Releases: rapidsai/cudf
Releases · rapidsai/cudf
v24.06.01
🚨 Breaking Changes
- Deprecate
Groupby.collect
(#15808) @galipremsagar - Raise FileNotFoundError when a literal JSON string that looks like a json filename is passed (#15806) @lithomas1
- Support filtered I/O in
chunked_parquet_reader
and simplify the use ofparquet_reader_options
(#15764) @mhaseeb123 - Raise errors for unsupported operations on certain types (#15712) @galipremsagar
- Support
DurationType
in cudf parquet reader viaarrow:schema
(#15617) @mhaseeb123 - Remove protobuf and use parsed ORC statistics from libcudf (#15564) @bdice
- Remove legacy JSON reader from Python (#15538) @bdice
- Removing all batching code from parquet writer (#15528) @mhaseeb123
- Convert libcudf resource parameters to rmm::device_async_resource_ref (#15507) @harrism
- Remove deprecated strings offsets_begin (#15454) @davidwendt
- Floating <--> fixed-point conversion must now be called explicitly (#15438) @pmattione-nvidia
- Bind
read_parquet_metadata
API to libcudf instead of pyarrow and extractRowGroup
information (#15398) @mhaseeb123 - Remove deprecated hash() and spark_murmurhash3_x86_32() (#15375) @davidwendt
- Remove empty elements from exploded character-ngrams output (#15371) @davidwendt
- [FEA] Performance improvement for mixed left semi/anti join (#15288) @tgujar
- Align date_range defaults with pandas, support tz (#15139) @mroeschke
🐛 Bug Fixes
- Backport: Use size_t to allow large conditional joins (#16127) (#16133) @bdice
- Backport #16045 to 24.06 (#16102) @vyasr
- Backport #16038 to 24.06 (#16101) @vyasr
- Backport: Fix segfault in conditional join (#16094) (#16100) @bdice
- Add patch for incorrect cuco noexcept clauses (#16077) @vyasr
- Revert "Fix docs for IO readers and strings_convert" (#15872) @vyasr
- Remove problematic call of index setter to unblock dask-cuda CI (#15844) @charlesbluca
- Use rapids_cpm_nvtx3 to get same nvtx3 target state as rmm (#15840) @robertmaynard
- Return boolean from config_host_memory_resource instead of throwing (#15815) @abellina
- Add temporary dask-cudf workaround for categorical sorting (#15801) @rjzamora
- Fix row group alignment in ORC writer (#15789) @vuule
- Raise error when sorting by categorical column in dask-cudf (#15788) @rjzamora
- Upgrade
arrow
to 16.1 (#15787) @galipremsagar - Add support for
PandasArray
forpandas<2.1.0
(#15786) @galipremsagar - Limit runtime dependency to
libarrow>=16.0.0,<16.1.0a0
(#15782) @pentschev - Fix cat.as_ordered not propogating correct size (#15780) @mroeschke
- Handle mixed-like homogeneous types in
isin
(#15771) @galipremsagar - Fix id_vars and value_vars not accepting string scalars in melt (#15765) @mroeschke
- Fix
DatetimeIndex.loc
for all types of ordering cases (#15761) @galipremsagar - Fix arrow versioning logic (#15755) @vyasr
- Avoid running sanitizer on Java test designed to cause an error (#15753) @jlowe
- Handle empty dataframe object with index present in setitem of
loc
(#15752) @galipremsagar - Eliminate circular reference in DataFrame/Series.iloc/loc (#15749) @mroeschke
- Cap the absolute row index per pass in parquet chunked reader. (#15735) @nvdbaranec
- Fix
Index.repeat
fordatetime64
types (#15722) @galipremsagar - Fix multibyte check for case convert for large strings (#15721) @davidwendt
- Fix
get_loc
to properly fetch results from an index that is in decreasing order (#15719) @galipremsagar - Return same type as the original index for
.loc
operations (#15717) @galipremsagar - Correct static builds + static arrow (#15715) @robertmaynard
- Raise errors for unsupported operations on certain types (#15712) @galipremsagar
- Fix ColumnAccessor caching of nrows if empty previously (#15710) @mroeschke
- Allow
None
whennan_as_null=False
in column constructor (#15709) @galipremsagar - Refine
CudaTest.testCudaException
in case throwing wrong type of CudaError under aarch64 (#15706) @sperlingxx - Fix maxima of categorical column (#15701) @rjzamora
- Add proxy for inplace operations in
cudf.pandas
(#15695) @galipremsagar - Make
nan_as_null
behavior consistent across all APIs (#15692) @galipremsagar - Fix CI s3 api command to fetch latest results (#15687) @galipremsagar
- Add
NumpyExtensionArray
proxy type incudf.pandas
(#15686) @galipremsagar - Properly implement binaryops for proxy types (#15684) @galipremsagar
- Fix copy assignment and the comparison operator of
rmm_host_allocator
(#15677) @vuule - Fix multi-source reading in JSON byte range reader (#15671) @shrshi
- Return
int64
when pandas compatible mode is turned on forget_indexer
(#15659) @galipremsagar - Fix Index contains for error validations and float vs int comparisons (#15657) @galipremsagar
- Preserve sub-second data for time scalars in column construction (#15655) @galipremsagar
- Check row limit size in cudf::strings::join_strings (#15643) @davidwendt
- Enable sorting on column with nulls using query-planning (#15639) @rjzamora
- Fix operator precedence problem in Parquet reader (#15638) @etseidl
- Fix decoding of dictionary encoded FIXED_LEN_BYTE_ARRAY data in Parquet reader (#15601) @etseidl
- Fix debug warnings/errors in from_arrow_device_test.cpp (#15596) @davidwendt
- Add "collect" aggregation support to dask-cudf (#15593) @rjzamora
- Fix categorical-accessor support and testing in dask-cudf (#15591) @rjzamora
- Disable compute-sanitizer usage in CI tests with CUDA<11.6 (#15584) @davidwendt
- Preserve RangeIndex.step in to_arrow/from_arrow (#15581) @mroeschke
- Ignore new cupy warning (#15574) @vyasr
- Add cuda-sanitizer-api dependency for test-cpp matrix 11.4 (#15573) @davidwendt
- Allow apply udf to reference global modules in cudf.pandas (#15569) @mroeschke
- Fix deprecation warnings for json legacy reader (#15563) @davidwendt
- Fix millisecond resampling in cudf Python (#15560) @mroeschke
- Rename JSON_READER_OPTION to JSON_READER_OPTION_NVBENCH. (#15553) @bdice
- Fix a JNI bug in JSON parsing fixup (#15550) @revans2
- Remove conda channel setup from wheel CI image script. (#15539) @bdice
- cudf.pandas: Series dt accessor is CombinedDatetimelikeProperties (#15523) @wence-
- Fix for some compiler warnings in parquet/page_decode.cuh (#15518) @etseidl
- Fix exponent overflow in strings-to-double conversion (#15517) @davidwendt
- nanoarrow uses package override for proper pinned versions generation (#15515) @robertmaynard
- Remove index name overrides in dask-cudf pyarrow table dispatch (#15514) @charlesbluca
- Fix async synchronization issues in json_column.cu (#15497) @karthikeyann
- Add new patch to hide more CCCL APIs (#15493) @vyasr
- Make improvements in pandas-test reporting (#15485) @galipremsagar
- Fixed page data truncation in parquet writer under certain conditions. (#15474) @nvdbaranec
- Only use data_type constructor with scale for decimal types (#15472) @wence-
- Avoid "p2p" shuffle as a default when
dask_cudf
is imported (#15469) @rjzamora - Fix debug build errors from to_arrow_device_test.cpp (#15463) @davidwendt
- Fix base_normalator::integer_sizeof_fn integer dispatch (#15457) @davidwendt
- Allow consumers of static builds to find nanoarrow (#15456) @robertmaynard
- Allow jit compilation when using a splayed CUDA toolkit (#15451) @robertmaynard
- Handle case of scan aggregation in groupby-transform (#15450) @wence-
- Test static builds in CI and fix nanoarrow configure (#15437) @vyasr
- Fixes potential race in JSON parser when parsing JSON lines format and when recovering from invalid lines (#15419) @elstehle
- Fix errors in chunked ORC writer when no tables were (successfully) written (#15393) @vuule
- Support implicit array conversion with query-planning enabled (#15378) @rjzamora
- Fix arrow-based round trip of empty dataframes (#15373) @wence-
- Remove empty elements from exploded character-ngrams output (#15371) @davidwendt
- Remove boundscheck=False setting in cython files (#15362) @wence-
- Patch dask-expr
var
logic in dask-cudf (#15347) @rjzamora - Fix for logical and syntactical errors in libcudf c++ examples (#15346) @mhaseeb123
- Disable dask-expr in docs builds. (#15343) @bdice
- Apply the cuFile error work around to data_sink as well (#15335) @vuule
- Fix parquet predicate filtering with column projection (#15113) @karthikeyann
- Check column type equality, handling nested types correctly. (#14531) @bdice
📖 Documentation
- Fix docs for IO readers and strings_convert (#15842) @bdice
- Update cudf.pandas docs for GA (#15744) @beckernick
- Add contributing warning about circular imports (#15691) @er-eis
- Update libcudf developer guide for strings offsets column (#15661) @davidwendt
- Update developer guide with device_async_resource_ref guidelines (#15562) @harrism
- DOC: add pandas intersphinx mapping (#15531) @raybellwaves
- rm-dup-doc in frame.py (#15530) @raybellwaves
- Update CONTRIBUTING.md to use latest cuda env (#15467) @raybellwaves
- Doc: interleave columns pandas compat (#15383) @raybellwaves
- Simplified README Examples (#15338) @wkaisertexas
- Add debug tips section to libcudf developer guide (#15329) @davidwendt
- Fix and clarify notes on result ordering (#13255) @shwina
🚀 New Features
- Add JNI bindings for zstd compression of NVCOMP. (#15729) @firestarman
- Fix spaces around CSV quoted strings (#15727) @thabetx
- Add default pinned pool that falls back to new pinned allocations (#15665) @vuule
- Overhaul ops-codeowners coverage (#15660) @raydouglass
- Concatenate dictionary of objects along axis=1 (#15623) @er-eis
- Construct
pylibcudf
columns from objects supporting__cuda_array_interface__
(#15615) @brandon-b-miller - Expose some Parquet per-column configuration options via the python API (#15613) @etseidl
- Migrate string
find
operations topylibcudf
(#15604) @brandon-b-miller - Round trip FIXED_LEN_BYTE_ARRAY data properly in Parquet writer (#15600) @etseidl
- Reading multi-line JSON in string columns using runtime configurable delimiter (#15556) @shrshi
- Remove p...
v24.06.00
🚨 Breaking Changes
- Deprecate
Groupby.collect
(#15808) @galipremsagar - Raise FileNotFoundError when a literal JSON string that looks like a json filename is passed (#15806) @lithomas1
- Support filtered I/O in
chunked_parquet_reader
and simplify the use ofparquet_reader_options
(#15764) @mhaseeb123 - Raise errors for unsupported operations on certain types (#15712) @galipremsagar
- Support
DurationType
in cudf parquet reader viaarrow:schema
(#15617) @mhaseeb123 - Remove protobuf and use parsed ORC statistics from libcudf (#15564) @bdice
- Remove legacy JSON reader from Python (#15538) @bdice
- Removing all batching code from parquet writer (#15528) @mhaseeb123
- Convert libcudf resource parameters to rmm::device_async_resource_ref (#15507) @harrism
- Remove deprecated strings offsets_begin (#15454) @davidwendt
- Floating <--> fixed-point conversion must now be called explicitly (#15438) @pmattione-nvidia
- Bind
read_parquet_metadata
API to libcudf instead of pyarrow and extractRowGroup
information (#15398) @mhaseeb123 - Remove deprecated hash() and spark_murmurhash3_x86_32() (#15375) @davidwendt
- Remove empty elements from exploded character-ngrams output (#15371) @davidwendt
- [FEA] Performance improvement for mixed left semi/anti join (#15288) @tgujar
- Align date_range defaults with pandas, support tz (#15139) @mroeschke
🐛 Bug Fixes
- Revert "Fix docs for IO readers and strings_convert" (#15872) @vyasr
- Remove problematic call of index setter to unblock dask-cuda CI (#15844) @charlesbluca
- Use rapids_cpm_nvtx3 to get same nvtx3 target state as rmm (#15840) @robertmaynard
- Return boolean from config_host_memory_resource instead of throwing (#15815) @abellina
- Add temporary dask-cudf workaround for categorical sorting (#15801) @rjzamora
- Fix row group alignment in ORC writer (#15789) @vuule
- Raise error when sorting by categorical column in dask-cudf (#15788) @rjzamora
- Upgrade
arrow
to 16.1 (#15787) @galipremsagar - Add support for
PandasArray
forpandas<2.1.0
(#15786) @galipremsagar - Limit runtime dependency to
libarrow>=16.0.0,<16.1.0a0
(#15782) @pentschev - Fix cat.as_ordered not propogating correct size (#15780) @mroeschke
- Handle mixed-like homogeneous types in
isin
(#15771) @galipremsagar - Fix id_vars and value_vars not accepting string scalars in melt (#15765) @mroeschke
- Fix
DatetimeIndex.loc
for all types of ordering cases (#15761) @galipremsagar - Fix arrow versioning logic (#15755) @vyasr
- Avoid running sanitizer on Java test designed to cause an error (#15753) @jlowe
- Handle empty dataframe object with index present in setitem of
loc
(#15752) @galipremsagar - Eliminate circular reference in DataFrame/Series.iloc/loc (#15749) @mroeschke
- Cap the absolute row index per pass in parquet chunked reader. (#15735) @nvdbaranec
- Fix
Index.repeat
fordatetime64
types (#15722) @galipremsagar - Fix multibyte check for case convert for large strings (#15721) @davidwendt
- Fix
get_loc
to properly fetch results from an index that is in decreasing order (#15719) @galipremsagar - Return same type as the original index for
.loc
operations (#15717) @galipremsagar - Correct static builds + static arrow (#15715) @robertmaynard
- Raise errors for unsupported operations on certain types (#15712) @galipremsagar
- Fix ColumnAccessor caching of nrows if empty previously (#15710) @mroeschke
- Allow
None
whennan_as_null=False
in column constructor (#15709) @galipremsagar - Refine
CudaTest.testCudaException
in case throwing wrong type of CudaError under aarch64 (#15706) @sperlingxx - Fix maxima of categorical column (#15701) @rjzamora
- Add proxy for inplace operations in
cudf.pandas
(#15695) @galipremsagar - Make
nan_as_null
behavior consistent across all APIs (#15692) @galipremsagar - Fix CI s3 api command to fetch latest results (#15687) @galipremsagar
- Add
NumpyExtensionArray
proxy type incudf.pandas
(#15686) @galipremsagar - Properly implement binaryops for proxy types (#15684) @galipremsagar
- Fix copy assignment and the comparison operator of
rmm_host_allocator
(#15677) @vuule - Fix multi-source reading in JSON byte range reader (#15671) @shrshi
- Return
int64
when pandas compatible mode is turned on forget_indexer
(#15659) @galipremsagar - Fix Index contains for error validations and float vs int comparisons (#15657) @galipremsagar
- Preserve sub-second data for time scalars in column construction (#15655) @galipremsagar
- Check row limit size in cudf::strings::join_strings (#15643) @davidwendt
- Enable sorting on column with nulls using query-planning (#15639) @rjzamora
- Fix operator precedence problem in Parquet reader (#15638) @etseidl
- Fix decoding of dictionary encoded FIXED_LEN_BYTE_ARRAY data in Parquet reader (#15601) @etseidl
- Fix debug warnings/errors in from_arrow_device_test.cpp (#15596) @davidwendt
- Add "collect" aggregation support to dask-cudf (#15593) @rjzamora
- Fix categorical-accessor support and testing in dask-cudf (#15591) @rjzamora
- Disable compute-sanitizer usage in CI tests with CUDA<11.6 (#15584) @davidwendt
- Preserve RangeIndex.step in to_arrow/from_arrow (#15581) @mroeschke
- Ignore new cupy warning (#15574) @vyasr
- Add cuda-sanitizer-api dependency for test-cpp matrix 11.4 (#15573) @davidwendt
- Allow apply udf to reference global modules in cudf.pandas (#15569) @mroeschke
- Fix deprecation warnings for json legacy reader (#15563) @davidwendt
- Fix millisecond resampling in cudf Python (#15560) @mroeschke
- Rename JSON_READER_OPTION to JSON_READER_OPTION_NVBENCH. (#15553) @bdice
- Fix a JNI bug in JSON parsing fixup (#15550) @revans2
- Remove conda channel setup from wheel CI image script. (#15539) @bdice
- cudf.pandas: Series dt accessor is CombinedDatetimelikeProperties (#15523) @wence-
- Fix for some compiler warnings in parquet/page_decode.cuh (#15518) @etseidl
- Fix exponent overflow in strings-to-double conversion (#15517) @davidwendt
- nanoarrow uses package override for proper pinned versions generation (#15515) @robertmaynard
- Remove index name overrides in dask-cudf pyarrow table dispatch (#15514) @charlesbluca
- Fix async synchronization issues in json_column.cu (#15497) @karthikeyann
- Add new patch to hide more CCCL APIs (#15493) @vyasr
- Make improvements in pandas-test reporting (#15485) @galipremsagar
- Fixed page data truncation in parquet writer under certain conditions. (#15474) @nvdbaranec
- Only use data_type constructor with scale for decimal types (#15472) @wence-
- Avoid "p2p" shuffle as a default when
dask_cudf
is imported (#15469) @rjzamora - Fix debug build errors from to_arrow_device_test.cpp (#15463) @davidwendt
- Fix base_normalator::integer_sizeof_fn integer dispatch (#15457) @davidwendt
- Allow consumers of static builds to find nanoarrow (#15456) @robertmaynard
- Allow jit compilation when using a splayed CUDA toolkit (#15451) @robertmaynard
- Handle case of scan aggregation in groupby-transform (#15450) @wence-
- Test static builds in CI and fix nanoarrow configure (#15437) @vyasr
- Fixes potential race in JSON parser when parsing JSON lines format and when recovering from invalid lines (#15419) @elstehle
- Fix errors in chunked ORC writer when no tables were (successfully) written (#15393) @vuule
- Support implicit array conversion with query-planning enabled (#15378) @rjzamora
- Fix arrow-based round trip of empty dataframes (#15373) @wence-
- Remove empty elements from exploded character-ngrams output (#15371) @davidwendt
- Remove boundscheck=False setting in cython files (#15362) @wence-
- Patch dask-expr
var
logic in dask-cudf (#15347) @rjzamora - Fix for logical and syntactical errors in libcudf c++ examples (#15346) @mhaseeb123
- Disable dask-expr in docs builds. (#15343) @bdice
- Apply the cuFile error work around to data_sink as well (#15335) @vuule
- Fix parquet predicate filtering with column projection (#15113) @karthikeyann
- Check column type equality, handling nested types correctly. (#14531) @bdice
📖 Documentation
- Fix docs for IO readers and strings_convert (#15842) @bdice
- Update cudf.pandas docs for GA (#15744) @beckernick
- Add contributing warning about circular imports (#15691) @er-eis
- Update libcudf developer guide for strings offsets column (#15661) @davidwendt
- Update developer guide with device_async_resource_ref guidelines (#15562) @harrism
- DOC: add pandas intersphinx mapping (#15531) @raybellwaves
- rm-dup-doc in frame.py (#15530) @raybellwaves
- Update CONTRIBUTING.md to use latest cuda env (#15467) @raybellwaves
- Doc: interleave columns pandas compat (#15383) @raybellwaves
- Simplified README Examples (#15338) @wkaisertexas
- Add debug tips section to libcudf developer guide (#15329) @davidwendt
- Fix and clarify notes on result ordering (#13255) @shwina
🚀 New Features
- Add JNI bindings for zstd compression of NVCOMP. (#15729) @firestarman
- Fix spaces around CSV quoted strings (#15727) @thabetx
- Add default pinned pool that falls back to new pinned allocations (#15665) @vuule
- Overhaul ops-codeowners coverage (#15660) @raydouglass
- Concatenate dictionary of objects along axis=1 (#15623) @er-eis
- Construct
pylibcudf
columns from objects supporting__cuda_array_interface__
(#15615) @brandon-b-miller - Expose some Parquet per-column configuration options via the python API (#15613) @etseidl
- Migrate string
find
operations topylibcudf
(#15604) @brandon-b-miller - Round trip FIXED_LEN_BYTE_ARRAY data properly in Parquet writer (#15600) @etseidl
- Reading multi-line JSON in string columns using runtime configurable delimiter (#15556) @shrshi
- Remove public gtest dependency from libcudf conda package (#15534) @robertmaynard
- Fea/move to latest nanoarrow (#15526) @robertmaynard
- Migrate string
case
operations topylibcudf
(#15489) @brandon-b-miller - Add Parquet encoding statistics to column chunk metadata (#15452) @etseidl
- Implement JNI fo...
[NIGHTLY] v24.08.00
🔗 Links
🚨 Breaking Changes
- Remove
mr
param fromwrite_csv
andwrite_json
(#16231) @JayjeetAtGithub - Refactor from_arrow_device/host to use resource_ref (#16160) @harrism
- Return
FrozenList
forIndex.names
(#16047) @galipremsagar - Add compile option to enable large strings support (#16037) @davidwendt
- Rename strings multiple target replace API (#15898) @davidwendt
- Pinned vector factory that uses the global pool (#15895) @vuule
- Apply clang-tidy autofixes (#15894) @vyasr
- Support
arrow:schema
in Parquet writer to faithfully roundtripduration
types with Arrow (#15875) @mhaseeb123 - Expose stream parameter to public rolling APIs (#15865) @srinivasyadav18
- Fix large strings handling in nvtext::character_tokenize (#15829) @davidwendt
- Remove legacy JSON reader and concurrent_unordered_map.cuh. (#15813) @bdice
🐛 Bug Fixes
- Fix logic in to_arrow for empty list column (#16279) @wence-
- Add custom name setter and getter for proxy objects in
cudf.pandas
(#16234) @Matt711 - Disable large string support for Java build (#16216) @jlowe
- Remove CCCL patch for PR 211. (#16207) @bdice
- Add single offset to an empty ListArray in cudf::to_arrow (#16201) @davidwendt
- Fix
memory_usage
when calculating nested list column (#16193) @mroeschke - Support at/iat indexers in cudf.pandas (#16177) @mroeschke
- Fix unused-return-value debug build error in from_arrow_stream_test.cpp (#16168) @davidwendt
- Fix cudf::strings::replace_multiple hang on empty target (#16167) @davidwendt
- Refactor from_arrow_device/host to use resource_ref (#16160) @harrism
- interpolate returns new column if no values are interpolated (#16158) @mroeschke
- Use provided memory resource for allocating mixed join results. (#16153) @bdice
- Run DFG after verify-alpha-spec (#16151) @KyleFromNVIDIA
- Use size_t to allow large conditional joins (#16127) @bdice
- Allow only scale=0 fixed-point values in fixed_width_column_wrapper (#16120) @davidwendt
- Fix pylibcudf Table.num_rows for 0 columns case and add interop to docs (#16108) @lithomas1
- Add support for proxy
np.flatiter
objects (#16107) @Matt711 - Ensure cudf objects can astype to any type when empty (#16106) @mroeschke
- Support
pd.read_pickle
andpd.to_pickle
incudf.pandas
(#16105) @Matt711 - Fix unnecessarily strict check in parquet chunked reader for choosing split locations. (#16099) @nvdbaranec
- Fix
is_monotonic_*
APIs to includenan's
(#16085) @galipremsagar - More safely parse CUDA versions when subprocess output is contaminated (#16067) @brandon-b-miller
- fast_slow_proxy: Don't import assert_eq at top-level (#16063) @wence-
- Prevent bad ColumnAccessor state after .sort_index(axis=1, ignore_index=True) (#16061) @mroeschke
- Fix ArrowDeviceArray interface to pass address of event (#16058) @zeroshade
- Fix a size overflow bug in hash groupby (#16053) @PointKernel
- Fix
atomic_ref
scope when multiple blocks are updating the same output (#16051) @vuule - Fix initialization error in to_arrow for empty string views (#16033) @wence-
- Fix the int32 overflow when computing page fragment sizes for large string columns (#16028) @mhaseeb123
- Fix the pool size alignment issue (#16024) @PointKernel
- Improve multibyte-split byte-range performance (#16019) @davidwendt
- Fix target counting in strings char-parallel replace (#16017) @davidwendt
- Support IntervalDtype in cudf.from_pandas (#16014) @mroeschke
- Fix memory size in create_byte_range_infos_consecutive (#16012) @davidwendt
- Fix Cython typo preventing proper inheritance (#15978) @vyasr
- Fix convert_dtypes with convert_integer=False/convert_floating=True (#15964) @mroeschke
- Fix nunique for
MultiIndex
,DataFrame
, and all NA case withdropna=False
(#15962) @mroeschke - Explicitly build for all GPU architectures (#15959) @vyasr
- Preserve column type and class information in more DataFrame operations (#15949) @mroeschke
- Add array_interface to cudf.pandas numpy.ndarray proxy (#15936) @mroeschke
- Allow tests to be built when stream util is disabled (#15933) @robertmaynard
- Fix JSON multi-source reading when total source size exceeds
INT_MAX
bytes (#15930) @shrshi - Fix
dask_cudf.read_parquet
regression for legacy timestamp data (#15929) @rjzamora - Fix offsetalator when accessing over 268 million rows (#15921) @davidwendt
- Fix debug assert in rowgroup_char_counts_kernel (#15902) @davidwendt
- Fix categorical conversion from chunked arrow arrays (#15886) @vyasr
- Handling for
NaN
andinf
when converting floating point to fixed point types (#15885) @ttnghia - Manual merge of Branch 24.08 from 24.06 (#15869) @galipremsagar
- Avoid unnecessary
Index
cast inIndexedFrame.index
setter (#15843) @charlesbluca - Fix large strings handling in nvtext::character_tokenize (#15829) @davidwendt
- Fix multi-replace target count logic for large strings (#15807) @davidwendt
- Fix JSON parsing memory corruption - Fix Mixed types nested children removal (#15798) @karthikeyann
- Allow anonymous user in devcontainer name. (#15784) @bdice
- Add support for additional metaclasses of proxies and use for ExcelWriter (#15399) @vyasr
📖 Documentation
- Add docstring for from_dataframe (#16260) @mroeschke
- Update libcudf compiler requirements in contributing doc (#16103) @davidwendt
- Add libcudf public/detail API pattern to developer guide (#16086) @davidwendt
- Explain line profiler and how to know which functions are GPU-accelerated. (#16079) @bdice
- cudf.pandas documentation improvement (#15948) @Matt711
- Reland "Fix docs for IO readers and strings_convert" (#15872)" (#15941) @lithomas1
- Document how to use cudf.pandas in tandem with multiprocessing (#15940) @wence-
- DOC: Add documentation for cudf.pandas in the Developer Guide (#15889) @Matt711
- Improve options docs (#15888) @bdice
- DOC: add linkcode to docs (#15860) @raybellwaves
- Update PandasCompat.py to resolve references (#15704) @raybellwaves
🚀 New Features
- Publish cudf-polars nightlies (#16213) @lithomas1
- Migrate lists/modifying to pylibcudf (#16185) @Matt711
- Add missing methods to lists/list_column_view.pxd in pylibcudf (#16175) @Matt711
- Migrate pylibcudf lists gathering (#16170) @Matt711
- Add groupby_max multi-threaded benchmark (#16154) @srinivasyadav18
- Promote has_nested_columns to cudf public API (#16131) @robertmaynard
- Promote IO support queries to cudf API (#16125) @robertmaynard
- cudf::merge public API now support passing a user stream (#16124) @robertmaynard
- Installed cudf header use cudf::allocate_like (#16087) @robertmaynard
cudf-polars
string slicing (#16082) @brandon-b-miller- Migrate lists/extract to pylibcudf (#16071) @Matt711
- Move common string utilities to public api (#16070) @robertmaynard
- stable_distinct public api now has a stream parameter (#16068) @robertmaynard
- Add support to ArrowDataSource in SourceInfo (#16050) @lithomas1
- Migrate string
slice
APIs topylibcudf
(#15988) @brandon-b-miller - Migrate lists/contains to pylibcudf (#15981) @Matt711
- Remove CCCL 2.2 patches as we now always use 2.5+ (#15969) @robertmaynard
- Migrate JSON reader to pylibcudf (#15966) @lithomas1
- Add a developer check for proxy objects (#15956) @Matt711
- Start migrating I/O writers to pylibcudf (starting with JSON) (#15952) @lithomas1
- Kernel copy for pinned memory (#15934) @vuule
- Migrate left join and conditional join benchmarks to use nvbench (#15931) @srinivasyadav18
- Migrate lists/combine to pylibcudf (#15928) @Matt711
- Plumb pylibcudf strings
contains_re
through cudf_polars (#15918) @brandon-b-miller - Start migrating I/O to pylibcudf (#15899) @lithomas1
- Pinned vector factory that uses the global pool (#15895) @vuule
- Migrate strings
contains
operations topylibcudf
(#15880) @brandon-b-miller - Migrate quantile.pxd to pylibcudf (#15874) @lithomas1
- Migrate round to pylibcudf (#15863) @lithomas1
- Migrate string replace.pxd to pylibcudf (#15839) @lithomas1
- Add an Environment Variable for debugging the fast path in cudf.pandas (#15837) @Matt711
- Add an option to run cuIO benchmarks with pinned buffers as input (#15830) @vuule
- Update
pylibcudf
testing utilities (#15772) @brandon-b-miller - Migrate string
capitalize
APIs topylibcudf
(#15503) @brandon-b-miller - Migrate column factories to pylibcudf (#15257) @brandon-b-miller
- cuDF/libcudf exponentially weighted moving averages (#9027) @brandon-b-miller
🛠️ Improvements
- Introduce version file so we can conditionally handle things in tests (#16280) @wence-
- Type & reduce cupy usage (#16277) @mroeschke
- Replace is_datetime/timedelta_dtype checks with .kind checks (#16262) @mroeschke
- Replace is_bool_type with checking .dtype.kind (#16255) @mroeschke
- remove
cuco_noexcept.diff
(#16254) @trxcllnt - Update contains_tests.cpp to use public cudf::slice (#16253) @davidwendt
- Improve the test data for pylibcudf I/O tests (#16247) @lithomas1
- Make nvcomp adapter compatible with new version macros (#16245) @vuule
- Add Column.strftime/strptime instead of overloading
as_string/datetime/timedelta_column
(#16243) @mroeschke - Remove temporary functor overloads required by cuco version bump (#16242) @PointKernel
- Expose sorted groupby parameters to pylibcudf (#16240) @wence-
- Expose reflection to check if casting between two types is supported (#16239) @wence-
- Handle nans in groupby-aggregations in polars executor (#16233) @wence-
- Remove
mr
param fromwrite_csv
andwrite_json
(#16231) @JayjeetAtGithub - Handler csv reader options in cudf-polars (#16211) @wence-
- Add low memory JSON reader for
cudf.pandas
(#16204) @galipremsagar - Clean up state variables in MultiIndex (#16203) @mroeschke
- skip CMake 3.30.0 (#16202) @jameslamb
- Assert valid metadata is passed in to_arrow for list_view (#16198) ...
v24.04.01
🚨 Breaking Changes
- Restructure pylibcudf/arrow interop facilities (#15325) @vyasr
- Change exceptions thrown by copying APIs (#15319) @vyasr
- Change strings_column_view::char_size to return int64 (#15197) @davidwendt
- Upgrade to
arrow-14.0.2
(#15108) @galipremsagar - Add support for
pandas-2.2
incudf
(#15100) @galipremsagar - Deprecate cudf::hashing::spark_murmurhash3_x86_32 (#15074) @davidwendt
- Align MultiIndex.get_indexder with pandas 2.2 change (#15059) @mroeschke
- Raise an error on import for unsupported GPUs. (#15053) @bdice
- Deprecate datelike isin casting strings to dates to match pandas 2.2 (#15046) @mroeschke
- Align concat Series name behavior in pandas 2.2 (#15032) @mroeschke
- Add
future_stack
toDataFrame.stack
(#15015) @galipremsagar - Deprecate groupby fillna (#15000) @mroeschke
- Deprecate replace with categorical columns (#14988) @mroeschke
- Deprecate delim_whitespace in read_csv for pandas 2.2 (#14986) @mroeschke
- Deprecate parameters similar to pandas 2.2 (#14984) @mroeschke
- Add missing atomic operators, refactor atomic operators, move atomic operators to detail namespace. (#14962) @bdice
- Add
pandas-2.x
support incudf
(#14916) @galipremsagar - Use cuco::static_set in the hash-based groupby (#14813) @PointKernel
🐛 Bug Fixes
- Fix an issue with creating a series from scalar when
dtype='category'
(#15476) @galipremsagar - Update pre-commit-hooks to v0.0.3 (#15355) @KyleFromNVIDIA
- [BUG][JNI] Trigger MemoryBuffer.onClosed after memory is freed (#15351) @abellina
- Fix an issue with multiple short list rowgroups using the Parquet chunked reader. (#15342) @nvdbaranec
- Avoid importing dask-expr if "query-planning" config is
False
(#15340) @rjzamora - Fix gtests/ERROR_TEST errors when run in Debug (#15317) @davidwendt
- Fix OOB read in
inflate_kernel
(#15309) @vuule - Work around a cuFile error when running CSV tests with memcheck (#15293) @vuule
- Fix Doxygen upload directory (#15291) @KyleFromNVIDIA
- Fix Doxygen check (#15289) @KyleFromNVIDIA
- Reintroduce PANDAS_GE_220 import (#15287) @wence-
- Fix mean computation for the geometric distribution in the data generator (#15282) @vuule
- Fix Parquet decimal64 stats (#15281) @etseidl
- Make linking of nvtx3-cpp BUILD_LOCAL_INTERFACE (#15271) @KyleFromNVIDIA
- Workaround compute-sanitizer memcheck bug (#15259) @davidwendt
- Cleanup
hostdevice_vector
and add more APIs (#15252) @ttnghia - Fix number of rows in randomly generated lists columns (#15248) @vuule
- Fix wrong output for
collect_list
/collect_set
of lists column (#15243) @ttnghia - Fix testchunkedPackTwoPasses to copy from the bounce buffer (#15220) @abellina
- Fix accessing
.columns
by an external API (#15212) @galipremsagar - [JNI] Disable testChunkedPackTwoPasses for now (#15210) @abellina
- Update labeler and codeowner configs for CMake files (#15208) @PointKernel
- Avoid dict normalization in
__dask_tokenize__
(#15187) @rjzamora - Fix memcheck error in distinct inner join (#15164) @PointKernel
- Remove unneeded script parameters in test_cpp_memcheck.sh (#15158) @davidwendt
- Fix
ListColumn.to_pandas()
to retainlist
type (#15155) @galipremsagar - Avoid factorization in MultiIndex.to_pandas (#15150) @mroeschke
- Fix GroupBy.get_group and GroupBy.indices (#15143) @wence-
- Remove
const
fromrange_window_bounds::_extent
. (#15138) @mythrocks - DataFrame.columns = ... retains RangeIndex & set dtype (#15129) @mroeschke
- Correctly handle output for
GroupBy.apply
when chunk results are reindexed series (#15109) @brandon-b-miller - Fix Series.groupby.shift with a MultiIndex (#15098) @mroeschke
- Fix reductions when DataFrame has MulitIndex columns (#15097) @mroeschke
- Fix deprecation warnings for deprecated hash() calls (#15095) @davidwendt
- Add support for arrow
large_string
incudf
(#15093) @galipremsagar - Fix
sort_values
pytest failure with pandas-2.x regression (#15092) @galipremsagar - Resolve path parsing issues in
get_json_object
(#15082) @SurajAralihalli - Fix bugs in handling of delta encodings (#15075) @etseidl
- Fix
is_device_write_preferred
invoid_sink
anduser_sink_wrapper
(#15064) @vuule - Eliminate duplicate allocation of nested string columns (#15061) @vuule
- Raise an error on import for unsupported GPUs. (#15053) @bdice
- Align concat Series name behavior in pandas 2.2 (#15032) @mroeschke
- Fix
Index.difference
to handle duplicate values when one of the inputs is empty (#15016) @galipremsagar - Add
future_stack
toDataFrame.stack
(#15015) @galipremsagar - Fix handling of values=None in pylibcudf GroupBy.get_groups (#14998) @shwina
- Fix
DataFrame.sort_index
to respectignore_index
on all axis (#14995) @galipremsagar - Raise for pyarrow array that is tz-aware (#14980) @mroeschke
- Direct
SeriesGroupBy.aggregate
toSeriesGroupBy.agg
(#14971) @rjzamora - Respect IntervalDtype and CategoricalDtype objects passed by users (#14961) @mroeschke
- unset
CUDF_SPILL
after a pytest (#14958) @galipremsagar - Fix Null literals to be not parsed as string when mixed types as string is enabled in JSON reader (#14939) @karthikeyann
- Fix chunked reads of Parquet delta encoded pages (#14921) @etseidl
- Fix reading offset for data stream in ORC reader (#14911) @ttnghia
- Enable sanitizer check for a test case testORCReadAndWriteForDecimal128 (#14897) @res-life
- Fix dask token normalization (#14829) @rjzamora
- Fix 24.04 versions (#14825) @raydouglass
- Ensure slow private attrs are maybe proxies (#14380) @mroeschke
📖 Documentation
- Ignore DLManagedTensor in the docs build (#15392) @davidwendt
- Revert "Temporarily disable docs errors. (#15265)" (#15269) @bdice
- Temporarily disable docs errors. (#15265) @bdice
- Update
developer_guide.md
with new guidance on quoted internal includes (#15238) @harrism - Fix broken link for developer guide (#15025) @sanjana098
- [DOC] Update typo in docs example of structs_column_wrapper (#14949) @karthikeyann
- Update cudf.pandas FAQ. (#14940) @bdice
- Optimize doc builds (#14856) @vyasr
- Add developer guideline to use east const. (#14836) @bdice
- Document how cuDF is pronounced (#14753) @pentschev
- Notes convert to Pandas-compat (#12641) @Touutae-lab
🚀 New Features
- Address inconsistency in single quote normalization in JSON reader (#15324) @shrshi
- Use JNI pinned pool resource with cuIO (#15255) @abellina
- Add DELTA_BYTE_ARRAY encoder for Parquet (#15239) @etseidl
- Migrate filling operations to pylibcudf (#15225) @brandon-b-miller
- [JNI] rmm based pinned pool (#15219) @abellina
- Implement zero-copy host buffer source instead of using an arrow implementation (#15189) @vuule
- Enable creation of columns from scalar (#15181) @vyasr
- Use NVTX from GitHub. (#15178) @bdice
- Implement
segmented_row_bit_count
for computing row sizes by segments of rows (#15169) @ttnghia - Implement search using pylibcudf (#15166) @vyasr
- Add distinct left join (#15149) @PointKernel
- Add cardinality control for groupby benchs with flat types (#15134) @PointKernel
- Add ability to request Parquet encodings on a per-column basis (#15081) @etseidl
- Automate include grouping order in .clang-format (#15063) @harrism
- Requesting a clean build directory also clears Jitify cache (#15052) @robertmaynard
- API for JSON unquoted whitespace normalization (#15033) @shrshi
- Implement concatenate, lists.explode, merge, sorting, and stream compaction in pylibcudf (#15011) @vyasr
- Implement replace in pylibcudf (#15005) @vyasr
- Add distinct key inner join (#14990) @PointKernel
- Implement rolling in pylibcudf (#14982) @vyasr
- Implement joins in pylibcudf (#14972) @vyasr
- Implement scans and reductions in pylibcudf (#14970) @vyasr
- Rewrite cudf internals using pylibcudf groupby (#14946) @vyasr
- Implement groupby in pylibcudf (#14945) @vyasr
- Support casting of Map type to string in JSON reader (#14936) @karthikeyann
- POC for whitespace removal in input JSON data using FST (#14931) @shrshi
- Support for LZ4 compression in ORC and Parquet (#14906) @vuule
- Remove supports_streams from cuDF custom memory resources. (#14857) @harrism
- Migrate unary operations to pylibcudf (#14850) @vyasr
- Migrate binary operations to pylibcudf (#14821) @vyasr
- Add row index and stripe size options to Python ORC chunked writer (#14785) @vuule
- Support CUDA 12.2 (#14712) @jameslamb
🛠️ Improvements
- Backport: Relax protobuf lower bound to 3.20. (#15506) (#15610) @bdice
- Use
conda env create --yes
instead of--force
(#15403) @bdice - Restructure pylibcudf/arrow interop facilities (#15325) @vyasr
- Change exceptions thrown by copying APIs (#15319) @vyasr
- Enable branch testing for
cudf.pandas
(#15316) @galipremsagar - Replace black with ruff-format (#15312) @mroeschke
- This fixes an NPE when trying to read empty JSON data by adding a new API for missing information (#15307) @revans2
- Address poor performance of Parquet string decoding (#15304) @etseidl
- Update script input name (#15301) @AyodeAwe
- Make test_read_parquet_partitioned_filtered data deterministic (#15296) @mroeschke
- Add timeout for
cudf.pandas
pandas tests (#15284) @galipremsagar - Add upper bound to prevent usage of NumPy 2 (#15283) @bdice
- Fix cudf::test::to_host return of host_vector (#15263) @davidwendt
- Implement grouped product scan (#15254) @wence-
- Add CUDA 12.4 to supported PTX versions (#15247) @brandon-b-miller
- Implement DataFrame|Series.squeeze (#15244) @mroeschke
- Roll back ipow changes due to register pressure. (#15242) @pmattione-nvidia
- Remove create_chars_child_column utility (#15241) @davidwendt
- Update dlpack to version 0.8 (#15237) @dantegd
- Improve performance in JSON reader when
mixed_types_as_string
option is enabled (#15236) @shrshi - Remove row conversion code from libcudf (#15234) @ttnghia
- Use variable substitution for RAPIDS version in Doxyfile (#15231) @KyleFromNVIDIA
- Add ListColumns.to_pandas(arrow_type=) (#15228) @mroeSC...
v24.04.00
🚨 Breaking Changes
- Restructure pylibcudf/arrow interop facilities (#15325) @vyasr
- Change exceptions thrown by copying APIs (#15319) @vyasr
- Change strings_column_view::char_size to return int64 (#15197) @davidwendt
- Upgrade to
arrow-14.0.2
(#15108) @galipremsagar - Add support for
pandas-2.2
incudf
(#15100) @galipremsagar - Deprecate cudf::hashing::spark_murmurhash3_x86_32 (#15074) @davidwendt
- Align MultiIndex.get_indexder with pandas 2.2 change (#15059) @mroeschke
- Raise an error on import for unsupported GPUs. (#15053) @bdice
- Deprecate datelike isin casting strings to dates to match pandas 2.2 (#15046) @mroeschke
- Align concat Series name behavior in pandas 2.2 (#15032) @mroeschke
- Add
future_stack
toDataFrame.stack
(#15015) @galipremsagar - Deprecate groupby fillna (#15000) @mroeschke
- Deprecate replace with categorical columns (#14988) @mroeschke
- Deprecate delim_whitespace in read_csv for pandas 2.2 (#14986) @mroeschke
- Deprecate parameters similar to pandas 2.2 (#14984) @mroeschke
- Add missing atomic operators, refactor atomic operators, move atomic operators to detail namespace. (#14962) @bdice
- Add
pandas-2.x
support incudf
(#14916) @galipremsagar - Use cuco::static_set in the hash-based groupby (#14813) @PointKernel
🐛 Bug Fixes
- Fix an issue with creating a series from scalar when
dtype='category'
(#15476) @galipremsagar - Update pre-commit-hooks to v0.0.3 (#15355) @KyleFromNVIDIA
- [BUG][JNI] Trigger MemoryBuffer.onClosed after memory is freed (#15351) @abellina
- Fix an issue with multiple short list rowgroups using the Parquet chunked reader. (#15342) @nvdbaranec
- Avoid importing dask-expr if "query-planning" config is
False
(#15340) @rjzamora - Fix gtests/ERROR_TEST errors when run in Debug (#15317) @davidwendt
- Fix OOB read in
inflate_kernel
(#15309) @vuule - Work around a cuFile error when running CSV tests with memcheck (#15293) @vuule
- Fix Doxygen upload directory (#15291) @KyleFromNVIDIA
- Fix Doxygen check (#15289) @KyleFromNVIDIA
- Reintroduce PANDAS_GE_220 import (#15287) @wence-
- Fix mean computation for the geometric distribution in the data generator (#15282) @vuule
- Fix Parquet decimal64 stats (#15281) @etseidl
- Make linking of nvtx3-cpp BUILD_LOCAL_INTERFACE (#15271) @KyleFromNVIDIA
- Workaround compute-sanitizer memcheck bug (#15259) @davidwendt
- Cleanup
hostdevice_vector
and add more APIs (#15252) @ttnghia - Fix number of rows in randomly generated lists columns (#15248) @vuule
- Fix wrong output for
collect_list
/collect_set
of lists column (#15243) @ttnghia - Fix testchunkedPackTwoPasses to copy from the bounce buffer (#15220) @abellina
- Fix accessing
.columns
by an external API (#15212) @galipremsagar - [JNI] Disable testChunkedPackTwoPasses for now (#15210) @abellina
- Update labeler and codeowner configs for CMake files (#15208) @PointKernel
- Avoid dict normalization in
__dask_tokenize__
(#15187) @rjzamora - Fix memcheck error in distinct inner join (#15164) @PointKernel
- Remove unneeded script parameters in test_cpp_memcheck.sh (#15158) @davidwendt
- Fix
ListColumn.to_pandas()
to retainlist
type (#15155) @galipremsagar - Avoid factorization in MultiIndex.to_pandas (#15150) @mroeschke
- Fix GroupBy.get_group and GroupBy.indices (#15143) @wence-
- Remove
const
fromrange_window_bounds::_extent
. (#15138) @mythrocks - DataFrame.columns = ... retains RangeIndex & set dtype (#15129) @mroeschke
- Correctly handle output for
GroupBy.apply
when chunk results are reindexed series (#15109) @brandon-b-miller - Fix Series.groupby.shift with a MultiIndex (#15098) @mroeschke
- Fix reductions when DataFrame has MulitIndex columns (#15097) @mroeschke
- Fix deprecation warnings for deprecated hash() calls (#15095) @davidwendt
- Add support for arrow
large_string
incudf
(#15093) @galipremsagar - Fix
sort_values
pytest failure with pandas-2.x regression (#15092) @galipremsagar - Resolve path parsing issues in
get_json_object
(#15082) @SurajAralihalli - Fix bugs in handling of delta encodings (#15075) @etseidl
- Fix
is_device_write_preferred
invoid_sink
anduser_sink_wrapper
(#15064) @vuule - Eliminate duplicate allocation of nested string columns (#15061) @vuule
- Raise an error on import for unsupported GPUs. (#15053) @bdice
- Align concat Series name behavior in pandas 2.2 (#15032) @mroeschke
- Fix
Index.difference
to handle duplicate values when one of the inputs is empty (#15016) @galipremsagar - Add
future_stack
toDataFrame.stack
(#15015) @galipremsagar - Fix handling of values=None in pylibcudf GroupBy.get_groups (#14998) @shwina
- Fix
DataFrame.sort_index
to respectignore_index
on all axis (#14995) @galipremsagar - Raise for pyarrow array that is tz-aware (#14980) @mroeschke
- Direct
SeriesGroupBy.aggregate
toSeriesGroupBy.agg
(#14971) @rjzamora - Respect IntervalDtype and CategoricalDtype objects passed by users (#14961) @mroeschke
- unset
CUDF_SPILL
after a pytest (#14958) @galipremsagar - Fix Null literals to be not parsed as string when mixed types as string is enabled in JSON reader (#14939) @karthikeyann
- Fix chunked reads of Parquet delta encoded pages (#14921) @etseidl
- Fix reading offset for data stream in ORC reader (#14911) @ttnghia
- Enable sanitizer check for a test case testORCReadAndWriteForDecimal128 (#14897) @res-life
- Fix dask token normalization (#14829) @rjzamora
- Fix 24.04 versions (#14825) @raydouglass
- Ensure slow private attrs are maybe proxies (#14380) @mroeschke
📖 Documentation
- Ignore DLManagedTensor in the docs build (#15392) @davidwendt
- Revert "Temporarily disable docs errors. (#15265)" (#15269) @bdice
- Temporarily disable docs errors. (#15265) @bdice
- Update
developer_guide.md
with new guidance on quoted internal includes (#15238) @harrism - Fix broken link for developer guide (#15025) @sanjana098
- [DOC] Update typo in docs example of structs_column_wrapper (#14949) @karthikeyann
- Update cudf.pandas FAQ. (#14940) @bdice
- Optimize doc builds (#14856) @vyasr
- Add developer guideline to use east const. (#14836) @bdice
- Document how cuDF is pronounced (#14753) @pentschev
- Notes convert to Pandas-compat (#12641) @Touutae-lab
🚀 New Features
- Address inconsistency in single quote normalization in JSON reader (#15324) @shrshi
- Use JNI pinned pool resource with cuIO (#15255) @abellina
- Add DELTA_BYTE_ARRAY encoder for Parquet (#15239) @etseidl
- Migrate filling operations to pylibcudf (#15225) @brandon-b-miller
- [JNI] rmm based pinned pool (#15219) @abellina
- Implement zero-copy host buffer source instead of using an arrow implementation (#15189) @vuule
- Enable creation of columns from scalar (#15181) @vyasr
- Use NVTX from GitHub. (#15178) @bdice
- Implement
segmented_row_bit_count
for computing row sizes by segments of rows (#15169) @ttnghia - Implement search using pylibcudf (#15166) @vyasr
- Add distinct left join (#15149) @PointKernel
- Add cardinality control for groupby benchs with flat types (#15134) @PointKernel
- Add ability to request Parquet encodings on a per-column basis (#15081) @etseidl
- Automate include grouping order in .clang-format (#15063) @harrism
- Requesting a clean build directory also clears Jitify cache (#15052) @robertmaynard
- API for JSON unquoted whitespace normalization (#15033) @shrshi
- Implement concatenate, lists.explode, merge, sorting, and stream compaction in pylibcudf (#15011) @vyasr
- Implement replace in pylibcudf (#15005) @vyasr
- Add distinct key inner join (#14990) @PointKernel
- Implement rolling in pylibcudf (#14982) @vyasr
- Implement joins in pylibcudf (#14972) @vyasr
- Implement scans and reductions in pylibcudf (#14970) @vyasr
- Rewrite cudf internals using pylibcudf groupby (#14946) @vyasr
- Implement groupby in pylibcudf (#14945) @vyasr
- Support casting of Map type to string in JSON reader (#14936) @karthikeyann
- POC for whitespace removal in input JSON data using FST (#14931) @shrshi
- Support for LZ4 compression in ORC and Parquet (#14906) @vuule
- Remove supports_streams from cuDF custom memory resources. (#14857) @harrism
- Migrate unary operations to pylibcudf (#14850) @vyasr
- Migrate binary operations to pylibcudf (#14821) @vyasr
- Add row index and stripe size options to Python ORC chunked writer (#14785) @vuule
- Support CUDA 12.2 (#14712) @jameslamb
🛠️ Improvements
- Use
conda env create --yes
instead of--force
(#15403) @bdice - Restructure pylibcudf/arrow interop facilities (#15325) @vyasr
- Change exceptions thrown by copying APIs (#15319) @vyasr
- Enable branch testing for
cudf.pandas
(#15316) @galipremsagar - Replace black with ruff-format (#15312) @mroeschke
- This fixes an NPE when trying to read empty JSON data by adding a new API for missing information (#15307) @revans2
- Address poor performance of Parquet string decoding (#15304) @etseidl
- Update script input name (#15301) @AyodeAwe
- Make test_read_parquet_partitioned_filtered data deterministic (#15296) @mroeschke
- Add timeout for
cudf.pandas
pandas tests (#15284) @galipremsagar - Add upper bound to prevent usage of NumPy 2 (#15283) @bdice
- Fix cudf::test::to_host return of host_vector (#15263) @davidwendt
- Implement grouped product scan (#15254) @wence-
- Add CUDA 12.4 to supported PTX versions (#15247) @brandon-b-miller
- Implement DataFrame|Series.squeeze (#15244) @mroeschke
- Roll back ipow changes due to register pressure. (#15242) @pmattione-nvidia
- Remove create_chars_child_column utility (#15241) @davidwendt
- Update dlpack to version 0.8 (#15237) @dantegd
- Improve performance in JSON reader when
mixed_types_as_string
option is enabled (#15236) @shrshi - Remove row conversion code from libcudf (#15234) @ttnghia
- Use variable substitution for RAPIDS version in Doxyfile (#15231) @KyleFromNVIDIA
- Add ListColumns.to_pandas(arrow_type=) (#15228) @mroeschke
- Treat dask-cudf CI artifacts as pure wheels (#15223) @bdice
- Clean...
v24.02.02
🚨 Breaking Changes
- Remove **kwargs from astype (#14765) @mroeschke
- Remove mimesis as a testing dependency (#14723) @mroeschke
- Update to Dask's
shuffle_method
kwarg (#14708) @pentschev - Drop Pascal GPU support. (#14630) @bdice
- Update to CCCL 2.2.0. (#14576) @bdice
- Expunge as_frame conversions in Column algorithms (#14491) @wence-
- Deprecate cudf::make_strings_column accepting typed offsets (#14461) @davidwendt
- Remove deprecated nvtext::load_merge_pairs_file (#14460) @davidwendt
- Include writer code and writerVersion in ORC files (#14458) @vuule
- Remove null mask for zero nulls in json readers (#14451) @karthikeyann
- REF: Remove **kwargs from to_pandas, raise if nullable is not implemented (#14438) @mroeschke
- Consolidate 1D pandas object handling in as_column (#14394) @mroeschke
- Move chars column to parent data buffer in strings column (#14202) @karthikeyann
- Switch to scikit-build-core (#13531) @vyasr
🐛 Bug Fixes
- Bump to nvcomp 3.0.6. (#15128) @bdice
- [HOTFIX] Unpin numba<0.58 (#15031) @raydouglass
- Exclude tests from builds (#14981) @vyasr
- Fix the bounce buffer size in ORC writer (#14947) @vuule
- Revert sum/product aggregation to always produce
int64_t
type (#14907) @SurajAralihalli - Fixed an issue with output chunking computation stemming from input chunking. (#14889) @nvdbaranec
- Fix total_byte_size in Parquet row group metadata (#14802) @etseidl
- Fix index difference to follow the pandas format (#14789) @amiralimi
- Fix shared-workflows repo name (#14784) @raydouglass
- Remove unparseable attributes from all nodes (#14780) @vyasr
- Refactor and add validation to IntervalIndex.init (#14778) @mroeschke
- Work around incompatibilities between V2 page header handling and zStandard compression in Parquet writer (#14772) @etseidl
- Fix calls to deprecated strings factory API (#14771) @davidwendt
- Fix ptx file discovery in editable installs (#14767) @vyasr
- Revise
shuffle
deprecation to align with dask/dask (#14762) @rjzamora - Enable intermediate proxies to be picklable (#14752) @shwina
- Add CUDF_TEST_PROGRAM_MAIN macro to tests lacking it (#14751) @etseidl
- Fix CMake args (#14746) @vyasr
- Fix logic bug introduced in #14730 (#14742) @wence-
- [Java] Choose The Correct RoundingMode For Checking Decimal OutOfBounds (#14731) @razajafri
- Fix
Groupby.get_group
(#14728) @rjzamora - Ensure that all CUDA kernels in cudf have hidden visibility. (#14726) @robertmaynard
- Split cuda versions for notebook testing (#14722) @raydouglass
- Fix to_numeric not preserving Series index and name (#14718) @mroeschke
- Update dask-cudf wheel name (#14713) @raydouglass
- Fix strings::contains matching end of string target (#14711) @davidwendt
- Update to Dask's
shuffle_method
kwarg (#14708) @pentschev - Write file-level statistics when writing ORC files with zero rows (#14707) @vuule
- Potential fix for peformance regression in #14415 (#14706) @etseidl
- Ensure DataFrame column types are preserved during serialization (#14705) @mroeschke
- Skip numba test that fails on ARM (#14702) @brandon-b-miller
- Allow Z in datetime string parsing in non pandas compat mode (#14701) @mroeschke
- Fix nan_as_null not being respected when passing arrow object (#14688) @mroeschke
- Fix constructing Series/Index from arrow array and dtype (#14686) @mroeschke
- Fix Aggregation Type Promotion: Ensure Unsigned Input Types Result in Unsigned Output for Sum and Multiply (#14679) @SurajAralihalli
- Add BaseOffset as a final proxy type to pass instancechecks for offsets against
BaseOffset
(#14678) @shwina - Add row conversion code from spark-rapids-jni (#14664) @ttnghia
- Unconditionally export the CCCL path (#14656) @vyasr
- Ensure libcudf searches for our patched version of CCCL first (#14655) @robertmaynard
- Constrain CUDA in notebook testing to prevent CUDA 12.1 usage until we have pynvjitlink (#14648) @vyasr
- Fix invalid memory access in Parquet reader (#14637) @etseidl
- Use column_empty over as_column([]) (#14632) @mroeschke
- Add (implicit) handling for torch tensors in is_scalar (#14623) @wence-
- Fix astype/fillna not maintaining column subclass and types (#14615) @mroeschke
- Remove non-empty nulls in cudf::get_json_object (#14609) @davidwendt
- Remove
cuda::proclaim_return_type
from nested lambda (#14607) @ttnghia - Fix DataFrame.reindex when column reindexing to MultiIndex/RangeIndex (#14605) @mroeschke
- Address potential race conditions in Parquet reader (#14602) @etseidl
- Fix DataFrame.reindex removing column name (#14601) @mroeschke
- Remove unsanitized input test data from copy gtests (#14600) @davidwendt
- Fix race detected in Parquet writer (#14598) @etseidl
- Correct invalid or missing return types (#14587) @robertmaynard
- Fix unsanitized nulls from strings segmented-reduce (#14586) @davidwendt
- Upgrade to nvCOMP 3.0.5 (#14581) @davidwendt
- Fix unsanitized nulls produced by
cudf::clamp
APIs (#14580) @davidwendt - Fix unsanitized nulls produced by libcudf dictionary decode (#14578) @davidwendt
- Fixes a symbol group lookup table issue (#14561) @elstehle
- Drop llvm16 from cuda118-conda devcontainer image (#14526) @charlesbluca
- REF: Make DataFrame.from_pandas process by column (#14483) @mroeschke
- Improve memory footprint of isin by using contains (#14478) @wence-
- Move creation of env.yaml outside the current directory (#14476) @davidwendt
- Enable
pd.Timestamp
objects to be picklable whencudf.pandas
is active (#14474) @shwina - Correct dtype of count aggregations on empty dataframes (#14473) @wence-
- Avoid DataFrame conversion in
MultiIndex.from_pandas
(#14470) @mroeschke - JSON writer: avoid default stream use in
string_scalar
constructors (#14444) @vuule - Fix default stream use in the CSV reader (#14443) @vuule
- Preserve DataFrame(columns=).columns dtype during empty-like construction (#14381) @mroeschke
- Defer PTX file load to runtime (#13690) @brandon-b-miller
📖 Documentation
- Disable parallel build (#14796) @vyasr
- Add pylibcudf to the docs (#14791) @vyasr
- Describe unpickling expectations when cudf.pandas is enabled (#14693) @shwina
- Update CONTRIBUTING for pyproject-only builds (#14653) @vyasr
- More doxygen fixes (#14639) @vyasr
- Enable doxygen XML generation and fix issues (#14477) @vyasr
- Some doxygen improvements (#14469) @vyasr
- Remove warning in dask-cudf docs (#14454) @wence-
- Update README links with redirects. (#14378) @bdice
- Add pip install instructions to README (#13677) @shwina
🚀 New Features
- Add ci check for external kernels (#14768) @robertmaynard
- JSON single quote normalization API (#14729) @shrshi
- Write cuDF version in Parquet "created_by" metadata field (#14721) @etseidl
- Implement remaining copying APIs in pylibcudf along with required helper functions (#14640) @vyasr
- Don't constrain
numba<0.58
(#14616) @brandon-b-miller - Add DELTA_LENGTH_BYTE_ARRAY encoder and decoder for Parquet (#14590) @etseidl
- JSON - Parse mixed types as string in JSON reader (#14572) @karthikeyann
- JSON quote normalization (#14545) @shrshi
- Make DefaultHostMemoryAllocator settable (#14523) @gerashegalov
- Implement more copying APIs in pylibcudf (#14508) @vyasr
- Include writer code and writerVersion in ORC files (#14458) @vuule
- Parquet sub-rowgroup reading. (#14360) @nvdbaranec
- Move chars column to parent data buffer in strings column (#14202) @karthikeyann
- PARQUET-2261 Size Statistics (#14000) @etseidl
- Improve GroupBy JIT error handling (#13854) @brandon-b-miller
- Generate unified Python/C++ docs (#13846) @vyasr
- Expand JIT groupby test suite (#13813) @brandon-b-miller
🛠️ Improvements
- Pin
pytest<8
(#14920) @galipremsagar - Move cudf::char_utf8 definition from detail to public header (#14779) @davidwendt
- Clean up
TimedeltaIndex.__init__
constructor (#14775) @mroeschke - Clean up
DatetimeIndex.__init__
constructor (#14774) @mroeschke - Some
frame.py
typing, move seldom used methods inframe.py
(#14766) @mroeschke - Remove **kwargs from astype (#14765) @mroeschke
- fix benchmarks compatibility with newer pytest-cases (#14764) @jameslamb
- Add
pynvjitlink
as a dependency (#14763) @brandon-b-miller - Resolve degenerate performance in
create_structs_data
(#14761) @SurajAralihalli - Simplify ColumnAccessor methods; avoid unnecessary validations (#14758) @mroeschke
- Pin pytest-cases<3.8.2 (#14756) @mroeschke
- Use _from_data instead of _from_columns for initialzing Frame (#14755) @mroeschke
- Consolidate cudf object handling in as_column (#14754) @mroeschke
- Reduce execution time of Parquet C++ tests (#14750) @vuule
- Implement to_datetime(..., utc=True) (#14749) @mroeschke
- Remove usages of rapids-env-update (#14748) @KyleFromNVIDIA
- Provide explicit pool size and avoid RMM detail APIs (#14741) @harrism
- Implement
cudf.MultiIndex.from_arrays
(#14740) @mroeschke - Remove unused/single use methods (#14739) @mroeschke
- refactor CUDA versions in dependencies.yaml (#14733) @jameslamb
- Remove unneeded methods in Column (#14730) @mroeschke
- Clean up base column methods (#14725) @mroeschke
- Ensure column.fillna signatures are consistent (#14724) @mroeschke
- Remove mimesis as a testing dependency (#14723) @mroeschke
- Replace as_numerical with as_numerical_column/codes (#14719) @mroeschke
- Use offsetalator in gather_chars (#14700) @davidwendt
- Use make_strings_children for fill() specialization logic (#14697) @davidwendt
- Change
io::detail::orc
namespace intoio::orc::detail
(#14696) @ttnghia - Fix call to deprecated factory function (#14695) @davidwendt
- Use as_column instead of arange for range like inputs (#14689) @mroeschke
- Reorganize ORC reader into multiple files and perform some small fixes to cuIO code (#14665) @ttnghia
- Split parquet test into multiple files (#14663) @etseidl
- Custom error messages for IO with nonexistent files (#14662) @vuule
- Explicitly pass .dtype into is_foo_dtype functions (#14657) @mroeschke
- Basic val...
v24.02.01
🚨 Breaking Changes
- Remove **kwargs from astype (#14765) @mroeschke
- Remove mimesis as a testing dependency (#14723) @mroeschke
- Update to Dask's
shuffle_method
kwarg (#14708) @pentschev - Drop Pascal GPU support. (#14630) @bdice
- Update to CCCL 2.2.0. (#14576) @bdice
- Expunge as_frame conversions in Column algorithms (#14491) @wence-
- Deprecate cudf::make_strings_column accepting typed offsets (#14461) @davidwendt
- Remove deprecated nvtext::load_merge_pairs_file (#14460) @davidwendt
- Include writer code and writerVersion in ORC files (#14458) @vuule
- Remove null mask for zero nulls in json readers (#14451) @karthikeyann
- REF: Remove **kwargs from to_pandas, raise if nullable is not implemented (#14438) @mroeschke
- Consolidate 1D pandas object handling in as_column (#14394) @mroeschke
- Move chars column to parent data buffer in strings column (#14202) @karthikeyann
- Switch to scikit-build-core (#13531) @vyasr
🐛 Bug Fixes
- [HOTFIX] Unpin numba<0.58 (#15031) @raydouglass
- Exclude tests from builds (#14981) @vyasr
- Fix the bounce buffer size in ORC writer (#14947) @vuule
- Revert sum/product aggregation to always produce
int64_t
type (#14907) @SurajAralihalli - Fixed an issue with output chunking computation stemming from input chunking. (#14889) @nvdbaranec
- Fix total_byte_size in Parquet row group metadata (#14802) @etseidl
- Fix index difference to follow the pandas format (#14789) @amiralimi
- Fix shared-workflows repo name (#14784) @raydouglass
- Remove unparseable attributes from all nodes (#14780) @vyasr
- Refactor and add validation to IntervalIndex.init (#14778) @mroeschke
- Work around incompatibilities between V2 page header handling and zStandard compression in Parquet writer (#14772) @etseidl
- Fix calls to deprecated strings factory API (#14771) @davidwendt
- Fix ptx file discovery in editable installs (#14767) @vyasr
- Revise
shuffle
deprecation to align with dask/dask (#14762) @rjzamora - Enable intermediate proxies to be picklable (#14752) @shwina
- Add CUDF_TEST_PROGRAM_MAIN macro to tests lacking it (#14751) @etseidl
- Fix CMake args (#14746) @vyasr
- Fix logic bug introduced in #14730 (#14742) @wence-
- [Java] Choose The Correct RoundingMode For Checking Decimal OutOfBounds (#14731) @razajafri
- Fix
Groupby.get_group
(#14728) @rjzamora - Ensure that all CUDA kernels in cudf have hidden visibility. (#14726) @robertmaynard
- Split cuda versions for notebook testing (#14722) @raydouglass
- Fix to_numeric not preserving Series index and name (#14718) @mroeschke
- Update dask-cudf wheel name (#14713) @raydouglass
- Fix strings::contains matching end of string target (#14711) @davidwendt
- Update to Dask's
shuffle_method
kwarg (#14708) @pentschev - Write file-level statistics when writing ORC files with zero rows (#14707) @vuule
- Potential fix for peformance regression in #14415 (#14706) @etseidl
- Ensure DataFrame column types are preserved during serialization (#14705) @mroeschke
- Skip numba test that fails on ARM (#14702) @brandon-b-miller
- Allow Z in datetime string parsing in non pandas compat mode (#14701) @mroeschke
- Fix nan_as_null not being respected when passing arrow object (#14688) @mroeschke
- Fix constructing Series/Index from arrow array and dtype (#14686) @mroeschke
- Fix Aggregation Type Promotion: Ensure Unsigned Input Types Result in Unsigned Output for Sum and Multiply (#14679) @SurajAralihalli
- Add BaseOffset as a final proxy type to pass instancechecks for offsets against
BaseOffset
(#14678) @shwina - Add row conversion code from spark-rapids-jni (#14664) @ttnghia
- Unconditionally export the CCCL path (#14656) @vyasr
- Ensure libcudf searches for our patched version of CCCL first (#14655) @robertmaynard
- Constrain CUDA in notebook testing to prevent CUDA 12.1 usage until we have pynvjitlink (#14648) @vyasr
- Fix invalid memory access in Parquet reader (#14637) @etseidl
- Use column_empty over as_column([]) (#14632) @mroeschke
- Add (implicit) handling for torch tensors in is_scalar (#14623) @wence-
- Fix astype/fillna not maintaining column subclass and types (#14615) @mroeschke
- Remove non-empty nulls in cudf::get_json_object (#14609) @davidwendt
- Remove
cuda::proclaim_return_type
from nested lambda (#14607) @ttnghia - Fix DataFrame.reindex when column reindexing to MultiIndex/RangeIndex (#14605) @mroeschke
- Address potential race conditions in Parquet reader (#14602) @etseidl
- Fix DataFrame.reindex removing column name (#14601) @mroeschke
- Remove unsanitized input test data from copy gtests (#14600) @davidwendt
- Fix race detected in Parquet writer (#14598) @etseidl
- Correct invalid or missing return types (#14587) @robertmaynard
- Fix unsanitized nulls from strings segmented-reduce (#14586) @davidwendt
- Upgrade to nvCOMP 3.0.5 (#14581) @davidwendt
- Fix unsanitized nulls produced by
cudf::clamp
APIs (#14580) @davidwendt - Fix unsanitized nulls produced by libcudf dictionary decode (#14578) @davidwendt
- Fixes a symbol group lookup table issue (#14561) @elstehle
- Drop llvm16 from cuda118-conda devcontainer image (#14526) @charlesbluca
- REF: Make DataFrame.from_pandas process by column (#14483) @mroeschke
- Improve memory footprint of isin by using contains (#14478) @wence-
- Move creation of env.yaml outside the current directory (#14476) @davidwendt
- Enable
pd.Timestamp
objects to be picklable whencudf.pandas
is active (#14474) @shwina - Correct dtype of count aggregations on empty dataframes (#14473) @wence-
- Avoid DataFrame conversion in
MultiIndex.from_pandas
(#14470) @mroeschke - JSON writer: avoid default stream use in
string_scalar
constructors (#14444) @vuule - Fix default stream use in the CSV reader (#14443) @vuule
- Preserve DataFrame(columns=).columns dtype during empty-like construction (#14381) @mroeschke
- Defer PTX file load to runtime (#13690) @brandon-b-miller
📖 Documentation
- Disable parallel build (#14796) @vyasr
- Add pylibcudf to the docs (#14791) @vyasr
- Describe unpickling expectations when cudf.pandas is enabled (#14693) @shwina
- Update CONTRIBUTING for pyproject-only builds (#14653) @vyasr
- More doxygen fixes (#14639) @vyasr
- Enable doxygen XML generation and fix issues (#14477) @vyasr
- Some doxygen improvements (#14469) @vyasr
- Remove warning in dask-cudf docs (#14454) @wence-
- Update README links with redirects. (#14378) @bdice
- Add pip install instructions to README (#13677) @shwina
🚀 New Features
- Add ci check for external kernels (#14768) @robertmaynard
- JSON single quote normalization API (#14729) @shrshi
- Write cuDF version in Parquet "created_by" metadata field (#14721) @etseidl
- Implement remaining copying APIs in pylibcudf along with required helper functions (#14640) @vyasr
- Don't constrain
numba<0.58
(#14616) @brandon-b-miller - Add DELTA_LENGTH_BYTE_ARRAY encoder and decoder for Parquet (#14590) @etseidl
- JSON - Parse mixed types as string in JSON reader (#14572) @karthikeyann
- JSON quote normalization (#14545) @shrshi
- Make DefaultHostMemoryAllocator settable (#14523) @gerashegalov
- Implement more copying APIs in pylibcudf (#14508) @vyasr
- Include writer code and writerVersion in ORC files (#14458) @vuule
- Parquet sub-rowgroup reading. (#14360) @nvdbaranec
- Move chars column to parent data buffer in strings column (#14202) @karthikeyann
- PARQUET-2261 Size Statistics (#14000) @etseidl
- Improve GroupBy JIT error handling (#13854) @brandon-b-miller
- Generate unified Python/C++ docs (#13846) @vyasr
- Expand JIT groupby test suite (#13813) @brandon-b-miller
🛠️ Improvements
- Pin
pytest<8
(#14920) @galipremsagar - Move cudf::char_utf8 definition from detail to public header (#14779) @davidwendt
- Clean up
TimedeltaIndex.__init__
constructor (#14775) @mroeschke - Clean up
DatetimeIndex.__init__
constructor (#14774) @mroeschke - Some
frame.py
typing, move seldom used methods inframe.py
(#14766) @mroeschke - Remove **kwargs from astype (#14765) @mroeschke
- fix benchmarks compatibility with newer pytest-cases (#14764) @jameslamb
- Add
pynvjitlink
as a dependency (#14763) @brandon-b-miller - Resolve degenerate performance in
create_structs_data
(#14761) @SurajAralihalli - Simplify ColumnAccessor methods; avoid unnecessary validations (#14758) @mroeschke
- Pin pytest-cases<3.8.2 (#14756) @mroeschke
- Use _from_data instead of _from_columns for initialzing Frame (#14755) @mroeschke
- Consolidate cudf object handling in as_column (#14754) @mroeschke
- Reduce execution time of Parquet C++ tests (#14750) @vuule
- Implement to_datetime(..., utc=True) (#14749) @mroeschke
- Remove usages of rapids-env-update (#14748) @KyleFromNVIDIA
- Provide explicit pool size and avoid RMM detail APIs (#14741) @harrism
- Implement
cudf.MultiIndex.from_arrays
(#14740) @mroeschke - Remove unused/single use methods (#14739) @mroeschke
- refactor CUDA versions in dependencies.yaml (#14733) @jameslamb
- Remove unneeded methods in Column (#14730) @mroeschke
- Clean up base column methods (#14725) @mroeschke
- Ensure column.fillna signatures are consistent (#14724) @mroeschke
- Remove mimesis as a testing dependency (#14723) @mroeschke
- Replace as_numerical with as_numerical_column/codes (#14719) @mroeschke
- Use offsetalator in gather_chars (#14700) @davidwendt
- Use make_strings_children for fill() specialization logic (#14697) @davidwendt
- Change
io::detail::orc
namespace intoio::orc::detail
(#14696) @ttnghia - Fix call to deprecated factory function (#14695) @davidwendt
- Use as_column instead of arange for range like inputs (#14689) @mroeschke
- Reorganize ORC reader into multiple files and perform some small fixes to cuIO code (#14665) @ttnghia
- Split parquet test into multiple files (#14663) @etseidl
- Custom error messages for IO with nonexistent files (#14662) @vuule
- Explicitly pass .dtype into is_foo_dtype functions (#14657) @mroeschke
- Basic validation in reader benchmarks (#14647) @v...
v24.02.00
🚨 Breaking Changes
- Remove **kwargs from astype (#14765) @mroeschke
- Remove mimesis as a testing dependency (#14723) @mroeschke
- Update to Dask's
shuffle_method
kwarg (#14708) @pentschev - Drop Pascal GPU support. (#14630) @bdice
- Update to CCCL 2.2.0. (#14576) @bdice
- Expunge as_frame conversions in Column algorithms (#14491) @wence-
- Deprecate cudf::make_strings_column accepting typed offsets (#14461) @davidwendt
- Remove deprecated nvtext::load_merge_pairs_file (#14460) @davidwendt
- Include writer code and writerVersion in ORC files (#14458) @vuule
- Remove null mask for zero nulls in json readers (#14451) @karthikeyann
- REF: Remove **kwargs from to_pandas, raise if nullable is not implemented (#14438) @mroeschke
- Consolidate 1D pandas object handling in as_column (#14394) @mroeschke
- Move chars column to parent data buffer in strings column (#14202) @karthikeyann
- Switch to scikit-build-core (#13531) @vyasr
🐛 Bug Fixes
- Exclude tests from builds (#14981) @vyasr
- Fix the bounce buffer size in ORC writer (#14947) @vuule
- Revert sum/product aggregation to always produce
int64_t
type (#14907) @SurajAralihalli - Fixed an issue with output chunking computation stemming from input chunking. (#14889) @nvdbaranec
- Fix total_byte_size in Parquet row group metadata (#14802) @etseidl
- Fix index difference to follow the pandas format (#14789) @amiralimi
- Fix shared-workflows repo name (#14784) @raydouglass
- Remove unparseable attributes from all nodes (#14780) @vyasr
- Refactor and add validation to IntervalIndex.init (#14778) @mroeschke
- Work around incompatibilities between V2 page header handling and zStandard compression in Parquet writer (#14772) @etseidl
- Fix calls to deprecated strings factory API (#14771) @davidwendt
- Fix ptx file discovery in editable installs (#14767) @vyasr
- Revise
shuffle
deprecation to align with dask/dask (#14762) @rjzamora - Enable intermediate proxies to be picklable (#14752) @shwina
- Add CUDF_TEST_PROGRAM_MAIN macro to tests lacking it (#14751) @etseidl
- Fix CMake args (#14746) @vyasr
- Fix logic bug introduced in #14730 (#14742) @wence-
- [Java] Choose The Correct RoundingMode For Checking Decimal OutOfBounds (#14731) @razajafri
- Fix
Groupby.get_group
(#14728) @rjzamora - Ensure that all CUDA kernels in cudf have hidden visibility. (#14726) @robertmaynard
- Split cuda versions for notebook testing (#14722) @raydouglass
- Fix to_numeric not preserving Series index and name (#14718) @mroeschke
- Update dask-cudf wheel name (#14713) @raydouglass
- Fix strings::contains matching end of string target (#14711) @davidwendt
- Update to Dask's
shuffle_method
kwarg (#14708) @pentschev - Write file-level statistics when writing ORC files with zero rows (#14707) @vuule
- Potential fix for peformance regression in #14415 (#14706) @etseidl
- Ensure DataFrame column types are preserved during serialization (#14705) @mroeschke
- Skip numba test that fails on ARM (#14702) @brandon-b-miller
- Allow Z in datetime string parsing in non pandas compat mode (#14701) @mroeschke
- Fix nan_as_null not being respected when passing arrow object (#14688) @mroeschke
- Fix constructing Series/Index from arrow array and dtype (#14686) @mroeschke
- Fix Aggregation Type Promotion: Ensure Unsigned Input Types Result in Unsigned Output for Sum and Multiply (#14679) @SurajAralihalli
- Add BaseOffset as a final proxy type to pass instancechecks for offsets against
BaseOffset
(#14678) @shwina - Add row conversion code from spark-rapids-jni (#14664) @ttnghia
- Unconditionally export the CCCL path (#14656) @vyasr
- Ensure libcudf searches for our patched version of CCCL first (#14655) @robertmaynard
- Constrain CUDA in notebook testing to prevent CUDA 12.1 usage until we have pynvjitlink (#14648) @vyasr
- Fix invalid memory access in Parquet reader (#14637) @etseidl
- Use column_empty over as_column([]) (#14632) @mroeschke
- Add (implicit) handling for torch tensors in is_scalar (#14623) @wence-
- Fix astype/fillna not maintaining column subclass and types (#14615) @mroeschke
- Remove non-empty nulls in cudf::get_json_object (#14609) @davidwendt
- Remove
cuda::proclaim_return_type
from nested lambda (#14607) @ttnghia - Fix DataFrame.reindex when column reindexing to MultiIndex/RangeIndex (#14605) @mroeschke
- Address potential race conditions in Parquet reader (#14602) @etseidl
- Fix DataFrame.reindex removing column name (#14601) @mroeschke
- Remove unsanitized input test data from copy gtests (#14600) @davidwendt
- Fix race detected in Parquet writer (#14598) @etseidl
- Correct invalid or missing return types (#14587) @robertmaynard
- Fix unsanitized nulls from strings segmented-reduce (#14586) @davidwendt
- Upgrade to nvCOMP 3.0.5 (#14581) @davidwendt
- Fix unsanitized nulls produced by
cudf::clamp
APIs (#14580) @davidwendt - Fix unsanitized nulls produced by libcudf dictionary decode (#14578) @davidwendt
- Fixes a symbol group lookup table issue (#14561) @elstehle
- Drop llvm16 from cuda118-conda devcontainer image (#14526) @charlesbluca
- REF: Make DataFrame.from_pandas process by column (#14483) @mroeschke
- Improve memory footprint of isin by using contains (#14478) @wence-
- Move creation of env.yaml outside the current directory (#14476) @davidwendt
- Enable
pd.Timestamp
objects to be picklable whencudf.pandas
is active (#14474) @shwina - Correct dtype of count aggregations on empty dataframes (#14473) @wence-
- Avoid DataFrame conversion in
MultiIndex.from_pandas
(#14470) @mroeschke - JSON writer: avoid default stream use in
string_scalar
constructors (#14444) @vuule - Fix default stream use in the CSV reader (#14443) @vuule
- Preserve DataFrame(columns=).columns dtype during empty-like construction (#14381) @mroeschke
- Defer PTX file load to runtime (#13690) @brandon-b-miller
📖 Documentation
- Disable parallel build (#14796) @vyasr
- Add pylibcudf to the docs (#14791) @vyasr
- Describe unpickling expectations when cudf.pandas is enabled (#14693) @shwina
- Update CONTRIBUTING for pyproject-only builds (#14653) @vyasr
- More doxygen fixes (#14639) @vyasr
- Enable doxygen XML generation and fix issues (#14477) @vyasr
- Some doxygen improvements (#14469) @vyasr
- Remove warning in dask-cudf docs (#14454) @wence-
- Update README links with redirects. (#14378) @bdice
- Add pip install instructions to README (#13677) @shwina
🚀 New Features
- Add ci check for external kernels (#14768) @robertmaynard
- JSON single quote normalization API (#14729) @shrshi
- Write cuDF version in Parquet "created_by" metadata field (#14721) @etseidl
- Implement remaining copying APIs in pylibcudf along with required helper functions (#14640) @vyasr
- Don't constrain
numba<0.58
(#14616) @brandon-b-miller - Add DELTA_LENGTH_BYTE_ARRAY encoder and decoder for Parquet (#14590) @etseidl
- JSON - Parse mixed types as string in JSON reader (#14572) @karthikeyann
- JSON quote normalization (#14545) @shrshi
- Make DefaultHostMemoryAllocator settable (#14523) @gerashegalov
- Implement more copying APIs in pylibcudf (#14508) @vyasr
- Include writer code and writerVersion in ORC files (#14458) @vuule
- Parquet sub-rowgroup reading. (#14360) @nvdbaranec
- Move chars column to parent data buffer in strings column (#14202) @karthikeyann
- PARQUET-2261 Size Statistics (#14000) @etseidl
- Improve GroupBy JIT error handling (#13854) @brandon-b-miller
- Generate unified Python/C++ docs (#13846) @vyasr
- Expand JIT groupby test suite (#13813) @brandon-b-miller
🛠️ Improvements
- Pin
pytest<8
(#14920) @galipremsagar - Move cudf::char_utf8 definition from detail to public header (#14779) @davidwendt
- Clean up
TimedeltaIndex.__init__
constructor (#14775) @mroeschke - Clean up
DatetimeIndex.__init__
constructor (#14774) @mroeschke - Some
frame.py
typing, move seldom used methods inframe.py
(#14766) @mroeschke - Remove **kwargs from astype (#14765) @mroeschke
- fix benchmarks compatibility with newer pytest-cases (#14764) @jameslamb
- Add
pynvjitlink
as a dependency (#14763) @brandon-b-miller - Resolve degenerate performance in
create_structs_data
(#14761) @SurajAralihalli - Simplify ColumnAccessor methods; avoid unnecessary validations (#14758) @mroeschke
- Pin pytest-cases<3.8.2 (#14756) @mroeschke
- Use _from_data instead of _from_columns for initialzing Frame (#14755) @mroeschke
- Consolidate cudf object handling in as_column (#14754) @mroeschke
- Reduce execution time of Parquet C++ tests (#14750) @vuule
- Implement to_datetime(..., utc=True) (#14749) @mroeschke
- Remove usages of rapids-env-update (#14748) @KyleFromNVIDIA
- Provide explicit pool size and avoid RMM detail APIs (#14741) @harrism
- Implement
cudf.MultiIndex.from_arrays
(#14740) @mroeschke - Remove unused/single use methods (#14739) @mroeschke
- refactor CUDA versions in dependencies.yaml (#14733) @jameslamb
- Remove unneeded methods in Column (#14730) @mroeschke
- Clean up base column methods (#14725) @mroeschke
- Ensure column.fillna signatures are consistent (#14724) @mroeschke
- Remove mimesis as a testing dependency (#14723) @mroeschke
- Replace as_numerical with as_numerical_column/codes (#14719) @mroeschke
- Use offsetalator in gather_chars (#14700) @davidwendt
- Use make_strings_children for fill() specialization logic (#14697) @davidwendt
- Change
io::detail::orc
namespace intoio::orc::detail
(#14696) @ttnghia - Fix call to deprecated factory function (#14695) @davidwendt
- Use as_column instead of arange for range like inputs (#14689) @mroeschke
- Reorganize ORC reader into multiple files and perform some small fixes to cuIO code (#14665) @ttnghia
- Split parquet test into multiple files (#14663) @etseidl
- Custom error messages for IO with nonexistent files (#14662) @vuule
- Explicitly pass .dtype into is_foo_dtype functions (#14657) @mroeschke
- Basic validation in reader benchmarks (#14647) @vuule
- Update dependencies.yaml to support CUDA 12.*....
v23.12.01
🚨 Breaking Changes
- Raise error in
reindex
whenindex
is not unique (#14400) @galipremsagar - Expose stream parameter to get_json_object API (#14297) @davidwendt
- Refactor cudf_kafka to use skbuild (#14292) @jdye64
- Expose stream parameter in public strings convert APIs (#14255) @davidwendt
- Upgrade to nvCOMP 3.0.4 (#13815) @vuule
🐛 Bug Fixes
- Fix synchronization issue when writing string columns with dictionary to ORC (#14595) @vuule
- Update actions/labeler to v4 (#14562) @raydouglass
- Fix data corruption when skipping rows (#14557) @etseidl
- Fix function name typo in
cudf.pandas
profiler (#14514) @galipremsagar - Fix intermediate type checking in expression parsing (#14445) @vyasr
- Forward merge
branch-23.10
intobranch-23.12
(#14435) @raydouglass - Remove needs: wheel-build-cudf. (#14427) @bdice
- Fix dask dependency in custreamz (#14420) @vyasr
- Ensure nvbench initializes nvml context when built statically (#14411) @robertmaynard
- Support java AST String literal with desired encoding (#14402) @winningsix
- Raise error in
reindex
whenindex
is not unique (#14400) @galipremsagar - Always build nvbench statically so we don't need to package it (#14399) @robertmaynard
- Fix token-count logic in nvtext::tokenize_with_vocabulary (#14393) @davidwendt
- Fix as_column(pd.Timestamp/Timedelta, length=) not respecting length (#14390) @mroeschke
- cudf.pandas: cuDF subpath checking in module
__getattr__
(#14388) @shwina - Fix and disable encoding for nanosecond statistics in ORC writer (#14367) @vuule
- Add the new manylinux builds to the build job (#14351) @vyasr
- cudf jit parser now supports .pragma instructions with quotes (#14348) @robertmaynard
- Fix overflow check in
cudf::merge
(#14345) @divyegala - Add cramjam (#14344) @vyasr
- Enable
dask_cudf/io
pytests in CI (#14338) @galipremsagar - Temporarily avoid the current build of pydata-sphinx-theme (#14332) @vyasr
- Fix host buffer access from device function in the Parquet reader (#14328) @vuule
- Run IO tests for Dask-cuDF (#14327) @rjzamora
- Fix logical type issues in the Parquet writer (#14322) @vuule
- Remove aws-sdk-pinning and revert to arrow 12.0.1 (#14319) @vyasr
- test is_valid before reading column data (#14318) @etseidl
- Fix gtest validity setting for TextTokenizeTest.Vocabulary (#14312) @davidwendt
- Fixes stack context for json lines format that recovers from invalid JSON lines (#14309) @elstehle
- Downgrade to Arrow 12.0.0 for aws-sdk-cpp and fix cudf_kafka builds for new CI containers (#14296) @vyasr
- fixing thread index overflow issue (#14290) @hyperbolic2346
- Fix memset error in nvtext::edit_distance_matrix (#14283) @davidwendt
- Changes JSON reader's recovery option's behaviour to ignore all characters after a valid JSON record (#14279) @elstehle
- Handle empty string correctly in Parquet statistics (#14257) @etseidl
- Fixes behaviour for incomplete lines when
recover_with_nulls
is enabled (#14252) @elstehle - cudf::detail::pinned_allocator doesn't throw from
deallocate
(#14251) @robertmaynard - Fix strings replace for adjacent, identical multi-byte UTF-8 character targets (#14235) @davidwendt
- Fix the precision when converting a decimal128 column to an arrow array (#14230) @jihoonson
- Fixing parquet list of struct interpretation (#13715) @hyperbolic2346
📖 Documentation
- Fix io reference in docs. (#14452) @bdice
- Update README (#14374) @shwina
- Example code for blog on new row comparators (#13795) @divyegala
🚀 New Features
- Expose streams in public unary APIs (#14342) @vyasr
- Add python tests for Parquet DELTA_BINARY_PACKED encoder (#14316) @etseidl
- Update rapids-cmake functions to non-deprecated signatures (#14265) @robertmaynard
- Expose streams in public null mask APIs (#14263) @vyasr
- Expose streams in binaryop APIs (#14187) @vyasr
- Add pylibcudf.Scalar that interoperates with Arrow scalars (#14133) @vyasr
- Add decoder for DELTA_BYTE_ARRAY to Parquet reader (#14101) @etseidl
- Add DELTA_BINARY_PACKED encoder for Parquet writer (#14100) @etseidl
- Add BytePairEncoder class to cuDF (#13891) @davidwendt
- Upgrade to nvCOMP 3.0.4 (#13815) @vuule
- Use
pynvjitlink
for CUDA 12+ MVC (#13650) @brandon-b-miller
🛠️ Improvements
- Build concurrency for nightly and merge triggers (#14441) @bdice
- Cleanup remaining usages of dask dependencies (#14407) @galipremsagar
- Update to Arrow 14.0.1. (#14387) @bdice
- Remove Cython libcpp wrappers (#14382) @vyasr
- Forward-merge branch-23.10 to branch-23.12 (#14372) @bdice
- Upgrade to arrow 14 (#14371) @galipremsagar
- Fix a pytest typo in
test_kurt_skew_error
(#14368) @galipremsagar - Use new rapids-dask-dependency metapackage for managing dask versions (#14364) @vyasr
- Change
nullable()
tohas_nulls()
incudf::detail::gather
(#14363) @divyegala - Split up scan_inclusive.cu to improve its compile time (#14358) @davidwendt
- Implement user_datasource_wrapper is_empty() and is_device_read_preferred(). (#14357) @tpn
- Added streams to CSV reader and writer api (#14340) @shrshi
- Upgrade wheels to use arrow 13 (#14339) @vyasr
- Rework nvtext::byte_pair_encoding API (#14337) @davidwendt
- Improve performance of nvtext::tokenize_with_vocabulary for long strings (#14336) @davidwendt
- Upgrade
arrow
to13
(#14330) @galipremsagar - Expose stream parameter in public nvtext replace APIs (#14329) @davidwendt
- Drop
pyorc
dependency and usepandas
/pyarrow
instead (#14323) @galipremsagar - Avoid
pyarrow.fs
import for local storage (#14321) @rjzamora - Unpin
dask
anddistributed
for23.12
development (#14320) @galipremsagar - Expose stream parameter in public nvtext tokenize APIs (#14317) @davidwendt
- Added streams to JSON reader and writer api (#14313) @shrshi
- Minor improvements in
source_info
(#14308) @vuule - Forward-merge branch-23.10 to branch-23.12 (#14307) @bdice
- Add stream parameter to Set Operations (Public List APIs) (#14305) @SurajAralihalli
- Expose stream parameter to get_json_object API (#14297) @davidwendt
- Sort dictionary data alphabetically in the ORC writer (#14295) @vuule
- Expose stream parameter in public strings filter APIs (#14293) @davidwendt
- Refactor cudf_kafka to use skbuild (#14292) @jdye64
- Update
shared-action-workflows
references (#14289) @AyodeAwe - Register
partd
encode dispatch indask_cudf
(#14287) @rjzamora - Update versioning strategy (#14285) @vyasr
- Move and rename byte-pair-encoding source files (#14284) @davidwendt
- Expose stream parameter in public strings combine APIs (#14281) @davidwendt
- Expose stream parameter in public strings contains APIs (#14280) @davidwendt
- Add stream parameter to List Sort and Filter APIs (#14272) @SurajAralihalli
- Use branch-23.12 workflows. (#14271) @bdice
- Refactor LogicalType for Parquet (#14264) @etseidl
- Centralize chunked reading code in the parquet reader to reader_impl_chunking.cu (#14262) @nvdbaranec
- Expose stream parameter in public strings replace APIs (#14261) @davidwendt
- Expose stream parameter in public strings APIs (#14260) @davidwendt
- Cleanup of namespaces in parquet code. (#14259) @nvdbaranec
- Make parquet schema index type consistent (#14256) @hyperbolic2346
- Expose stream parameter in public strings convert APIs (#14255) @davidwendt
- Add in java bindings for DataSource (#14254) @revans2
- Reimplement
cudf::merge
for nested types without using comparators (#14250) @divyegala - Add stream parameter to List Manipulation and Operations APIs (#14248) @SurajAralihalli
- Expose stream parameter in public strings split/partition APIs (#14247) @davidwendt
- Improve
contains_column
by invokingcontains_table
(#14238) @PointKernel - Detect and report errors in Parquet header parsing (#14237) @etseidl
- Normalizing offsets iterator (#14234) @davidwendt
- Forward merge
23.10
into23.12
(#14231) @galipremsagar - Return error if BOOL8 column-type is used with integers-to-hex (#14208) @davidwendt
- Enable indexalator for device code (#14206) @davidwendt
- Marginally reduce memory footprint of joins (#14197) @wence-
- Add nvtx annotations to spilling-based data movement (#14196) @wence-
- Optimize ORC writer for decimal columns (#14190) @vuule
- Remove the use of volatile in ORC (#14175) @vuule
- Add
bytes_per_second
to distinct_count of stream_compaction nvbench. (#14172) @Blonck - Add
bytes_per_second
to transpose benchmark (#14170) @Blonck - cuDF: Build CUDA 12.0 ARM conda packages. (#14112) @bdice
- Add
bytes_per_second
to shift benchmark (#13950) @Blonck - Extract
debug_utilities.hpp/cu
fromcolumn_utilities.hpp/cu
(#13720) @ttnghia
v23.12.00
🚨 Breaking Changes
- Raise error in
reindex
whenindex
is not unique (#14400) @galipremsagar - Expose stream parameter to get_json_object API (#14297) @davidwendt
- Refactor cudf_kafka to use skbuild (#14292) @jdye64
- Expose stream parameter in public strings convert APIs (#14255) @davidwendt
- Upgrade to nvCOMP 3.0.4 (#13815) @vuule
🐛 Bug Fixes
- Update actions/labeler to v4 (#14562) @raydouglass
- Fix data corruption when skipping rows (#14557) @etseidl
- Fix function name typo in
cudf.pandas
profiler (#14514) @galipremsagar - Fix intermediate type checking in expression parsing (#14445) @vyasr
- Forward merge
branch-23.10
intobranch-23.12
(#14435) @raydouglass - Remove needs: wheel-build-cudf. (#14427) @bdice
- Fix dask dependency in custreamz (#14420) @vyasr
- Ensure nvbench initializes nvml context when built statically (#14411) @robertmaynard
- Support java AST String literal with desired encoding (#14402) @winningsix
- Raise error in
reindex
whenindex
is not unique (#14400) @galipremsagar - Always build nvbench statically so we don't need to package it (#14399) @robertmaynard
- Fix token-count logic in nvtext::tokenize_with_vocabulary (#14393) @davidwendt
- Fix as_column(pd.Timestamp/Timedelta, length=) not respecting length (#14390) @mroeschke
- cudf.pandas: cuDF subpath checking in module
__getattr__
(#14388) @shwina - Fix and disable encoding for nanosecond statistics in ORC writer (#14367) @vuule
- Add the new manylinux builds to the build job (#14351) @vyasr
- cudf jit parser now supports .pragma instructions with quotes (#14348) @robertmaynard
- Fix overflow check in
cudf::merge
(#14345) @divyegala - Add cramjam (#14344) @vyasr
- Enable
dask_cudf/io
pytests in CI (#14338) @galipremsagar - Temporarily avoid the current build of pydata-sphinx-theme (#14332) @vyasr
- Fix host buffer access from device function in the Parquet reader (#14328) @vuule
- Run IO tests for Dask-cuDF (#14327) @rjzamora
- Fix logical type issues in the Parquet writer (#14322) @vuule
- Remove aws-sdk-pinning and revert to arrow 12.0.1 (#14319) @vyasr
- test is_valid before reading column data (#14318) @etseidl
- Fix gtest validity setting for TextTokenizeTest.Vocabulary (#14312) @davidwendt
- Fixes stack context for json lines format that recovers from invalid JSON lines (#14309) @elstehle
- Downgrade to Arrow 12.0.0 for aws-sdk-cpp and fix cudf_kafka builds for new CI containers (#14296) @vyasr
- fixing thread index overflow issue (#14290) @hyperbolic2346
- Fix memset error in nvtext::edit_distance_matrix (#14283) @davidwendt
- Changes JSON reader's recovery option's behaviour to ignore all characters after a valid JSON record (#14279) @elstehle
- Handle empty string correctly in Parquet statistics (#14257) @etseidl
- Fixes behaviour for incomplete lines when
recover_with_nulls
is enabled (#14252) @elstehle - cudf::detail::pinned_allocator doesn't throw from
deallocate
(#14251) @robertmaynard - Fix strings replace for adjacent, identical multi-byte UTF-8 character targets (#14235) @davidwendt
- Fix the precision when converting a decimal128 column to an arrow array (#14230) @jihoonson
- Fixing parquet list of struct interpretation (#13715) @hyperbolic2346
📖 Documentation
- Fix io reference in docs. (#14452) @bdice
- Update README (#14374) @shwina
- Example code for blog on new row comparators (#13795) @divyegala
🚀 New Features
- Expose streams in public unary APIs (#14342) @vyasr
- Add python tests for Parquet DELTA_BINARY_PACKED encoder (#14316) @etseidl
- Update rapids-cmake functions to non-deprecated signatures (#14265) @robertmaynard
- Expose streams in public null mask APIs (#14263) @vyasr
- Expose streams in binaryop APIs (#14187) @vyasr
- Add pylibcudf.Scalar that interoperates with Arrow scalars (#14133) @vyasr
- Add decoder for DELTA_BYTE_ARRAY to Parquet reader (#14101) @etseidl
- Add DELTA_BINARY_PACKED encoder for Parquet writer (#14100) @etseidl
- Add BytePairEncoder class to cuDF (#13891) @davidwendt
- Upgrade to nvCOMP 3.0.4 (#13815) @vuule
- Use
pynvjitlink
for CUDA 12+ MVC (#13650) @brandon-b-miller
🛠️ Improvements
- Build concurrency for nightly and merge triggers (#14441) @bdice
- Cleanup remaining usages of dask dependencies (#14407) @galipremsagar
- Update to Arrow 14.0.1. (#14387) @bdice
- Remove Cython libcpp wrappers (#14382) @vyasr
- Forward-merge branch-23.10 to branch-23.12 (#14372) @bdice
- Upgrade to arrow 14 (#14371) @galipremsagar
- Fix a pytest typo in
test_kurt_skew_error
(#14368) @galipremsagar - Use new rapids-dask-dependency metapackage for managing dask versions (#14364) @vyasr
- Change
nullable()
tohas_nulls()
incudf::detail::gather
(#14363) @divyegala - Split up scan_inclusive.cu to improve its compile time (#14358) @davidwendt
- Implement user_datasource_wrapper is_empty() and is_device_read_preferred(). (#14357) @tpn
- Added streams to CSV reader and writer api (#14340) @shrshi
- Upgrade wheels to use arrow 13 (#14339) @vyasr
- Rework nvtext::byte_pair_encoding API (#14337) @davidwendt
- Improve performance of nvtext::tokenize_with_vocabulary for long strings (#14336) @davidwendt
- Upgrade
arrow
to13
(#14330) @galipremsagar - Expose stream parameter in public nvtext replace APIs (#14329) @davidwendt
- Drop
pyorc
dependency and usepandas
/pyarrow
instead (#14323) @galipremsagar - Avoid
pyarrow.fs
import for local storage (#14321) @rjzamora - Unpin
dask
anddistributed
for23.12
development (#14320) @galipremsagar - Expose stream parameter in public nvtext tokenize APIs (#14317) @davidwendt
- Added streams to JSON reader and writer api (#14313) @shrshi
- Minor improvements in
source_info
(#14308) @vuule - Forward-merge branch-23.10 to branch-23.12 (#14307) @bdice
- Add stream parameter to Set Operations (Public List APIs) (#14305) @SurajAralihalli
- Expose stream parameter to get_json_object API (#14297) @davidwendt
- Sort dictionary data alphabetically in the ORC writer (#14295) @vuule
- Expose stream parameter in public strings filter APIs (#14293) @davidwendt
- Refactor cudf_kafka to use skbuild (#14292) @jdye64
- Update
shared-action-workflows
references (#14289) @AyodeAwe - Register
partd
encode dispatch indask_cudf
(#14287) @rjzamora - Update versioning strategy (#14285) @vyasr
- Move and rename byte-pair-encoding source files (#14284) @davidwendt
- Expose stream parameter in public strings combine APIs (#14281) @davidwendt
- Expose stream parameter in public strings contains APIs (#14280) @davidwendt
- Add stream parameter to List Sort and Filter APIs (#14272) @SurajAralihalli
- Use branch-23.12 workflows. (#14271) @bdice
- Refactor LogicalType for Parquet (#14264) @etseidl
- Centralize chunked reading code in the parquet reader to reader_impl_chunking.cu (#14262) @nvdbaranec
- Expose stream parameter in public strings replace APIs (#14261) @davidwendt
- Expose stream parameter in public strings APIs (#14260) @davidwendt
- Cleanup of namespaces in parquet code. (#14259) @nvdbaranec
- Make parquet schema index type consistent (#14256) @hyperbolic2346
- Expose stream parameter in public strings convert APIs (#14255) @davidwendt
- Add in java bindings for DataSource (#14254) @revans2
- Reimplement
cudf::merge
for nested types without using comparators (#14250) @divyegala - Add stream parameter to List Manipulation and Operations APIs (#14248) @SurajAralihalli
- Expose stream parameter in public strings split/partition APIs (#14247) @davidwendt
- Improve
contains_column
by invokingcontains_table
(#14238) @PointKernel - Detect and report errors in Parquet header parsing (#14237) @etseidl
- Normalizing offsets iterator (#14234) @davidwendt
- Forward merge
23.10
into23.12
(#14231) @galipremsagar - Return error if BOOL8 column-type is used with integers-to-hex (#14208) @davidwendt
- Enable indexalator for device code (#14206) @davidwendt
- Marginally reduce memory footprint of joins (#14197) @wence-
- Add nvtx annotations to spilling-based data movement (#14196) @wence-
- Optimize ORC writer for decimal columns (#14190) @vuule
- Remove the use of volatile in ORC (#14175) @vuule
- Add
bytes_per_second
to distinct_count of stream_compaction nvbench. (#14172) @Blonck - Add
bytes_per_second
to transpose benchmark (#14170) @Blonck - cuDF: Build CUDA 12.0 ARM conda packages. (#14112) @bdice
- Add
bytes_per_second
to shift benchmark (#13950) @Blonck - Extract
debug_utilities.hpp/cu
fromcolumn_utilities.hpp/cu
(#13720) @ttnghia