FEAT: Adding rowID and rowvVer functions #197
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### Work Item / Issue Reference <!-- IMPORTANT: Please follow the PR template guidelines below. For mssql-python maintainers: Insert your ADO Work Item ID below (e.g. AB#37452) For external contributors: Insert Github Issue number below (e.g. #149) Only one reference is required - either GitHub issue OR ADO Work Item. --> <!-- mssql-python maintainers: ADO Work Item --> > [AB#34928](https://sqlclientdrivers.visualstudio.com/c6d89619-62de-46a0-8b46-70b92a84d85e/_workitems/edit/34928) ------------------------------------------------------------------- ### Summary This pull request adds support for retrieving table and index statistics via the ODBC `SQLStatistics` API in the `mssql_python` package. The main changes include implementing the `statistics` method on the Python cursor, exposing the required C++ bindings, defining new constants, and introducing comprehensive tests to ensure the new functionality works as expected. **New statistics feature:** * Added the `statistics` method to the `Cursor` class in `mssql_python/cursor.py`, allowing users to retrieve index and table statistics for a given table, with options to filter by uniqueness, catalog, schema, and quickness of statistics retrieval. * Defined new constants (`SQL_INDEX_UNIQUE`, `SQL_INDEX_ALL`, `SQL_QUICK`, `SQL_ENSURE`) in `mssql_python/constants.py` to support the statistics method options. **C++ binding and integration:** * Added the `SQLStatisticsFunc` type and related function pointer to `mssql_python/pybind/ddbc_bindings.h` and initialized it in `mssql_python/pybind/ddbc_bindings.cpp`. * Implemented the `SQLStatistics_wrap` function and exposed it to Python via the `DDBCSQLStatistics` binding in the pybind module. **Testing:** * Added a comprehensive suite of tests in `tests/test_004_cursor.py` for the new `statistics` method, including tests for setup, basic functionality, unique index filtering, empty tables, non-existent tables, result structure, catalog filtering, the `quick` parameter, and cleanup. --------- Co-authored-by: Jahnvi Thakkar <[email protected]>
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Work Item / Issue Reference
Summary
This pull request adds support for retrieving special columns from a database table using the ODBC
SQLSpecialColumnsfunction. The main changes include new methods in the Python cursor for accessing row identifier and version columns, as well as the necessary C++ and Python bindings to expose this ODBC functionality. Additionally, relevant constants have been added to support these features.New Python cursor methods:
rowIdColumnsandrowVerColumnsmethods to theCursorclass inmssql_python/cursor.py, allowing users to retrieve columns that uniquely identify a row (SQL_BEST_ROWID) and columns that are automatically updated when any value in the row is updated (SQL_ROWVER). These methods handle ODBC parameter preparation, call the new binding, and return results as row objects.ODBC and pybind11 binding support:
SQLSpecialColumnsFuncfunction pointer type and added the corresponding global pointer inmssql_python/pybind/ddbc_bindings.handmssql_python/pybind/ddbc_bindings.cpp.SQLSpecialColumnsWsymbol from the ODBC driver in the driver loader, and included it in the function pointer validation check.SQLSpecialColumns_wrapfunction to call the ODBC API, handling both Unix and Windows string conversions, and exposed it to Python asDDBCSQLSpecialColumnsin the module definition.Constants:
SQL_SCOPE_CURROW,SQL_BEST_ROWID,SQL_ROWVER,SQL_NO_NULLS, andSQL_NULLABLE_UNKNOWNto theConstantsDDBCenum inmssql_python/constants.pyto support the new functionality.