Qodbc Python

[Vinay Pettyjohn]

Iam using QODBC Driver to connect to my Quickbooks Data. Until now, I was the QODBC directly in Power BI/Excel and QODBC works perfectly fine there. But today, I tried to connect to QODBC using python and it is giving me the following error

After a lot of googling, I found the answer. I don't know why but the pyodbc.connect statement requires one more parameter i.e. "autocommit=True". So, the updated code now looks like this and it is working perfectly fine.

So after figuring out the table associations, and pulling sample data, it has come to my attention that I need to change up how Im pulling the data.Part of this is pulling Year-to-Date from the Invoice table.However, qodbc is stupid (its probably me, but it makes me feel better to blame the driver)

Also, bonus points but related... Anyone else have issues with the speed of the qodbc driver? Some tables can be searched just as fast as mysql, but some tables... Holy crap. 10 mins for a simple query. Ideas for improving the speed of those?

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.

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.

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).

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.

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.

where data_source is the name of your ODBC data source. The pyodbc tests attempt to create tables and procedures and insert and retrieve data. Your data source therefore needs to connect to a database in which these actions are permitted.

By default, the Access tests expect you to use a local Access database file (.mdb/.accdb). By making a small change to pyodbc_dist_dir/tests/accesstests.py, you can use the ODBC-ODBC Bridge to run the test suite against a remote Access database.

Note that tests/empty.mdb is only present in this command to satisfy the command line parser in accesstests.py, which expects to run the tests against a local .mdb file. The tests will be run against the remote .mdb file that the ODBC-ODBC Bridge data source connects to, not the local file.

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:

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.)

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:

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