)
        )
    }

    id("${model.projectId}_TestPerformanceTest")
    name = "Test performance test tasks - Java8 Linux"
    description = "Tries to run an adhoc performance test without a database connection to verify this is still working"

    applyPerformanceTestSettings()
    artifactRules = individualPerformanceTestArtifactRules

    steps {

# you may need to define a router file `my.application.routes`.
# Default to Routes in the root package (and `conf/routes`)
# application.router=my.application.Routes

# Database configuration
# ~~~~~
# You can declare as many datasources as you want.
# By convention, the default datasource is named `default`
#
# db.default.driver=org.h2.Driver
# db.default.url="jdbc:h2:mem:play"

package gorm

import (
	"context"
	"database/sql"
	"database/sql/driver"
	"errors"
	"reflect"
	"sync"
)

type Stmt struct {
	*sql.Stmt
	Transaction bool
	prepared    chan struct{}
	prepareErr  error
}

type PreparedStmtDB struct {
	Stmts map[string]*Stmt
	Mux   *sync.RWMutex
	ConnPool
}

func NewPreparedStmtDB(connPool ConnPool) *PreparedStmtDB {
	return &PreparedStmtDB{
		ConnPool: connPool,

```Python hl_lines="1  8-9"
{!../../docs_src/response_cookies/tutorial002.py!}
```

And then you can return any object you need, as you normally would (a `dict`, a database model, etc).

And if you declared a `response_model`, it will still be used to filter and convert the object you returned.

class HeroCreate(HeroBase):
    secret_name: str


class HeroUpdate(HeroBase):
    name: Union[str, None] = None
    age: Union[int, None] = None
    secret_name: Union[str, None] = None


sqlite_file_name = "database.db"
sqlite_url = f"sqlite:///{sqlite_file_name}"

connect_args = {"check_same_thread": False}
engine = create_engine(sqlite_url, connect_args=connect_args)


def create_db_and_tables():

class HeroCreate(HeroBase):
    secret_name: str


class HeroUpdate(HeroBase):
    name: str | None = None
    age: int | None = None
    secret_name: str | None = None


sqlite_file_name = "database.db"
sqlite_url = f"sqlite:///{sqlite_file_name}"

connect_args = {"check_same_thread": False}
engine = create_engine(sqlite_url, connect_args=connect_args)


def create_db_and_tables():

> In a cloud-native environment, scalability is not a function of the application but the orchestration platform.

In a typical modern infrastructure deployment, application, database, key-store, etc. already live in containers and are managed by orchestration platforms. MinIO brings robust, scalable, AWS S3 compatible object storage to the lot.

Dit betekent ook dat je in veel gevallen het object dat je van een request krijgt **direct naar je database** kunt sturen, omdat alles automatisch wordt gevalideerd.

Hetzelfde geldt ook andersom, in veel gevallen kun je dus het object dat je krijgt van de database **direct doorgeven aan de client**.

Do you want to just have a `str`? Or just a `dict`? Or a database class model instance directly? It all works the same way.

You actually don't have users that log in to your application but robots, bots, or other systems, that have just an access token? Again, it all works the same.

package tests_test

import (
	"database/sql"
	"errors"
	"testing"

	"gorm.io/gorm"
	. "gorm.io/gorm/utils/tests"
)

func TestNamedArg(t *testing.T) {
	type NamedUser struct {
		gorm.Model
		Name1 string
		Name2 string
		Name3 string
	}

	DB.Migrator().DropTable(&NamedUser{})
	DB.AutoMigrate(&NamedUser{})

	namedUser := NamedUser{Name1: "jinzhu1", Name2: "jinzhu2", Name3: "jinzhu3"}
	DB.Create(&namedUser)