query results. However, Gorm makes 3 separate database queries to do so. Ideally, the same results would be accomplished with 1 (or 2) database queries.
This could be accomplished in MySQL with a couple of joins. Gorm allows for joins. But, I was hoping to take advantage of some of Gorm's relational magic.
Thanks a bunch!