SQLAlchemy normally relates these types to the The NTEXT, TEXT and IMAGE datatypes are to be removed from SQL Previous - if a server version below 2008 is detected, DDLįor these types will be issued as DATETIME. The DATE and TIME types are not available for MSSQL 2005 and To datetime.datetime() objects as required by most MSSQL drivers,Īnd results are processed from strings if needed. Date / Time Handling ¶ĭATE and TIME are supported.
If nullable is True or False then the column will be Integer values in Python 3), use TypeDecorator as follows: To normalize the return type of theĪbove Numeric(10, 0) to return Python ints (which also support “long” Numeric type can be changed to return floats by passing False ORM object such as TestTable above, will be an instance of Decimal()Īnd not int when using SQL Server. The insertion of a row, which is also the value that would be assigned to an
When using the above pattern, the primary key identifier that comes back from Restriction that autoincrement only applies to Integer is establishedĪt the metadata level and not at the per-dialect level. Information that accurately describes the intent of the code. In the above example, Integer().with_variant() provides clear usage with_variant ( Numeric ( 10, 0 ), "mssql" ), primary_key = True, autoincrement = True, ) name = Column ( String ) Sequence - and will generate DDL as such:įrom sqlalchemy import Column from sqlalchemy import Integer from sqlalchemy import Numeric from sqlalchemy import String from import declarative_base Base = declarative_base () class TestTable ( Base ): _tablename_ = "test" id = Column ( Integer (). The first integer primary key column in a Table will beĬonsidered to be the identity column - unless it is associated with a SQLAlchemy considers IDENTITY within its default “autoincrement”īehavior for an integer primary key column, described atĬtoincrement. IDENTITY construct, which can be placed on any single integer column in a SQL Server provides so-called “auto incrementing” behavior using the Auto Increment Behavior / IDENTITY Columns ¶ See the “External Dialects” list on theĭialects page. In addition to the above DBAPI layers with native SQLAlchemy support, thereĪre third-party dialects for other DBAPI layers that are compatible Please refer to individual DBAPI sections for connect information. The following dialect/DBAPI options are available. Supported Microsoft SQL Server versions ¶ The following table summarizes current support levels for database release versions.
Support for the Microsoft SQL Server database.