Skip to main content

Django backend for Microsoft SQL Server with Azure MSI

Project description

SQL Server backend for Django

Welcome to the azure-msi-mssql-django 3rd party backend project!

azure-msi-mssql-django is a fork of mssql-django. This project provides an enterprise database connectivity option for the Django Web Framework, with support for Microsoft SQL Server and Azure SQL Database.

We'd like to give thanks to the community that made this project possible, with particular recognition of the contributors: OskarPersson, michiya, dlo and the original Google Code django-pyodbc team. Moving forward we encourage partipation in this project from both old and new contributors!

We hope you enjoy using the azure-msi-mssql-django 3rd party backend.

Features

Dependencies

  • pyodbc 3.0 or newer

Installation

  1. Install pyodbc 3.0 (or newer) and Django

  2. Install azure-msi-mssql-django:

    pip install azure-msi-mssql-django
    
  3. Set the ENGINE setting in the settings.py file used by your Django application or project to 'mssql':

    'ENGINE': 'mssql'
    

Configuration

Standard Django settings

The following entries in a database-level settings dictionary in DATABASES control the behavior of the backend:

  • ENGINE

    String. It must be "mssql".

  • NAME

    String. Database name. Required.

  • HOST

    String. SQL Server instance in "server\instance" format.

  • PORT

    String. Server instance port. An empty string means the default port.

  • USER

    String. Database user name in "user" format. If not given then MS Integrated Security will be used.

  • PASSWORD

    String. Database user password.

  • TOKEN

    String. Access token fetched as a user or service principal which has access to the database. E.g. when using azure.identity, the result of DefaultAzureCredential().get_token('https://database.windows.net/.default') can be passed.

  • AUTOCOMMIT

    Boolean. Set this to False if you want to disable Django's transaction management and implement your own.

  • Trusted_Connection

    String. Default is "yes". Can be set to "no" if required.

and the following entries are also available in the TEST dictionary for any given database-level settings dictionary:

  • 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.

  • 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.

  • DEPENDENCIES

    String. The creation-order dependencies of the database. See the official Django documentation for more details.

  • 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.

OPTIONS

Dictionary. Current available keys are:

  • driver

    String. ODBC Driver to use ("ODBC Driver 17 for SQL Server", "SQL Server Native Client 11.0", "FreeTDS" etc). Default is "ODBC Driver 17 for SQL Server".

  • isolation_level

    String. Sets transaction isolation level for each database session. Valid values for this entry are READ UNCOMMITTED, READ COMMITTED, REPEATABLE READ, SNAPSHOT, and SERIALIZABLE. Default is None which means no isolation level is set to a database session and SQL Server default will be used.

  • 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 a SERVERNAME ODBC connection string component instead of being used in a SERVER component; this means that this value should be the name of a dataserver definition present in the freetds.conf FreeTDS configuration file instead of a hostname or an IP address.

    But if this option is present and its value is True, this special behavior is turned off. Instead, connections to the database server will be established using HOST and PORT options, without requiring freetds.conf to be configured.

    See https://www.freetds.org/userguide/dsnless.html for more information.

  • unicode_results

    Boolean. If it is set to True, pyodbc's unicode_results feature is activated and strings returned from pyodbc are always Unicode. Default value is False.

  • extra_params

    String. Additional parameters for the ODBC connection. The format is "param=value;param=value", Azure AD Authentication (Service Principal, Interactive, Msi) can be added to this field.

  • 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".

  • connection_timeout

    Integer. Sets the timeout in seconds for the database connection process. Default value is 0 which disables the timeout.

  • connection_retries

    Integer. Sets the times to retry the database connection process. Default value is 5.

  • connection_retry_backoff_time

    Integer. Sets the back off time in seconds for reries of the database connection process. Default value is 5.

  • query_timeout

    Integer. Sets the timeout in seconds for the database query. Default value is 0 which disables the timeout.

  • setencoding and setdecoding

    # Example
    "OPTIONS": {
            "setdecoding": [
                {"sqltype": pyodbc.SQL_CHAR, "encoding": 'utf-8'},
                {"sqltype": pyodbc.SQL_WCHAR, "encoding": 'utf-8'}],
            "setencoding": [
                {"encoding": "utf-8"}],
            ...
            },
    
  • return_rows_bulk_insert

    Boolean. Sets if backend can return rows from bulk insert. Default value is False which doesn't allows for the backend to return rows from bulk insert. Must be set to False if database has tables with triggers to prevent errors when inserting.

    # Examples
    "OPTIONS": {
        # This database doesn't have any triggers so can use return
        # rows from bulk insert feature
        "return_rows_bulk_insert": True
    }
    
    "OPTIONS": {
        # This database has triggers so leave return_rows_bulk_insert as blank (False)
        # to prevent errors related to inserting and returning rows from bulk insert
    }
    

Backend-specific settings

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.

Example

Here is an example of the database settings for azure token:

DATABASES = {
    'default': {
        'ENGINE': 'sql_server.pyodbc',
        'NAME': 'mydb',
        'HOST': 'myserver.database.windows.net',
        'PORT': '',
        'IS_AZURE_BASED_TOKEN': True,
        'OPTIONS': {
            'driver': 'ODBC Driver 17 for SQL Server',
        },
    },
}

If you are using a local SQL server, use the below configuration.

DATABASES = {
    'default': {
        'ENGINE': 'sql_server.pyodbc',
        'NAME': 'mydb',
        'USER': 'user@myserver',
        'PASSWORD': 'password',
        'HOST': 'myserver.database.windows.net',
        'PORT': '',
        'IS_AZURE_BASED_TOKEN': False,

        'OPTIONS': {
            'driver': 'ODBC Driver 17 for SQL Server',
        },
    },
}

# set this to False if you want to turn off pyodbc's connection pooling
DATABASE_CONNECTION_POOLING = False

Limitations

The following features are currently not fully supported:

  • Altering a model field from or to AutoField at migration
  • Django annotate functions have floating point arithmetic problems in some cases
  • Annotate function with exists
  • Exists function in order_by
  • Righthand power and arithmetic with datatimes
  • Timezones, timedeltas not fully supported
  • Rename field/model with foreign key constraint
  • Database level constraints
  • Math degrees power or radians
  • Bit-shift operators
  • Filtered index
  • Date extract function
  • Bulk insert into a table with a trigger and returning the rows inserted

JSONField lookups have limitations, more details here.

Contributing

More details on contributing can be found here.

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

Security Reporting Instructions

For security reporting instructions please refer to the SECURITY.md file in this repository.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

azure-msi-mssql-django-1.10.tar.gz (70.4 kB view details)

Uploaded Source

Built Distribution

azure_msi_mssql_django-1.10-py3-none-any.whl (91.7 kB view details)

Uploaded Python 3

File details

Details for the file azure-msi-mssql-django-1.10.tar.gz.

File metadata

  • Download URL: azure-msi-mssql-django-1.10.tar.gz
  • Upload date:
  • Size: 70.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.6

File hashes

Hashes for azure-msi-mssql-django-1.10.tar.gz
Algorithm Hash digest
SHA256 bcb7c304944e727998e3c3d496c3407046d4e8444d2ab4f3eae1ac6c784ca3da
MD5 78f3d0b6fe68f61101dc633a3657ba02
BLAKE2b-256 f4fb86cd3aadb13e58eb84590e608cd7a701fd377d98309a2f8590be6451953f

See more details on using hashes here.

File details

Details for the file azure_msi_mssql_django-1.10-py3-none-any.whl.

File metadata

  • Download URL: azure_msi_mssql_django-1.10-py3-none-any.whl
  • Upload date:
  • Size: 91.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.6

File hashes

Hashes for azure_msi_mssql_django-1.10-py3-none-any.whl
Algorithm Hash digest
SHA256 99ade576b74ad9d828e670ad9a7a4eae39723e1d8a5a9247cf4b4433dc9c140b
MD5 6bb1fbac9495ee94da3dc0fc8bbdaa10
BLAKE2b-256 16ec94827f0dadf76959e272c4bf55a60157af3a14d721c4a5cc80398a3175f9

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page