This release updates pandas to 2.2, introduces lazy execution mode on Ray, new functions that support glob
syntax and speeds up several more groupby cases. It also includes some other new features, performance
optimizations and many bug fixes.
Key Features and Updates Since 0.26.0
- Stability and Bugfixes
- FIX-#2405: Make sure named aggregation work for Series objects (#6892)
- FIX-#5925: Put a sorting-hack into groupby tests to hide #6875 bug (#6896)
- FIX-#6830: Pass AWS related env vars to mpiexec (#6867)
- FIX-#6840: Call
tolistfunction inDtypesDescriptor._merge_dtypes(#6844) - FIX-#6855: Make sure
read_parquetworks with integer columns for pyarrow engine (#6874) - FIX-#6879: Convert the right DF to single partition before broadcasting in
query_compiler.merge(#6880) - FIX-#6881: Make sure
astypeworks correctly withint32andfloat32dtypes (#6884) - FIX-#6897: Preprocess kernel function that aligns columns in groupby (#6898)
- FIX-#6897: Revert unidist specific fix for groupby (#6902)
- FIX-#6899: Avoid sending lazy categorical proxies to workers (#6900)
- FIX-#6904: Align levels of partially known dtypes with MultiIndex labels (#6905)
- FIX-#6911: Remove unidist specific workaround in
.from_pandas()(#6912) - FIX-#6916: Unpin
pydanticdependency (#6917) - FIX-#6924: HDK: Use
JoinNodeinstead ofMaskNodefor non-range row_position (#6926)
- Performance enhancements
- Refactor Codebase
- REFACTOR-#6293: Corrected
missmatchtomismatchinErrorMessage.missmatch_with_pandasmethod (#6901) - REFACTOR-#6812: Remove
PyarrowOnRayexecution in favour of pyarrow-backed pandas dataframes (#6848) - REFACTOR-#6833: Remove
SocksProxy,DoLogRpyc,DoTraceRpycoutdated classes (#6834) - REFACTOR-#6845: Fix import issues found by CodeQL (#6837)
- REFACTOR-#6852: Remove
OrderedDictin favor of builtindict(#6853) - REFACTOR-#6858: Rename
_get_dimensionsand change arguments (#6859) - REFACTOR-#6889: Define
__all__inmodin.config.__init__.py(#6886) - REFACTOR-#6903: Remove duplicated definitions of
create_test_series(#6910) - REFACTOR-#6918: Docstring and type hints fixes (#6925)
- REFACTOR-#6293: Corrected
- Update testing suite
- TEST-#6708: Create test files using
tmp_pathfixture (#6709) - TEST-#6777: Make
to_csvtests on Unidist more stable (fortest-all-unidistCI job) (#6851) - TEST-#6830: Use local s3 server instead of public s3 buckets (#6863)
- TEST-#6846: Skip unstable Unidist
to_csvtests (#6847) - TEST-#6868: Remove tests for
gsremote protocol since we rely onfsspec(#6882) - TEST-#6885: Switch to
black>=24.1.0(#6887) - TEST-#6893: Added support for
pytest 8.0.0(#6894) - TEST-#6920: Remove testing for Ray client (#6921)
- TEST-#6708: Create test files using
- Documentation improvements
- New Features
- FEAT-#3450: Implement
read_json_globandto_json_glob(#6873) - FEAT-#5809: New implementation of the Ray lazy execution queue (#6731)
- FEAT-#5925: Enable grouping on categoricals with range-partitioning impl (#6862)
- FEAT-#6382: Execute bitwise NOT (~) operations on HDK (#6383)
- FEAT-#6398: Improved performance of list-like objects insertion into HDK DataFrames (#6412)
- FEAT-#6830: Remove public s3 bucket reference (#6829)
- FEAT-#6831: Implement
read_parquet_globandto_parquet_glob(#6854) - FEAT-#6832: Implement
read_xml_glob,to_xml_glob(#6930) - FEAT-#6835: Do not put binary functions to the Ray storage multiple times (#6836)
- FEAT-#6838: Prefer lazy execution for binary operations with scalar (#6839)
- FEAT-#6841: Fixing ray anti pattern with
.length()and.width()being called in a loop (#6842) - FEAT-#6849: Removing
to_pandascall inmergeandjoinfunctions (#6850) - FEAT-#6883: Support grouping on a Series with range-partitioning impl (#6888)
- FEAT-#6906: Update to pandas
2.2.*(#6907) - FEAT-#6908: Remove the warning regarding engine initialization (#6909)
- FEAT-#6914: Add a config for setting a number of threads per Dask worker (#6915)
- FEAT-#6918: Add auto mode to the lazy execution. (#6919)
- FEAT-#3450: Implement
Contributors
@AndreyPavlenko
@YarShev
@anmyachev
@arunjose696
@dchigarev
@leshikus
@vedant