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pyodbc is an open source Python module that provides access to ODBC databases. pyodbc implements the Python DB API 2.0 specification.

The Python DB API defines a database-neutral interface to data stored in relational databases. Python DB was designed to allow conformant modules to provide a consistent interface to different database products. This helps developers to write Python applications that are portable across databases.

pyodbc is a Python DB conformant module for ODBC databases. This tutorial shows how to use pyodbc with an ODBC driver, which you can download from this site. You can then connect Python on Linux and Unix to remote database such as Microsoft SQL Server, Oracle®, DB2, Microsoft Access, Sybase ASE and InterBase.

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pyodbc and Linux

Easysoft ODBC drivers have been tested with pyodbc 2.0+, 2.1+ and 3.0+ on RedHat, Ubuntu and Debian GNU/Linux, but should work with any recent 32-bit or 64-bit Linux distribution — CentOS, Fedora, Kubuntu, Mandrake/Mandriva, OpenSUSE/SUSE, RedHat Enterprise Linux (RHEL), Slackware and so on.

pyodbc Prerequisites

Python

The pyodbc module requires Python 2.4 or greater (see README.txt, which is included with the pyodbc distribution).

To build pyodbc, you need the Python libraries and header files, and a C++ compiler.

When testing on RedHat, we used Python 2.5.1, the python-devel package and the gcc-c++ package. On Ubuntu, we used Python 2.5.1 and Python 3.2.3, the python-dev package and the g++ package. On Debian, we used Python 2.4.4, the python2.4-dev package and the g++ package.

ODBC Driver

To use pyodbc, you need to install an ODBC driver on the machine Python where is installed:

  1. Download the ODBC driver for your Python and database platform. (Registration required.)

    For example, if want to access SQL Server from Python, download the Easysoft ODBC-SQL Server Driver for your Python platform. If the SQL Server ODBC driver is not currently available for your platform, check the list of ODBC-ODBC Bridge client platforms. The ODBC-ODBC Bridge is an alternative SQL Server solution from Easysoft, which you can download from this site.

  2. Install and license the ODBC driver on the machine where Python is installed.

    For installation instructions, see the ODBC driver documentation. Refer to the documentation to see which environment variables you need to set (LD_LIBRARY_PATH, LIBPATH, LD_RUN_PATH, SHLIB_PATH or ORACLE_HOME depending on the driver, platform and linker).

  3. Create a ODBC data source in /etc/odbc.ini that connects to the database you want to access. For example, this SQL Server ODBC data source connects to a SQL Server Express instance that serves the Northwind database:
  4. Use isql to test the new data source. For example:

    At the prompt, type 'help' to display a list of tables. To exit, press return in an empty prompt line.

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Installing pyodbc

On Unix and Linux platforms, you need to download the pyodbc source distribution and build it against an ODBC driver manager. These instructions show how to build pyodbc against the unixODBC driver manager supplied with an Easysoft ODBC driver. We recommend that you use the driver manager distributed with the driver because this is the version of unixODBC that we test the driver with.

pyodbc 3.0.x

  1. Download the source distribution from the pyodbc web site.
  2. Copy the distribution file to your Python machine, unzip and cd into the directory created by unzipping the file. For example:
  3. To build pyodbc against unixODBC, you need to tell the compiler and linker where to find the unixODBC include files and libraries. To do this, open setup.py in a text editor and find this line:

    Edit the line so that it looks likes this:

    Add the following line below the line you have just changed:

  4. Build pyodbc:

    Note To rebuild pyodbc, you may need to manually remove the build directory tree by using rm -r build rather than python setup.py clean.

  5. As root, install pyodbc:
  6. Run this command:

    If the command’s output is UCS4 (as opposed to UCS2), refer to Using pyodbc with a UCS4 Python Build.

pyodbc 2.1.x

  1. Download the platform-independent source distribution from the pyodbc web site.
  2. Copy the distribution file to your Python machine, unzip and cd into the directory created by unzipping the file. For example:
  3. To build pyodbc against unixODBC, you need to tell the compiler and linker where to find the unixODBC include files and libraries. To do this, open setup.py in a text editor and find these lines:

    Edit the second line so that it looks likes this:

    Find this line:

    Edit the line so that it looks like this:

  4. Build pyodbc:

    Note To rebuild pyodbc, you may need to manually remove the build directory tree by using rm -r build rather than python setup.py clean.

  5. As root, install pyodbc:
  6. Run this command:

    If the command’s output is UCS4 (as opposed to UCS2), refer to Using pyodbc with a UCS4 Python Build.

pyodbc 2.0.x

  1. Download the platform-independent source distribution from the pyodbc web site.
  2. Copy the distribution file to your Python machine, unzip and cd into the directory created by unzipping the file. For example:
  3. To build pyodbc against unixODBC, you need to tell the compiler and linker where to find the unixODBC include files and libraries. To do this, open setup.py in a text editor and find these lines:

    Edit the lines so that they look like this:

    Note In pyodbc versions earlier than 2.0.52, setup.py was named setup.PY.

  4. Build pyodbc:

    Note If you need to rebuild pyodbc, first remove the build directory tree by using rm -r build rather than python setup.py clean. When testing with pyodbc 2.0.52, we found that the clean command failed to remove pyodbc.so. As a consequence, running python setup.py build failed to rebuild pyodbc.so.

  5. As root, install pyodbc:
  6. Run this command:

    If the command’s output is UCS4 (as opposed to UCS2), refer to Using pyodbc with a UCS4 Python Build.

Testing pyodbc

The pyodbc distribution includes two test suites:

The Python DB API 2.0 Tests

The Python DB API 2.0 test suite was written to allow Python DB developers to verify their driver’s DB API conformance. As the tests access and manipulate database tables, they provide another way to test pyodbc against your ODBC driver and database. We therefore recommend that you run them. To do this:

pyodbc 2.1.x

  1. cd into the directory created by unzipping the pyodbc distribution file.
  2. Run the tests:

pyodbc 2.0.x

  1. cd into the directory created by unzipping the pyodbc distribution file.
  2. Open setup.cfg in a text editor.
  3. In the [apitest] section, specify your ODBC data source in the connection-string value. For example:
  4. Run the tests:

The pyodbc Tests

The pyodbc tests allow you to ensure that an ODBC driver is compatible with pyodbc.

pyodbc 3.0.x

The pyodbc source code repository (http://code.google.com/p/pyodbc/source/browse) includes test suites for a number of databases, including SQL Server.

To run the SQL Server tests:

  1. Get a local copy of the pyodbc repository:
  2. cd into the top-level pyodbc directory.
  3. Build pyodbc.
  4. Run the tests:

    If you are using Python 2.x, run the test suite contained in the tests2 directory instead:

    The pyodbc.drivers() test fails as pyodbc does not support this attribute on non-Windows platforms.

pyodbc 2.0.x

Note Some tests use data types and SQL syntax that are supported by SQL Server but not other databases. The test suite is most relevant to SQL Server therefore. The test suite does skip some tests based on data type information reported by the ODBC driver. However, some tests are still run even though the driver has reported that the prerequisite data type is not available. (To see which tests pyodbctest skips, include the -d option when running the tests.)

When we tested pyodbc, Easysoft ODBC drivers passed all tests that the target database was capable of passing. For example, when we ran the pyodbc test suite against Oracle® Database XE, test_sqlserver_callproc failed because it uses SQL Server specific syntax to create and execute a stored procedure. If the test is modified to use SQL syntax that Oracle® supports, the test succeeds. For example:

In addition to these issues, please note the following before running the tests:

SQLConnectW is the wide version of SQLConnect.) pyodbc 2.0.58+ will use the wide character version of the ODBC APIs if the driver supports them. When built against a UCS4 version of Python, the connection string passed by pyodbc to SQLDriverConnectW is not in the expected format, and the connection fails with the error:

To work around this, use the non-Unicode version of the driver, which does not support wide function calls. To do this, edit the Driver in your data source. For example:

  • If you get text corruption when retrieving character data, try setting the DisguiseWide data source attribute to Yes. Doing this prevents pyodbc from retrieving character data as a SQL_WCHAR in SQLGetData calls.
  • You will be unable to use pyodbc/UCS4 Python/ODBC driver to retrieve Unicode strings stored in NCHAR, NVARCHAR or NTEXT columns. To work around this, build pyodbc against a UCS2 version of Python.

    • Oracle®

    • You will be unable to use pyodbc/UCS4 Python/ODBC driver to retrieve Unicode strings stored in NCHAR or NVARCHAR2 columns. To work around this, build pyodbc against a UCS2 version of Python.

    NCHAR/NVARCHAR/NTEXT SQL Server Data and pyodbc 2.1.x

    When using the SQL Server ODBC driver/pyodbc 2.1.x to retrieve NCHAR, NVARCHAR or NTEXT data, we experienced data corruption. To work around this, we used pyodbc 2.0.58 instead of a 2.1.x build. (Please see Issue 13: Problem fetching NTEXT and NVARCHAR data.)

    Building pyodbc 2.0.58+ Against unixODBC 2.2.7 or Earlier

    If you are building pyodbc 2.0.58+ against unixODBC 2.2.7 or earlier, make the following change to /usr/local/easysoft/unixODBC/include/sqlext.h:

    1. Find these lines:
    2. Add these lines after the #ifdef block:

      The edited file now looks like this:

    By default, pyodbc 2.0.58+ uses the wide character version of SQLDriverConnect (SQLDriverConnectW). Editing sqlext.h enables pyodbc to locate sqlucode.h, the include file for the wide character versions of the ODBC APIs. Unless you do this, building pyodbc fails with an error similar to:

    In unixODBC 2.2.8+, sqlext.h includes the Unicode ODBC API header sqlucode.h.

    Appendix A: Resources

    • Easysoft ODBC drivers:
      • ODBC-JDBC Gateway — providing ODBC access to JDBC data sources
      • ODBC-ODBC Bridge — providing ODBC access to any remote ODBC data source, for example, MS Access from Linux
    • Linux/UNIX ODBC — everything you need to know about ODBC on Linux and UNIX platforms.
    • 64-bit ODBC — everything you need to know about ODBC on 64-bit Linux, UNIX and Windows platforms.

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