The SQL Test module assists in testing of data between SQL database tables. This is the development version of the module.
Use examples include comparing data in a view to those in a table derived from a star schema, or comparing results from a table derived from an external source to a table built via ETL.
You can install sql_test directly from pypi using
pip install sql-test.
Once installed, the files
sql_config.py provide examples of how the SQLAlchemy engines can be configured. These files should be customized for personal use. When customizing the files do not rename them or move them. Doing so will cause errors with any future updates.
- Creates and runs SQL database queries based on attributes provided with class instantiation or custom SQL query string.
- Completes five built in tests based on field-type categorizations of
- Flags fields above a specified difference threshold for "priority review".
- Displays a summary of results.
- Saves results and summary as specified.
- Auto-detects the type of test to be run.
- Utilizes methods of SQLUnitTest to complete a full comparison of table values.
- Conducts basic database queries
The concept behind the testing is that database information can often be segmented by a field, such as dates. Testing can be done by comparing field values across these groupings.
If we had three tables
alt_sim_rental_view we may wish to compare them to see if the "alt" tables are accurately capturing the information in
We could view the tables:
Run Test Battery
And run tests on them:
To complete the test battery we need to determine the fields that can segment the data. In this case, the field that can be used to group the data is
Table information is specified on instantiation and
compare_tables will create all query strings, gather the data, and run the tests based on the information provided. (Methods are available via SQLUnitTest to complete each step separately)
Activity, exceptions, and fields flagged for priority review are logged during operation.
A summarized version of results (as a DataFrame or image), indicating the percentage difference between table fields (and the test type used), is also available via the test battery.
Confirm Shared IDs
As further confirmation that are tables are replicas of each other, we may also test whether the IDs in one table are the same as the IDs in the other table.
We can use the .compare_ids method to compare between two tables at a time.
This module utilizes:
Testing is completed using the PostgreSQL DVD Rental sample database.