* 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

      Table<R, C, V> table(Table<R, C, V> table, @Nullable Object mutex) {
    return new SynchronizedTable<>(table, mutex);
  }

  static final class SynchronizedTable<
          R extends @Nullable Object, C extends @Nullable Object, V extends @Nullable Object>
      extends SynchronizedObject implements Table<R, C, V> {

    SynchronizedTable(Table<R, C, V> delegate, @Nullable Object mutex) {

      Table<R, C, V> table(Table<R, C, V> table, @Nullable Object mutex) {
    return new SynchronizedTable<>(table, mutex);
  }

  static final class SynchronizedTable<
          R extends @Nullable Object, C extends @Nullable Object, V extends @Nullable Object>
      extends SynchronizedObject implements Table<R, C, V> {

    SynchronizedTable(Table<R, C, V> delegate, @Nullable Object mutex) {

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

### Mehrere Modelle erstellen { #create-multiple-models }

In **SQLModel** ist jede Modellklasse, die `table=True` hat, ein **Tabellenmodell**.

Und jede Modellklasse, die `table=True` nicht hat, ist ein **Datenmodell**, diese sind tatsächlich nur Pydantic-Modelle (mit ein paar kleinen zusätzlichen Funktionen). 🤓

  }

  @Generates
  static <R, C, V> Table<R, C, V> generateTable(R row, C column, V value) {
    return generateHashBasedTable(row, column, value);
  }

  @Generates
  static <R, C, V> HashBasedTable<R, C, V> generateHashBasedTable(R row, C column, V value) {
    HashBasedTable<R, C, V> table = HashBasedTable.create();
    table.put(row, column, value);
    return table;
  }

  }

  @GwtIncompatible // RegularImmutableSet.table not in emulation
  public void testResizeTable() {
    verifyTableSize(100, 2, 8);
    verifyTableSize(100, 5, 8);
    verifyTableSize(100, 33, 64);
    verifyTableSize(17, 17, 32);
    verifyTableSize(17, 16, 32);
    verifyTableSize(17, 15, 32);
  }

  @GwtIncompatible // RegularImmutableSet.table not in emulation

  }

  /** A factory that chooses the most space-efficient representation of the table. */
  static <R, C, V> RegularImmutableTable<R, C, V> forOrderedComponents(
      ImmutableList<Cell<R, C, V>> cellList,
      ImmutableSet<R> rowSpace,
      ImmutableSet<C> columnSpace) {
    // use a dense table if more than half of the cells have values
    // TODO(gak): tune this condition based on empirical evidence

			Type:        "string",
			Sensitive:   true,
		},
		config.HelpKV{
			Key:         target.PostgresTable,
			Description: "DB table name to store/update events, table is auto-created",
			Type:        "string",
		},
		config.HelpKV{
			Key:         target.PostgresFormat,
			Description: formatComment,
			Type:        "namespace*|access",
		},