log.Printf("Failed to drop table, got error %v\n", err)
		os.Exit(1)
	}

	if err = DB.AutoMigrate(allModels...); err != nil {
		log.Printf("Failed to auto migrate, but got error %v\n", err)
		os.Exit(1)
	}

	for _, m := range allModels {
		if !DB.Migrator().HasTable(m) {
			log.Printf("Failed to create table for %#v\n", m)
			os.Exit(1)
		}
	}

		t.Errorf("joins should be ordered, but got %v", stmt.SQL.String())
	}

	iv := DB.Table(`table_invoices`).Select(`seller, SUM(total) as total, SUM(paid) as paid, SUM(balance) as balance`).Group(`seller`)
	stmt = dryDB.Table(`table_employees`).Select(`id, name, iv.total, iv.paid, iv.balance`).Joins(`LEFT JOIN (?) AS iv ON iv.seller = table_employees.id`, iv).Scan(&user).Statement

   * table is internally partitioned to try to permit the indicated number of concurrent updates
   * without contention. Because assignment of entries to these partitions is not necessarily
   * uniform, the actual concurrency observed may vary. Ideally, you should choose a value to
   * accommodate as many threads as will ever concurrently modify the table. Using a significantly

| `license_info` | `dict` | 對外公開的 API 授權資訊。可包含多個欄位。<detai...

   * table is internally partitioned to try to permit the indicated number of concurrent updates
   * without contention. Because assignment of entries to these partitions is not necessarily
   * uniform, the actual concurrency observed may vary. Ideally, you should choose a value to
   * accommodate as many threads as will ever concurrently modify the table. Using a significantly

create table DUMMY_MEMBER(
    MEMBER_ID INTEGER IDENTITY NOT NULL PRIMARY KEY,
    MEMBER_NAME VARCHAR(200) NOT NULL,
    MEMBER_ACCOUNT VARCHAR(50) NOT NULL,
    MEMBER_STATUS_CODE CHAR(3) NOT NULL,
    FORMALIZED_DATETIME DATETIME,
    BIRTHDATE DATE,
    REGISTER_DATETIME DATETIME NOT NULL,
    REGISTER_USER VARCHAR(200) NOT NULL,
    UPDATE_DATETIME DATETIME NOT NULL,
    UPDATE_USER VARCHAR(200) NOT NULL,
    VERSION_NO BIGINT NOT NULL

            if (elementName.equals("table")) {
                if (currentTable != null) {
                    throw new UnsupportedOperationException("A table within a table is not supported.");
                }
                currentTable = document.createElement("table");
                nodes.push(currentTable);
                return true;
            }

### Criar Múltiplos Modelos { #create-multiple-models }

No **SQLModel**, qualquer classe de modelo que tenha `table=True` é um **modelo de tabela**.

E qualquer classe de modelo que não tenha `table=True` é um **modelo de dados**, esses são na verdade apenas modelos Pydantic (com alguns recursos extras pequenos). 🤓

     * For example, if you specify an underscore as the delimiter for JavaBeans and a period as the delimiter for {@link Map},
     * the property names for the source and destination will be as follows:
     * </p>
     * <table border="1">
     * <caption>Copied JavaBeans Properties</caption>
     * <tr>
     * <th>JavaBeans Property Name</th>
     * <th>{@literal Map} Property Name</th>
     * </tr>
     * <tr>

from fastapi.responses import StreamingResponse
from sqlmodel import Field, Session, SQLModel, create_engine

engine = create_engine("postgresql+psycopg://postgres:postgres@localhost/db")


class User(SQLModel, table=True):
    id: int | None = Field(default=None, primary_key=True)
    name: str


app = FastAPI()


def get_session():
    with Session(engine) as session:
        yield session