path: root/lib/python2.7/site-packages/SQLAlchemy-0.7.0-py2.7-linux-x86_64.egg/sqlalchemy/dialects/mssql/base.py

# mssql/base.py
# Copyright (C) 2005-2011 the SQLAlchemy authors and contributors <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php

"""Support for the Microsoft SQL Server database.

Connecting
----------

See the individual driver sections below for details on connecting.

Auto Increment Behavior
-----------------------

``IDENTITY`` columns are supported by using SQLAlchemy
``schema.Sequence()`` objects. In other words::

    from sqlalchemy import Table, Integer, Sequence, Column

    Table('test', metadata,
           Column('id', Integer,
                  Sequence('blah',100,10), primary_key=True),
           Column('name', String(20))
         ).create(some_engine)

would yield::

   CREATE TABLE test (
     id INTEGER NOT NULL IDENTITY(100,10) PRIMARY KEY,
     name VARCHAR(20) NULL,
     )

Note that the ``start`` and ``increment`` values for sequences are
optional and will default to 1,1.

Implicit ``autoincrement`` behavior works the same in MSSQL as it
does in other dialects and results in an ``IDENTITY`` column.

* Support for ``SET IDENTITY_INSERT ON`` mode (automagic on / off for
  ``INSERT`` s)

* Support for auto-fetching of ``@@IDENTITY/@@SCOPE_IDENTITY()`` on
  ``INSERT``

Collation Support
-----------------

MSSQL specific string types support a collation parameter that
creates a column-level specific collation for the column. The
collation parameter accepts a Windows Collation Name or a SQL
Collation Name. Supported types are MSChar, MSNChar, MSString,
MSNVarchar, MSText, and MSNText. For example::

    from sqlalchemy.dialects.mssql import VARCHAR
    Column('login', VARCHAR(32, collation='Latin1_General_CI_AS'))

When such a column is associated with a :class:`.Table`, the
CREATE TABLE statement for this column will yield::

    login VARCHAR(32) COLLATE Latin1_General_CI_AS NULL

LIMIT/OFFSET Support
--------------------

MSSQL has no support for the LIMIT or OFFSET keysowrds. LIMIT is
supported directly through the ``TOP`` Transact SQL keyword::

    select.limit

will yield::

    SELECT TOP n

If using SQL Server 2005 or above, LIMIT with OFFSET
support is available through the ``ROW_NUMBER OVER`` construct. 
For versions below 2005, LIMIT with OFFSET usage will fail.

Nullability
-----------
MSSQL has support for three levels of column nullability. The default
nullability allows nulls and is explicit in the CREATE TABLE
construct::

    name VARCHAR(20) NULL

If ``nullable=None`` is specified then no specification is made. In
other words the database's configured default is used. This will
render::

    name VARCHAR(20)

If ``nullable`` is ``True`` or ``False`` then the column will be
``NULL` or ``NOT NULL`` respectively.

Date / Time Handling
--------------------
DATE and TIME are supported.   Bind parameters are converted
to datetime.datetime() objects as required by most MSSQL drivers,
and results are processed from strings if needed.
The DATE and TIME types are not available for MSSQL 2005 and
previous - if a server version below 2008 is detected, DDL
for these types will be issued as DATETIME.

Compatibility Levels
--------------------
MSSQL supports the notion of setting compatibility levels at the
database level. This allows, for instance, to run a database that
is compatibile with SQL2000 while running on a SQL2005 database
server. ``server_version_info`` will always return the database
server version information (in this case SQL2005) and not the
compatibiility level information. Because of this, if running under
a backwards compatibility mode SQAlchemy may attempt to use T-SQL
statements that are unable to be parsed by the database server.

Triggers
--------

SQLAlchemy by default uses OUTPUT INSERTED to get at newly
generated primary key values via IDENTITY columns or other
server side defaults.   MS-SQL does not 
allow the usage of OUTPUT INSERTED on tables that have triggers.
To disable the usage of OUTPUT INSERTED on a per-table basis,
specify ``implicit_returning=False`` for each :class:`.Table`
which has triggers::

    Table('mytable', metadata, 
        Column('id', Integer, primary_key=True), 
        # ...,
        implicit_returning=False
    )

Declarative form::

    class MyClass(Base):
        # ...
        __table_args__ = {'implicit_returning':False}


This option can also be specified engine-wide using the
``implicit_returning=False`` argument on :func:`.create_engine`.

Enabling Snapshot Isolation
---------------------------

Not necessarily specific to SQLAlchemy, SQL Server has a default transaction 
isolation mode that locks entire tables, and causes even mildly concurrent
applications to have long held locks and frequent deadlocks.   
Enabling snapshot isolation for the database as a whole is recommended 
for modern levels of concurrency support.  This is accomplished via the 
following ALTER DATABASE commands executed at the SQL prompt::

    ALTER DATABASE MyDatabase SET ALLOW_SNAPSHOT_ISOLATION ON

    ALTER DATABASE MyDatabase SET READ_COMMITTED_SNAPSHOT ON

Background on SQL Server snapshot isolation is available at
http://msdn.microsoft.com/en-us/library/ms175095.aspx.
  
Known Issues
------------

* No support for more than one ``IDENTITY`` column per table
* reflection of indexes does not work with versions older than
  SQL Server 2005

"""
import datetime, operator, re

from sqlalchemy import sql, schema as sa_schema, exc, util
from sqlalchemy.sql import select, compiler, expression, \
                            operators as sql_operators, \
                            util as sql_util
from sqlalchemy.engine import default, base, reflection
from sqlalchemy import types as sqltypes
from sqlalchemy.types import INTEGER, BIGINT, SMALLINT, DECIMAL, NUMERIC, \
                                FLOAT, TIMESTAMP, DATETIME, DATE, BINARY,\
                                VARBINARY, BLOB


from sqlalchemy.dialects.mssql import information_schema as ischema

MS_2008_VERSION = (10,)
MS_2005_VERSION = (9,)
MS_2000_VERSION = (8,)

RESERVED_WORDS = set(
    ['add', 'all', 'alter', 'and', 'any', 'as', 'asc', 'authorization',
     'backup', 'begin', 'between', 'break', 'browse', 'bulk', 'by', 'cascade',
     'case', 'check', 'checkpoint', 'close', 'clustered', 'coalesce',
     'collate', 'column', 'commit', 'compute', 'constraint', 'contains',
     'containstable', 'continue', 'convert', 'create', 'cross', 'current',
     'current_date', 'current_time', 'current_timestamp', 'current_user',
     'cursor', 'database', 'dbcc', 'deallocate', 'declare', 'default',
     'delete', 'deny', 'desc', 'disk', 'distinct', 'distributed', 'double',
     'drop', 'dump', 'else', 'end', 'errlvl', 'escape', 'except', 'exec',
     'execute', 'exists', 'exit', 'external', 'fetch', 'file', 'fillfactor',
     'for', 'foreign', 'freetext', 'freetexttable', 'from', 'full',
     'function', 'goto', 'grant', 'group', 'having', 'holdlock', 'identity',
     'identity_insert', 'identitycol', 'if', 'in', 'index', 'inner', 'insert',
     'intersect', 'into', 'is', 'join', 'key', 'kill', 'left', 'like',
     'lineno', 'load', 'merge', 'national', 'nocheck', 'nonclustered', 'not',
     'null', 'nullif', 'of', 'off', 'offsets', 'on', 'open', 'opendatasource',
     'openquery', 'openrowset', 'openxml', 'option', 'or', 'order', 'outer',
     'over', 'percent', 'pivot', 'plan', 'precision', 'primary', 'print',
     'proc', 'procedure', 'public', 'raiserror', 'read', 'readtext',
     'reconfigure', 'references', 'replication', 'restore', 'restrict',
     'return', 'revert', 'revoke', 'right', 'rollback', 'rowcount',
     'rowguidcol', 'rule', 'save', 'schema', 'securityaudit', 'select',
     'session_user', 'set', 'setuser', 'shutdown', 'some', 'statistics',
     'system_user', 'table', 'tablesample', 'textsize', 'then', 'to', 'top',
     'tran', 'transaction', 'trigger', 'truncate', 'tsequal', 'union',
     'unique', 'unpivot', 'update', 'updatetext', 'use', 'user', 'values',
     'varying', 'view', 'waitfor', 'when', 'where', 'while', 'with',
     'writetext',
    ])


class REAL(sqltypes.REAL):
    __visit_name__ = 'REAL'

    def __init__(self, **kw):
        # REAL is a synonym for FLOAT(24) on SQL server
        kw['precision'] = 24
        super(REAL, self).__init__(**kw)

class TINYINT(sqltypes.Integer):
    __visit_name__ = 'TINYINT'


# MSSQL DATE/TIME types have varied behavior, sometimes returning
# strings.  MSDate/TIME check for everything, and always
# filter bind parameters into datetime objects (required by pyodbc,
# not sure about other dialects).

class _MSDate(sqltypes.Date):
    def bind_processor(self, dialect):
        def process(value):
            if type(value) == datetime.date:
                return datetime.datetime(value.year, value.month, value.day)
            else:
                return value
        return process

    _reg = re.compile(r"(\d+)-(\d+)-(\d+)")
    def result_processor(self, dialect, coltype):
        def process(value):
            if isinstance(value, datetime.datetime):
                return value.date()
            elif isinstance(value, basestring):
                return datetime.date(*[
                        int(x or 0) 
                        for x in self._reg.match(value).groups()
                    ])
            else:
                return value
        return process

class TIME(sqltypes.TIME):
    def __init__(self, precision=None, **kwargs):
        self.precision = precision
        super(TIME, self).__init__()

    __zero_date = datetime.date(1900, 1, 1)

    def bind_processor(self, dialect):
        def process(value):
            if isinstance(value, datetime.datetime):
                value = datetime.datetime.combine(
                                self.__zero_date, value.time())
            elif isinstance(value, datetime.time):
                value = datetime.datetime.combine(self.__zero_date, value)
            return value
        return process

    _reg = re.compile(r"(\d+):(\d+):(\d+)(?:\.(\d+))?")
    def result_processor(self, dialect, coltype):
        def process(value):
            if isinstance(value, datetime.datetime):
                return value.time()
            elif isinstance(value, basestring):
                return datetime.time(*[
                        int(x or 0) 
                        for x in self._reg.match(value).groups()])
            else:
                return value
        return process

class _DateTimeBase(object):
    def bind_processor(self, dialect):
        def process(value):
            if type(value) == datetime.date:
                return datetime.datetime(value.year, value.month, value.day)
            else:
                return value
        return process

class _MSDateTime(_DateTimeBase, sqltypes.DateTime):
    pass

class SMALLDATETIME(_DateTimeBase, sqltypes.DateTime):
    __visit_name__ = 'SMALLDATETIME'

class DATETIME2(_DateTimeBase, sqltypes.DateTime):
    __visit_name__ = 'DATETIME2'

    def __init__(self, precision=None, **kw):
        super(DATETIME2, self).__init__(**kw)
        self.precision = precision


# TODO: is this not an Interval ?
class DATETIMEOFFSET(sqltypes.TypeEngine):
    __visit_name__ = 'DATETIMEOFFSET'

    def __init__(self, precision=None, **kwargs):
        self.precision = precision

class _StringType(object):
    """Base for MSSQL string types."""

    def __init__(self, collation=None):
        self.collation = collation

class TEXT(_StringType, sqltypes.TEXT):
    """MSSQL TEXT type, for variable-length text up to 2^31 characters."""

    def __init__(self, length=None, collation=None, **kw):
        """Construct a TEXT.

        :param collation: Optional, a column-level collation for this string
          value. Accepts a Windows Collation Name or a SQL Collation Name.

        """
        _StringType.__init__(self, collation)
        sqltypes.Text.__init__(self, length, **kw)

class NTEXT(_StringType, sqltypes.UnicodeText):
    """MSSQL NTEXT type, for variable-length unicode text up to 2^30
    characters."""

    __visit_name__ = 'NTEXT'

    def __init__(self, length=None, collation=None, **kw):
        """Construct a NTEXT.

        :param collation: Optional, a column-level collation for this string
          value. Accepts a Windows Collation Name or a SQL Collation Name.

        """
        _StringType.__init__(self, collation)
        sqltypes.UnicodeText.__init__(self, length, **kw)


class VARCHAR(_StringType, sqltypes.VARCHAR):
    """MSSQL VARCHAR type, for variable-length non-Unicode data with a maximum
    of 8,000 characters."""

    def __init__(self, length=None, collation=None, **kw):
        """Construct a VARCHAR.

        :param length: Optinal, maximum data length, in characters.

        :param convert_unicode: defaults to False.  If True, convert
          ``unicode`` data sent to the database to a ``str``
          bytestring, and convert bytestrings coming back from the
          database into ``unicode``.

          Bytestrings are encoded using the dialect's
          :attr:`~sqlalchemy.engine.base.Dialect.encoding`, which
          defaults to `utf-8`.

          If False, may be overridden by
          :attr:`sqlalchemy.engine.base.Dialect.convert_unicode`.

        :param collation: Optional, a column-level collation for this string
          value. Accepts a Windows Collation Name or a SQL Collation Name.

        """
        _StringType.__init__(self, collation)
        sqltypes.VARCHAR.__init__(self, length, **kw)

class NVARCHAR(_StringType, sqltypes.NVARCHAR):
    """MSSQL NVARCHAR type.

    For variable-length unicode character data up to 4,000 characters."""

    def __init__(self, length=None, collation=None, **kw):
        """Construct a NVARCHAR.

        :param length: Optional, Maximum data length, in characters.

        :param collation: Optional, a column-level collation for this string
          value. Accepts a Windows Collation Name or a SQL Collation Name.

        """
        _StringType.__init__(self, collation)
        sqltypes.NVARCHAR.__init__(self, length, **kw)

class CHAR(_StringType, sqltypes.CHAR):
    """MSSQL CHAR type, for fixed-length non-Unicode data with a maximum
    of 8,000 characters."""

    def __init__(self, length=None, collation=None, **kw):
        """Construct a CHAR.

        :param length: Optinal, maximum data length, in characters.

        :param convert_unicode: defaults to False.  If True, convert
          ``unicode`` data sent to the database to a ``str``
          bytestring, and convert bytestrings coming back from the
          database into ``unicode``.

          Bytestrings are encoded using the dialect's
          :attr:`~sqlalchemy.engine.base.Dialect.encoding`, which
          defaults to `utf-8`.

          If False, may be overridden by
          :attr:`sqlalchemy.engine.base.Dialect.convert_unicode`.

        :param collation: Optional, a column-level collation for this string
          value. Accepts a Windows Collation Name or a SQL Collation Name.

        """
        _StringType.__init__(self, collation)
        sqltypes.CHAR.__init__(self, length, **kw)

class NCHAR(_StringType, sqltypes.NCHAR):
    """MSSQL NCHAR type.

    For fixed-length unicode character data up to 4,000 characters."""

    def __init__(self, length=None, collation=None, **kw):
        """Construct an NCHAR.

        :param length: Optional, Maximum data length, in characters.

        :param collation: Optional, a column-level collation for this string
          value. Accepts a Windows Collation Name or a SQL Collation Name.

        """
        _StringType.__init__(self, collation)
        sqltypes.NCHAR.__init__(self, length, **kw)

class IMAGE(sqltypes.LargeBinary):
    __visit_name__ = 'IMAGE'

class BIT(sqltypes.TypeEngine):
    __visit_name__ = 'BIT'


class MONEY(sqltypes.TypeEngine):
    __visit_name__ = 'MONEY'

class SMALLMONEY(sqltypes.TypeEngine):
    __visit_name__ = 'SMALLMONEY'

class UNIQUEIDENTIFIER(sqltypes.TypeEngine):
    __visit_name__ = "UNIQUEIDENTIFIER"

class SQL_VARIANT(sqltypes.TypeEngine):
    __visit_name__ = 'SQL_VARIANT'

# old names.
MSDateTime = _MSDateTime
MSDate = _MSDate
MSReal = REAL
MSTinyInteger = TINYINT
MSTime = TIME
MSSmallDateTime = SMALLDATETIME
MSDateTime2 = DATETIME2
MSDateTimeOffset = DATETIMEOFFSET
MSText = TEXT
MSNText = NTEXT
MSString = VARCHAR
MSNVarchar = NVARCHAR
MSChar = CHAR
MSNChar = NCHAR
MSBinary = BINARY
MSVarBinary = VARBINARY
MSImage = IMAGE
MSBit = BIT
MSMoney = MONEY
MSSmallMoney = SMALLMONEY
MSUniqueIdentifier = UNIQUEIDENTIFIER
MSVariant = SQL_VARIANT

ischema_names = {
    'int' : INTEGER,
    'bigint': BIGINT,
    'smallint' : SMALLINT,
    'tinyint' : TINYINT,
    'varchar' : VARCHAR,
    'nvarchar' : NVARCHAR,
    'char' : CHAR,
    'nchar' : NCHAR,
    'text' : TEXT,
    'ntext' : NTEXT,
    'decimal' : DECIMAL,
    'numeric' : NUMERIC,
    'float' : FLOAT,
    'datetime' : DATETIME,
    'datetime2' : DATETIME2,
    'datetimeoffset' : DATETIMEOFFSET,
    'date': DATE,
    'time': TIME,
    'smalldatetime' : SMALLDATETIME,
    'binary' : BINARY,
    'varbinary' : VARBINARY,
    'bit': BIT,
    'real' : REAL,
    'image' : IMAGE,
    'timestamp': TIMESTAMP,
    'money': MONEY,
    'smallmoney': SMALLMONEY,
    'uniqueidentifier': UNIQUEIDENTIFIER,
    'sql_variant': SQL_VARIANT,
}


class MSTypeCompiler(compiler.GenericTypeCompiler):
    def _extend(self, spec, type_, length=None):
        """Extend a string-type declaration with standard SQL
        COLLATE annotations.

        """

        if getattr(type_, 'collation', None):
            collation = 'COLLATE %s' % type_.collation
        else:
            collation = None

        if not length:
            length = type_.length

        if length:
            spec = spec + "(%s)" % length

        return ' '.join([c for c in (spec, collation)
            if c is not None])

    def visit_FLOAT(self, type_):
        precision = getattr(type_, 'precision', None)
        if precision is None:
            return "FLOAT"
        else:
            return "FLOAT(%(precision)s)" % {'precision': precision}

    def visit_TINYINT(self, type_):
        return "TINYINT"

    def visit_DATETIMEOFFSET(self, type_):
        if type_.precision:
            return "DATETIMEOFFSET(%s)" % type_.precision
        else:
            return "DATETIMEOFFSET"

    def visit_TIME(self, type_):
        precision = getattr(type_, 'precision', None)
        if precision:
            return "TIME(%s)" % precision
        else:
            return "TIME"

    def visit_DATETIME2(self, type_):
        precision = getattr(type_, 'precision', None)
        if precision:
            return "DATETIME2(%s)" % precision
        else:
            return "DATETIME2"

    def visit_SMALLDATETIME(self, type_):
        return "SMALLDATETIME"

    def visit_unicode(self, type_):
        return self.visit_NVARCHAR(type_)

    def visit_unicode_text(self, type_):
        return self.visit_NTEXT(type_)

    def visit_NTEXT(self, type_):
        return self._extend("NTEXT", type_)

    def visit_TEXT(self, type_):
        return self._extend("TEXT", type_)

    def visit_VARCHAR(self, type_):
        return self._extend("VARCHAR", type_, 
                    length = type_.length or 'max')

    def visit_CHAR(self, type_):
        return self._extend("CHAR", type_)

    def visit_NCHAR(self, type_):
        return self._extend("NCHAR", type_)

    def visit_NVARCHAR(self, type_):
        return self._extend("NVARCHAR", type_, 
                    length = type_.length or 'max')

    def visit_date(self, type_):
        if self.dialect.server_version_info < MS_2008_VERSION:
            return self.visit_DATETIME(type_)
        else:
            return self.visit_DATE(type_)

    def visit_time(self, type_):
        if self.dialect.server_version_info < MS_2008_VERSION:
            return self.visit_DATETIME(type_)
        else:
            return self.visit_TIME(type_)

    def visit_large_binary(self, type_):
        return self.visit_IMAGE(type_)

    def visit_IMAGE(self, type_):
        return "IMAGE"

    def visit_VARBINARY(self, type_):
        return self._extend(
                        "VARBINARY", 
                        type_, 
                        length=type_.length or 'max')

    def visit_boolean(self, type_):
        return self.visit_BIT(type_)

    def visit_BIT(self, type_):
        return "BIT"

    def visit_MONEY(self, type_):
        return "MONEY"

    def visit_SMALLMONEY(self, type_):
        return 'SMALLMONEY'

    def visit_UNIQUEIDENTIFIER(self, type_):
        return "UNIQUEIDENTIFIER"

    def visit_SQL_VARIANT(self, type_):
        return 'SQL_VARIANT'

class MSExecutionContext(default.DefaultExecutionContext):
    _enable_identity_insert = False
    _select_lastrowid = False
    _result_proxy = None
    _lastrowid = None

    def pre_exec(self):
        """Activate IDENTITY_INSERT if needed."""

        if self.isinsert:
            tbl = self.compiled.statement.table
            seq_column = tbl._autoincrement_column
            insert_has_sequence = seq_column is not None

            if insert_has_sequence:
                self._enable_identity_insert = \
                        seq_column.key in self.compiled_parameters[0]
            else:
                self._enable_identity_insert = False

            self._select_lastrowid = insert_has_sequence and \
                                        not self.compiled.returning and \
                                        not self._enable_identity_insert and \
                                        not self.executemany

            if self._enable_identity_insert:
                self.cursor.execute("SET IDENTITY_INSERT %s ON" % 
                    self.dialect.identifier_preparer.format_table(tbl))

    def post_exec(self):
        """Disable IDENTITY_INSERT if enabled."""

        if self._select_lastrowid:
            if self.dialect.use_scope_identity:
                self.cursor.execute(
                "SELECT scope_identity() AS lastrowid", ())
            else:
                self.cursor.execute("SELECT @@identity AS lastrowid", ())
            # fetchall() ensures the cursor is consumed without closing it
            row = self.cursor.fetchall()[0]
            self._lastrowid = int(row[0])

        if (self.isinsert or self.isupdate or self.isdelete) and \
                self.compiled.returning:
            self._result_proxy = base.FullyBufferedResultProxy(self)

        if self._enable_identity_insert:
            self.cursor.execute(
                        "SET IDENTITY_INSERT %s OFF" %
                            self.dialect.identifier_preparer.
                                format_table(self.compiled.statement.table)
                        )

    def get_lastrowid(self):
        return self._lastrowid

    def handle_dbapi_exception(self, e):
        if self._enable_identity_insert:
            try:
                self.cursor.execute(
                        "SET IDENTITY_INSERT %s OFF" % 
                            self.dialect.identifier_preparer.\
                            format_table(self.compiled.statement.table)
                        )
            except:
                pass

    def get_result_proxy(self):
        if self._result_proxy:
            return self._result_proxy
        else:
            return base.ResultProxy(self)

class MSSQLCompiler(compiler.SQLCompiler):
    returning_precedes_values = True

    extract_map = util.update_copy(
        compiler.SQLCompiler.extract_map,
        {
        'doy': 'dayofyear',
        'dow': 'weekday',
        'milliseconds': 'millisecond',
        'microseconds': 'microsecond'
    })

    def __init__(self, *args, **kwargs):
        self.tablealiases = {}
        super(MSSQLCompiler, self).__init__(*args, **kwargs)

    def visit_now_func(self, fn, **kw):
        return "CURRENT_TIMESTAMP"

    def visit_current_date_func(self, fn, **kw):
        return "GETDATE()"

    def visit_length_func(self, fn, **kw):
        return "LEN%s" % self.function_argspec(fn, **kw)

    def visit_char_length_func(self, fn, **kw):
        return "LEN%s" % self.function_argspec(fn, **kw)

    def visit_concat_op(self, binary, **kw):
        return "%s + %s" % \
                (self.process(binary.left, **kw), 
                self.process(binary.right, **kw))

    def visit_match_op(self, binary, **kw):
        return "CONTAINS (%s, %s)" % (
                                        self.process(binary.left, **kw), 
                                        self.process(binary.right, **kw))

    def get_select_precolumns(self, select):
        """ MS-SQL puts TOP, it's version of LIMIT here """
        if select._distinct or select._limit:
            s = select._distinct and "DISTINCT " or ""

            # ODBC drivers and possibly others
            # don't support bind params in the SELECT clause on SQL Server.
            # so have to use literal here.
            if select._limit:
                if not select._offset:
                    s += "TOP %d " % select._limit
            return s
        return compiler.SQLCompiler.get_select_precolumns(self, select)

    def limit_clause(self, select):
        # Limit in mssql is after the select keyword
        return ""

    def visit_select(self, select, **kwargs):
        """Look for ``LIMIT`` and OFFSET in a select statement, and if
        so tries to wrap it in a subquery with ``row_number()`` criterion.

        """
        if not getattr(select, '_mssql_visit', None) and select._offset:
            # to use ROW_NUMBER(), an ORDER BY is required.
            orderby = self.process(select._order_by_clause)
            if not orderby:
                raise exc.InvalidRequestError('MSSQL requires an order_by when '
                                              'using an offset.')

            _offset = select._offset
            _limit = select._limit
            select._mssql_visit = True
            select = select.column(
                sql.literal_column("ROW_NUMBER() OVER (ORDER BY %s)" \
                % orderby).label("mssql_rn")
                                   ).order_by(None).alias()

            mssql_rn = sql.column('mssql_rn')
            limitselect = sql.select([c for c in select.c if
                                        c.key!='mssql_rn'])
            limitselect.append_whereclause(mssql_rn> _offset)
            if _limit is not None:
                limitselect.append_whereclause(mssql_rn<=(_limit + _offset))
            return self.process(limitselect, iswrapper=True, **kwargs)
        else:
            return compiler.SQLCompiler.visit_select(self, select, **kwargs)

    def _schema_aliased_table(self, table):
        if getattr(table, 'schema', None) is not None:
            if table not in self.tablealiases:
                self.tablealiases[table] = table.alias()
            return self.tablealiases[table]
        else:
            return None

    def visit_table(self, table, mssql_aliased=False, **kwargs):
        if mssql_aliased is table:
            return super(MSSQLCompiler, self).visit_table(table, **kwargs)

        # alias schema-qualified tables
        alias = self._schema_aliased_table(table)
        if alias is not None:
            return self.process(alias, mssql_aliased=table, **kwargs)
        else:
            return super(MSSQLCompiler, self).visit_table(table, **kwargs)

    def visit_alias(self, alias, **kwargs):
        # translate for schema-qualified table aliases
        kwargs['mssql_aliased'] = alias.original
        return super(MSSQLCompiler, self).visit_alias(alias, **kwargs)

    def visit_extract(self, extract, **kw):
        field = self.extract_map.get(extract.field, extract.field)
        return 'DATEPART("%s", %s)' % \
                        (field, self.process(extract.expr, **kw))

    def visit_rollback_to_savepoint(self, savepoint_stmt):
        return ("ROLLBACK TRANSACTION %s" 
                % self.preparer.format_savepoint(savepoint_stmt))

    def visit_column(self, column, result_map=None, **kwargs):
        if column.table is not None and \
            (not self.isupdate and not self.isdelete) or self.is_subquery():
            # translate for schema-qualified table aliases
            t = self._schema_aliased_table(column.table)
            if t is not None:
                converted = expression._corresponding_column_or_error(
                                        t, column)

                if result_map is not None:
                    result_map[column.name.lower()] = \
                                    (column.name, (column, ), 
                                                    column.type)

                return super(MSSQLCompiler, self).\
                                visit_column(converted, 
                                            result_map=None, **kwargs)

        return super(MSSQLCompiler, self).visit_column(column, 
                                                       result_map=result_map, 
                                                       **kwargs)

    def visit_binary(self, binary, **kwargs):
        """Move bind parameters to the right-hand side of an operator, where
        possible.

        """
        if (
            isinstance(binary.left, expression._BindParamClause) 
            and binary.operator == operator.eq
            and not isinstance(binary.right, expression._BindParamClause)
            ):
            return self.process(
                                expression._BinaryExpression(binary.right, 
                                                             binary.left, 
                                                             binary.operator), 
                                **kwargs)
        else:
            if (
                (binary.operator is operator.eq or 
                binary.operator is operator.ne) 
                and (
                    (isinstance(binary.left, expression._FromGrouping) 
                     and isinstance(binary.left.element, 
                                    expression._ScalarSelect)) 
                    or (isinstance(binary.right, expression._FromGrouping) 
                        and isinstance(binary.right.element, 
                                       expression._ScalarSelect)) 
                    or isinstance(binary.left, expression._ScalarSelect) 
                    or isinstance(binary.right, expression._ScalarSelect)
                    )
               ):
                op = binary.operator == operator.eq and "IN" or "NOT IN"
                return self.process(
                        expression._BinaryExpression(binary.left,
                                                     binary.right, op),
                                    **kwargs)
            return super(MSSQLCompiler, self).visit_binary(binary, **kwargs)

    def returning_clause(self, stmt, returning_cols):

        if self.isinsert or self.isupdate:
            target = stmt.table.alias("inserted")
        else:
            target = stmt.table.alias("deleted")

        adapter = sql_util.ClauseAdapter(target)
        def col_label(col):
            adapted = adapter.traverse(col)
            if isinstance(col, expression._Label):
                return adapted.label(c.key)
            else:
                return self.label_select_column(None, adapted, asfrom=False)

        columns = [
            self.process(
                col_label(c), 
                within_columns_clause=True, 
                result_map=self.result_map
            ) 
            for c in expression._select_iterables(returning_cols)
        ]
        return 'OUTPUT ' + ', '.join(columns)

    def label_select_column(self, select, column, asfrom):
        if isinstance(column, expression.Function):
            return column.label(None)
        else:
            return super(MSSQLCompiler, self).\
                            label_select_column(select, column, asfrom)

    def for_update_clause(self, select):
        # "FOR UPDATE" is only allowed on "DECLARE CURSOR" which 
        # SQLAlchemy doesn't use
        return ''

    def order_by_clause(self, select, **kw):
        order_by = self.process(select._order_by_clause, **kw)

        # MSSQL only allows ORDER BY in subqueries if there is a LIMIT
        if order_by and (not self.is_subquery() or select._limit):
            return " ORDER BY " + order_by
        else:
            return ""

class MSSQLStrictCompiler(MSSQLCompiler):
    """A subclass of MSSQLCompiler which disables the usage of bind
    parameters where not allowed natively by MS-SQL.

    A dialect may use this compiler on a platform where native
    binds are used.

    """
    ansi_bind_rules = True

    def visit_in_op(self, binary, **kw):
        kw['literal_binds'] = True
        return "%s IN %s" % (
                                self.process(binary.left, **kw), 
                                self.process(binary.right, **kw)
            )

    def visit_notin_op(self, binary, **kw):
        kw['literal_binds'] = True
        return "%s NOT IN %s" % (
                                self.process(binary.left, **kw), 
                                self.process(binary.right, **kw)
            )

    def visit_function(self, func, **kw):
        kw['literal_binds'] = True
        return super(MSSQLStrictCompiler, self).visit_function(func, **kw)

    def render_literal_value(self, value, type_):
        """
        For date and datetime values, convert to a string
        format acceptable to MSSQL. That seems to be the
        so-called ODBC canonical date format which looks
        like this:

            yyyy-mm-dd hh:mi:ss.mmm(24h)

        For other data types, call the base class implementation.
        """
        # datetime and date are both subclasses of datetime.date
        if issubclass(type(value), datetime.date):
            # SQL Server wants single quotes around the date string.
            return "'" + str(value) + "'"
        else:
            return super(MSSQLStrictCompiler, self).\
                                render_literal_value(value, type_)

class MSDDLCompiler(compiler.DDLCompiler):
    def get_column_specification(self, column, **kwargs):
        colspec = (self.preparer.format_column(column) + " " 
                   + self.dialect.type_compiler.process(column.type))

        if column.nullable is not None:
            if not column.nullable or column.primary_key:
                colspec += " NOT NULL"
            else:
                colspec += " NULL"

        if column.table is None:
            raise exc.InvalidRequestError(
                            "mssql requires Table-bound columns " 
                            "in order to generate DDL")

        seq_col = column.table._autoincrement_column

        # install a IDENTITY Sequence if we have an implicit IDENTITY column
        if seq_col is column:
            sequence = isinstance(column.default, sa_schema.Sequence) and \
                            column.default
            if sequence:
                start, increment = sequence.start or 1, \
                                    sequence.increment or 1
            else:
                start, increment = 1, 1
            colspec += " IDENTITY(%s,%s)" % (start, increment)
        else:
            default = self.get_column_default_string(column)
            if default is not None:
                colspec += " DEFAULT " + default

        return colspec

    def visit_drop_index(self, drop):
        return "\nDROP INDEX %s.%s" % (
            self.preparer.quote_identifier(drop.element.table.name),
            self.preparer.quote(
                        self._index_identifier(drop.element.name),
                        drop.element.quote)
            )


class MSIdentifierPreparer(compiler.IdentifierPreparer):
    reserved_words = RESERVED_WORDS

    def __init__(self, dialect):
        super(MSIdentifierPreparer, self).__init__(dialect, initial_quote='[', 
                                                   final_quote=']')

    def _escape_identifier(self, value):
        return value

    def quote_schema(self, schema, force=True):
        """Prepare a quoted table and schema name."""
        result = '.'.join([self.quote(x, force) for x in schema.split('.')])
        return result

class MSDialect(default.DefaultDialect):
    name = 'mssql'
    supports_default_values = True
    supports_empty_insert = False
    execution_ctx_cls = MSExecutionContext
    use_scope_identity = True
    max_identifier_length = 128
    schema_name = "dbo"

    colspecs = {
        sqltypes.DateTime : _MSDateTime,
        sqltypes.Date : _MSDate,
        sqltypes.Time : TIME,
    }

    ischema_names = ischema_names

    supports_native_boolean = False
    supports_unicode_binds = True
    postfetch_lastrowid = True

    server_version_info = ()

    statement_compiler = MSSQLCompiler
    ddl_compiler = MSDDLCompiler
    type_compiler = MSTypeCompiler
    preparer = MSIdentifierPreparer

    def __init__(self,
                 query_timeout=None,
                 use_scope_identity=True,
                 max_identifier_length=None,
                 schema_name=u"dbo", **opts):
        self.query_timeout = int(query_timeout or 0)
        self.schema_name = schema_name

        self.use_scope_identity = use_scope_identity
        self.max_identifier_length = int(max_identifier_length or 0) or \
                self.max_identifier_length
        super(MSDialect, self).__init__(**opts)

    def do_savepoint(self, connection, name):
        util.warn("Savepoint support in mssql is experimental and "
                  "may lead to data loss.")
        connection.execute("IF @@TRANCOUNT = 0 BEGIN TRANSACTION")
        connection.execute("SAVE TRANSACTION %s" % name)

    def do_release_savepoint(self, connection, name):
        pass

    def initialize(self, connection):
        super(MSDialect, self).initialize(connection)
        if self.server_version_info[0] not in range(8, 17):
            # FreeTDS with version 4.2 seems to report here
            # a number like "95.10.255".  Don't know what 
            # that is.  So emit warning.
            util.warn(
                "Unrecognized server version info '%s'.   Version specific "
                "behaviors may not function properly.   If using ODBC "
                "with FreeTDS, ensure server version 7.0 or 8.0, not 4.2, "
                "is configured in the FreeTDS configuration." %
                ".".join(str(x) for x in self.server_version_info) )
        if self.server_version_info >= MS_2005_VERSION and \
                    'implicit_returning' not in self.__dict__:
            self.implicit_returning = True

    def _get_default_schema_name(self, connection):
        user_name = connection.scalar("SELECT user_name() as user_name;")
        if user_name is not None:
            # now, get the default schema
            query = sql.text("""
            SELECT default_schema_name FROM
            sys.database_principals
            WHERE name = :name
            AND type = 'S'
            """)
            try:
                default_schema_name = connection.scalar(query, name=user_name)
                if default_schema_name is not None:
                    return unicode(default_schema_name)
            except:
                pass
        return self.schema_name


    def has_table(self, connection, tablename, schema=None):
        current_schema = schema or self.default_schema_name
        columns = ischema.columns
        if current_schema:
            whereclause = sql.and_(columns.c.table_name==tablename,
                                   columns.c.table_schema==current_schema)
        else:
            whereclause = columns.c.table_name==tablename
        s = sql.select([columns], whereclause)
        c = connection.execute(s)
        return c.first() is not None

    @reflection.cache
    def get_schema_names(self, connection, **kw):
        s = sql.select([ischema.schemata.c.schema_name],
            order_by=[ischema.schemata.c.schema_name]
        )
        schema_names = [r[0] for r in connection.execute(s)]
        return schema_names

    @reflection.cache
    def get_table_names(self, connection, schema=None, **kw):
        current_schema = schema or self.default_schema_name
        tables = ischema.tables
        s = sql.select([tables.c.table_name],
            sql.and_(
                tables.c.table_schema == current_schema,
                tables.c.table_type == u'BASE TABLE'
            ),
            order_by=[tables.c.table_name]
        )
        table_names = [r[0] for r in connection.execute(s)]
        return table_names

    @reflection.cache
    def get_view_names(self, connection, schema=None, **kw):
        current_schema = schema or self.default_schema_name
        tables = ischema.tables
        s = sql.select([tables.c.table_name],
            sql.and_(
                tables.c.table_schema == current_schema,
                tables.c.table_type == u'VIEW'
            ),
            order_by=[tables.c.table_name]
        )
        view_names = [r[0] for r in connection.execute(s)]
        return view_names

    @reflection.cache
    def get_indexes(self, connection, tablename, schema=None, **kw):
        # using system catalogs, don't support index reflection
        # below MS 2005
        if self.server_version_info < MS_2005_VERSION:
            return []

        current_schema = schema or self.default_schema_name
        full_tname = "%s.%s" % (current_schema, tablename)

        rp = connection.execute(
            sql.text("select ind.index_id, ind.is_unique, ind.name "
                "from sys.indexes as ind join sys.tables as tab on "
                "ind.object_id=tab.object_id "
                "join sys.schemas as sch on sch.schema_id=tab.schema_id "
                "where tab.name = :tabname "
                "and sch.name=:schname "
                "and ind.is_primary_key=0", 
                bindparams=[
                    sql.bindparam('tabname', tablename, 
                                    sqltypes.String(convert_unicode=True)),
                    sql.bindparam('schname', current_schema, 
                                    sqltypes.String(convert_unicode=True))
                ]
            )
        )
        indexes = {}
        for row in rp:
            indexes[row['index_id']] = {
                'name':row['name'],
                'unique':row['is_unique'] == 1,
                'column_names':[]
            }
        rp = connection.execute(
            sql.text(
                "select ind_col.index_id, ind_col.object_id, col.name "
                "from sys.columns as col "
                "join sys.tables as tab on tab.object_id=col.object_id "
                "join sys.index_columns as ind_col on "
                "(ind_col.column_id=col.column_id and "
                "ind_col.object_id=tab.object_id) "
                "join sys.schemas as sch on sch.schema_id=tab.schema_id "
                "where tab.name=:tabname "
                "and sch.name=:schname",
                        bindparams=[
                            sql.bindparam('tabname', tablename, 
                                    sqltypes.String(convert_unicode=True)),
                            sql.bindparam('schname', current_schema, 
                                    sqltypes.String(convert_unicode=True))
                        ]),
            )
        for row in rp:
            if row['index_id'] in indexes:
                indexes[row['index_id']]['column_names'].append(row['name'])

        return indexes.values()

    @reflection.cache
    def get_view_definition(self, connection, viewname, schema=None, **kw):
        current_schema = schema or self.default_schema_name

        rp = connection.execute(
            sql.text(
                "select definition from sys.sql_modules as mod, "
                "sys.views as views, "
                "sys.schemas as sch"
                " where "
                "mod.object_id=views.object_id and "
                "views.schema_id=sch.schema_id and "
                "views.name=:viewname and sch.name=:schname",
                bindparams=[
                    sql.bindparam('viewname', viewname, 
                            sqltypes.String(convert_unicode=True)),
                    sql.bindparam('schname', current_schema, 
                            sqltypes.String(convert_unicode=True))
                ]
            )
        )

        if rp:
            view_def = rp.scalar()
            return view_def

    @reflection.cache
    def get_columns(self, connection, tablename, schema=None, **kw):
        # Get base columns
        current_schema = schema or self.default_schema_name
        columns = ischema.columns
        if current_schema:
            whereclause = sql.and_(columns.c.table_name==tablename,
                                   columns.c.table_schema==current_schema)
        else:
            whereclause = columns.c.table_name==tablename
        s = sql.select([columns], whereclause,
                        order_by=[columns.c.ordinal_position])
        c = connection.execute(s)
        cols = []
        while True:
            row = c.fetchone()
            if row is None:
                break
            (name, type, nullable, charlen, 
                numericprec, numericscale, default, collation) = (
                row[columns.c.column_name],
                row[columns.c.data_type],
                row[columns.c.is_nullable] == 'YES',
                row[columns.c.character_maximum_length],
                row[columns.c.numeric_precision],
                row[columns.c.numeric_scale],
                row[columns.c.column_default],
                row[columns.c.collation_name]
            )
            coltype = self.ischema_names.get(type, None)

            kwargs = {}
            if coltype in (MSString, MSChar, MSNVarchar, MSNChar, MSText, 
                           MSNText, MSBinary, MSVarBinary,
                           sqltypes.LargeBinary):
                kwargs['length'] = charlen
                if collation:
                    kwargs['collation'] = collation
                if coltype == MSText or \
                        (coltype in (MSString, MSNVarchar) and charlen == -1):
                    kwargs.pop('length')

            if coltype is None:
                util.warn(
                    "Did not recognize type '%s' of column '%s'" % 
                    (type, name))
                coltype = sqltypes.NULLTYPE
            else:
                if issubclass(coltype, sqltypes.Numeric) and \
                        coltype is not MSReal:
                    kwargs['scale'] = numericscale
                    kwargs['precision'] = numericprec

                coltype = coltype(**kwargs)
            cdict = {
                'name' : name,
                'type' : coltype,
                'nullable' : nullable,
                'default' : default,
                'autoincrement':False,
            }
            cols.append(cdict)
        # autoincrement and identity
        colmap = {}
        for col in cols:
            colmap[col['name']] = col
        # We also run an sp_columns to check for identity columns:
        cursor = connection.execute("sp_columns @table_name = '%s', "
                                    "@table_owner = '%s'" 
                                    % (tablename, current_schema))
        ic = None
        while True:
            row = cursor.fetchone()
            if row is None:
                break
            (col_name, type_name) = row[3], row[5]
            if type_name.endswith("identity") and col_name in colmap:
                ic = col_name
                colmap[col_name]['autoincrement'] = True
                colmap[col_name]['sequence'] = dict(
                                    name='%s_identity' % col_name)
                break
        cursor.close()

        if ic is not None and self.server_version_info >= MS_2005_VERSION:
            table_fullname = "%s.%s" % (current_schema, tablename)
            cursor = connection.execute(
                "select ident_seed('%s'), ident_incr('%s')" 
                % (table_fullname, table_fullname)
                )

            row = cursor.first()
            if row is not None and row[0] is not None:
                colmap[ic]['sequence'].update({
                    'start' : int(row[0]),
                    'increment' : int(row[1])
                })
        return cols

    @reflection.cache
    def get_primary_keys(self, connection, tablename, schema=None, **kw):
        current_schema = schema or self.default_schema_name
        pkeys = []
        # information_schema.referential_constraints
        RR = ischema.ref_constraints
        # information_schema.table_constraints
        TC = ischema.constraints
        # information_schema.constraint_column_usage: 
        # the constrained column
        C  = ischema.key_constraints.alias('C') 
        # information_schema.constraint_column_usage: 
        # the referenced column
        R  = ischema.key_constraints.alias('R') 

        # Primary key constraints
        s = sql.select([C.c.column_name, TC.c.constraint_type],
            sql.and_(TC.c.constraint_name == C.c.constraint_name,
                     C.c.table_name == tablename,
                     C.c.table_schema == current_schema)
        )
        c = connection.execute(s)
        for row in c:
            if 'PRIMARY' in row[TC.c.constraint_type.name]:
                pkeys.append(row[0])
        return pkeys

    @reflection.cache
    def get_foreign_keys(self, connection, tablename, schema=None, **kw):
        current_schema = schema or self.default_schema_name
        # Add constraints
        #information_schema.referential_constraints
        RR = ischema.ref_constraints
        # information_schema.table_constraints
        TC = ischema.constraints
        # information_schema.constraint_column_usage: 
        # the constrained column
        C  = ischema.key_constraints.alias('C') 
        # information_schema.constraint_column_usage: 
        # the referenced column
        R  = ischema.key_constraints.alias('R') 

        # Foreign key constraints
        s = sql.select([C.c.column_name,
                        R.c.table_schema, R.c.table_name, R.c.column_name,
                        RR.c.constraint_name, RR.c.match_option,
                        RR.c.update_rule,
                        RR.c.delete_rule],
                       sql.and_(C.c.table_name == tablename,
                                C.c.table_schema == current_schema,
                                C.c.constraint_name == RR.c.constraint_name,
                                R.c.constraint_name ==
                                                RR.c.unique_constraint_name,
                                C.c.ordinal_position == R.c.ordinal_position
                                ),
                       order_by = [
                                    RR.c.constraint_name,
                                    R.c.ordinal_position])


        # group rows by constraint ID, to handle multi-column FKs
        fkeys = []
        fknm, scols, rcols = (None, [], [])

        def fkey_rec():
            return {
                'name' : None,
                'constrained_columns' : [],
                'referred_schema' : None,
                'referred_table' : None,
                'referred_columns' : []
            }

        fkeys = util.defaultdict(fkey_rec)

        for r in connection.execute(s).fetchall():
            scol, rschema, rtbl, rcol, rfknm, fkmatch, fkuprule, fkdelrule = r

            rec = fkeys[rfknm]
            rec['name'] = rfknm
            if not rec['referred_table']:
                rec['referred_table'] = rtbl

                if schema is not None or current_schema != rschema:
                    rec['referred_schema'] = rschema

            local_cols, remote_cols = \
                                        rec['constrained_columns'],\
                                        rec['referred_columns']

            local_cols.append(scol)
            remote_cols.append(rcol)

        return fkeys.values()