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FAQ
- How to execute jet statement in SQL transaction?
- How to construct dynamic projection list?
- How to construct dynamic condition?
- How to use jet in multi-tenant environment?
- How to work with exact decimal types?
tx, err := db.Begin()
...
stmt := SELECT(...)
...
var dest Dest
err = stmt.QueryContext(ctx, tx, &dest) // or stmt.Query(tx, &dest)
// or
res, err := stmt.ExecContext(ctx, tx) // or stmt.Exec(tx)
...
tx.Commit()More information on the execution of the statement can be found here.
var request struct {
ColumnsToSelect []string
ShowFullName bool
}
// ...
projectionList := ProjectionList{}
for _, columnName := range request.ColumnsToSelect {
switch columnName {
case Customer.CustomerID.Name():
projectionList = append(projectionList, Customer.CustomerID)
case Customer.Email.Name():
projectionList = append(projectionList, Customer.Email)
case Customer.CreateDate.Name():
projectionList = append(projectionList, Customer.CreateDate)
}
}
if request.ShowFullName {
projectionList = append(projectionList, Customer.FirstName.CONCAT(Customer.LastName))
}
stmt := SELECT(projectionList).
FROM(Customer).
LIMIT(3)var request struct {
CustomerID *int64
Email *string
Active *bool
}
// ....
condition := Bool(true)
if request.CustomerID != nil {
condition = condition.AND(Customer.CustomerID.EQ(Int(*request.CustomerID)))
}
if request.Email != nil {
condition = condition.AND(Customer.Email.EQ(String(*request.Email)))
}
if request.Active != nil {
condition = condition.AND(Customer.Activebool.EQ(Bool(*request.Active)))
}
stmt := SELECT(Customer.AllColumns).
FROM(Customer).
WHERE(condition) multiTenant1 :=SELECT(Artist.AllColumns).
FROM(Artists) // default schema/database "chinook"
ORDER_BY(Artist.ArtistId).
LIMIT(10)
Artist2 := Artist.FromSchema("chinook2") // the same generated SQL builder type used for different schema/database
multiTenant2 :=
SELECT(Artist2.AllColumns).
FROM(Artist2).
ORDER_BY(Artist2.ArtistId).
LIMIT(10)Generator will by default represents, exact decimal types (DECIMAL and NUMERIC) as float64 fields in the model types. This can lead to loss of precision during query result mapping.
To overcome this issue, we need to create a new a type to store decimal values, and then instruct generator to use this new type instead of default float64.
New type has to implement sql.Serializer and sql.Valuer interface.
type MoneyType int64 // or some other representation
func (m *MoneyType) Scan(value interface{}) error { // value is string
... add implementation
}
func (m MoneyType) Value() (driver.Value, error) {
... add implementation
}Similar behavior can be achieved without customizing a generator. For instance, assuming table name is my_table, and my_table has a column money of the type NUMERIC.
We can create a new custom model type, by wrapping generated MyTable type.
type MyTable struct {
model.MyTable // MyTable.Money contains float64 value
Money MoneyType // contains exact decimal value
}New MyTable type can be used in any place model.MyTable is used, as a QueryContext destination or as a model for INSERT or UPDATE statements.
It is also possible to use some of the existing third party decimal libraries:
import "github.com/shopspring/decimal"
type MyTable struct {
model.MyTable
Money decimal.Decimal
}- Home
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- SQL Builder
- Query Result Mapping (QRM)
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FAQ
- How to execute jet statement in SQL transaction?
- How to construct dynamic projection list?
- How to construct dynamic condition?
- How to use jet in multi-tenant environment?
- How to change model field type?
- How to use custom(or currently unsupported) functions and operators?
- How to use IN/NOT_IN with dynamic list of values?
- Scan stopped working after naming a destination type