morro

sqlalchemy/dialects/mssql/__init__.py

@@ -0,0 +1,19 @@
+from sqlalchemy.dialects.mssql import base, pyodbc, adodbapi, pymssql, zxjdbc, mxodbc
+
+base.dialect = pyodbc.dialect
+
+from sqlalchemy.dialects.mssql.base import \
+    INTEGER, BIGINT, SMALLINT, TINYINT, VARCHAR, NVARCHAR, CHAR, \
+    NCHAR, TEXT, NTEXT, DECIMAL, NUMERIC, FLOAT, DATETIME,\
+    DATETIME2, DATETIMEOFFSET, DATE, TIME, SMALLDATETIME, \
+    BINARY, VARBINARY, BIT, REAL, IMAGE, TIMESTAMP,\
+    MONEY, SMALLMONEY, UNIQUEIDENTIFIER, SQL_VARIANT, dialect
+
+
+__all__ = (
+    'INTEGER', 'BIGINT', 'SMALLINT', 'TINYINT', 'VARCHAR', 'NVARCHAR', 'CHAR', 
+    'NCHAR', 'TEXT', 'NTEXT', 'DECIMAL', 'NUMERIC', 'FLOAT', 'DATETIME',
+    'DATETIME2', 'DATETIMEOFFSET', 'DATE', 'TIME', 'SMALLDATETIME', 
+    'BINARY', 'VARBINARY', 'BIT', 'REAL', 'IMAGE', 'TIMESTAMP',
+    'MONEY', 'SMALLMONEY', 'UNIQUEIDENTIFIER', 'SQL_VARIANT', 'dialect'
+)

sqlalchemy/dialects/mssql/adodbapi.py

@@ -0,0 +1,59 @@
+"""
+The adodbapi dialect is not implemented for 0.6 at this time.
+
+"""
+from sqlalchemy import types as sqltypes, util
+from sqlalchemy.dialects.mssql.base import MSDateTime, MSDialect
+import sys
+
+class MSDateTime_adodbapi(MSDateTime):
+    def result_processor(self, dialect, coltype):
+        def process(value):
+            # adodbapi will return datetimes with empty time values as datetime.date() objects.
+            # Promote them back to full datetime.datetime()
+            if type(value) is datetime.date:
+                return datetime.datetime(value.year, value.month, value.day)
+            return value
+        return process
+
+
+class MSDialect_adodbapi(MSDialect):
+    supports_sane_rowcount = True
+    supports_sane_multi_rowcount = True
+    supports_unicode = sys.maxunicode == 65535
+    supports_unicode_statements = True
+    driver = 'adodbapi'
+    
+    @classmethod
+    def import_dbapi(cls):
+        import adodbapi as module
+        return module
+
+    colspecs = util.update_copy(
+        MSDialect.colspecs,
+        {
+            sqltypes.DateTime:MSDateTime_adodbapi
+        }
+    )
+
+    def create_connect_args(self, url):
+        keys = url.query
+
+        connectors = ["Provider=SQLOLEDB"]
+        if 'port' in keys:
+            connectors.append ("Data Source=%s, %s" % (keys.get("host"), keys.get("port")))
+        else:
+            connectors.append ("Data Source=%s" % keys.get("host"))
+        connectors.append ("Initial Catalog=%s" % keys.get("database"))
+        user = keys.get("user")
+        if user:
+            connectors.append("User Id=%s" % user)
+            connectors.append("Password=%s" % keys.get("password", ""))
+        else:
+            connectors.append("Integrated Security=SSPI")
+        return [[";".join (connectors)], {}]
+
+    def is_disconnect(self, e):
+        return isinstance(e, self.dbapi.adodbapi.DatabaseError) and "'connection failure'" in str(e)
+
+dialect = MSDialect_adodbapi

sqlalchemy/dialects/mssql/information_schema.py

@@ -0,0 +1,83 @@
+from sqlalchemy import Table, MetaData, Column, ForeignKey
+from sqlalchemy.types import String, Unicode, Integer, TypeDecorator
+
+ischema = MetaData()
+
+class CoerceUnicode(TypeDecorator):
+    impl = Unicode
+    
+    def process_bind_param(self, value, dialect):
+        if isinstance(value, str):
+            value = value.decode(dialect.encoding)
+        return value
+    
+schemata = Table("SCHEMATA", ischema,
+    Column("CATALOG_NAME", CoerceUnicode, key="catalog_name"),
+    Column("SCHEMA_NAME", CoerceUnicode, key="schema_name"),
+    Column("SCHEMA_OWNER", CoerceUnicode, key="schema_owner"),
+    schema="INFORMATION_SCHEMA")
+
+tables = Table("TABLES", ischema,
+    Column("TABLE_CATALOG", CoerceUnicode, key="table_catalog"),
+    Column("TABLE_SCHEMA", CoerceUnicode, key="table_schema"),
+    Column("TABLE_NAME", CoerceUnicode, key="table_name"),
+    Column("TABLE_TYPE", String(convert_unicode=True), key="table_type"),
+    schema="INFORMATION_SCHEMA")
+
+columns = Table("COLUMNS", ischema,
+    Column("TABLE_SCHEMA", CoerceUnicode, key="table_schema"),
+    Column("TABLE_NAME", CoerceUnicode, key="table_name"),
+    Column("COLUMN_NAME", CoerceUnicode, key="column_name"),
+    Column("IS_NULLABLE", Integer, key="is_nullable"),
+    Column("DATA_TYPE", String, key="data_type"),
+    Column("ORDINAL_POSITION", Integer, key="ordinal_position"),
+    Column("CHARACTER_MAXIMUM_LENGTH", Integer, key="character_maximum_length"),
+    Column("NUMERIC_PRECISION", Integer, key="numeric_precision"),
+    Column("NUMERIC_SCALE", Integer, key="numeric_scale"),
+    Column("COLUMN_DEFAULT", Integer, key="column_default"),
+    Column("COLLATION_NAME", String, key="collation_name"),
+    schema="INFORMATION_SCHEMA")
+
+constraints = Table("TABLE_CONSTRAINTS", ischema,
+    Column("TABLE_SCHEMA", CoerceUnicode, key="table_schema"),
+    Column("TABLE_NAME", CoerceUnicode, key="table_name"),
+    Column("CONSTRAINT_NAME", CoerceUnicode, key="constraint_name"),
+    Column("CONSTRAINT_TYPE", String(convert_unicode=True), key="constraint_type"),
+    schema="INFORMATION_SCHEMA")
+
+column_constraints = Table("CONSTRAINT_COLUMN_USAGE", ischema,
+    Column("TABLE_SCHEMA", CoerceUnicode, key="table_schema"),
+    Column("TABLE_NAME", CoerceUnicode, key="table_name"),
+    Column("COLUMN_NAME", CoerceUnicode, key="column_name"),
+    Column("CONSTRAINT_NAME", CoerceUnicode, key="constraint_name"),
+    schema="INFORMATION_SCHEMA")
+
+key_constraints = Table("KEY_COLUMN_USAGE", ischema,
+    Column("TABLE_SCHEMA", CoerceUnicode, key="table_schema"),
+    Column("TABLE_NAME", CoerceUnicode, key="table_name"),
+    Column("COLUMN_NAME", CoerceUnicode, key="column_name"),
+    Column("CONSTRAINT_NAME", CoerceUnicode, key="constraint_name"),
+    Column("ORDINAL_POSITION", Integer, key="ordinal_position"),
+    schema="INFORMATION_SCHEMA")
+
+ref_constraints = Table("REFERENTIAL_CONSTRAINTS", ischema,
+    Column("CONSTRAINT_CATALOG", CoerceUnicode, key="constraint_catalog"),
+    Column("CONSTRAINT_SCHEMA", CoerceUnicode, key="constraint_schema"),
+    Column("CONSTRAINT_NAME", CoerceUnicode, key="constraint_name"),
+    Column("UNIQUE_CONSTRAINT_CATLOG", CoerceUnicode, key="unique_constraint_catalog"),  # TODO: is CATLOG misspelled ?
+    Column("UNIQUE_CONSTRAINT_SCHEMA", CoerceUnicode, key="unique_constraint_schema"),
+    Column("UNIQUE_CONSTRAINT_NAME", CoerceUnicode, key="unique_constraint_name"),
+    Column("MATCH_OPTION", String, key="match_option"),
+    Column("UPDATE_RULE", String, key="update_rule"),
+    Column("DELETE_RULE", String, key="delete_rule"),
+    schema="INFORMATION_SCHEMA")
+
+views = Table("VIEWS", ischema,
+    Column("TABLE_CATALOG", CoerceUnicode, key="table_catalog"),
+    Column("TABLE_SCHEMA", CoerceUnicode, key="table_schema"),
+    Column("TABLE_NAME", CoerceUnicode, key="table_name"),
+    Column("VIEW_DEFINITION", CoerceUnicode, key="view_definition"),
+    Column("CHECK_OPTION", String, key="check_option"),
+    Column("IS_UPDATABLE", String, key="is_updatable"),
+    schema="INFORMATION_SCHEMA")
+

sqlalchemy/dialects/mssql/mxodbc.py

@@ -0,0 +1,83 @@
+"""
+Support for MS-SQL via mxODBC.
+
+mxODBC is available at:
+
+    http://www.egenix.com/
+
+This was tested with mxODBC 3.1.2 and the SQL Server Native
+Client connected to MSSQL 2005 and 2008 Express Editions.
+
+Connecting
+~~~~~~~~~~
+
+Connection is via DSN::
+
+    mssql+mxodbc://<username>:<password>@<dsnname>
+    
+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 the native
+parameter binding services of the ODBC driver, while the latter uses string escaping.
+The primary advantage to native parameter binding is that the same statement, when
+executed many times, is only prepared once.   Whereas the primary advantage to the
+latter is that the rules for bind parameter placement are relaxed.   MS-SQL has very 
+strict rules for native binds, 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 completely
+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 
+uncondtionally use string-escaped parameters.
+
+"""
+
+import re
+import sys
+
+from sqlalchemy import types as sqltypes
+from sqlalchemy import util
+from sqlalchemy.connectors.mxodbc import MxODBCConnector
+from sqlalchemy.dialects.mssql.pyodbc import MSExecutionContext_pyodbc
+from sqlalchemy.dialects.mssql.base import (MSExecutionContext, MSDialect, 
+                                            MSSQLCompiler, MSSQLStrictCompiler,
+                                            _MSDateTime, _MSDate, TIME)
+
+
+
+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):
+    
+    # TODO: may want to use this only if FreeTDS is not in use,
+    # since FreeTDS doesn't seem to use native binds.
+    statement_compiler = MSSQLStrictCompiler
+    execution_ctx_cls = MSExecutionContext_mxodbc
+    colspecs = {
+        #sqltypes.Numeric : _MSNumeric,
+        sqltypes.DateTime : _MSDateTime,
+        sqltypes.Date : _MSDate,
+        sqltypes.Time : TIME,
+    }
+
+
+    def __init__(self, description_encoding='latin-1', **params):
+        super(MSDialect_mxodbc, self).__init__(**params)
+        self.description_encoding = description_encoding
+
+dialect = MSDialect_mxodbc
+

sqlalchemy/dialects/mssql/pymssql.py

@@ -0,0 +1,101 @@
+"""
+Support for the pymssql dialect.
+
+This dialect supports pymssql 1.0 and greater.
+
+pymssql is available at:
+
+    http://pymssql.sourceforge.net/
+    
+Connecting
+^^^^^^^^^^
+    
+Sample connect string::
+
+    mssql+pymssql://<username>:<password>@<freetds_name>
+
+Adding "?charset=utf8" or similar will cause pymssql to return
+strings as Python unicode objects.   This can potentially improve 
+performance in some scenarios as decoding of strings is 
+handled natively.
+
+Limitations
+^^^^^^^^^^^
+
+pymssql inherits a lot of limitations from FreeTDS, including:
+
+* no support for multibyte schema identifiers
+* poor support for large decimals
+* poor support for binary fields
+* poor support for VARCHAR/CHAR fields over 255 characters
+
+Please consult the pymssql documentation for further information.
+
+"""
+from sqlalchemy.dialects.mssql.base import MSDialect
+from sqlalchemy import types as sqltypes, util, processors
+import re
+import decimal
+
+class _MSNumeric_pymssql(sqltypes.Numeric):
+    def result_processor(self, dialect, type_):
+        if not self.asdecimal:
+            return processors.to_float
+        else:
+            return sqltypes.Numeric.result_processor(self, dialect, type_)
+
+class MSDialect_pymssql(MSDialect):
+    supports_sane_rowcount = False
+    max_identifier_length = 30
+    driver = 'pymssql'
+    
+    colspecs = util.update_copy(
+        MSDialect.colspecs,
+        {
+            sqltypes.Numeric:_MSNumeric_pymssql,
+            sqltypes.Float:sqltypes.Float,
+        }
+    )
+    @classmethod
+    def dbapi(cls):
+        module = __import__('pymssql')
+        # pymmsql doesn't have a Binary method.  we use string
+        # TODO: monkeypatching here is less than ideal
+        module.Binary = str
+        
+        client_ver = tuple(int(x) for x in module.__version__.split("."))
+        if client_ver < (1, ):
+            util.warn("The pymssql dialect expects at least "
+                            "the 1.0 series of the pymssql DBAPI.")
+        return module
+
+    def __init__(self, **params):
+        super(MSDialect_pymssql, self).__init__(**params)
+        self.use_scope_identity = True
+
+    def _get_server_version_info(self, connection):
+        vers = connection.scalar("select @@version")
+        m = re.match(r"Microsoft SQL Server.*? - (\d+).(\d+).(\d+).(\d+)", vers)
+        if m:
+            return tuple(int(x) for x in m.group(1, 2, 3, 4))
+        else:
+            return None
+
+    def create_connect_args(self, url):
+        opts = url.translate_connect_args(username='user')
+        opts.update(url.query)
+        opts.pop('port', None)
+        return [[], opts]
+
+    def is_disconnect(self, e):
+        for msg in (
+            "Error 10054",
+            "Not connected to any MS SQL server",
+            "Connection is closed"
+        ):
+            if msg in str(e):
+                return True
+        else:
+            return False
+
+dialect = MSDialect_pymssql

sqlalchemy/dialects/mssql/pyodbc.py

@@ -0,0 +1,197 @@
+"""
+Support for MS-SQL via pyodbc.
+
+pyodbc is available at:
+
+    http://pypi.python.org/pypi/pyodbc/
+
+Connecting
+^^^^^^^^^^
+
+Examples of pyodbc connection string URLs:
+
+* ``mssql+pyodbc://mydsn`` - connects using the specified DSN named ``mydsn``.
+  The connection string that is created will appear like::
+
+    dsn=mydsn;Trusted_Connection=Yes
+
+* ``mssql+pyodbc://user:pass@mydsn`` - connects using the DSN named
+  ``mydsn`` passing in the ``UID`` and ``PWD`` information. The
+  connection string that is created will appear like::
+
+    dsn=mydsn;UID=user;PWD=pass
+
+* ``mssql+pyodbc://user:pass@mydsn/?LANGUAGE=us_english`` - connects
+  using the DSN named ``mydsn`` passing in the ``UID`` and ``PWD``
+  information, plus the additional connection configuration option
+  ``LANGUAGE``. The connection string that is created will appear
+  like::
+
+    dsn=mydsn;UID=user;PWD=pass;LANGUAGE=us_english
+
+* ``mssql+pyodbc://user:pass@host/db`` - connects using a connection string
+  dynamically created that would appear like::
+
+    DRIVER={SQL Server};Server=host;Database=db;UID=user;PWD=pass
+
+* ``mssql+pyodbc://user:pass@host:123/db`` - connects using a connection
+  string that is dynamically created, which also includes the port
+  information using the comma syntax. If your connection string
+  requires the port information to be passed as a ``port`` keyword
+  see the next example. This will create the following connection
+  string::
+
+    DRIVER={SQL Server};Server=host,123;Database=db;UID=user;PWD=pass
+
+* ``mssql+pyodbc://user:pass@host/db?port=123`` - connects using a connection
+  string that is dynamically created that includes the port
+  information as a separate ``port`` keyword. This will create the
+  following connection string::
+
+    DRIVER={SQL Server};Server=host;Database=db;UID=user;PWD=pass;port=123
+
+If you require a connection string that is outside the options
+presented above, use the ``odbc_connect`` keyword to pass in a
+urlencoded connection string. What gets passed in will be urldecoded
+and passed directly.
+
+For example::
+
+    mssql+pyodbc:///?odbc_connect=dsn%3Dmydsn%3BDatabase%3Ddb
+
+would create the following connection string::
+
+    dsn=mydsn;Database=db
+
+Encoding your connection string can be easily accomplished through
+the python shell. For example::
+
+    >>> import urllib
+    >>> urllib.quote_plus('dsn=mydsn;Database=db')
+    'dsn%3Dmydsn%3BDatabase%3Ddb'
+
+
+"""
+
+from sqlalchemy.dialects.mssql.base import MSExecutionContext, MSDialect
+from sqlalchemy.connectors.pyodbc import PyODBCConnector
+from sqlalchemy import types as sqltypes, util
+import decimal
+
+class _MSNumeric_pyodbc(sqltypes.Numeric):
+    """Turns Decimals with adjusted() < 0 or > 7 into strings.
+    
+    This is the only method that is proven to work with Pyodbc+MSSQL
+    without crashing (floats can be used but seem to cause sporadic
+    crashes).
+    
+    """
+
+    def bind_processor(self, dialect):
+        super_process = super(_MSNumeric_pyodbc, self).bind_processor(dialect)
+
+        def process(value):
+            if self.asdecimal and \
+                    isinstance(value, decimal.Decimal):
+                
+                adjusted = value.adjusted()
+                if adjusted < 0:
+                    return self._small_dec_to_string(value)
+                elif adjusted > 7:
+                    return self._large_dec_to_string(value)
+
+            if super_process:
+                return super_process(value)
+            else:
+                return value
+        return process
+    
+    def _small_dec_to_string(self, value):
+        return "%s0.%s%s" % (
+                    (value < 0 and '-' or ''),
+                    '0' * (abs(value.adjusted()) - 1),
+                    "".join([str(nint) for nint in value._int]))
+
+    def _large_dec_to_string(self, value):
+        if 'E' in str(value):
+            result = "%s%s%s" % (
+                    (value < 0 and '-' or ''),
+                    "".join([str(s) for s in value._int]),
+                    "0" * (value.adjusted() - (len(value._int)-1)))
+        else:
+            if (len(value._int) - 1) > value.adjusted():
+                result = "%s%s.%s" % (
+                        (value < 0 and '-' or ''),
+                        "".join([str(s) for s in value._int][0:value.adjusted() + 1]),
+                        "".join([str(s) for s in value._int][value.adjusted() + 1:]))
+            else:
+                result = "%s%s" % (
+                        (value < 0 and '-' or ''),
+                        "".join([str(s) for s in value._int][0:value.adjusted() + 1]))
+        return result
+    
+    
+class MSExecutionContext_pyodbc(MSExecutionContext):
+    _embedded_scope_identity = False
+    
+    def pre_exec(self):
+        """where appropriate, issue "select scope_identity()" in the same statement.
+        
+        Background on why "scope_identity()" is preferable to "@@identity":
+        http://msdn.microsoft.com/en-us/library/ms190315.aspx
+        
+        Background on why we attempt to embed "scope_identity()" into the same
+        statement as the INSERT:
+        http://code.google.com/p/pyodbc/wiki/FAQs#How_do_I_retrieve_autogenerated/identity_values?
+        
+        """
+        
+        super(MSExecutionContext_pyodbc, self).pre_exec()
+
+        # don't embed the scope_identity select into an "INSERT .. DEFAULT VALUES"
+        if self._select_lastrowid and \
+                self.dialect.use_scope_identity and \
+                len(self.parameters[0]):
+            self._embedded_scope_identity = True
+            
+            self.statement += "; select scope_identity()"
+
+    def post_exec(self):
+        if self._embedded_scope_identity:
+            # Fetch the last inserted id from the manipulated statement
+            # We may have to skip over a number of result sets with no data (due to triggers, etc.)
+            while True:
+                try:
+                    # fetchall() ensures the cursor is consumed 
+                    # without closing it (FreeTDS particularly)
+                    row = self.cursor.fetchall()[0]  
+                    break
+                except self.dialect.dbapi.Error, e:
+                    # no way around this - nextset() consumes the previous set
+                    # so we need to just keep flipping
+                    self.cursor.nextset()
+                    
+            self._lastrowid = int(row[0])
+        else:
+            super(MSExecutionContext_pyodbc, self).post_exec()
+
+
+class MSDialect_pyodbc(PyODBCConnector, MSDialect):
+
+    execution_ctx_cls = MSExecutionContext_pyodbc
+
+    pyodbc_driver_name = 'SQL Server'
+    
+    colspecs = util.update_copy(
+        MSDialect.colspecs,
+        {
+            sqltypes.Numeric:_MSNumeric_pyodbc
+        }
+    )
+    
+    def __init__(self, description_encoding='latin-1', **params):
+        super(MSDialect_pyodbc, self).__init__(**params)
+        self.description_encoding = description_encoding
+        self.use_scope_identity = self.dbapi and hasattr(self.dbapi.Cursor, 'nextset')
+        
+dialect = MSDialect_pyodbc

sqlalchemy/dialects/mssql/zxjdbc.py

@@ -0,0 +1,64 @@
+"""Support for the Microsoft SQL Server database via the zxjdbc JDBC
+connector.
+
+JDBC Driver
+-----------
+
+Requires the jTDS driver, available from: http://jtds.sourceforge.net/
+
+Connecting
+----------
+
+URLs are of the standard form of
+``mssql+zxjdbc://user:pass@host:port/dbname[?key=value&key=value...]``.
+
+Additional arguments which may be specified either as query string
+arguments on the URL, or as keyword arguments to
+:func:`~sqlalchemy.create_engine()` will be passed as Connection
+properties to the underlying JDBC driver.
+
+"""
+from sqlalchemy.connectors.zxJDBC import ZxJDBCConnector
+from sqlalchemy.dialects.mssql.base import MSDialect, MSExecutionContext
+from sqlalchemy.engine import base
+
+class MSExecutionContext_zxjdbc(MSExecutionContext):
+
+    _embedded_scope_identity = False
+
+    def pre_exec(self):
+        super(MSExecutionContext_zxjdbc, self).pre_exec()
+        # scope_identity after the fact returns null in jTDS so we must
+        # embed it
+        if self._select_lastrowid and self.dialect.use_scope_identity:
+            self._embedded_scope_identity = True
+            self.statement += "; SELECT scope_identity()"
+
+    def post_exec(self):
+        if self._embedded_scope_identity:
+            while True:
+                try:
+                    row = self.cursor.fetchall()[0]
+                    break
+                except self.dialect.dbapi.Error, e:
+                    self.cursor.nextset()
+            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:
+            table = self.dialect.identifier_preparer.format_table(self.compiled.statement.table)
+            self.cursor.execute("SET IDENTITY_INSERT %s OFF" % table)
+
+
+class MSDialect_zxjdbc(ZxJDBCConnector, MSDialect):
+    jdbc_db_name = 'jtds:sqlserver'
+    jdbc_driver_name = 'net.sourceforge.jtds.jdbc.Driver'
+
+    execution_ctx_cls = MSExecutionContext_zxjdbc
+
+    def _get_server_version_info(self, connection):
+        return tuple(int(x) for x in connection.connection.dbversion.split('.'))
+
+dialect = MSDialect_zxjdbc