.. _postgresql_toplevel: PostgreSQL ========== .. automodule:: sqlalchemy.dialects.postgresql.base PostgreSQL Data Types ------------------------ As with all SQLAlchemy dialects, all UPPERCASE types that are known to be valid with Postgresql are importable from the top level dialect, whether they originate from :mod:`sqlalchemy.types` or from the local dialect:: from sqlalchemy.dialects.postgresql import \ ARRAY, BIGINT, BIT, BOOLEAN, BYTEA, CHAR, CIDR, DATE, \ DOUBLE_PRECISION, ENUM, FLOAT, HSTORE, INET, INTEGER, \ INTERVAL, JSON, JSONB, MACADDR, NUMERIC, OID, REAL, SMALLINT, TEXT, \ TIME, TIMESTAMP, UUID, VARCHAR, INT4RANGE, INT8RANGE, NUMRANGE, \ DATERANGE, TSRANGE, TSTZRANGE, TSVECTOR Types which are specific to PostgreSQL, or have PostgreSQL-specific construction arguments, are as follows: .. currentmodule:: sqlalchemy.dialects.postgresql .. autoclass:: array .. autoclass:: ARRAY :members: __init__, Comparator .. autoclass:: Any .. autoclass:: All .. autoclass:: BIT :members: __init__ .. autoclass:: BYTEA :members: __init__ .. autoclass:: CIDR :members: __init__ .. autoclass:: DOUBLE_PRECISION :members: __init__ .. autoclass:: ENUM :members: __init__, create, drop .. autoclass:: HSTORE :members: .. autoclass:: hstore :members: .. autoclass:: INET :members: __init__ .. autoclass:: INTERVAL :members: __init__ .. autoclass:: JSON :members: .. autoclass:: JSONB :members: .. autoclass:: JSONElement :members: .. autoclass:: MACADDR :members: __init__ .. autoclass:: OID :members: __init__ .. autoclass:: REAL :members: __init__ .. autoclass:: TSVECTOR :members: __init__ .. autoclass:: UUID :members: __init__ Range Types ~~~~~~~~~~~ The new range column types found in PostgreSQL 9.2 onwards are catered for by the following types: .. autoclass:: INT4RANGE .. autoclass:: INT8RANGE .. autoclass:: NUMRANGE .. autoclass:: DATERANGE .. autoclass:: TSRANGE .. autoclass:: TSTZRANGE The types above get most of their functionality from the following mixin: .. autoclass:: sqlalchemy.dialects.postgresql.ranges.RangeOperators :members: .. warning:: The range type DDL support should work with any Postgres DBAPI driver, however the data types returned may vary. If you are using ``psycopg2``, it's recommended to upgrade to version 2.5 or later before using these column types. When instantiating models that use these column types, you should pass whatever data type is expected by the DBAPI driver you're using for the column type. For :mod:`psycopg2` these are :class:`~psycopg2.extras.NumericRange`, :class:`~psycopg2.extras.DateRange`, :class:`~psycopg2.extras.DateTimeRange` and :class:`~psycopg2.extras.DateTimeTZRange` or the class you've registered with :func:`~psycopg2.extras.register_range`. For example: .. code-block:: python from psycopg2.extras import DateTimeRange from sqlalchemy.dialects.postgresql import TSRANGE class RoomBooking(Base): __tablename__ = 'room_booking' room = Column(Integer(), primary_key=True) during = Column(TSRANGE()) booking = RoomBooking( room=101, during=DateTimeRange(datetime(2013, 3, 23), None) ) PostgreSQL Constraint Types --------------------------- SQLAlchemy supports Postgresql EXCLUDE constraints via the :class:`ExcludeConstraint` class: .. autoclass:: ExcludeConstraint :members: __init__ For example:: from sqlalchemy.dialects.postgresql import ExcludeConstraint, TSRANGE class RoomBooking(Base): __tablename__ = 'room_booking' room = Column(Integer(), primary_key=True) during = Column(TSRANGE()) __table_args__ = ( ExcludeConstraint(('room', '='), ('during', '&&')), ) psycopg2 -------------- .. automodule:: sqlalchemy.dialects.postgresql.psycopg2 py-postgresql -------------------- .. automodule:: sqlalchemy.dialects.postgresql.pypostgresql pg8000 -------------- .. automodule:: sqlalchemy.dialects.postgresql.pg8000 zxjdbc -------------- .. automodule:: sqlalchemy.dialects.postgresql.zxjdbc