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CHANGELOG.md

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Version 1.0.3

  • Improve compatibility with ODBC drivers (e.g. FreeTDS) that do not support ODBC's SQLDescribeParam() function by using a default parameter type.
  • Improve compatibility with some ODBC drivers (e.g. Microsoft's official MSSQL ODBC driver) for setting timestamps with fractional seconds.

Version 1.0.2

  • Add support for chaining operations to Cursor.execute() and Cursor.executemany(). This allows one-liners such as cursor.execute("SELECT 42").fetchallnumpy().
  • Right before a database connection is closed, any open transactions are explicitly rolled back. This improves compatibility with ODBC drivers that do not perform automatic rollbacks such as Microsoft's official ODBC driver.
  • Improved stability of turbodbc when facing errors while closing connections, statements, and environments. In earlier versions, connection timeouts etc. could have lead to the Python process's termination.
  • Source distribution contains license, readme, and changelog.

Version 1.0.1

  • Add support for OSX

Version 1.0.0

  • Added support for Python 3. Python 2 is still supported as well. Tested with Python 2.7, 3.4, 3.5, and 3.6.
  • Added six package as dependency
  • Turbodbc uses pybind11 instead of Boost.Python to generate its Python bindings. pybind11 is available as a Python package and automatically installed when you install turbodbc. Other boost libraries are still required for other aspects of the code.
  • A more modern compiler is required due to the pybind11 dependency. GCC 4.8 will suffice.
  • Internal: Move remaining stuff depending on python to turbodbc_python
  • Internal: Now requires cmake 2.8.12+ (get it with pip install cmake)

Version 0.5.1

  • Fixed build issue with older numpy versions, e.g., 1.8 (thanks @xhochy)

Version 0.5.0

  • Improved performance of parameter-based operations.
  • Internal: Major modifications to the way parameters are handled.

Version 0.4.1

  • The size of the input buffers for retrieving result sets can now be set to a certain amount of memory instead of using a fixed number of rows. Use the optional read_buffer_size parameter of turbodbc.connect() and set it to instances of the new top-level classes Megabytes and Rows (thanks @LukasDistel).
  • The read buffer size's default value has changed from 1,000 rows to 20 MB.
  • The parameter rows_to_buffer of turbodbc.connect() is deprecated. You can set the read_buffer_size to turbodbc.Rows(1000) for the same effect, though it is recommended to specify the buffer size in MB.
  • Internal: Libraries no longer link libpython.so for local development (linking is already done by the Python interpreter). This was always the case for the libraries in the packages uploaded to PyPI, so no change was necessary here.
  • Internal: Some modifications to the structure of the underlying C++ code.

Version 0.4.0

  • NumPy support is introduced to turbodbc for retrieving result sets. Use cursor.fetchallnumpy to retrieve a result set as an OrderedDict of column_name: column_data pairs, where column_data is a NumPy MaskedArray of appropriate type.
  • Internal: Single turbodbc_intern library was split up into three libraries to keep NumPy support optional. A few files were moved because of this.

Version 0.3.0

  • turbodbc now supports asynchronous I/O operations for retrieving result sets. This means that while the main thread is busy converting an already retrieved batch of results to Python objects, another thread fetches an additional batch in the background. This may yield substantial performance improvements in the right circumstances (results are retrieved in roughly the same speed as they are converted to Python objects).

    Ansynchronous I/O support is experimental. Enable it with turbodbc.connect('My data source name', use_async_io=True)

Version 0.2.5

  • C++ backend: turbodbc::column no longer automatically binds on construction. Call bind() instead.

Version 0.2.4

  • Result set rows are returned as native Python lists instead of a not easily printable custom type.
  • Improve performance of Python object conversion while reading result sets. In tests with an Exasol database, performance got about 15% better.
  • C++ backend: turbodbc::cursor no longer allows direct access to the C++ field type. Instead, please use the cursor's get_query() method, and construct a turbodbc::result_sets::field_result_set using the get_results() method.

Version 0.2.3

  • Fix issue that only lists were allowed for specifying parameters for queries
  • Improve parameter memory consumption when the database reports very large string parameter sizes
  • C++ backend: Provides more low-level ways to access the result set

Version 0.2.2

  • Fix issue that dsn parameter was always present in the connection string even if it was not set by the user's call to connect()
  • Internal: First version to run on Travis.
  • Internal: Use pytest instead of unittest for testing
  • Internal: Allow for integration tests to run in custom environment
  • Internal: Simplify integration test configuration

Version 0.2.1

  • Internal: Change C++ test framework to Google Test

Version 0.2.0

  • New parameter types supported: bool, datetime.date, datetime.datetime
  • cursor.rowcount returns number of affected rows for manipulating queries
  • Connection supports rollback()
  • Improved handling of string parameters

Version 0.1.0

Initial release