2020)¶

This release includes many new features, bug fixes and performance improvements. Overall, 88 code patches were merged since the last release.

New Features and Improvements¶

Bodo is updated to use the latest versions of Numba, pandas and Arrow:
- Numba 0.51.2
- pandas 1.1.2
- Arrow 1.0.1
Major improvements in memory management. Bodo's memory consumption is reduced significantly by releasing memory as soon as possible in various operations such as Join, GroupBy, and Sort.
Significant improvements in checking and handling various errors in I/O, providing clear error messages and graceful exits.
Improvements in speed and scalability of read_parquet when reading from directories with large number of files.
Distributed diagnostics is improved to provide clear messages on why a variable was assigned REP distribution.
Improvements in caching support for I/O calls and groupby user-defined functions (UDFs).
Support for more distributed getitem/setitem cases on arrays.
Improvements on checking for unsupported functions and optional arguments.
Significant performance improvements in groupby transformations (e.g. GroupBy.cumsum).
Enhanced support for DataFrame.select_dtypes.
Support for axis=1 in DataFrame.var/std.
Support for Series.autocorr.
Support for Series.is_monotonic_increasing/is_monotonic_decreasing.
Support pd.Series() constructor with a scalar data value.
Support for dayofweek, is_leap_year and days_in_month in Timestamp and `Series.dt]{.title-ref}.
Support for isocalendar in Series.dt and DatetimeIndex.
Support for Series.cumsum/cummin/cummax.
Support for Decimal values in nested data structures.
Improvements in table join performance.
Support for Series.drop_duplicates.
Support for np.dot and @ operator on Series.
Improvements in pd.concat support.
Optimized Series.astype(str) for int64 values.
Support for pd.Index constructor.