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# mssql/mxodbc.py # Copyright (C) 2005-2021 the SQLAlchemy authors and contributors # # # This module is part of SQLAlchemy and is released under # the MIT License: http://www.opensource.org/licenses/mit-license.php """ .. dialect:: mssql+mxodbc :name: mxODBC :dbapi: mxodbc :connectstring: mssql+mxodbc://:@ :url: http://www.egenix.com/ Execution Modes --------------- mxODBC features two styles of statement execution, using the ``cursor.execute()`` and ``cursor.executedirect()`` methods (the second being an extension to the DBAPI specification). The former makes use of a particular API call specific to the SQL Server Native Client ODBC driver known SQLDescribeParam, while the latter does not. mxODBC apparently only makes repeated use of a single prepared statement when SQLDescribeParam is used. The advantage to prepared statement reuse is one of performance. The disadvantage is that SQLDescribeParam has a limited set of scenarios in which bind parameters are understood, including that they cannot be placed within the argument lists of function calls, anywhere outside the FROM, or even within subqueries within the FROM clause - making the usage of bind parameters within SELECT statements impossible for all but the most simplistic statements. For this reason, the mxODBC dialect uses the "native" mode by default only for INSERT, UPDATE, and DELETE statements, and uses the escaped string mode for all other statements. This behavior can be controlled via :meth:`~sqlalchemy.sql.expression.Executable.execution_options` using the ``native_odbc_execute`` flag with a value of ``True`` or ``False``, where a value of ``True`` will unconditionally use native bind parameters and a value of ``False`` will unconditionally use string-escaped parameters. """ from .base import _MSDate from .base import _MSDateTime from .base import _MSTime from .base import MSDialect from .base import VARBINARY from .pyodbc import _MSNumeric_pyodbc from .pyodbc import MSExecutionContext_pyodbc from ... import types as sqltypes from ...connectors.mxodbc import MxODBCConnector class _MSNumeric_mxodbc(_MSNumeric_pyodbc): """Include pyodbc's numeric processor.""" class _MSDate_mxodbc(_MSDate): def bind_processor(self, dialect): def process(value): if value is not None: return "%s-%s-%s" % (value.year, value.month, value.day) else: return None return process class _MSTime_mxodbc(_MSTime): def bind_processor(self, dialect): def process(value): if value is not None: return "%s:%s:%s" % (value.hour, value.minute, value.second) else: return None return process class _VARBINARY_mxodbc(VARBINARY): """ mxODBC Support for VARBINARY column types. This handles the special case for null VARBINARY values, which maps None values to the mx.ODBC.Manager.BinaryNull symbol. """ def bind_processor(self, dialect): if dialect.dbapi is None: return None DBAPIBinary = dialect.dbapi.Binary def process(value): if value is not None: return DBAPIBinary(value) else: # should pull from mx.ODBC.Manager.BinaryNull return dialect.dbapi.BinaryNull return process class MSExecutionContext_mxodbc(MSExecutionContext_pyodbc): """ The pyodbc execution context is useful for enabling SELECT SCOPE_IDENTITY in cases where OUTPUT clause does not work (tables with insert triggers). """ # todo - investigate whether the pyodbc execution context # is really only being used in cases where OUTPUT # won't work. class MSDialect_mxodbc(MxODBCConnector, MSDialect): # this is only needed if "native ODBC" mode is used, # which is now disabled by default. # statement_compiler = MSSQLStrictCompiler execution_ctx_cls = MSExecutionContext_mxodbc # flag used by _MSNumeric_mxodbc _need_decimal_fix = True colspecs = { sqltypes.Numeric: _MSNumeric_mxodbc, sqltypes.DateTime: _MSDateTime, sqltypes.Date: _MSDate_mxodbc, sqltypes.Time: _MSTime_mxodbc, VARBINARY: _VARBINARY_mxodbc, sqltypes.LargeBinary: _VARBINARY_mxodbc, } def __init__(self, description_encoding=None, **params): super(MSDialect_mxodbc, self).__init__(**params) self.description_encoding = description_encoding dialect = MSDialect_mxodbc