///

SQLModel은 SQLAlchemy를 기반으로 하므로, SQLAlchemy에서 **지원하는 모든 데이터베이스**를 손쉽게 사용할 수 있습니다(SQLModel에서도 동일하게 지원됩니다). 예를 들면:

* PostgreSQL
* MySQL
* SQLite
* Oracle
* Microsoft SQL Server 등.

이 예제에서는 **SQLite**를 사용합니다. SQLite는 단일 파일을 사용하고 파이썬에서 기본적으로 지원하기 때문입니다. 따라서 이 예제를 그대로 복사하여 실행할 수 있습니다.

나중에 실제 프로덕션 애플리케이션에서는 **PostgreSQL**과 같은 데이터베이스 서버를 사용하는 것이 좋습니다.

/// tip | 팁

		Name string `gorm:"unique"`
	}

	db, err := OpenTestConnection(&gorm.Config{TranslateError: true})
	if err != nil {
		t.Fatalf("failed to connect database, got error %v", err)
	}

	dialectors := map[string]bool{"sqlite": true, "postgres": true, "gaussdb": true, "mysql": true, "sqlserver": true}
	if supported, found := dialectors[db.Dialector.Name()]; !(found && supported) {
		return
	}

	DB.Migrator().DropTable(&City{})

	sort.Strings(contents)
	return reflect.DeepEqual(tagContents, contents)
}

func TestManyToManyWithMultiPrimaryKeys(t *testing.T) {
	if name := DB.Dialector.Name(); name == "sqlite" || name == "sqlserver" {
		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" {

#!/bin/bash -e

dialects=("sqlite" "mysql" "postgres" "gaussdb" "sqlserver" "tidb")

if [[ $(pwd) == *"gorm/tests"* ]]; then
  cd ..
fi

if [ -d tests ]
then
  cd tests
  go get -u -t ./...
  go mod download
  go mod tidy
  cd ..
fi

# SqlServer for Mac M1
if [[ -z $GITHUB_ACTION && -d tests ]]; then
  cd tests
  if [[ $(uname -a) == *" arm64" ]]; then

    id: int | None = Field(default=None, primary_key=True)
    name: str = Field(index=True)
    age: int | None = Field(default=None, index=True)
    secret_name: str


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():
    SQLModel.metadata.create_all(engine)

    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():
    SQLModel.metadata.create_all(engine)

                            TF_Graph* graph, TF_Status* s);

// Split `input` along the first dimension into 3 tensors
TF_Operation* Split3(TF_Operation* input, TF_Graph* graph, TF_Status* s,
                     const char* name = "split3");

bool IsPlaceholder(const tensorflow::NodeDef& node_def);

bool IsScalarConst(const tensorflow::NodeDef& node_def, int v);

* PostgreSQL
* MySQL
* SQLite
* Oracle
* Microsoft SQL Server, etc.

Neste exemplo, usaremos **SQLite**, porque ele usa um único arquivo e o Python tem suporte integrado. Assim, você pode copiar este exemplo e executá-lo como está.

    name: str = Field(index=True)
    age: Union[int, None] = Field(default=None, index=True)
    secret_name: str


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():
    SQLModel.metadata.create_all(engine)

			t.Errorf("user's %v expects: %v, got %v", key, value, count)
		}
	}
}

// only sqlite, postgres, gaussdb, sqlserver support returning
func TestSoftDeleteReturning(t *testing.T) {
	if DB.Dialector.Name() != "sqlite" && DB.Dialector.Name() != "postgres" && DB.Dialector.Name() != "gaussdb" && DB.Dialector.Name() != "sqlserver" {
		return
	}

	users := []*User{