django-pyodbc-azure is a refined fork of django-pyodbc, a Django Microsoft SQL Server external DB backend that uses ODBC by employing the pyodbc library. It supports Microsoft SQL Server and Azure SQL Database.
- Supports Django 1.2, 1.3, 1.4, 1.5
- Supports Microsoft SQL Server 2005, 2008/2008R2, 2012, 2014 and Azure SQL Database
- Supports LIMIT+OFFSET and offset w/o LIMIT emulation.
- Passes most of the tests of the Django test suite.
- Compatible with SQL Server , SQL Server Native Client , Micosoft ODBC Driver 11 for SQL Server and FreeTDS ODBC drivers.
- Django 1.2/1.3/1.4/1.5
- pyodbc 2.1 or newer
Install pyodbc and Django
Install django-pyodbc-azure
pip install "django-pyodbc-azure<1.1"
Now you can point the
ENGINE
setting in the settings file used by your Django application or project to the'sql_server.pyodbc'
module path'ENGINE': 'sql_server.pyodbc'
The following database-level settings control the behavior of the backend:
ENGINE
String. It must be
"sql_server.pyodbc"
.NAME
String. Database name. Required.
HOST
String. SQL Server instance in
"server\instance"
(on-premise) or"server.database.windows.net"
(Azure SQL Database) format.PORT
String. Server instance port. An empty string means the default port.
USER
String. Database user name in
"user"
(on-premise) or"user@server"
(Azure SQL Database) format. If not given then MS Integrated Security will be used.PASSWORD
String. Database user password.
TEST_NAME
String. The name of database to use when running the test suite. If the default value (
None
) is used, the test database will use the name "test_" +NAME
.TEST_COLLATION
String. The collation order to use when creating the test database. If the default value (
None
) is used, the test database is assigned the default collation of the instance of SQL Server.TEST_CREATE
Boolean. If it is set to
False
, the test database won’t be automatically created at the beginning of the tests and dropped at the end. This is useful not to be charged too much for creating new databases in every test when you run tests with Azure SQL Database.TEST_DEPENDENCIES
String. The creation-order dependencies of the database. See the official Django documentation for more details.
TEST_MIRROR
String. The alias of the database that this database should mirror during testing. Default value is
None
. See the official Django documentation for more details.
Dictionary. Current available keys are:
autocommit
Boolean. Indicates if pyodbc should direct the ODBC driver to activate the autocommit feature. Default value is
False
.driver
String. ODBC Driver to use (
"SQL Server Native Client 11.0"
etc). See http://msdn.microsoft.com/en-us/library/ms130892.aspx. Default is"SQL Server"
on Windows and"FreeTDS"
on other platforms.dsn
String. A named DSN can be used instead of
HOST
.host_is_server
Boolean. Only relevant if using the FreeTDS ODBC driver under Unix/Linux.
By default, when using the FreeTDS ODBC driver the value specified in the
HOST
setting is used in aSERVERNAME
ODBC connection string component instead of being used in aSERVER
component; this means that this value should be the name of a dataserver definition present in thefreetds.conf
FreeTDS configuration file instead of a hostname or an IP address.But if this option is present and it's value is
True
, this special behavior is turned off.See http://www.freetds.org/userguide/dsnless.htm for more information.
extra_params
String. Additional parameters for the ODBC connection. The format is
"param=value;param=value"
.collation
String. Name of the collation to use when performing text field lookups against the database. Default is
None
; this means no collation specifier is added to your lookup SQL (the default collation of your database will be used). For Chinese language you can set it to"Chinese_PRC_CI_AS"
.use_legacy_datetime
Boolean.
DateField
,TimeField
andDateTimeField
of models are mapped to SQL Server's legacydatetime
type if the value isTrue
(the same behavior as the originaldjango-pyodbc
). Otherwise, they are mapped to new dedicated data types (date
,time
,datetime2
). Default value isFalse
, and note that the feature is always activated when you use SQL Server 2005, or the outdated ODBC drivers ("FreeTDS"
/"SQL Server"
/"SQL Native Client"
).
The following project-level settings also control the behavior of the backend:
DATABASE_CONNECTION_POOLING
Boolean. If it is set to
False
, pyodbc's connection pooling feature won't be activated.
Here is an example of the database settings:
DATABASES = { 'default': { 'ENGINE': 'sql_server.pyodbc', 'NAME': 'mydb', 'USER': 'user@myserver', 'PASSWORD': 'password', 'HOST': 'myserver.database.windows.net', 'PORT': '', 'OPTIONS': { 'driver': 'SQL Server Native Client 11.0', }, }, } # set this to False if you want to turn off pyodbc's connection pooling DATABASE_CONNECTION_POOLING = False
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