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cuDF 22.04.00 (Date TBD)

Please see https://github.com/rapidsai/cudf/releases/tag/v22.04.00a for the latest changes to this development branch.

cuDF 22.02.00 (2 Feb 2022)

🚨 Breaking Changes

  • ORC writer API changes for granular statistics (#10058) @mythrocks
  • decimal128 Support for to/from_arrow (#9986) @codereport
  • Remove deprecated method one_hot_encoding (#9977) @isVoid
  • Remove str.subword_tokenize (#9968) @VibhuJawa
  • Remove deprecated method parameter from merge and join. (#9944) @bdice
  • Remove deprecated method DataFrame.hash_columns. (#9943) @bdice
  • Remove deprecated method Series.hash_encode. (#9942) @bdice
  • Refactoring ceil/round/floor code for datetime64 types (#9926) @mayankanand007
  • Introduce nan_as_null parameter for cudf.Index (#9893) @galipremsagar
  • Add regex_flags parameter to strings replace_re functions (#9878) @davidwendt
  • Break tie for top categorical columns in Series.describe (#9867) @isVoid
  • Add partitioning support in parquet writer (#9810) @devavret
  • Move drop_duplicates, drop_na, _gather, take to IndexFrame and create their _base_index counterparts (#9807) @isVoid
  • Raise temporary error for decimal128 types in parquet reader (#9804) @galipremsagar
  • Change default dtype of all nulls column from float to object (#9803) @galipremsagar
  • Remove unused masked udf cython/c++ code (#9792) @brandon-b-miller
  • Pick smallest decimal type with required precision in ORC reader (#9775) @vuule
  • Add decimal128 support to Parquet reader and writer (#9765) @vuule
  • Refactor TableTest assertion methods to a separate utility class (#9762) @jlowe
  • Use cuFile direct device reads/writes by default in cuIO (#9722) @vuule
  • Match pandas scalar result types in reductions (#9717) @brandon-b-miller
  • Add parameters to control row group size in Parquet writer (#9677) @vuule
  • Refactor bit counting APIs, introduce valid/null count functions, and split host/device side code for segmented counts. (#9588) @bdice
  • Add support for decimal128 in cudf python (#9533) @galipremsagar
  • Implement lists::index_of() to find positions in list rows (#9510) @mythrocks
  • Rewriting row/column conversions for Spark <-> cudf data conversions (#8444) @hyperbolic2346

🐛 Bug Fixes

📖 Documentation

🚀 New Features

🛠️ Improvements

cuDF 21.12.00 (9 Dec 2021)

🚨 Breaking Changes

🐛 Bug Fixes

  • Fix read_parquet bug for bytes input (#9669) @rjzamora
  • Use _gather internal for sort_* (#9668) @isVoid
  • Fix behavior of equals for non-DataFrame Frames and add tests. (#9653) @vyasr
  • Dont recompute output size if it is already available (#9649) @abellina
  • Fix read_parquet bug for extended dtypes from remote storage (#9638) @rjzamora
  • add const when getting data from a JNI data wrapper (#9637) @wjxiz1992
  • Fix debrotli issue on CUDA 11.5 (#9632) @vuule
  • Use std::size_t when computing join output size (#9626) @jlowe
  • Fix usecols parameter handling in dask_cudf.read_csv (#9618) @galipremsagar
  • Add support for string &#39;nan&#39;, &#39;inf&#39; &amp; &#39;-inf&#39; values while type-casting to float (#9613) @galipremsagar
  • Avoid passing NativeFileDatasource to pyarrow in read_parquet (#9608) @rjzamora
  • Fix test failure with cuda 11.5 in row_bit_count tests. (#9581) @nvdbaranec
  • Correct _LIBCUDACXX_CUDACC_VER value computation (#9579) @robertmaynard
  • Increase max RLE stream size estimate to avoid potential overflows (#9568) @vuule
  • Fix edge case in tdigest scalar generation for groups containing all nulls. (#9551) @nvdbaranec
  • Fix pytests failing in cuda-11.5 environment (#9547) @galipremsagar
  • compile libnvcomp with PTDS if requested (#9540) @jbrennan333
  • Fix segmented_gather() for null LIST rows (#9537) @mythrocks
  • Deprecate DataFrame.label_encoding, use private _label_encoding method internally. (#9535) @bdice
  • Fix several test and benchmark issues related to bitmask allocations. (#9521) @nvdbaranec
  • Fix for inserting duplicates in groupby result cache (#9508) @karthikeyann
  • Fix mismatched types error in clip() when using non int64 numeric types (#9498) @davidwendt
  • Match conda pinnings for style checks (revert part of #9412, #9433). (#9490) @bdice
  • Make sure all dask-cudf supported aggs are handled in _tree_node_agg (#9487) @charlesbluca
  • Resolve hash_columns FutureWarning in dask_cudf (#9481) @pentschev
  • Add fixed point to AllTypes in libcudf unit tests (#9472) @karthikeyann
  • Fix regex handling of embedded null characters (#9470) @davidwendt
  • Fix memcheck error in copy-if-else (#9467) @davidwendt
  • Fix bug in dask_cudf.read_parquet for index=False (#9453) @rjzamora
  • Preserve the decimal scale when creating a default scalar (#9449) @revans2
  • Push down parent nulls when flattening nested columns. (#9443) @mythrocks
  • Fix memcheck error in gtest SegmentedGatherTest/GatherSliced (#9442) @davidwendt
  • Revert "Fix quantile division / partition handling for dask-cudf sort… (#9438) @charlesbluca
  • Allow int-like objects for the decimals argument in round (#9428) @shwina
  • Fix stream compaction's drop_duplicates API to use stable sort (#9417) @ttnghia
  • Skip Comparing Uniform Window Results in Var/std Tests (#9416) @isVoid
  • Fix StructColumn.to_pandas type handling issues (#9388) @galipremsagar
  • Correct issues in the build dir cudf-config.cmake (#9386) @robertmaynard
  • Fix Java table partition test to account for non-deterministic ordering (#9385) @jlowe
  • Fix timestamp truncation/overflow bugs in orc/parquet (#9382) @PointKernel
  • Fix the crash in stats code (#9368) @devavret
  • Make Series.hash_encode results reproducible. (#9366) @bdice
  • Fix libcudf compile warnings on debug 11.4 build (#9360) @davidwendt
  • Fail gracefully when compiling python UDFs that attempt to access columns with unsupported dtypes (#9359) @brandon-b-miller
  • Set pass_filenames: false in mypy pre-commit configuration. (#9349) @bdice
  • Fix cudf_assert in cudf::io::orc::gpu::gpuDecodeOrcColumnData (#9348) @davidwendt
  • Fix memcheck error in groupby-tdigest get_scalar_minmax (#9339) @davidwendt
  • Optimizations for cudf.concat when axis=1 (#9333) @galipremsagar
  • Use f-string in join helper warning message. (#9325) @bdice
  • Avoid casting to list or struct dtypes in dask_cudf.read_parquet (#9314) @rjzamora
  • Fix null count in statistics for parquet (#9303) @devavret
  • Potential overflow of decimal32 when casting to int64_t (#9287) @codereport
  • Fix quantile division / partition handling for dask-cudf sort on null dataframes (#9259) @charlesbluca
  • Updating cudf version also updates rapids cmake branch (#9249) @robertmaynard
  • Implement one_hot_encoding in libcudf and bind to python (#9229) @isVoid
  • BUG FIX: CSV Writer ignores the header parameter when no metadata is provided (#8740) @skirui-source

📖 Documentation

🚀 New Features

🛠️ Improvements

  • Followup to PR 9088 comments (#9659) @cwharris
  • Update cuCollections to version that supports installed libcudacxx (#9633) @robertmaynard
  • Add 11.5 dev.yml to cudf (#9617) @galipremsagar
  • Add xfail for parquet reader 11.5 issue (#9612) @galipremsagar
  • remove deprecated Rmm.initialize method (#9607) @rongou
  • Use HostColumnVectorCore for child columns in JCudfSerialization.unpackHostColumnVectors (#9596) @sperlingxx
  • Set RMM pool to a fixed size in JNI (#9583) @rongou
  • Use nvCOMP for Snappy compression/decompression (#9582) @vuule
  • Build CUDA version agnostic packages for dask-cudf (#9578) @Ethyling
  • Fixed tests warning: "TYPED_TEST_CASE is deprecated, please use TYPED_TEST_SUITE" (#9574) @ttnghia
  • Enable CMake format in CI and fix style (#9570) @vyasr
  • Add NVTX Start/End Ranges to JNI (#9563) @abellina
  • Add librdkafka and python-confluent-kafka to dev conda environments s… (#9562) @jdye64
  • Add offsets_begin/end() to strings_column_view (#9559) @davidwendt
  • remove alignment options for RMM jni (#9550) @rongou
  • Add axis parameter passthrough to DataFrame and Series take for pandas API compatibility (#9549) @dantegd
  • Remove sizeof and standardize on memory_usage (#9544) @vyasr
  • Adds cudaProfilerStart/cudaProfilerStop in JNI api (#9543) @abellina
  • Generalize comparison binary operations (#9542) @vyasr
  • Expose APIs to wrap CUDA or RMM allocations with a Java device buffer instance (#9538) @jlowe
  • Add scan sum support for duration types to libcudf (#9536) @davidwendt
  • Force inlining to improve AST performance (#9530) @vyasr
  • Generalize some more indexed frame methods (#9529) @vyasr
  • Add Java bindings for rolling window stddev aggregation (#9527) @razajafri
  • catch rmm::out_of_memory exceptions in jni (#9525) @rongou
  • Add an overload of make_empty_column with type_id parameter (#9524) @ttnghia
  • Accelerate conditional inner joins with larger right tables (#9523) @vyasr
  • Initial pass of generalizing decimal support in cudf python layer (#9517) @galipremsagar
  • Cleanup for flattening nested columns (#9509) @rwlee
  • Enable running tests using RMM arena and async memory resources (#9506) @rongou
  • Remove dependency on six. (#9495) @bdice
  • Cleanup some libcudf strings gtests (#9489) @davidwendt
  • Rename strings/array_tests.cu to strings/array_tests.cpp (#9480) @davidwendt
  • Refactor sorting APIs (#9464) @vyasr
  • Implement DataFrame.hash_values, deprecate DataFrame.hash_columns. (#9458) @bdice
  • Deprecate Series.hash_encode. (#9457) @bdice
  • Update conda recipes for Enhanced Compatibility effort (#9456) @ajschmidt8
  • Small clean up to simplify column selection code in ORC reader (#9444) @vuule
  • add missing stream to scalar.is_valid() wherever stream is available (#9436) @karthikeyann
  • Adds Deprecation Warnings to one_hot_encoding and Implement get_dummies with Cython API (#9435) @isVoid
  • Update pre-commit hook URLs. (#9433) @bdice
  • Remove pyarrow import in dask_cudf.io.parquet (#9429) @charlesbluca
  • Miscellaneous improvements for UDFs (#9422) @isVoid
  • Use pre-commit for CI (#9412) @vyasr
  • Update to UCX-Py 0.23 (#9407) @pentschev
  • Expose OutOfBoundsPolicy in JNI for Table.gather (#9406) @abellina
  • Improvements to tdigest aggregation code. (#9403) @nvdbaranec
  • Add Java API to deserialize a table to host columns (#9402) @jlowe
  • Frame copy to use class instead of type() (#9397) @madsbk
  • Change all DeprecationWarnings to FutureWarning. (#9392) @bdice
  • Update Java nvcomp JNI bindings to nvcomp 2.x API (#9384) @jbrennan333
  • Add IndexedFrame class and move SingleColumnFrame to a separate module (#9378) @vyasr
  • Support Arrow NativeFile and PythonFile for remote ORC storage (#9377) @rjzamora
  • Use Arrow PythonFile for remote CSV storage (#9376) @rjzamora
  • Add multi-threaded writing to GDS writes (#9372) @devavret
  • Miscellaneous column cleanup (#9370) @vyasr
  • Use single kernel to extract all groups in cudf::strings::extract (#9358) @davidwendt
  • Consolidate binary ops into Frame (#9357) @isVoid
  • Move rank scan implementations from scan_inclusive.cu to rank_scan.cu (#9351) @davidwendt
  • Remove usage of deprecated thrust::host_space_tag. (#9350) @bdice
  • Use Default Memory Resource for Temporaries in reduction.cpp (#9344) @isVoid
  • Fix Cython compilation warnings. (#9327) @bdice
  • Fix some unused variable warnings in libcudf (#9326) @davidwendt
  • Use optional-iterator for copy-if-else kernel (#9324) @davidwendt
  • Remove Table class (#9315) @vyasr
  • Unpin dask and distributed in CI (#9307) @galipremsagar
  • Add optional-iterator support to indexalator (#9306) @davidwendt
  • Consolidate more methods in Frame (#9305) @vyasr
  • Add Arrow-NativeFile and PythonFile support to read_parquet and read_csv in cudf (#9304) @rjzamora
  • Pin mypy in .pre-commit-config.yaml to match conda environment pinning. (#9300) @bdice
  • Use gather.hpp when gather-map exists in device memory (#9299) @davidwendt
  • Fix Automerger for Branch-21.12 from branch-21.10 (#9285) @galipremsagar
  • Refactor cuIO timestamp processing with cuda::std::chrono (#9278) @PointKernel
  • Change strings copy_if_else to use optional-iterator instead of pair-iterator (#9266) @davidwendt
  • Update cudf java bindings to 21.12.0-SNAPSHOT (#9248) @pxLi
  • Various internal MultiIndex improvements (#9243) @vyasr
  • Add detail interface for split and slice(table_view), refactors both function with host_span (#9226) @isVoid
  • Refactor MD5 implementation. (#9212) @bdice
  • Update groupby result_cache to allow sharing intermediate results based on column_view instead of requests. (#9195) @karthikeyann
  • Use nvcomp's snappy decompressor in avro reader (#9181) @devavret
  • Add isocalendar API support (#9169) @marlenezw
  • Simplify read_json by removing unnecessary reader/impl classes (#9088) @cwharris
  • Simplify read_csv by removing unnecessary reader/impl classes (#9041) @cwharris
  • Refactor hash join with cuCollections multimap (#8934) @PointKernel

cuDF 21.10.00 (7 Oct 2021)

🚨 Breaking Changes

  • Remove Cython APIs for table view generation (#9199) @vyasr
  • Upgrade pandas version in cudf (#9147) @galipremsagar
  • Make AST operators nullable (#9096) @vyasr
  • Remove the option to pass data types as strings to read_csv and read_json (#9079) @vuule
  • Update JNI java CSV APIs to not use deprecated API (#9066) @revans2
  • Support additional format specifiers in from_timestamps (#9047) @davidwendt
  • Expose expression base class publicly and simplify public AST API (#9045) @vyasr
  • Add support for struct type in ORC writer (#9025) @vuule
  • Remove aliases of various api.types APIs from utils.dtypes. (#9011) @vyasr
  • Java bindings for conditional join output sizes (#9002) @jlowe
  • Move compute_column API out of ast namespace (#8957) @vyasr
  • cudf.dtype function (#8949) @shwina
  • Refactor Frame reductions (#8944) @vyasr
  • Add nested column selection to parquet reader (#8933) @devavret
  • JNI Aggregation Type Changes (#8919) @revans2
  • Add groupby_aggregation and groupby_scan_aggregation classes and force their usage. (#8906) @nvdbaranec
  • Expand CSV and JSON reader APIs to accept dtypes as a vector or map of data_type objects (#8856) @vuule
  • Change cudf docs theme to pydata theme (#8746) @galipremsagar
  • Enable compiled binary ops in libcudf, python and java (#8741) @karthikeyann
  • Make groupby transform-like op order match original data order (#8720) @isVoid

🐛 Bug Fixes

📖 Documentation

🚀 New Features

🛠️ Improvements

cuDF 21.08.00 (4 Aug 2021)

🚨 Breaking Changes

🐛 Bug Fixes

📖 Documentation

🚀 New Features

🛠️ Improvements

cuDF 21.06.00 (9 Jun 2021)

🚨 Breaking Changes

  • Add support for make_meta_obj dispatch in dask-cudf (#8342) @galipremsagar
  • Add separator-on-null parameter to strings concatenate APIs (#8282) @davidwendt
  • Introduce a common parent class for NumericalColumn and DecimalColumn (#8278) @vyasr
  • Update ORC statistics API to use C++17 standard library (#8241) @vuule
  • Preserve column hierarchy when getting NULL row from LIST column (#8206) @isVoid
  • Groupby.shift c++ API refactor and python binding (#8131) @isVoid

🐛 Bug Fixes

📖 Documentation

🚀 New Features

🛠️ Improvements

cuDF 0.19.0 (21 Apr 2021)

🚨 Breaking Changes

🐛 Bug Fixes

📖 Documentation

🚀 New Features

🛠️ Improvements

cuDF 0.18.0 (24 Feb 2021)

Breaking Changes 🚨

  • Default groupby to sort=False (#7180) @isVoid
  • Add libcudf API for parsing of ORC statistics (#7136) @vuule
  • Replace ORC writer api with class (#7099) @rgsl888prabhu
  • Pack/unpack functionality to convert tables to and from a serialized format. (#7096) @nvdbaranec
  • Replace parquet writer api with class (#7058) @rgsl888prabhu
  • Add days check to cudf::is_timestamp using cuda::std::chrono classes (#7028) @davidwendt
  • Fix default parameter values of write_csv and write_parquet (#6967) @vuule
  • Align Series.groupby API to match Pandas (#6964) @kkraus14
  • Share factorize implementation with Index and cudf module (#6885) @brandon-b-miller

Bug Fixes 🐛

  • Remove incorrect std::move call on return variable (#7319) @davidwendt
  • Fix failing CI ORC test (#7313) @vuule
  • Disallow constructing frames from a ColumnAccessor (#7298) @shwina
  • fix java cuFile tests (#7296) @rongou
  • Fix style issues related to NumPy (#7279) @shwina
  • Fix bug when iloc slice terminates at before-the-zero position (#7277) @isVoid
  • Fix copying dtype metadata after calling libcudf functions (#7271) @shwina
  • Move lists utility function definition out of header (#7266) @mythrocks
  • Throw if bool column would cause incorrect result when writing to ORC (#7261) @vuule
  • Use uvector in replace_nulls; Fix sort_helper::grouped_value doc (#7256) @isVoid
  • Remove floating point types from cudf::sort fast-path (#7250) @davidwendt
  • Disallow picking output columns from nested columns. (#7248) @devavret
  • Fix loc for Series with a MultiIndex (#7243) @shwina
  • Fix Arrow column test leaks (#7241) @tgravescs
  • Fix test column vector leak (#7238) @kuhushukla
  • Fix some bugs in java scalar support for decimal (#7237) @revans2
  • Improve assert_eq handling of scalar (#7220) @isVoid
  • Fix missing null_count() comparison in test framework and related failures (#7219) @nvdbaranec
  • Remove floating point types from radix sort fast-path (#7215) @davidwendt
  • Fixing parquet benchmarks (#7214) @rgsl888prabhu
  • Handle various parameter combinations in replace API (#7207) @galipremsagar
  • Export mock aws credentials for s3 tests (#7176) @ayushdg
  • Add MultiIndex.rename API (#7172) @isVoid
  • Fix importing list & struct types in from_arrow (#7162) @galipremsagar
  • Fixing parquet precision writing failing if scale is equal to precision (#7146) @hyperbolic2346
  • Update s3 tests to use moto_server (#7144) @ayushdg
  • Fix JIT cache multi-process test flakiness in slow drives (#7142) @devavret
  • Fix compilation errors in libcudf (#7138) @galipremsagar
  • Fix compilation failure caused by -Wall addition. (#7134) @codereport
  • Add informative error message for sep in CSV writer (#7095) @galipremsagar
  • Add JIT cache per compute capability (#7090) @devavret
  • Implement __hash__ method for ListDtype (#7081) @galipremsagar
  • Only upload packages that were built (#7077) @raydouglass
  • Fix comparisons between Series and cudf.NA (#7072) @brandon-b-miller
  • Handle nan values correctly in Series.one_hot_encoding (#7059) @galipremsagar
  • Add unstack() support for non-multiindexed dataframes (#7054) @isVoid
  • Fix read_orc for decimal type (#7034) @rgsl888prabhu
  • Fix backward compatibility of loading a 0.16 pkl file (#7033) @galipremsagar
  • Decimal casts in JNI became a NOOP (#7032) @revans2
  • Restore usual instance/subclass checking to cudf.DateOffset (#7029) @shwina
  • Add days check to cudf::is_timestamp using cuda::std::chrono classes (#7028) @davidwendt
  • Fix to_csv delimiter handling of timestamp format (#7023) @davidwendt
  • Pin librdkakfa to gcc 7 compatible version (#7021) @raydouglass
  • Fix fillna & dropna to also consider np.nan as a missing value (#7019) @galipremsagar
  • Fix round operator's HALF_EVEN computation for negative integers (#7014) @nartal1
  • Skip Thrust sort patch if already applied (#7009) @harrism
  • Fix cudf::hash_partition for decimal32 and decimal64 (#7006) @codereport
  • Fix Thrust unroll patch command (#7002) @harrism
  • Fix loc behaviour when key of incorrect type is used (#6993) @shwina
  • Fix int to datetime conversion in csv_read (#6991) @kaatish
  • fix excluding cufile tests by default (#6988) @rongou
  • Fix java cufile tests when cufile is not installed (#6987) @revans2
  • Make cudf::round for fixed_point when scale = -decimal_places a no-op (#6975) @codereport
  • Fix type comparison for java (#6970) @revans2
  • Fix default parameter values of write_csv and write_parquet (#6967) @vuule
  • Align Series.groupby API to match Pandas (#6964) @kkraus14
  • Fix timestamp parsing in ORC reader for timezones without transitions (#6959) @vuule
  • Fix typo in numerical.py (#6957) @rgsl888prabhu
  • fixed_point_value double-shifts in fixed_point construction (#6950) @codereport
  • fix libcu++ include path for jni (#6948) @rongou
  • Fix groupby agg/apply behaviour when no key columns are provided (#6945) @shwina
  • Avoid inserting null elements into join hash table when nulls are treated as unequal (#6943) @hyperbolic2346
  • Fix cudf::merge gtest for dictionary columns (#6942) @davidwendt
  • Pass numeric scalars of the same dtype through numeric binops (#6938) @brandon-b-miller
  • Fix N/A detection for empty fields in CSV reader (#6922) @vuule
  • Fix rmm_mode=managed parameter for gtests (#6912) @davidwendt
  • Fix nullmask offset handling in parquet and orc writer (#6889) @kaatish
  • Correct the sampling range when sampling with replacement (#6884) @ChrisJar
  • Handle nested string columns with no children in contiguous_split. (#6864) @nvdbaranec
  • Fix columns & index handling in dataframe constructor (#6838) @galipremsagar

Documentation 📖

  • Update readme (#7318) @shwina
  • Fix typo in cudf.core.column.string.extract docs (#7253) @adelevie
  • Update doxyfile project number (#7161) @davidwendt
  • Update 10 minutes to cuDF and CuPy with new APIs (#7158) @ChrisJar
  • Cross link RMM & libcudf Doxygen docs (#7149) @ajschmidt8
  • Add documentation for support dtypes in all IO formats (#7139) @galipremsagar
  • Add groupby docs (#7100) @shwina
  • Update cudf python docstrings with new null representation (&lt;NA&gt;) (#7050) @galipremsagar
  • Make Doxygen comments formatting consistent (#7041) @vuule
  • Add docs for working with missing data (#7010) @galipremsagar
  • Remove warning in from_dlpack and to_dlpack methods (#7001) @miguelusque
  • libcudf Developer Guide (#6977) @harrism
  • Add JNI wrapper for the cuFile API (GDS) (#6940) @rongou

New Features 🚀

  • Support numeric_only field for rank() (#7213) @isVoid
  • Add support for cudf::binary_operation TRUE_DIV for decimal32 and decimal64 (#7198) @codereport
  • Implement COLLECT rolling window aggregation (#7189) @mythrocks
  • Add support for array-like inputs in cudf.get_dummies (#7181) @galipremsagar
  • Default groupby to sort=False (#7180) @isVoid
  • Add libcudf lists column count_elements API (#7173) @davidwendt
  • Implement cudf::group_by (sort) for decimal32 and decimal64 (#7169) @codereport
  • Add encoding and compression argument to CSV writer (#7168) @VibhuJawa
  • cudf::rolling_window SUM support for decimal32 and decimal64 (#7147) @codereport
  • Adding support for explode to cuDF (#7140) @hyperbolic2346
  • Add libcudf API for parsing of ORC statistics (#7136) @vuule
  • update GDS/cuFile location for 0.9 release (#7131) @rongou
  • Add Segmented sort (#7122) @karthikeyann
  • Add cudf::binary_operation NULL_MIN, NULL_MAX & NULL_EQUALS for decimal32 and decimal64 (#7119) @codereport
  • Add scale and value methods to fixed_point (#7109) @codereport
  • Replace ORC writer api with class (#7099) @rgsl888prabhu
  • Pack/unpack functionality to convert tables to and from a serialized format. (#7096) @nvdbaranec
  • Improve digitize API (#7071) @isVoid
  • Add List types support in data generator (#7064) @galipremsagar
  • cudf::scan support for decimal32 and decimal64 (#7063) @codereport
  • cudf::rolling ROW_NUMBER support for decimal32 and decimal64 (#7061) @codereport
  • Replace parquet writer api with class (#7058) @rgsl888prabhu
  • Support contains() on lists of primitives (#7039) @mythrocks
  • Implement cudf::rolling for decimal32 and decimal64 (#7037) @codereport
  • Add ffill and bfill to string columns (#7036) @isVoid
  • Enable round in cudf for DataFrame and Series (#7022) @ChrisJar
  • Extend replace_nulls_policy to string and dictionary type (#7004) @isVoid
  • Add segmented_gather(list_column, gather_list) (#7003) @karthikeyann
  • Add method field to fillna for fixed width columns (#6998) @isVoid
  • Manual merge of branch 0.17 into branch 0.18 (#6995) @shwina
  • Implement cudf::reduce for decimal32 and decimal64 (part 2) (#6980) @codereport
  • Add Ufunc alias look up for appropriate numpy ufunc dispatching (#6973) @VibhuJawa
  • Add pytest-xdist to dev environment.yml (#6958) @galipremsagar
  • Add Index.set_names api (#6929) @galipremsagar
  • Add replace_null API with replace_policy parameter, fixed_width column support (#6907) @isVoid
  • Share factorize implementation with Index and cudf module (#6885) @brandon-b-miller
  • Implement update() function (#6883) @skirui-source
  • Add groupby idxmin, idxmax aggregation (#6856) @karthikeyann
  • Implement cudf::reduce for decimal32 and decimal64 (part 1) (#6814) @codereport
  • Implement cudf.DateOffset for months (#6775) @brandon-b-miller
  • Add Python DecimalColumn (#6715) @shwina
  • Add dictionary support to libcudf groupby functions (#6585) @davidwendt

Improvements 🛠️

  • Update stale GHA with exemptions & new labels (#7395) @mike-wendt
  • Add GHA to mark issues/prs as stale/rotten (#7388) @Ethyling
  • Unpin from numpy < 1.20 (#7335) @shwina
  • Prepare Changelog for Automation (#7309) @galipremsagar
  • Prepare Changelog for Automation (#7272) @ajschmidt8
  • Add JNI support for converting Arrow buffers to CUDF ColumnVectors (#7222) @tgravescs
  • Add coverage for skiprows and num_rows in parquet reader fuzz testing (#7216) @galipremsagar
  • Define and implement more behavior for merging on categorical variables (#7209) @brandon-b-miller
  • Add CudfSeriesGroupBy to optimize dask_cudf groupby-mean (#7194) @rjzamora
  • Add dictionary column support to rolling_window (#7186) @davidwendt
  • Modify the semantics of end pointers in cuIO to match standard library (#7179) @vuule
  • Adding unit tests for fixed_point with extremely large scales (#7178) @codereport
  • Fast path single column sort (#7167) @davidwendt
  • Fix -Werror=sign-compare errors in device code (#7164) @trxcllnt
  • Refactor cudf::string_view host and device code (#7159) @davidwendt
  • Enable logic for GPU auto-detection in cudfjni (#7155) @gerashegalov
  • Java bindings for Fixed-point type support for Parquet (#7153) @razajafri
  • Add Java interface for the new API 'explode' (#7151) @firestarman
  • Replace offsets with iterators in cuIO utilities and CSV parser (#7150) @vuule
  • Add gbenchmarks for reduction aggregations any() and all() (#7129) @davidwendt
  • Update JNI for contiguous_split packed results (#7127) @jlowe
  • Add JNI and Java bindings for list_contains (#7125) @kuhushukla
  • Add Java unit tests for window aggregate 'collect' (#7121) @firestarman
  • verify window operations on decimal with java tests (#7120) @sperlingxx
  • Adds in JNI support for creating an list column from existing columns (#7112) @revans2
  • Build libcudf with -Wall (#7105) @trxcllnt
  • Add column_device_view pointers to EncColumnDesc (#7097) @kaatish
  • Add pyorc to dev environment (#7085) @galipremsagar
  • JNI support for creating struct column from existing columns and fixed bug in struct with no children (#7084) @revans2
  • Fastpath single strings column in cudf::sort (#7075) @davidwendt
  • Upgrade nvcomp to 1.2.1 (#7069) @rongou
  • Refactor ORC ProtobufReader to make it more extendable (#7055) @vuule
  • Add Java tests for decimal casts (#7051) @sperlingxx
  • Auto-label PRs based on their content (#7044) @jolorunyomi
  • Create sort gbenchmark for strings column (#7040) @davidwendt
  • Refactor io memory fetches to use hostdevice_vector methods (#7035) @ChrisJar
  • Spark Murmur3 hash functionality (#7024) @rwlee
  • Fix libcudf strings logic where size_type is used to access INT32 column data (#7020) @davidwendt
  • Adding decimal writing support to parquet (#7017) @hyperbolic2346
  • Add compression="infer" as default for dask_cudf.read_csv (#7013) @rjzamora
  • Correct ORC docstring; other minor cuIO improvements (#7012) @vuule
  • Reduce number of hostdevice_vector allocations in parquet reader (#7005) @devavret
  • Check output size overflow on strings gather (#6997) @davidwendt
  • Improve representation of MultiIndex (#6992) @galipremsagar
  • Disable some pragma unroll statements in thrust sort.h (#6982) @davidwendt
  • Minor cudf::round internal refactoring (#6976) @codereport
  • Add Java bindings for URL conversion (#6972) @jlowe
  • Enable strict_decimal_types in parquet reading (#6969) @sperlingxx
  • Add in basic support to JNI for logical_cast (#6954) @revans2
  • Remove duplicate file array_tests.cpp (#6953) @karthikeyann
  • Add null mask fixed_point_column_wrapper constructors (#6951) @codereport
  • Update Java bindings version to 0.18-SNAPSHOT (#6949) @jlowe
  • Use simplified rmm::exec_policy (#6939) @harrism
  • Add null count test for apply_boolean_mask (#6903) @harrism
  • Implement DataFrame.quantile for datetime and timedelta data types (#6902) @ChrisJar
  • Remove **kwargs from string/categorical methods (#6750) @shwina
  • Refactor rolling.cu to reduce compile time (#6512) @mythrocks
  • Add static type checking via Mypy (#6381) @shwina
  • Update to official libcu++ on Github (#6275) @trxcllnt

cuDF 0.17.0 (10 Dec 2020)

New Features

  • PR #6116 Add filters parameter to Python read_orc function or filtering
  • PR #6848 Added Java bindings for writing parquet files with INT96 timestamps
  • PR #6460 Add is_timestamp format check API
  • PR #6647 Implement cudf::round floating point and integer types (HALF_EVEN)
  • PR #6562 Implement cudf::round floating point and integer types (HALF_UP)
  • PR #6685 Implement cudf::round decimal32 & decimal64 (HALF_UP and HALF_EVEN)
  • PR #6711 Implement cudf::cast for decimal32/64 to/from integer and floating point
  • PR #6777 Implement cudf::unary_operation for decimal32 & decimal64
  • PR #6729 Implement cudf::cast for decimal32/64 to/from different type_id
  • PR #6792 Implement cudf::clamp for decimal32 and decimal64
  • PR #6845 Implement cudf::copy_if_else for decimal32 and decimal64
  • PR #6805 Implement cudf::detail::copy_if for decimal32 and decimal64
  • PR #6843 Implement cudf::copy_range for decimal32 and decimal64
  • PR #6528 Enable fixed_point binary operations
  • PR #6460 Add is_timestamp format check API
  • PR #6568 Add function to create hashed vocabulary file from raw vocabulary
  • PR #6142 Add Python read_orc_statistics function for reading file- and stripe-level statistics
  • PR #6581 Add JNI API to check if PTDS is enabled
  • PR #6615 Add support for list and struct types to contiguous_split
  • PR #6625 Add INT96 timestamp writing option to parquet writer
  • PR #6592 Add cudf.to_numeric function
  • PR #6598 Add strings::contains API with target column parameter
  • PR #6638 Add support for pipe API
  • PR #6737 New build process (Project Flash)
  • PR #6652 Add support for struct columns in concatenate
  • PR #6675 Add DecimalDtype to cuDF
  • PR #6739 Add Java bindings for is_timestamp
  • PR #6808 Add support for reading decimal32 and decimal64 from parquet
  • PR #6781 Add serial murmur3 hashing
  • PR #6811 First class support for unbounded window function bounds
  • PR #6768 Add support for scatter() on list columns
  • PR #6796 Add create_metadata_file in dask_cudf
  • PR #6765 Cupy fallback for array_function and array_ufunc for cudf.Series
  • PR #6817 Add support for scatter() on lists-of-struct columns
  • PR #6805 Implement cudf::detail::copy_if for decimal32 and decimal64
  • PR #6483 Add agg function to aggregate dataframe using one or more operations
  • PR #6726 Support selecting different hash functions in hash_partition
  • PR #6619 Improve Dockerfile
  • PR #6831 Added parquet chunked writing ability for list columns

Improvements

  • PR #6430 Add struct type support to to_arrow and from_arrow
  • PR #6384 Add CSV fuzz tests with varying function parameters
  • PR #6385 Add JSON fuzz tests with varying function parameters
  • PR #6398 Remove function constructor macros in parquet reader
  • PR #6432 Add dictionary support to cudf::upper_bound and cudf::lower_bound
  • PR #6461 Replace index type-dispatch call with indexalator in cudf::scatter
  • PR #6415 Support datetime64 in row-wise op
  • PR #6457 Replace index type-dispatch call with indexalator in cudf::gather
  • PR #6413 Replace Python NVTX package with conda-forge source
  • PR #6442 Remove deprecated DataFrame.from_gpu_matrix, DataFrame.to_gpu_matrix, DataFrame.add_column APIs and method parameters
  • PR #6502 Add dictionary support to cudf::merge
  • PR #6471 Replace index type-dispatch call with indexalator in cudf::strings::substring
  • PR #6485 Add File IO to cuIO benchmarks
  • PR #6504 Update Java bindings version to 0.17-SNAPSHOT
  • PR #6875 Remove bounds check for cudf::gather
  • PR #6489 Add AVRO fuzz tests with varying function parameters
  • PR #6540 Add dictionary support to cudf::unary_operation
  • PR #6537 Refactor ORC timezone
  • PR #6527 Refactor DeviceColumnViewAccess to avoid JNI returning an array
  • PR #6690 Explicitly set legacy or per-thread default stream in JNI
  • PR #6545 Pin cmake policies to cmake 3.17 version
  • PR #6556 Add dictionary support to cudf::inner_join, cudf::left_join and cudf::full_join
  • PR #6557 Support nullable timestamp columns in time range window functions
  • PR #6566 Remove reinterpret_cast conversions between pointer types in ORC
  • PR #6544 Remove fixed_point precise round
  • PR #6552 Use assert_exceptions_equal to assert exceptions in pytests
  • PR #6555 Adapt JNI build to libcudf composition of multiple libraries
  • PR #6559 Refactoring cooperative loading with single thread loading.
  • PR #6564 Load JNI library dependencies with a thread pool
  • PR #6571 Add ORC fuzz tests with varying function parameters
  • PR #6578 Add in java column to row conversion
  • PR #6573 Create cudf::detail::byte_cast for cudf::byte_cast
  • PR #6597 Use thread-local to track CUDA device in JNI
  • PR #6599 Replace size()==0 with empty(), is_empty()
  • PR #6514 Initial work for decimal type in Java/JNI
  • PR #6605 Reduce HtoD copies in cudf::concatenate of string columns
  • PR #6608 Improve subword tokenizer docs
  • PR #6610 Add ability to set scalar values in cudf.DataFrame
  • PR #6612 Update JNI to new RMM cuda_stream_view API
  • PR #6646 Replace cudaStream_t with rmm::cuda_stream_view (part 1)
  • PR #6648 Replace cudaStream_t with rmm::cuda_stream_view (part 2)
  • PR #6744 Replace cudaStream_t with rmm::cuda_stream_view (part 3)
  • PR #6579 Update scatter APIs to use reference wrapper / const scalar
  • PR #6614 Add support for conversion to Pandas nullable dtypes and fix related issue in cudf.to_json
  • PR #6622 Update to_pandas api docs
  • PR #6623 Add operator overloading to column and clean up error messages
  • PR #6644 Cover different CSV reader/writer options in benchmarks
  • PR #6741 Cover different ORC and Parquet reader/writer options in benchmarks
  • PR #6651 Add cudf::dictionary::make_dictionary_pair_iterator
  • PR #6666 Add dictionary support to cudf::reduce
  • PR #6635 Add cudf::test::dictionary_column_wrapper class
  • PR #6702 Fix orc read corruption on boolean column
  • PR #6676 Add dictionary support to cudf::quantile
  • PR #6673 Parameterize avro and json benchmark
  • PR #6609 Support fixed-point decimal for HostColumnVector
  • PR #6703 Add list column statistics writing to Parquet writer
  • PR #6662 RangeIndex supports step parameter
  • PR #6712 Remove reinterpret_cast conversions between pointer types in Avro
  • PR #6705 Add nested type support to Java table serialization
  • PR #6709 Raise informative error while converting a pandas dataframe with duplicate columns
  • PR #6727 Remove 2nd type-dispatcher call from cudf::reduce
  • PR #6749 Update nested JNI builder so we can do it incrementally
  • PR #6748 Add Java API to concatenate serialized tables to ContiguousTable
  • PR #6764 Add dictionary support to cudf::minmax
  • PR #6734 Binary operations support for decimal type in cudf Java
  • PR #6761 Add Java/JNI bindings for round
  • PR #6776 Use void return type for kernel wrapper functions instead of returning cudaError_t
  • PR #6786 Add nested type support to ColumnVector#getDeviceMemorySize
  • PR #6780 Move cudf::cast tests to separate test file
  • PR #6809 size_type overflow checking when concatenating columns
  • PR #6789 Rename unary_op to unary_operator
  • PR #6770 Support building decimal columns with Table.TestBuilder
  • PR #6815 Add wildcard path support to read_parquet
  • PR #6800 Push DeviceScalar to cython-only
  • PR #6822 Split out cudf::distinct_count from drop_duplicates.cu
  • PR #6813 Enable expand=False in .str.split and .str.rsplit
  • PR #6829 Enable workaround to write categorical columns in csv
  • PR #6819 Use CMake 3.19 for RMM when building cuDF jar
  • PR #6833 Use settings.xml if existing for internal build
  • PR #6839 Handle index when dispatching array_function and array_ufunc to cupy for cudf.Series
  • PR #6835 Move template param to member var to improve compile of hash/groupby.cu
  • PR #6837 Avoid gather when copying strings view from start of strings column
  • PR #6859 Move align_ptr_for_type() from cuda.cuh to alignment.hpp
  • PR #6807 Refactor std::array usage in row group index writing in ORC
  • PR #6914 Enable groupby list aggregation for strings
  • PR #6908 Parquet option for strictly decimal reading

Bug Fixes

  • PR #6446 Fix integer parsing in CSV and JSON for values outside of int64 range
  • PR #6506 Fix DateTime type value truncation while writing to csv
  • PR #6509 Disable JITIFY log printing
  • PR #6517 Handle index equality in Series and DataFrame equality checks
  • PR #6519 Fix end-of-string marking boundary condition in subword-tokenizer
  • PR #6543 Handle np.nan values in isna/isnull/notna/notnull
  • PR #6549 Fix memory_usage calls for list columns
  • PR #6575 Fix JNI RMM initialize with no pool allocator limit
  • PR #6636 Fix orc boolean column corruption issue
  • PR #6582 Add missing device_scalar stream parameters
  • PR #6596 Fix memory usage calculation
  • PR #6595 Fix JNI build, broken by to_arrow() signature change
  • PR #6601 Fix timezone offset when reading ORC files
  • PR #6603 Use correct stream in hash_join.
  • PR #6616 Block fixed_point cudf::concatenate with different scales
  • PR #6607 Fix integer overflow in ORC encoder
  • PR #6617 Fix JNI native dependency load order
  • PR #6621 Fix subword tokenizer metadata for token count equal to max_sequence_length
  • PR #6629 Fix JNI CMake
  • PR #6633 Fix Java HostColumnVector unnecessarily loading native dependencies
  • PR #6643 Fix csv writer handling embedded comma delimiter
  • PR #6640 Add error message for unsupported axis parameter in DataFrame APIs
  • PR #6686 Fix output size for orc read for skip_rows option
  • PR #6710 Fix an out-of-bounds indexing error in gather() for lists
  • PR #6670 Fix a bug where PTX parser fails to correctly parse a python lambda generated UDF
  • PR #6687 Fix issue where index name of caller object is being modified in csv writer
  • PR #6735 Fix hash join where row hash values would end up equal to the reserved empty key value
  • PR #6696 Fix release_assert.
  • PR #6692 Fix handling of empty column name in csv writer
  • PR #6693 Fix issue related to na_values input in read_csv
  • PR #6701 Fix issue when numpy.str_ is given as input to string parameters in io APIs
  • PR #6704 Fix leak warnings in JNI unit tests
  • PR #6713 Fix missing call to cudaStreamSynchronize in get_value
  • PR #6708 Apply na_rep to column names in csv writer
  • PR #6720 Fix implementation of dtype parameter in cudf.read_csv
  • PR #6721 Add missing serialization methods for ListColumn
  • PR #6722 Fix index=False bug in dask_cudf.read_parquet
  • PR #6766 Fix race conditions in parquet
  • PR #6728 Fix cudf python docs and associated build warnings
  • PR #6732 Fix cuDF benchmarks build with static Arrow lib and fix rapids-compose cuDF JNI build
  • PR #6742 Fix concat bug in dask_cudf Series/Index creation
  • PR #6632 Fix DataFrame initialization from list of dicts
  • PR #6767 Fix sort order of parameters in test_scalar_invalid_implicit_conversion pytest
  • PR #6771 Fix index handling in parquet reader and writer
  • PR #6787 Update java reduction APIs to reflect C++ changes
  • PR #6790 Fix result representation in groupby.apply
  • PR #6794 Fix AVRO reader issues with empty input
  • PR #6798 Fix read_avro docs
  • PR #6824 Fix JNI build
  • PR #6826 Fix resource management in Java ColumnBuilder
  • PR #6830 Fix categorical scalar insertion
  • PR #6844 Fix uint32_t undefined errors
  • PR #6854 Fix the parameter order of writeParquetBufferBegin
  • PR #6855 Fix .str.replace_with_backrefs docs examples
  • PR #6853 Fix contiguous split of null string columns
  • PR #6860 Move codecov upload to build script
  • PR #6861 Fix compile error in type_dispatch_benchmark.cu
  • PR #6864 Handle contiguous_split corner case for nested string columns with no children
  • PR #6869 Avoid dependency resolution failure in latest version of pip by explicitly specifying versions for dask and distributed
  • PR #6806 Force install of local conda artifacts
  • PR #6887 Fix typo and 0-d numpy array handling in binary operation
  • PR #6898 Fix missing clone overrides on derived aggregations
  • PR #6899 Update JNI to new gather boundary check API

cuDF 0.16.0 (21 Oct 2020)

New Features

  • PR #5779 Add DataFrame.pivot() and DataFrame.unstack()
  • PR #5975 Add strings filter_characters API
  • PR #5843 Add filters parameter to Python read_parquet function for filtering row groups
  • PR #5974 Use libcudf instead of cupy for arange or column creation from a scalar.
  • PR #5494 Add Abstract Syntax Tree (AST) evaluator.
  • PR #6076 Add durations type support for csv writer, reader
  • PR #5874 Add COLLECT groupby aggregation
  • PR #6330 Add ability to query if PTDS is enabled
  • PR #6119 Add support for dayofweek property in DateTimeIndex and DatetimeProperties
  • PR #6171 Java and Jni support for Struct columns
  • PR #6125 Add support for Series.mode and DataFrame.mode
  • PR #6271 Add support to deep-copy struct columns from struct column-view
  • PR #6262 Add nth_element series aggregation with null handling
  • PR #6316 Add StructColumn to Python API
  • PR #6247 Add minmax reduction function
  • PR #6232 Json and Avro benchmarking in python
  • PR #6139 Add column conversion to big endian byte list.
  • PR #6220 Add list_topics() to supply list of underlying Kafka connection topics
  • PR #6254 Add cudf::make_dictionary_from_scalar factory function
  • PR #6262 Add nth_element series aggregation with null handling
  • PR #6277 Add support for LEAD/LAG window functions for fixed-width types
  • PR #6318 Add support for reading Struct and map types from Parquet files
  • PR #6315 Native code for string-map lookups, for cudf-java
  • PR #6302 Add custom dataframe accessors
  • PR #6301 Add JNI bindings to nvcomp
  • PR #6328 Java and JNI bindings for getMapValue/map_lookup
  • PR #6371 Use ColumnViewAccess on Host side
  • PR #6392 add hash based groupby mean aggregation
  • PR #6511 Add LogicalType to Parquet reader
  • PR #6297 cuDF Python Scalars
  • PR #6723 Support creating decimal vectors from scalar

Improvements

  • PR #6393 Fix some misspelled words
  • PR #6292 Remove individual size tracking from JNI tracking resource adaptor
  • PR #5946 Add cython and python support for libcudf to_arrow and from_arrow
  • PR #5919 Remove max_strings and max_chars from nvtext::subword_tokenize
  • PR #5956 Add/Update tests for cuStreamz
  • PR #5953 Use stable sort when doing a sort groupby
  • PR #5973 Link to the Code of Conduct in CONTRIBUTING.md
  • PR #6354 Perform shallow clone of external projects
  • PR #6388 Add documentation for building libboost_filesystem.a from source
  • PR #5917 Just use None for strides in Buffer
  • PR #6015 Upgrade CUB/Thrust to the latest commit
  • PR #5971 Add cuStreamz README for basic installation and use
  • PR #6024 Expose selecting multiple ORC stripes to read from Python
  • PR #6155 Use the CUB submodule in Thrust instead of fetching CUB separately
  • PR #6321 Add option in JNI code to use arena_memory_resource
  • PR #6002 Add Java bindings for md5
  • PR #6311 Switch Thrust to use the NVIDIA/thrust repo
  • PR #6060 Add support for all types in Series.describe and DataFrame.describe
  • PR #6051 Add builder API for cuIO parquet_writer_options and parquet_reader_options
  • PR #6067 Added compute codes for aarch64 devices
  • PR #5861 fixed_point Column Optimization (store scale in data_type)
  • PR #6083 Small cleanup
  • PR #6355 Make sure PTDS mode is compatible between libcudf and JNI
  • PR #6120 Consolidate functionality in NestedHostColumnVector and HostColumnVector
  • PR #6092 Add name and dtype field to Index.copy
  • PR #5984 Support gather() on CUDF struct columns
  • PR #6103 Small refactor of print_differences
  • PR #6124 Fix gcc-9 compilation errors on tests
  • PR #6122 Add builder API for cuIO csv_writer_options and csv_reader_options
  • PR #6141 Fix typo in custreamz README that was a result of recent changes
  • PR #6162 Reduce output parameters in cuio csv and json reader internals
  • PR #6146 Added element/validity pair constructors for fixed_width and string wrappers
  • PR #6143 General improvements for java arrow IPC.
  • PR #6138 Add builder API for cuIO orc_writer_options and orc_reader_options
  • PR #6152 Change dictionary indices to uint32
  • PR #6099 Add fluent builder apis to json_reader_options and avro_reader_options
  • PR #6163 Use Column.full instead of scalar_broadcast_to or cupy.zeros
  • PR #6176 Fix cmake warnings for GoogleTest, GoogleBenchmark, and Arrow external projects
  • PR #6149 Update to Arrow v1.0.1
  • PR #6421 Use pandas.testing in cudf
  • PR #6357 Use pandas.testing in dask-cudf
  • PR #6201 Expose libcudf test utilities headers for external project use.
  • PR #6174 Data profile support in random data generator; Expand cuIO benchmarks
  • PR #6189 Avoid deprecated pyarrow.compat for parquet
  • PR #6184 Add cuda 11 dev environment.yml
  • PR #6186 Update JNI to look for cub in new location
  • PR #6194 Remove unnecessary memory-resource parameter in cudf::contains API
  • PR #6195 Update JNI to use parquet options builder
  • PR #6190 Avoid reading full csv files for metadata in dask_cudf
  • PR #6197 Remove librmm dependency for libcudf
  • PR #6205 Add dictionary support to cudf::contains
  • PR #6213 Reduce subscript usage in cuio in favor of pointer dereferencing
  • PR #6230 Support any unsigned int type for dictionary indices
  • PR #6202 Add additional parameter support to DataFrame.drop
  • PR #6214 Small clean up to use more algorithms
  • PR #6209 Remove CXX11 ABI handling from CMake
  • PR #6223 Remove CXX11 ABI flag from JNI build
  • PR #6114 Implement Fuzz tests for cuIO
  • PR #6231 Adds inplace, append, verify_integrity fields to DataFrame.set_index
  • PR #6215 Add cmake command-line setting for spdlog logging level
  • PR #6242 Added cudf::detail::host_span and device_span
  • PR #6240 Don't shallow copy index in as_index() unless necessary
  • PR #6204 Add dockerfile and script to build cuDF jar
  • PR #6248 Optimize groupby-agg in dask_cudf
  • PR #6243 Move equals() logic to Frame
  • PR #6245 Split up replace.cu into multiple source files
  • PR #6218 increase visibility/consistency for cuio reader writer private member variable names.
  • PR #6268 Add file tags to libcudf doxygen
  • PR #6265 Update JNI to use ORC options builder
  • PR #6273 Update JNI to use ORC options builder
  • PR #6293 Replace shuffle warp reduce with cub calls
  • PR #6287 Make java aggregate API follow C++ API
  • PR #6303 Use cudf test dtypes so timedelta tests are deterministic
  • PR #6329 Update and clean-up gpuCI scripts
  • PR #6299 Add lead and lag to java
  • PR #6327 Add dictionary specialization to cudf::replace_nulls
  • PR #6306 Remove cpw macros from page encode kernels
  • PR #6375 Parallelize Cython compilation in addition to Cythonization
  • PR #6303 Use cudf test dtypes so timedelta tests are deterministic
  • PR #6326 Simplify interal csv/json kernel parameters
  • PR #6308 Add dictionary support to cudf::scatter with scalar
  • PR #6367 Add JNI bindings for byte casting
  • PR #6312 Conda recipe dependency cleanup
  • PR #6346 Remove macros from CompactProtocolWriter
  • PR #6347 Add dictionary support to cudf::copy_range
  • PR #6352 Add specific Topic support for Kafka "list_topics()" metadata requests
  • PR #6332 Add support to return csv as string when path=None in to_csv
  • PR #6358 Add Parquet fuzz tests with varying function parameters
  • PR #6369 Add dictionary support to cudf::find_and_replace
  • PR #6373 Add dictionary support to cudf::clamp
  • PR #6377 Update ci/local/README.md
  • PR #6383 Removed move.pxd, use standard library move
  • PR #6400 Removed unused variables
  • PR #6409 Allow CuPy 8.x
  • PR #6407 Add RMM_LOGGING_LEVEL flag to Java docker build
  • PR #6425 Factor out csv parse_options creation to pure function
  • PR #6438 Fetch nvcomp v1.1.0 for JNI build
  • PR #6459 Add map method to series
  • PR #6379 Add list hashing functionality to MD5
  • PR #6498 Add helper method to ColumnBuilder with some nits
  • PR #6336 Add join functionality in cudf concat
  • PR #6653 Replaced SHFL_XOR calls with cub::WarpReduce
  • PR #6751 Rework ColumnViewAccess and its usage
  • PR #6698 Remove macros from ORC reader and writer
  • PR #6782 Replace cuio macros with constexpr and inline functions

Bug Fixes

  • PR #6073 Fix issue related to .loc incase of DatetimeIndex
  • PR #6081 Fix issue where fsspec thinks it has a protocol string
  • PR #6100 Fix issue in Series.factorize to correctly pick na_sentinel value
  • PR #6106 Fix datetime limit in csv due to 32-bit arithmetic
  • PR #6113 Fix to_timestamp to initialize default year to 1970
  • PR #6110 Handle format for other input types in to_datetime
  • PR #6118 Fix Java build for ORC read args change and update package version
  • PR #6121 Replace calls to get_default_resource with get_current_device_resource
  • PR #6128 Add support for numpy RandomState handling in sample
  • PR #6134 Fix CUDA C/C++ debug builds
  • PR #6137 Fix issue where np.nan is being return instead of NAT for datetime/duration types
  • PR #6298 Fix gcc-9 compilation error in dictionary/remove_keys.cu
  • PR #6172 Fix slice issue with empty column
  • PR #6342 Fix array out-of-bound errors in Orc writer
  • PR #6154 Warnings on row-wise op only when non-numeric columns are found.
  • PR #6150 Fix issue related to inferring datetime64 format with UTC timezone in string data
  • PR #6179 make_elements copies to iterator without adjusting size
  • PR #6387 Remove extra std::move call in java/src/main/native/src/map_lookup.cu
  • PR #6182 Fix cmake build of arrow
  • PR #6288 Fix gcc-9 compilation error with ColumnVectorJni.cpp
  • PR #6173 Fix normalize_characters offset logic on sliced strings column
  • PR #6159 Fix issue related to empty Dataframe with columns input to DataFrame.appened
  • PR #6199 Fix index preservation for dask_cudf parquet
  • PR #6207 Remove shared libs from Java sources jar
  • PR #6217 Fixed missing bounds checking when storing validity in parquet reader
  • PR #6212 Update codeowners file
  • PR #6389 Fix RMM logging level so that it can be turned off from the command line
  • PR #6157 Fix issue related to Series.concat to concat a non-empty and empty series.
  • PR #6226 Add in some JNI checks for null handles
  • PR #6183 Fix issues related to Series.acos for consistent output regardless of dtype
  • PR #6234 Add float infinity parsing in csv reader
  • PR #6251 Replace remaining calls to RMM get_default_resource
  • PR #6257 Support truncated fractions in cudf::strings::to_timestamp
  • PR #6259 Fix compilation error with GCC 8
  • PR #6258 Pin libcudf conda recipe to boost 1.72.0
  • PR #6264 Remove include statement for missing rmm/mr/device/default_memory_resource.hpp file
  • PR #6296 Handle double quote and escape character in json
  • PR #6294 Fix read parquet key error when reading empty pandas DataFrame with cudf
  • PR #6285 Removed unsafe reinterpret_cast and implicit pointer-to-bool casts
  • PR #6281 Fix unreachable code warning in datetime.cuh
  • PR #6286 Fix read_csv int32 overflow
  • PR #6466 Fix ORC reader issue with decimal type
  • PR #6310 Replace a misspelled reference to master branch with main branch in a comment in changelog.sh
  • PR #6289 Revert #6206
  • PR #6291 Fix issue related to row-wise operations in cudf.DataFrame
  • PR #6304 Fix span_tests.cu includes
  • PR #6331 Avoids materializing RangeIndex during frame concatnation (when not needed)
  • PR #6278 Add filter tests for struct columns
  • PR #6344 Fix rolling-window count for null input
  • PR #6353 Rename skip_rows parameter to skiprows in read_parquet, read_avro and read_orc
  • PR #6361 Detect overflow in hash join
  • PR #6386 Removed c-style pointer casts and redundant reinterpret_casts in cudf::io
  • PR #6397 Fix build.sh when PARALLEL_LEVEL environment variable isn't set
  • PR #6366 Fix Warp Reduce calls in cuio statistics calculation to account for NaNs
  • PR #6345 Fix ambiguous constructor compile error with devtoolset
  • PR #6335 Fix conda commands for outdated python version
  • PR #6372 Fix issue related to reading a nullable boolean column in read_parquet when engine=pyarrow
  • PR #6378 Fix index handling in fillna and incorrect pytests
  • PR #6380 Avoid problematic column-index check in dask_cudf.read_parquet test
  • PR #6403 Fix error handling in notebook tests
  • PR #6408 Avoid empty offset list in hash_partition output
  • PR #6402 Update JNI build to pull fixed nvcomp commit
  • PR #6410 Fix uses of dangerous default values in Python code
  • PR #6424 Check for null data in close for ColumnBuilder
  • PR #6426 Fix RuntimeError when np.bool_ is passed as header in to_csv
  • PR #6443 Make java apis getList and getStruct public
  • PR #6445 Add dlpack to run section of libcudf conda recipe to fix downstream build issues
  • PR #6450 Make java Column Builder row agnostic
  • PR #6309 Make all CI .sh scripts have a consistent set of permissions
  • PR #6491 Remove repo URL from Java build-info
  • PR #6462 Bug fixes for ColumnBuilder
  • PR #6497 Fixes a data corruption issue reading list columns from Parquet files with multiple row groups.

cuDF 0.15.0 (26 Aug 2020)

New Features

  • PR #5292 Add unsigned int type columns to libcudf
  • PR #5287 Add index.join support
  • PR #5222 Adding clip feature support to DataFrame and Series
  • PR #5318 Support/leverage DataFrame.shuffle in dask_cudf
  • PR #4546 Support pandas 1.0+
  • PR #5331 Add cudf::drop_nans
  • PR #5327 Add cudf::cross_join feature
  • PR #5204 Concatenate strings columns using row separator as strings column
  • PR #5342 Add support for StringMethods.__getitem__
  • PR #5358 Add zero-copy column_view cast for compatible types
  • PR #3504 Add External Kafka Datasource
  • PR #5356 Use size_type instead of scalar in cudf::repeat.
  • PR #5397 Add internal implementation of nested loop equijoins.
  • PR #5303 Add slice_strings functionality using delimiter string
  • PR #5394 Enable cast and binops with duration types (builds on PR 5359)
  • PR #5301 Add Java bindings for zfill
  • PR #5411 Enable metadata collection for chunked parquet writer
  • PR #5359 Add duration types
  • PR #5364 Validate array interface during buffer construction
  • PR #5418 Add support for DataFrame.info
  • PR #5425 Add Python Groupby.rolling()
  • PR #5434 Add nvtext function generate_character_grams
  • PR #5442 Add support for cudf.isclose
  • PR #5444 Remove usage of deprecated RMM APIs and headers.
  • PR #5463 Add .str.byte_count python api and cython(bindings)
  • PR #5488 Add plumbings for .str.replace_tokens
  • PR #5502 Add Unsigned int types support in dlpack
  • PR #5497 Add .str.isinteger & .str.isfloat
  • PR #5511 Port of clx subword tokenizer to cudf
  • PR #5528 Add unsigned int reading and writing support to parquet
  • PR #5510 Add support for cudf.Index to create Indexes
  • PR #5618 Add Kafka as a cudf datasource
  • PR #5668 Adding support for cudf.testing
  • PR #5460 Add support to write to remote filesystems
  • PR #5454 Add support for DataFrame.append, Index.append, Index.difference and Index.empty
  • PR #5536 Parquet reader - add support for multiple sources
  • PR #5654 Adding support for cudf.DataFrame.sample and cudf.Series.sample
  • PR #5607 Add Java bindings for duration types
  • PR #5612 Add is_hex strings API
  • PR #5625 String conversion to and from duration types
  • PR #5659 Added support for rapids-compose for Java bindings and other enhancements
  • PR #5637 Parameterize Null comparator behaviour in Joins
  • PR #5623 Add is_ipv4 strings API
  • PR #5723 Parquet reader - add support for nested LIST columns
  • PR #5669 Add support for reading JSON files with missing or out-of-order fields
  • PR #5674 Support JIT backend on PowerPC64
  • PR #5629 Add ListColumn and ListDtype
  • PR #5658 Add filter_tokens nvtext API
  • PR #5666 Add filter_characters_of_type strings API
  • PR #5778 Add support for cudf::table to arrow::Table and arrow::Table to cudf::table
  • PR #5673 Always build and test with per-thread default stream enabled in the GPU CI build
  • PR #5438 Add MD5 hash support
  • PR #5704 Initial fixed_point Column Support
  • PR #5716 Add double_type_dispatcher to libcudf
  • PR #5739 Add nvtext::detokenize API
  • PR #5645 Enforce pd.NA and Pandas nullable dtype parity
  • PR #5729 Create nvtext normalize_characters API from the subword_tokenize internal function
  • PR #5572 Add cudf::encode API.
  • PR #5767 Add nvtext::porter_stemmer_measure and nvtext::is_letter APIs
  • PR #5753 Add cudf::lists::extract_list_element API
  • PR #5568 Add support for Series.keys() and DataFrame.keys()
  • PR #5782 Add Kafka support to custreamz
  • PR #5642 Add GroupBy.groups()
  • PR #5811 Add nvtext::edit_distance API
  • PR #5789 Add groupby support for duration types
  • PR #5810 Make Cython subdirs packages and simplify package_data
  • PR #6005 Add support for Ampere
  • PR #5807 Initial support for struct columns
  • PR #5817 Enable more fixed_point unit tests by introducing "scale-less" constructor
  • PR #5822 Add cudf_kafka to custreamz run time conda dependency and fix bash syntax issue
  • PR #5903 Add duration support for Parquet reader, writer
  • PR #5845 Add support for mask_to_bools
  • PR #5851 Add support for Index.sort_values
  • PR #5904 Add slice/split support for LIST columns
  • PR #5857 Add dtypes information page in python docs
  • PR #5859 Add conversion form fixed_point to bool
  • PR #5781 Add duration types support in cudf(python/cython)
  • PR #5815 LIST Support for ColumnVector
  • PR #5931 Support for add_calendrical_months API
  • PR #5992 Add support for .dt.strftime
  • PR #6075 Parquet writer - add support for nested LIST columns

Improvements

  • PR #5492 compile_udf: compile straight to PTX instead of using @jit
  • PR #5605 Automatically flush RMM allocate/free logs in JNI
  • PR #5632 Switch JNI code to use pool_memory_resource instead of CNMeM
  • PR #5486 Link Boost libraries statically in the Java build
  • PR #5479 Link Arrow libraries statically
  • PR #5414 Use new release of Thrust/CUB in the JNI build
  • PR #5403 Update required CMake version to 3.14 in contribution guide
  • PR #5245 Add column reduction benchmark
  • PR #5315 Use CMake FetchContent to obtain cub and thrust
  • PR #5398 Use CMake FetchContent to obtain jitify and libcudacxx
  • PR #5268 Rely on NumPy arrays for out-of-band pickling
  • PR #5288 Drop auto_pickle decorator #5288
  • PR #5231 Type Buffer as uint8
  • PR #5305 Add support for numpy/cupy array in DataFrame construction
  • PR #5308 Coerce frames to Buffers in deserialization
  • PR #5309 Handle host frames in serialization
  • PR #5312 Test serializing Series after slice
  • PR #5248 Support interleave_columns for string types
  • PR #5332 Remove outdated dask-xgboost docs
  • PR #5349 Improve libcudf documentation CSS style
  • PR #5317 Optimize fixed_point rounding shift for integers
  • PR #5386 Remove cub from include_dirs in setup.py
  • PR #5373 Remove legacy nvstrings/nvcategory/nvtext
  • PR #5362 Remove dependency on rmm._DevicePointer
  • PR #5302 Add missing comparison operators to fixed_point type
  • PR #5824 Mark host frames as not needing to be writeable
  • PR #5354 Split Dask deserialization methods by dask/cuda
  • PR #5363 Handle 0-dim inputs while broadcasting to a column
  • PR #5396 Remove legacy tests env variable from build.sh
  • PR #5374 Port nvtext character_tokenize API to libcudf
  • PR #5389 Expose typed accessors for Java HostMemoryBuffer
  • PR #5379 Avoid chaining Buffers
  • PR #5387 Port nvtext replace_tokens API to libcudf
  • PR #5381 Change numpy usages to cupy in 10min.ipynb
  • PR #5408 Update pyrrow and arrow-cpp to 0.17.1
  • PR #5366 Add benchmarks for cuIO writers
  • PR #5913 Call cudaMemcpyAsync/cudaMemsetAsync in JNI
  • PR #5405 Add Error message to StringColumn.unary_operator
  • PR #5424 Add python plumbing for .str.character_tokenize
  • PR #5420 Aligning signature of Series.value_counts to Pandas
  • PR #5535 Update document for XGBoost usage with dask-cuda
  • PR #5431 Adding support for unsigned int
  • PR #5426 Refactor strings code to minimize calls to regex
  • PR #5433 Add support for column inputs in strings::starts_with and strings::ends_with
  • PR #5427 Add Java bindings for unsigned data types
  • PR #5429 Improve text wrapping in libcudf documentation
  • PR #5443 Remove unused is_simple trait
  • PR #5441 Update Java HostMemoryBuffer to only load native libs when necessary
  • PR #5452 Add support for strings conversion using negative timestamps
  • PR #5437 Improve libcudf join documentation
  • PR #5458 Install meta packages for dependencies
  • PR #5467 Move doc customization scripts to Jenkins
  • PR #5468 Add cudf::unique_count(table_view)
  • PR #5482 Use rmm::device_uvector in place of rmm::device_vector in copy_if
  • PR #5483 Add NVTX range calls to dictionary APIs
  • PR #5477 Add is_index_type trait
  • PR #5487 Use sorted lists instead of sets for pytest parameterization
  • PR #5491 allow build libcudf in custom dir
  • PR #5501 Adding only unsigned types support for categorical column codes
  • PR #5570 Add Index APIs such as Int64Index, UInt64Index and others
  • PR #5503 Change unique_count to distinct_count
  • PR #5514 convert_datetime.cu Small Cleanup
  • PR #5496 Rename .cu tests (zero cuda kernels) to .cpp files
  • PR #5518 split iterator and gather tests to speedup build tests
  • PR #5526 Change type_id to enum class
  • PR #5559 Java APIs for missing date/time operators
  • PR #5582 Add support for axis and other parameters to DataFrame.sort_index and fix other bunch of issues.
  • PR #5562 Add missing join type for java
  • PR #5584 Refactor CompactProtocolReader::InitSchema
  • PR #5591 Add __arrow_array__ protocol and raise a descriptive error message
  • PR #5635 Ad cuIO reader benchmarks for CSV, ORC and Parquet
  • PR #5601 Instantiate Table instances in Frame._concat to avoid DF.insert() overhead
  • PR #5602 Add support for concatenation of Series & DataFrame in cudf.concat when axis=0
  • PR #5603 Refactor JIT parser.cpp
  • PR #5643 Update isort to 5.0.4
  • PR #5648 OO interface for hash join with explicit build/probe semantic
  • PR #5662 Make Java ColumnVector(long nativePointer) constructor public
  • PR #5681 Pin black, flake8 and isort
  • PR #5679 Use pickle5 to test older Python versions
  • PR #5684 Use pickle5 in Serializable (when available)
  • PR #5419 Support rolling, groupby_rolling for durations
  • PR #5687 Change strings::split_record to return a lists column
  • PR #5708 Add support for dummy_na in get_dummies
  • PR #5709 Update java build to help cu-spacial with java bindings
  • PR #5713 Remove old NVTX utilities
  • PR #5726 Replace use of assert_frame_equal in tests with assert_eq
  • PR #5720 Replace owning raw pointers with std::unique_ptr
  • PR #5702 Add inherited methods to python docs and other docs fixes
  • PR #5733 Add support for size property in DataFrame/ Series / Index/ MultiIndex
  • PR #5735 Force timestamp creation only with duration
  • PR #5743 Reduce number of test cases in concatenate benchmark
  • PR #5748 Disable tolist API in Series & Index and add tolist dispatch in dask-cudf
  • PR #5744 Reduce number of test cases in reduction benchmark
  • PR #5756 Switch JNI code to use the RMM owning wrapper
  • PR #5725 Integrate Gbenchmarks into CI
  • PR #5752 Add cuDF internals documentation (ColumnAccessor)
  • PR #5759 Fix documentation describing JIT cache default location
  • PR #5780 Add Java bindings for pad
  • PR #5775 Update dask_cudf.read_parquet to align with upstream improvements
  • PR #5785 Enable computing views of ListColumns
  • PR #5791 Get nullable_pd_dtype from kwargs if provided in assert_eq
  • PR #5786 JNI Header Cleanup for cuSpatial
  • PR #5800 Expose arrow datasource instead of directly taking a RandomAccessFile
  • PR #5795 Clarify documentation on Boost dependency
  • PR #5803 Add in Java support for the repeat command
  • PR #5806 Expose the error message from native exception when throwing an OOM exception
  • PR #5825 Enable ORC statistics generation by default
  • PR #5771 Enable gather/slicing/joins with ListColumns in Python
  • PR #5834 Add support for dictionary column in concatenate
  • PR #5832 Make dictionary_wrapper constructor from a value explicit
  • PR #5833 Pin dask and distributed version to 2.22.0
  • PR #5856 Bump Pandas support to >=1.0,<1.2
  • PR #5855 Java interface to limit RMM maximum pool size
  • PR #5853 Disable fixed_point for use in copy_if
  • PR #5854 Raise informative error in DataFrame.iterrows and DataFrame.itertuples
  • PR #5864 Replace cnmem with pool_memory_resource in test/benchmark fixtures
  • PR #5863 Explicitly require ucx-py on CI
  • PR #5879 Added support of sub-types and object wrappers in concat()
  • PR #5884 Use S3 bucket directly for benchmark plugni
  • PR #5881 Add in JVM extractListElement and stringSplitRecord
  • PR #5885 Add in java support for merge sort
  • PR #5894 Small code improvement / cleanup
  • PR #5899 Add in gather support for Java
  • PR #5906 Add macros for showing line of failures in unit tests
  • PR #5933 Add in APIs to read/write arrow IPC formatted data from java
  • PR #3918 Update cuDF internals doc
  • PR #5970 Map data to pandas through arrow, always
  • PR #6012 Remove cudf._cuda and replace usages with rmm._cuda
  • PR #6045 Parametrize parquet_reader_list tests
  • PR #6053 Import traits.hpp for cudftestutils consumers

Bug Fixes

  • PR #6034 Specify --basetemp for py.test run
  • PR #5793 Fix leak in mutable_table_device_view by deleting _descendant_storage in table_device_view_base::destroy
  • PR #5525 Make sure to allocate bitmasks of string columns only once
  • PR #5336 Initialize conversion tables on a per-context basis
  • PR #5283 Fix strings::ipv4_to_integers overflow to negative
  • PR #5269 Explicitly require NumPy
  • PR #5271 Fix issue when different dtype values are passed to .cat.add_categories
  • PR #5333 Fix DataFrame.loc issue with list like argument
  • PR #5299 Update package version for Java bindings
  • PR #5300 Add support to ignore None in cudf.concat input
  • PR #5334 Fix pickling sizeof test
  • PR #5337 Fix broken alias from DataFrame.{at,iat} to {loc, iloc}
  • PR #5347 Fix APPLY_BOOLEAN_MASK_BENCH segfault
  • PR #5368 Fix loc indexing issue with datetime type index
  • PR #5367 Fix API for cudf::repeat in cudf::cross_join
  • PR #5377 Handle array of cupy scalars in to_column
  • PR #5326 Fix DataFrame.__init__ for list of scalar inputs and related dask issue
  • PR #5383 Fix cython type_id enum mismatch
  • PR #5982 Fix gcc-9 compile errors under CUDA 11
  • PR #5382 Fix CategoricalDtype equality comparisons
  • PR #5989 Fix gcc-9 warnings on narrowing conversion
  • PR #5385 Fix index issues in DataFrame.from_gpu_matrix
  • PR #5390 Fix Java data type IDs and string interleave test
  • PR #5392 Fix documentation links
  • PR #5978 Fix option to turn off NVTX
  • PR #5410 Fix compile warning by disallowing bool column type for slice_strings
  • PR #5404 Fix issue with column creation when chunked arrays are passed
  • PR #5409 Use the correct memory resource when creating empty null masks
  • PR #5399 Fix cpp compiler warnings of unreachable code
  • PR #5439 Fix nvtext ngrams_tokenize performance for multi-byte UTF8
  • PR #5446 Fix compile error caused by out-of-date PR merge (4990)
  • PR #5983 Fix JNI gcc-9 compile error under CUDA 11
  • PR #5423 Fix any() reduction ignore nulls
  • PR #5459 Fix str.translate to convert table characters to UTF-8
  • PR #5480 Fix merge sort docs
  • PR #5465 Fix benchmark out of memory errors due to multiple initialization
  • PR #5473 Fix RLEv2 patched base in ORC reader
  • PR #5472 Fix str concat issue with indexed series
  • PR #5478 Fix loc and iloc doc
  • PR #5484 Ensure flat index after groupby if nlevels == 1
  • PR #5489 Fix drop_nulls/boolean_mask corruption for large columns
  • PR #5504 Remove some java assertions that are not needed
  • PR #5516 Update gpuCI image in local build script
  • PR #5529 Fix issue with negative timestamp in orc writer
  • PR #5523 Handle dtype of Buffer objects when not passed explicitly
  • PR #5534 Fix the java build around type_id
  • PR #5564 Fix CudfEngine.read_metadata API in dask_cudf
  • PR #5537 Fix issue related to using set_index on a string series
  • PR #5561 Fix copy_bitmask issue with offset
  • PR #5609 Fix loc and iloc issue with column like input
  • PR #5578 Fix getattr logic in GroupBy
  • PR #5490 Fix python column view
  • PR #5613 Fix assigning an equal length object into a masked out Series
  • PR #5608 Fix issue related to string types being represented as binary types
  • PR #5619 Fix issue related to typecasting when using a CategoricalDtype
  • PR #5649 Fix issue when empty Dataframe with index are passed to cudf.concat
  • PR #5644 Fix issue related to Dataframe init when passing in columns
  • PR #5340 Disable iteration in cudf objects and add support for DataFrame initialization with list of Series
  • PR #5663 Move Duration types under Timestamps in doxygen Modules page
  • PR #5664 Update conda upload versions for new supported CUDA/Python
  • PR #5656 Fix issue with incorrect docker image being used in local build script
  • PR #5671 Fix chunksize issue with DataFrame.to_csv
  • PR #5672 Fix crash in parquet writer while writing large string data
  • PR #5675 Allow lists_column_wrappers to be constructed from incomplete hierarchies.
  • PR #5691 Raise error on incompatible mixed-type input for a column
  • PR #5692 Fix compilation issue with gcc 7.4.0 and CUDA 10.1
  • PR #5693 Add fix missing from PR 5656 to update local docker image to py3.7
  • PR #5703 Small fix for dataframe constructor with cuda array interface objects that don't have descr field
  • PR #5727 Fix Index.__repr__ to allow representation of null values
  • PR #5719 Fix Frame._concat() with categorical columns
  • PR #5736 Disable unsigned type in ORC writer benchmarks
  • PR #5745 Update JNI cast for inability to cast timestamp and integer types
  • PR #5750 Add RMM_ROOT/include to the spdlog search path in JNI build
  • PR #5763 Update Java slf4j version to match Spark 3.0
  • PR #5816 Always preserve list column hierarchies across operations.
  • PR #5766 Fix issue related to iloc and slicing a DataFrame
  • PR #5827 Revert fallback for tolist being absent
  • PR #5774 Add fallback for when tolist is absent
  • PR #5319 Disallow SUM and specialize MEAN of timestamp types
  • PR #5797 Fix a missing data issue in some Parquet files
  • PR #5787 Fix column create from dictionary column view
  • PR #5764 Remove repetition of install instructions
  • PR #5926 Fix SeriesGroupBy.nunique() to return a Series
  • PR #5813 Fix normalizer exception with all-null strings column
  • PR #5820 Fix ListColumn.to_arrow for all null case
  • PR #5837 Bash syntax error in prebuild.sh preventing cudf_kafka and libcudf_kafka from being uploaded to Anaconda
  • PR #5841 Added custreamz functions that were missing in interface layer
  • PR #5844 Fix .str.cat when objects with different index are passed
  • PR #5849 Modify custreamz api to integrate seamlessly with python streamz
  • PR #5866 cudf_kafka python version inconsistencies in Anaconda packages
  • PR #5872 libcudf_kafka r_path is causing docker build failures on centos7
  • PR #5869 Fix bug in parquet writer in writing string column with offset
  • PR #5910 Propagate CUDA insufficient driver error to the user
  • PR #5914 Link CUDA against libcudf_kafka
  • PR #5895 Do not break kafka client consumption loop on local client timeout
  • PR #5915 Fix reference count on Java DeviceMemoryBuffer after contiguousSplit
  • PR #5941 Fix issue related to string to datetime64 column typecast
  • PR #5927 Fix return type of MultiIndex.argsort
  • PR #5942 Fix JIT cache multiprocess test failure
  • PR #5929 Revised assertEquals for List Columns in java tests
  • PR #5947 Fix null count for child device column vector
  • PR #5951 Fix mkdir error in benchmark build
  • PR #5949 Find Arrow include directory for JNI builds
  • PR #5964 Fix API doc page title tag
  • PR #5981 Handle nat in fillna for datetime and timedelta types
  • PR #6016 Fix benchmark fixture segfault
  • PR #6003 Fix concurrent JSON reads crash
  • PR #6032 Change black version to 19.10b0 in .pre-commit-config.yaml
  • PR #6041 Fix Java memory resource handler to rethrow original exception object
  • PR #6057 Fix issue in parquet reader with reading columns out of file-order
  • PR #6098 Patch Thrust to workaround CUDA_CUB_RET_IF_FAIL macro clearing CUDA errors

cuDF 0.14.0 (03 Jun 2020)

New Features

  • PR #5042 Use RMM for Numba
  • PR #4472 Add new partition API to replace scatter_to_tables.
  • PR #4626 LogBase binops
  • PR #4750 Normalize NANs and Zeroes (JNI Bindings)
  • PR #4689 Compute last day of the month for a given date
  • PR #4771 Added in an option to statically link against cudart
  • PR #4788 Add cudf::day_of_year API
  • PR #4789 Disallow timestamp sum and diffs via binary ops
  • PR #4815 Add JNI total memory allocated API
  • PR #4906 Add Java bindings for interleave_columns
  • PR #4900 Add get_element to obtain scalar from a column given an index
  • PR #4938 Add Java bindings for strip
  • PR #4923 Add Java and JNI bindings for string split
  • PR #4972 Add list_view (cudf::LIST) type
  • PR #4990 Add lists_column_view, list_column_wrapper, lists support for concatenate
  • PR #5073 gather support for cudf::LIST columns
  • PR #5004 Added a null considering min/max binary op
  • PR #4992 Add Java bindings for converting nans to nulls
  • PR #4975 Add Java bindings for first and last aggregate expressions based on nth
  • PR #5036 Add positive remainder binary op functionality
  • PR #5055 Add atan2 binary op
  • PR #5099 Add git commit hook for clang-format
  • PR #5072 Adding cython binding to get_element
  • PR #5092 Add cudf::replace_nans
  • PR #4881 Support row_number in rolling_window
  • PR #5068 Add Java bindings for arctan2
  • PR #5132 Support out-of-band buffers in Python pickling
  • PR #5139 Add Serializable ABC for Python
  • PR #5149 Add Java bindings for PMOD
  • PR #5153 Add Java bindings for extract
  • PR #5196 Add Java bindings for NULL_EQUALS, NULL_MAX and NULL_MIN
  • PR #5192 Add support for cudf.to_datetime
  • PR #5203 Add Java bindings for is_integer and is_float
  • PR #5205 Add ci test for libcudf, libnvstrings headers existence check in meta.yml
  • PR #5239 Support for custom cuIO datasource classes
  • PR #5293 Add Java bindings for replace_with_backrefs

Improvements

  • PR #5235 Make DataFrame.clean_renderable_dataframe() and DataFrame.get_renderable_dataframe non-public methods
  • PR #4995 Add CMake option for per-thread default stream
  • PR #5033 Fix Numba deprecations warnings with Numba 0.49+
  • PR #4950 Fix import errors with Numba 0.49+
  • PR #4825 Update the iloc exp in dataframe.py
  • PR #4450 Parquet writer: add parameter to retrieve the raw file metadata
  • PR #4531 Add doc note on conda channel_priority
  • PR #4479 Adding cuda 10.2 support via conda environment file addition
  • PR #4486 Remove explicit template parameter from detail::scatter.
  • PR #4471 Consolidate partitioning functionality into a single header.
  • PR #4483 Add support fill() on dictionary columns
  • PR #4498 Adds in support for chunked writers to java
  • PR #4073 Enable contiguous split java test
  • PR #4527 Add JNI and java bindings for matches_re
  • PR #4606 Fix scan unit test and upgrade to more appropriate algorithms
  • PR #4527 Add JNI and java bindings for matches_re
  • PR #4532 Parquet reader: add support for multiple pandas index columns
  • PR #4599 Add Java and JNI bindings for string replace
  • PR #4655 Raise error for list like dtypes in cudf
  • PR #4548 Remove string_view is_null method
  • PR #4645 Add Alias for kurtosis as kurt
  • PR #4703 Optimize strings concatenate for many columns
  • PR #4769 Remove legacy code from libcudf
  • PR #4668 Add Java bindings for log2/log10 unary ops and log_base binary op
  • PR #4616 Enable different RMM allocation modes in unit tests
  • PR #4520 Fix several single char -> single char case mapping values. Add support for single -> multi char mappings.
  • PR #4700 Expose events and more stream functionality in java
  • PR #4699 Make Java's MemoryBuffer public and add MemoryBuffer.slice
  • PR #4691 Fix compiler argument syntax for ccache
  • PR #4792 Port gather, scatter, and type_dispatcher benchmarks to libcudf++
  • PR #3581 Remove bool8
  • PR #4692 Add GPU and CUDA validations
  • PR #4705 quantile cython bindings
  • PR #4627 Remove legacy Cython
  • PR #4688 Add Java count aggregation to include null values
  • PR #4331 Improved test for double that considers an epsilon
  • PR #4731 Avoid redundant host->device copies when reading the entire CSV/JSON file
  • PR #4739 Add missing aggregations for cudf::experimental::reduce
  • PR #4738 Remove stop-gaps in StringMethods and enable related tests
  • PR #4745 Fix fsspec related issue and upgrade fsspec version
  • PR #4779 Allow reading arbitrary stripes/rowgroup lists in CPP columnar readers
  • PR #4766 Update to use header-only NVTX v3 and remove need to link against nvtx.
  • PR #4716 Remove direct calls to RMM_ALLOC/RMM_FREE
  • PR #4765 Add in java support for sequence
  • PR #4772 Cleanup dask_cudf to_parquet and enable "_metadata" creation
  • PR #4733 Fix isin docs for DataFrame, Series, Index, and add DataFrame.isin support
  • PR #4767 Remove linking against gtest_main and gmock_main in unit tests
  • PR #4660 Port cudf::partition api to python/cython
  • PR #4799 Remove null_count() and has_nulls() from column_device_view
  • PR #4778 Remove scatter_to_tables from libcudf, cython and python
  • PR #4783 Add support for child columns to mutable_column_device_view
  • PR #4802 Refactor cudf::transpose to increase performance.
  • PR #4776 Improve doxygen comments for libcudf string/timestamp conversion formats
  • PR #4793 Add cudf._cuda to setup.py
  • PR #4790 Replace the use of deprecated rmm APIs in the test environment
  • PR #4809 Improve libcudf doc rendering and add a new main page
  • PR #4811 Add precision to subsecond specifier in timestamp/string conversion format
  • PR #4543 Add inplace parameter support for Series.replace & DataFrame.replace
  • PR #4816 Remove java API use of deprecated RMM APIs
  • PR #4817 Fix fixed_point documentation
  • PR #4844 Change Doxygen color to RAPIDS purple and documentation improvement
  • PR #4840 Add docs for T, empty & values
  • PR #4841 Remove unused single_lane_block_popc_reduce function
  • PR #4842 Added Java bindings for titlizing a String column
  • PR #4847 Replace legacy NVTX calls with "standalone" NVTX bindings calls
  • PR #4851 Performance improvements relating to concat
  • PR #4852 Add NVTX range calls to strings and nvtext APIs
  • PR #4849 Update Java bindings to use new NVTX API
  • PR #4845 Add CUDF_FUNC_RANGE to top-level cuIO function APIs
  • PR #4848 Side step unique_count calculation in scatter_by_map
  • PR #4863 Create is_integer/is_float functions for checking characters before calling to_integers/to_floats
  • PR #4864 Add support for __array__ method in cuDF
  • PR #4853 Added CUDA_TRY to multiple places in libcudf code
  • PR #4870 Add chunked parquet file writing from python
  • PR #4865 Add docs and clarify limitations of applymap
  • PR #4867 Parquet reader: coalesce adjacent column chunk reads
  • PR #4871 Add in the build information when building the java jar file
  • PR #4869 Expose contiguous table when deserializing from Java
  • PR #4878 Remove obsolete string_from_host utility
  • PR #4873 Prevent mutable_view() from invoking null count
  • PR #4806 Modify doc and correct cupy array conversions in 10min-cudf-cupy.ipynb
  • PR #4877 Fix DataFrame.mask and align mask & where behavior with pandas
  • PR #4884 Add more NVTX annotations in cuDF Python
  • PR #4902 Use ContextDecorator instead of contextmanager for nvtx.annotate
  • PR #4894 Add annotations for the .columns property and setter
  • PR #4901 Improve unit tests for casting Java numeric types to string
  • PR #4888 Handle dropping of nan's & nulls using skipna parameter in Statistical reduction ops
  • PR #4903 Improve internal documentation of cudf-io compression/decompression kernels
  • PR #4905 Get decorated function name as message when annotating
  • PR #4907 Reuse EventAttributes across NVTX annotations
  • PR #4912 Drop old valid check in element_indexing
  • PR #4924 Properly handle npartition argument in rearrange_by_hash
  • PR #4918 Adding support for cupy.ndarray in series.loc
  • PR #4909 Added ability to transform a column using cuda method in Java bindings
  • PR #3259 Add .clang-format file & format all files
  • PR #4943 Fix-up error handling in GPU detection
  • PR #4917 Add support for casting unsupported dtypes of same kind
  • PR #4928 Misc performance improvements for scatter_by_map
  • PR #4927 Use stack for memory in deviceGetName
  • P# #4933 Enable nop annotate
  • PR #4929 Java methods ensure calling thread's CUDA device matches RMM device
  • PR #4956 Dropping find_first_value and find_last_value
  • PR #4962 Add missing parameters to DataFrame.replace & Series.replace
  • PR #4960 Return the result of to_json
  • PR #4963 Use cudaDeviceAttr in getDeviceAttribute
  • PR #4953 add documentation for supported NVIDIA GPUs and CUDA versions for cuDF
  • PR #4967 Add more comments to top-level gpuinflate and debrotli kernels
  • PR #4968 Add CODE_OF_CONDUCT.md
  • PR #4980 Change Java HostMemoryBuffer default to prefer pinned memory
  • PR #4994 clang-format "cpp/tests" directory
  • PR #4993 Remove Java memory prediction code
  • PR #4985 Add null_count to Python Column ctors and use already computed null_count when possible
  • PR #4998 Clean up dispatch of aggregation methods in result_cache
  • PR #5000 Performance improvements in isin and dask_cudf backend
  • PR #5002 Fix Column.reduce to accept null_count
  • PR #5006 Add Java bindings for strip, lstrip and rstrip
  • PR #5047 Add Cython binding for libcudf++ CSV reader
  • PR #5027 Move nvstrings standalone docs pages to libcudf doxygen pages
  • PR #4947 Add support for CategoricalColumn to be type-casted with different categories
  • PR #4822 Add constructor to pq_chunked_state to enable using RAII idiom
  • PR #5024 CSV reader input stage optimizations
  • PR #5061 Add support for writing parquet to python file-like objects
  • PR #5034 Use loc to apply boolmask to frame efficiently when constructing query result
  • PR #5039 Make annotate picklable
  • PR #5045 Remove call to unique() in concat when axis=1
  • PR #5023 Object oriented join and column agnostic typcasting
  • PR #5049 Add grouping of libcudf apis into doxygen modules
  • PR #5069 Remove duplicate documentation from detail headers
  • PR #5075 Add simple row-group aggregation mechanism in dask_cudf read_parquet
  • PR #5084 Improve downcasting in Series.label_encoding() to reduce memory usage
  • PR #5085 Print more precise numerical strings in unit tests
  • PR #5028 Add Docker 19 support to local gpuci build
  • PR #5093 Add .cat.as_known related test in dask_cudf
  • PR #5100 Add documentation on libcudf doxygen guidelines
  • PR #5106 Add detail API for cudf::concatenate with tables
  • PR #5104 Add missing .inl files to clang-format and git commit hook
  • PR #5112 Adding htoi and ip2int support to StringMethods
  • PR #5101 Add POSITION_INDEPENDENT_CODE flag to static cudftestutil library
  • PR #5109 Update CONTRIBUTING.md for clang-format pre-commit hook
  • PR #5054 Change String typecasting to be inline with Pandas
  • PR #5123 Display more useful info on clang-format CI Failure
  • PR #5058 Adding cython binding for CSV writer
  • PR #5156 Raise error when applying boolean mask containing null values.
  • PR #5137 Add java bindings for getSizeInBytes in DType
  • PR #5194 Update Series.fillna to reflect dtype behavior
  • PR #5159 Add make_meta_object in dask_cudf backend and add str.split test
  • PR #5147 Use logging_resource_adaptor from RMM in the JNI code
  • PR #5184 Fix style checks
  • PR #5198 Add detail headers for strings converter functions
  • PR #5199 Add index support in DataFrame.query
  • PR #5227 Refactor detail::gather API to make use of scoped enumerators
  • PR #5218 Reduce memory usage when categorifying column with null values.
  • PR #5209 Add nan_as_null support to cudf.from_pandas
  • PR #5207 Break up backref_re.cu into multiple source files to improve compile time
  • PR #5155 Fix cudf documentation misspellings
  • PR #5208 Port search and join benchmark to libcudf++
  • PR #5214 Move docs build script into repository
  • PR #5219 Add per context cache for JIT kernels
  • PR #5250 Improve to_csv() support for writing to buffers
  • PR #5233 Remove experimental namespace used during libcudf++ refactor
  • PR #5213 Documentation enhancements to cudf python APIs
  • PR #5251 Fix more mispellings in cpp comments and strings
  • PR #5261 Add short git commit to conda package name
  • PR #5254 Deprecate nvstrings, nvcategory and nvtext
  • PR #5270 Add support to check for "NaT" and "None" strings while typecasting to datetime64
  • PR #5298 Remove unused native deps from java library
  • PR #5216 Make documentation uniform for params

Bug Fixes

  • PR #5221 Fix the use of user-provided resource on temporary values
  • PR #5181 Allocate null count using the default resource in copy_if
  • PR #5141 Use user-provided resource correctly in unary_operation() and shift()
  • PR #5064 Fix hash() and construct_join_output_df() to use user-provided memory resource correctly
  • PR #4386 Update Java package to 0.14
  • PR #4466 Fix merge key column sorting
  • PR #4402 Fix cudf::strings::join_strings logic with all-null strings and null narep
  • PR #4610 Fix validity bug in string scalar factory
  • PR #4570 Fixing loc ordering issue in dataframe
  • PR #4612 Fix invalid index handling in cudf:dictionary:add-keys call to gather
  • PR #4614 Fix cuda-memcheck errors found in column_tests.cu and copying/utility_tests.cu
  • PR #4614 Fix cuda-memcheck errors found in column_tests.cu and copying/utility_tests.cu
  • PR #4639 Fix java column of empty strings issue
  • PR #4613 Fix issue related to downcasting in .loc
  • PR #4615 Fix potential OOB write in ORC writer compression stage
  • PR #4587 Fix non-regex libcudf contains methods to return true when target is an empty string
  • PR #4617 Fix memory leak in aggregation object destructor
  • PR #4633 String concatenation fix in DataFrame.rename
  • PR #4609 Fix to handle Series.factorize when index is set
  • PR #4659 Fix strings::replace_re handling empty regex pattern
  • PR #4652 Fix misaligned error when computing regex device structs
  • PR #4651 Fix hashing benchmark missing includes
  • PR #4672 Fix docs for value_counts and update test cases
  • PR #4672 Fix __setitem__ handling list of column names
  • PR #4673 Fix regex infinite loop while parsing invalid quantifier pattern
  • PR #4679 Fix comments for make_dictionary_column factory functions
  • PR #4711 Fix column leaks in Java unit test
  • pR #4721 Fix string binop to update nulls appropriately
  • PR #4722 Fix strings::pad when using pad::both with odd width
  • PR #4743 Fix loc issue with Multiindex on DataFrame and Series
  • PR #4725 Fix issue java with not setting GPU on background thread
  • PR #4701 Fix issue related to mixed input types in as_column
  • PR #4748 Fix strings::all_characters_of_type to allow verify-types mask
  • PR #4747 Fix random failures of decompression gtests
  • PR #4749 Setting nan_as_null=True while creating a column in DataFrame creation
  • PR #4761 Fix issues with nan_as_null in certain case
  • PR #4650 Fix type mismatch & result format issue in searchsorted
  • PR #4755 Fix Java build to deal with new quantiles API
  • PR #4720 Fix issue related to dtype param not being adhered incase of cuda arrays
  • PR #4756 Fix regex error checking for valid quantifier condition
  • PR #4777 Fix data pointer for column slices of zero length
  • PR #4770 Fix readonly flag in Column. __cuda_array_interface__
  • PR #4800 Fix dataframe slicing with strides
  • PR #4796 Fix groupby apply for operations that fail on empty groups
  • PR #4801 gitignore _cuda/*.cpp files
  • PR #4805 Fix hash_object_dispatch definitions in dask_cudf
  • PR #4813 Fix GenericIndex printing
  • PR #4804 Fix issue related repartition during hash based repartition
  • PR #4814 Raise error if to_csv does not get filename/path
  • PR #4821 Port apply_boolean_mask_benchmark to new cudf::column types
  • PR #4826 Move memory resource from RmmTestEnvironment to the custom gtest main() scope
  • PR #4839 Update Java bindings for timestamp cast formatting changes
  • PR #4797 Fix string timestamp to datetime conversion with ms and ns
  • PR #4854 Fix several cases of incorrect downcasting of operands in binops
  • PR #4834 Fix bug in transform in handling single line UDFs
  • PR #4857 Change JIT cache default directory to $HOME/.cudf
  • PR #4807 Fix categories duplication in dask_cudf
  • PR #4846 Fix CSV parsing with byte_range parameter and string columns
  • PR #4883 Fix series get/set to match pandas
  • PR #4861 Fix to_integers illegal-memory-access with all-empty strings column
  • PR #4860 Fix issues in HostMemoryBufferTest, and testNormalizeNANsAndZeros
  • PR #4879 Fix output for cudf.concat with axis=1 for pandas parity
  • PR #4838 Fix to support empty inputs to replace method
  • PR #4859 JSON reader: fix data type inference for string columns
  • PR #4868 Temporary fix to skip validation on Dask related runs
  • PR #4872 Fix broken column wrapper constructors in merge benchmark
  • PR #4875 Fix cudf::strings::from_integer logic converting min integer to string
  • PR #4876 Mark Java cleaner objects as being cleaned even if exception is thrown
  • PR #4780 Handle nulls in Statistical column operations
  • PR #4886 Minimize regex-find calls in multi-replace cudf::strings::replace_re function
  • PR #4887 Remove developer.rst and any links
  • PR #4915 Fix to reset_index inplace in MultiIndex and other places
  • PR #4899 Fix series inplace handling
  • PR #4940 Fix boolean mask issue with large sized Dataframe
  • PR #4889 Fix multi-index merging
  • PR #4922 Fix cudf::strings:split logic for many columns
  • PR #4949 Fix scatter, gather benchmark constructor call
  • PR #4958 Fix strings::replace perf for long strings
  • PR #4965 Raise Error when there are duplicate columns sent to cudf.concat
  • PR #4983 Fix from_cudf in dask_cudf
  • PR #4996 Parquet writer: fix potentially zero-sized string dictionary
  • PR #5009 Fix pickling for string and categorical columns
  • PR #4984 Fix groupby nth aggregation negative n and exclude nulls
  • PR #5011 Fix DataFrame loc issue with boolean masking
  • PR #4977 Fix compilation of cuDF benchmarks with build.sh
  • PR #5018 Fix crash when JIT cache dir inaccessible. Fix inter version cache clash for custom cache path.
  • PR #5005 Fix CSV reader error when only one of the row selection parameters is set
  • PR #5022 Add timestamp header to transform
  • PR #5021 Fix bug with unsigned right shift and scalar lhs
  • PR #5020 Fix conda install pre_commit not found when setting up dev environment
  • PR #5030 Fix Groupby sort=True
  • PR #5029 Change temporary dir to working dir for cudf io tests
  • PR #5040 Fix make_scalar_iterator() and make_pair_iterator(scalar) to not copy values to host
  • PR #5041 Fix invalid java test for shift right unsigned
  • PR #5043 Remove invalid examples page libcudf doxygen
  • PR #5060 Fix unsigned char limits issue in JIT by updating Jitify
  • PR #5070 Fix libcudf++ csv reader support for hex dtypes, doublequotes and empty columns
  • PR #5057 Fix metadata_out parameter not reaching parquet write_all
  • PR #5076 Fix JNI code for null_policy enum change
  • PR #5031 grouped_time_range_rolling_window assumes ASC sort order
  • PR #5032 grouped_time_range_rolling_window should permit invocation without specifying grouping_keys
  • PR #5103 Fix read_csv issue with names and header
  • PR #5090 Fix losing nulls while creating DataFrame from dictionary
  • PR #5089 Return false for sign-only string in libcudf is_float and is_integer
  • PR #5124 DataFrame.rename support for renaming indexes w/ default for index
  • PR #5108 Fix float-to-string convert for -0.0
  • PR #5111 Fix header not being included in legacy jit transform.
  • PR #5115 Fix hex-to-integer logic when string has prefix '0x'
  • PR #5118 Fix naming for java string length operators
  • PR #5129 Fix missed reference in tests from 5118
  • PR #5122 Fix clang-format custrings bug
  • PR #5138 Install contextvars backport on Python 3.6
  • PR #5145 Fix an issue with calling an aggregation operation on SeriesGroupBy
  • PR #5148 Fix JNI build for GCC 8
  • PR #5162 Fix issues related to empty Dataframe in as_gpu_matrix & astype
  • PR #5167 Fix regex extract match to return empty string
  • PR #5163 Fix parquet INT96 timestamps before the epoch
  • PR #5165 Fix potentially missing last row in libcudf++ csv reader
  • PR #5185 Fix flake8 configuration and issues from new flake8 version
  • PR #5193 Fix OOB read in csv reader
  • PR #5191 Fix the use of the device memory resource
  • PR #5212 Fix memory leak in dlpack.pyx:from_dlpack()
  • PR #5224 Add new headers from 5198 to libcudf/meta.yaml
  • PR #5228 Fix datetime64 scalar dtype handling for unsupported time units
  • PR #5256 ORC reader: fix loading individual timestamp columns
  • PR #5285 Fix DEBUG compilation failure due to fixed_point.hpp

cuDF 0.13.0 (31 Mar 2020)

New Features

  • PR #4360 Added Java bindings for bitwise shift operators
  • PR #3577 Add initial dictionary support to column classes
  • PR #3777 Add support for dictionary column in gather
  • PR #3693 add string support, skipna to scan operation
  • PR #3662 Define and implement shift.
  • PR #3861 Added Series.sum feature for String
  • PR #4069 Added cast of numeric columns from/to String
  • PR #3681 Add cudf::experimental::boolean_mask_scatter
  • PR #4040 Add support for n-way merge of sorted tables
  • PR #4053 Multi-column quantiles.
  • PR #4100 Add set_keys function for dictionary columns
  • PR #3894 Add remove_keys functions for dictionary columns
  • PR #4107 Add groupby nunique aggregation
  • PR #4235 Port nvtx.pyx to use non-legacy libcudf APIs
  • PR #4153 Support Dask serialization protocol on cuDF objects
  • PR #4127 Add python API for n-way sorted merge (merge_sorted)
  • PR #4164 Add Buffer "constructor-kwargs" header
  • PR #4172 Add groupby nth aggregation
  • PR #4159 Add COUNT aggregation that includes null values
  • PR #4190 Add libcudf++ transpose Cython implementation
  • PR #4063 Define and implement string capitalize and title API
  • PR #4217 Add libcudf++ quantiles Cython implementation
  • PR #4216 Add cudf.Scalar Python type
  • PR #3782 Add fixed_point class to support DecimalType
  • PR #4272 Add stable sorted order
  • PR #4129 Add libcudf++ interleave_columns and tile Cython implementation
  • PR #4262 Port unaryops.pyx to use libcudf++ APIs
  • PR #4276 Port avro.pyx to libcudf++
  • PR #4259 Ability to create Java host buffers from memory-mapped files
  • PR #4240 Add groupby::groups()
  • PR #4294 Add Series rank and Dataframe rank
  • PR #4304 Add new NVTX infrastructure and add ranges to all top-level compute APIs.
  • PR #4319 Add repartition_by_hash API to dask_cudf
  • PR #4315 ShiftLeft, ShiftRight, ShiftRightUnsigned binops
  • PR #4321 Expose Python Semi and Anti Joins
  • PR #4291 Add Java callback support for RMM events
  • PR #4298 Port orc.pyx to libcudf++
  • PR #4344 Port concat.pyx to libcudf++
  • PR #4329 Add support for dictionary columns in scatter
  • PR #4352 Add factory function make_column_from_scalar
  • PR #4381 Add Java support for copying buffers with asynchronous streams
  • PR #4288 Add libcudf++ shift Cython implementation
  • PR #4338 Add cudf::sequence() for generating an incrementing list of numeric values
  • PR #4456 Add argmin/max and string min/max to sort groupby
  • PR #4564 Added Java bindings for clamp operator.
  • PR #4602 Add Cython bindings for functions in datetime.hpp
  • PR #4670 Add java and JNI bindings for contains_re
  • PR #4363 Grouped Rolling Window support
  • PR #4798 Add UDF support to grouped rolling window
  • PR #3917 Add dictionary add_keys function
  • PR #3842 ORC writer: add support for column statistics
  • PR #4088 Added asString() on ColumnVector in Java that takes a format string
  • PR #4484 Port CSV writer to libcudf++

Improvements

  • PR #4641 Add replace example in dataframe.py and update 10min.ipynb
  • PR #4140 Add cudf series examples and corr() method for dataframe in dataframe.py
  • PR #4187 exposed getNativeView method in Java bindings
  • PR #3525 build.sh option to disable nvtx
  • PR #3748 Optimize hash_partition using shared memory
  • PR #3808 Optimize hash_partition using shared memory and cub block scan
  • PR #3698 Add count_(un)set_bits functions taking multiple ranges and updated slice to compute null counts at once.
  • PR #3909 Move java backend to libcudf++
  • PR #3971 Adding as_table to convert Column to Table in python
  • PR #3910 Adding sinh, cosh, tanh, asinh, acosh, atanh cube root and rint unary support.
  • PR #3972 Add Java bindings for left_semi_join and left_anti_join
  • PR #3975 Simplify and generalize data handling in Buffer
  • PR #3985 Update RMM include files and remove extraneously included header files.
  • PR #3601 Port UDF functionality for rolling windows to libcudf++
  • PR #3911 Adding null boolean handling for copy_if_else
  • PR #4003 Drop old to_device utility wrapper function
  • PR #4002 Adding to_frame and fix for categorical column issue
  • PR #4009 build script update to enable cudf build without installing
  • PR #3897 Port cuIO JSON reader to cudf::column types
  • PR #4008 Eliminate extra copy in column constructor
  • PR #4013 Add cython definition for io readers cudf/io/io_types.hpp
  • PR #4028 Port json.pyx to use new libcudf APIs
  • PR #4014 ORC/Parquet: add count parameter to stripe/rowgroup-based reader API
  • PR #3880 Add aggregation infrastructure support for cudf::reduce
  • PR #4059 Add aggregation infrastructure support for cudf::scan
  • PR #4021 Change quantiles signature for clarity.
  • PR #4057 Handle offsets in cython Column class
  • PR #4045 Reorganize libxx directory
  • PR #4029 Port stream_compaction.pyx to use libcudf++ APIs
  • PR #4031 Docs build scripts and instructions update
  • PR #4062 Improve how java classifiers are produced
  • PR #4038 JNI and Java support for is_nan and is_not_nan
  • PR #3786 Adding string support to rolling_windows
  • PR #4067 Removed unused CATEGORY type ID.
  • PR #3891 Port NVStrings (r)split_record to contiguous_(r)split_record
  • PR #4070 Port NVText normalize_spaces to use libcudf strings column
  • PR #4072 Allow round_robin_partition to single partition
  • PR #4064 Add cudaGetDeviceCount to JNI layer
  • PR #4075 Port nvtext ngrams-tokenize to libcudf++
  • PR #4087 Add support for writing large Parquet files in a chunked manner.
  • PR #3716 Update cudf.to_parquet to use new GPU accelerated Parquet writer
  • PR #4083 Use two partitions in test_groupby_multiindex_reset_index
  • PR #4071 Add Java bindings for round robin partition
  • PR #4079 Simply use mask.size to create the array view
  • PR #4092 Keep mask on GPU for bit unpacking
  • PR #4081 Copy from Buffer's pointer directly to host
  • PR #4105 Change threshold of using optimized hash partition code
  • PR #4101 Redux serialize Buffer directly with __cuda_array_interface__
  • PR #4098 Remove legacy calls from libcudf strings column code
  • PR #4044 Port join.pyx to use libcudf++ APIs
  • PR #4111 Use Buffer's to serialize StringColumn
  • PR #4567 Optimize __reduce__ in StringColumn
  • PR #4590 Register a few more types for Dask serialization
  • PR #4113 Get len of StringColumns without nvstrings
  • PR #4147 Remove workaround for UNKNOWN_NULL_COUNT in contiguous_split.
  • PR #4130 Renames in-place cudf::experimental::fill to cudf::experimental::fill_in_place
  • PR #4136 Add Index.names property
  • PR #4139 Port rolling.pyx to new libcudf APIs
  • PR #4143 Renames in-place cudf::experimental::copy_range to cudf::experimental::copy_range_in_place
  • PR #4144 Release GIL when calling libcudf++ functions
  • PR #4082 Rework MultiColumns in cuDF
  • PR #4149 Use "type-serialized" for pickled types like Dask
  • PR #4174 Port hash groupby to libcudf++
  • PR #4171 Split java host and device vectors to make a vector truly immutable
  • PR #4167 Port search to libcudf++ (support multi-column searchsorted)
  • PR #4163 Assert Dask CUDA serializers have Buffer frames
  • PR #4165 List serializable classes once
  • PR #4168 IO readers: do not create null mask for non-nullable columns
  • PR #4177 Use uint8 type for host array copy of Buffer
  • PR #4183 Update Google Test Execution
  • PR #4182 Rename cuDF serialize functions to be more generic
  • PR #4176 Add option to parallelize setup.py's cythonize
  • PR #4191 Porting sort.pyx to use new libcudf APIs
  • PR #4196 reduce CHANGELOG.md merge conflicts
  • PR #4197 Added notebook testing to gpuCI gpu build
  • PR #4220 Port strings wrap functionality.
  • PR #4204 Port nvtext create-ngrams function
  • PR #4219 Port dlpack.pyx to use new libcudf APIs
  • PR #4225 Remove stale notebooks
  • PR #4233 Porting replace.pyx to use new libcudf APIs
  • PR #4223 Fix a few of the Cython warnings
  • PR #4224 Optimize concatenate for many columns
  • PR #4234 Add BUILD_LEGACY_TESTS cmake option
  • PR #4231 Support for custom cuIO data_sink classes.
  • PR #4251 Add class to docs in dask-cudf derived_from
  • PR #4261 libxx Cython reorganization
  • PR #4274 Support negative position values in slice_strings
  • PR #4282 Porting nvstrings conversion functions from new libcudf++ to Python/Cython
  • PR #4290 Port Parquet to use new libcudf APIs
  • PR #4299 Convert cudf::shift to column-based api
  • PR #4301 Add support for writing large ORC files in a chunked manner
  • PR #4306 Use libcudf++ unary.pyx cast instead of legacy cast
  • PR #4295 Port reduce.pyx to libcudf++ API
  • PR #4305 Move gpuarrow.pyx and related libarrow_cuda files into _libxx
  • PR #4244 Port nvstrings Substring Gather/Scatter functions to cuDF Python/Cython
  • PR #4280 Port nvstrings Numeric Handling functions to cuDF Python/Cython
  • PR #4278 Port filling.pyx to libcudf++ API
  • PR #4328 Add memory threshold callbacks for Java RMM event handler
  • PR #4336 Move a bunch of internal nvstrings code to use native StringColumns
  • PR #4166 Port is_sorted.pyx to use libcudf++ APIs
  • PR #4351 Remove a bunch of internal usage of Numba; set rmm as cupy allocator
  • PR #4333 nvstrings case/capitalization cython bindings
  • PR #4345 Removed an undesirable backwards include from /include to /src in cuIO writers.hpp
  • PR #4367 Port copying.pyx to use new libcudf
  • PR #4362 Move pq_chunked_state struct into it's own header to match how orc writer is doing it.
  • PR #4339 Port libcudf strings wrap api to cython/python
  • PR #4236 Update dask_cudf.io.to_parquet to use cudf to_parquet
  • PR #4311 Port nvstrings String Manipulations functions to cuDF Python/Cython
  • PR #4373 Port nvstrings Regular Expressions functions to cuDF Python/Cython
  • PR #4308 Replace dask_cudf sort_values and improve set_index
  • PR #4407 Enable .str.slice & .str.get and .str.zfill unit-tests
  • PR #4412 Require Dask + Distributed 2.12.0+
  • PR #4377 Support loading avro files that contain nested arrays
  • PR #4436 Enable .str.cat and fix .str.split on python side
  • PR #4405 Port nvstrings (Sub)string Comparisons functions to cuDF Python/Cython
  • PR #4316 Add Java and JNI bindings for substring expression
  • PR #4314 Add Java and JNI bindings for string contains
  • PR #4461 Port nvstrings Miscellaneous functions to cuDF Python/Cython
  • PR #4495 Port nvtext to cuDF Python/Cython
  • PR #4503 Port binaryop.pyx to libcudf++ API
  • PR #4499 Adding changes to handle include keep_index and RangeIndex
  • PR #4533 Import tlz for optional cytoolz support
  • PR #4493 Skip legacy testing in CI
  • PR #4346 Port groupby Cython/Python to use libcudf++ API
  • PR #4524 Updating __setitem__ for DataFrame to use scalar scatter
  • PR #4611 Fix to use direct slicing in iloc for multiindex than using gather under _get_row_major
  • PR #4534 Disable deprecation warnings as errors.
  • PR #4542 Remove RMM init/finalize in cudf test fixture.
  • PR #4506 Check for multi-dimensional data in column/Series creation
  • PR #4549 Add option to disable deprecation warnings.
  • PR #4516 Add negative value support for .str.get
  • PR #4563 Remove copying to host for metadata generation in generate_pandas_metadata
  • PR #4554 Removed raw RMM allocation from column_device_view
  • PR #4619 Remove usage of nvstrings in data_array_view
  • PR #4654 Upgrade version of numba required to >=0.48.0
  • PR #4035 Port NVText tokenize function to libcudf++
  • PR #4042 Port cudf/io/functions.hpp to Cython for use in IO bindings
  • PR #4058 Port hash.pyx to use libcudf++ APIs
  • PR #4133 Mask cleanup and fixes: use int32 dtype, ensure 64 byte padding, handle offsets

Bug Fixes

  • PR #3888 Drop ptr=None from DeviceBuffer call
  • PR #3976 Fix string serialization and memory_usage method to be consistent
  • PR #3902 Fix conversion of large size GPU array to dataframe
  • PR #3953 Fix overflow in column_buffer when computing the device buffer size
  • PR #3959 Add missing hash-dispatch function for cudf.Series
  • PR #3970 Fix for Series Pickle
  • PR #3964 Restore legacy NVStrings and NVCategory dependencies in Java jar
  • PR #3982 Fix java unary op enum and add missing ops
  • PR #3999 Fix issue serializing empty string columns (java)
  • PR #3979 Add name to Series serialize and deserialize
  • PR #4005 Fix null mask allocation bug in gather_bitmask
  • PR #4000 Fix dask_cudf sort_values performance for single partitions
  • PR #4007 Fix for copy_bitmask issue with uninitialized device_buffer
  • PR #4037 Fix JNI quantile compile issue
  • PR #4054 Fixed JNI to deal with reduction API changes
  • PR #4052 Fix for round-robin when num_partitions divides nrows.
  • PR #4061 Add NDEBUG guard on constexpr_assert.
  • PR #4049 Fix cudf::split issue returning one less than expected column vectors
  • PR #4065 Parquet writer: fix for out-of-range dictionary indices
  • PR #4066 Fixed mismatch with dtype enums
  • PR #4078 Fix joins for when column_in_common input parameter is empty
  • PR #4080 Fix multi-index dask test with sort issue
  • PR #4084 Update Java for removal of CATEGORY type
  • PR #4086 ORC reader: fix potentially incorrect timestamp decoding in the last rowgroup
  • PR #4089 Fix dask groupby mutliindex test case issues in join
  • PR #4097 Fix strings concatenate logic with column offsets
  • PR #4076 All null string entries should have null data buffer
  • PR #4109 Use rmm::device_vector instead of thrust::device_vector
  • PR #4113 Use .nvstrings in StringColumn.sum(...)
  • PR #4116 Fix a bug in contiguous_split() where tables with mixed column types could corrupt string output
  • PR #4125 Fix type enum to account for added Dictionary type in types.hpp
  • PR #4132 Fix hash_partition null mask allocation
  • PR #4137 Update Java for mutating fill and rolling window changes
  • PR #4184 Add missing except+ to Cython bindings
  • PR #4141 Fix NVStrings test_convert failure in 10.2 build
  • PR #4156 Make fill/copy_range no-op on empty columns
  • PR #4158 Fix merge issue with empty table return if one of the two tables are empty
  • PR #4162 Properly handle no index metadata generation for to_parquet
  • PR #4175 Fix __sizeof__ calculation in StringColumn
  • PR #4155 Update groupby group_offsets size and fix unnecessary device dispatch.
  • PR #4186 Fix from_timestamps 12-hour specifiers support
  • PR #4198 Fix constructing RangeIndex from range
  • PR #4192 Parquet writer: fix OOB read when computing string hash
  • PR #4201 Fix java window tests
  • PR #4199 Fix potential race condition in memcpy_block
  • PR #4221 Fix series dict alignment to not drop index name
  • PR #4218 Fix get_aggregation definition with except *
  • PR #4215 Fix performance regression in strings::detail::concatenate
  • PR #4214 Alter ValueError exception for GPU accelerated Parquet writer to properly report categorical columns are not supported.
  • PR #4232 Fix handling empty tuples of children in string columns
  • PR #4222 Fix no-return compile error in binop-null-test
  • PR #4242 Fix for rolling tests CI failure
  • PR #4245 Fix race condition in parquet reader
  • PR #4253 Fix dictionary decode and set_keys with column offset
  • PR #4258 Fix dask-cudf losing index name in reset_index
  • PR #4268 Fix java build for hash aggregate
  • PR #4275 Fix bug in searching nullable values in non-nullable search space in upper_bound
  • PR #4273 Fix losing StringIndex name in dask _meta_nonempty
  • PR #4279 Fix converting np.float64 to Scalar
  • PR #4285 Add init files for cython pkgs and fix setup.py
  • PR #4287 Parquet reader: fix empty string potentially read as null
  • PR #4310 Fix empty values case in groupby
  • PR #4297 Fix specification of package_data in setup.py
  • PR #4302 Fix _is_local_filesystem check
  • PR #4303 Parquet reader: fix empty columns missing from table
  • PR #4317 Fix fill() when using string_scalar with an empty string
  • PR #4324 Fix slice_strings for out-of-range start position value
  • PR #4115 Serialize an empty column table with non zero rows
  • PR #4327 Preemptive dispatch fix for changes in dask#5973
  • PR #4379 Correct regex reclass count variable to number of pairs instead of the number of literals
  • PR #4364 Fix libcudf zfill strings to ignore '+/-' chars
  • PR #4358 Fix strings::concat where narep is an empty string
  • PR #4369 Fix race condition in gpuinflate
  • PR #4390 Disable ScatterValid and ScatterNull legacy tests
  • PR #4399 Make scalar destructor virtual.
  • PR #4398 Fixes the failure in groupby in MIN/MAX on strings when some groups are empty
  • PR #4406 Fix sorted merge issue with null values and ascending=False
  • PR #4445 Fix string issue for parquet reader and support keep_index for scatter_to_tables
  • PR #4423 Tighten up Dask serialization checks
  • PR #4537 Use elif in Dask deserialize check
  • PR #4682 Include frame lengths in Dask serialized header
  • PR #4438 Fix repl-template error for replace_with_backrefs
  • PR #4434 Fix join_strings logic with all-null strings and non-null narep
  • PR #4465 Fix use_pandas_index having no effect in libcudf++ parquet reader
  • PR #4464 Update Cmake to always link in libnvToolsExt
  • PR #4467 Fix dropna issue for a DataFrame having np.nan
  • PR #4480 Fix string_scalar.value to return an empty string_view for empty string-scalar
  • PR #4474 Fix to not materialize RangeIndex in copy_categories
  • PR #4496 Skip tests which require 2+ GPUs
  • PR #4494 Update Java memory event handler for new RMM resource API
  • PR #4505 Fix 0 length buffers during serialization
  • PR #4482 Fix .str.rsplit, .str.split, .str.find, .str.rfind, .str.index, .str.rindex and enable related tests
  • PR #4513 Backport scalar virtual destructor fix
  • PR #4519 Remove n validation for nlargest & nsmallest and add negative support for n
  • PR #4596 Fix _popn issue with performance
  • PR #4526 Fix index slicing issue for index incase of an empty dataframe
  • PR #4538 Fix cudf::strings::slice_strings(step=-1) for empty strings
  • PR #4557 Disable compile-errors on deprecation warnings, for JNI
  • PR #4669 Fix dask_cudf categorical nonempty meta handling
  • PR #4576 Fix typo in serialize.py
  • PR #4571 Load JNI native dependencies for Scalar class
  • PR #4598 Fix to handle pd.DataFrame in DataFrame.__init__
  • PR #4594 Fix exec dangling pointer issue in legacy groupby
  • PR #4591 Fix issue when reading consecutive rowgroups
  • PR #4600 Fix missing include in benchmark_fixture.hpp
  • PR #4588 Fix ordering issue in MultiIndex
  • PR #4632 Fix handling of empty inputs to concatenate
  • PR #4630 Remove dangling reference to RMM exec policy in drop duplicates tests.
  • PR #4625 Fix hash-based repartition bug in dask_cudf
  • PR #4662 Fix to handle keep_index in partition_by_hash
  • PR #4683 Fix Slicing issue with categorical column in DataFrame
  • PR #4676 Fix bug in _shuffle_group for repartition
  • PR #4681 Fix test_repr tests that were generating a RangeIndex for column names
  • PR #4729 Fix fsspec versioning to prevent dask test failures
  • PR #4145 Support empty index case in DataFrame._from_table
  • PR #4108 Fix dtype bugs in dask_cudf metadata (metadata_nonempty overhaul)
  • PR #4138 Really fix strings concatenate logic with column offsets
  • PR #4119 Fix binary ops slowdown using jitify -remove-unused-globals

cuDF 0.12.0 (04 Feb 2020)

New Features

  • PR #3759 Updated 10 Minutes with clarification on how dask_cudf uses cudf API
  • PR #3224 Define and implement new join APIs.
  • PR #3284 Add gpu-accelerated parquet writer
  • PR #3254 Python redesign for libcudf++
  • PR #3336 Add from_dlpack and to_dlpack
  • PR #3555 Add column names support to libcudf++ io readers and writers
  • PR #3527 Add string functionality for merge API
  • PR #3610 Add memory_usage to DataFrame and Series APIs
  • PR #3557 Add contiguous_split() function.
  • PR #3619 Support CuPy 7
  • PR #3604 Add nvtext ngrams-tokenize function
  • PR #3403 Define and implement new stack + tile APIs
  • PR #3627 Adding cudf::sort and cudf::sort_by_key
  • PR #3597 Implement new sort based groupby
  • PR #3776 Add column equivalence comparator (using epsilon for float equality)
  • PR #3667 Define and implement round-robin partition API.
  • PR #3690 Add bools_to_mask
  • PR #3761 Introduce a Frame class and make Index, DataFrame and Series subclasses
  • PR #3538 Define and implement left semi join and left anti join
  • PR #3683 Added support for multiple delimiters in nvtext.token_count()
  • PR #3792 Adding is_nan and is_notnan
  • PR #3594 Adding clamp support to libcudf++

Improvements

  • PR #3124 Add support for grand-children in cudf column classes
  • PR #3292 Port NVStrings regex contains function
  • PR #3409 Port NVStrings regex replace function
  • PR #3417 Port NVStrings regex findall function
  • PR #3351 Add warning when filepath resolves to multiple files in cudf readers
  • PR #3370 Port NVStrings strip functions
  • PR #3453 Port NVStrings IPv4 convert functions to cudf strings column
  • PR #3441 Port NVStrings url encode/decode to cudf strings column
  • PR #3364 Port NVStrings split functions
  • PR #3463 Port NVStrings partition/rpartition to cudf strings column
  • PR #3502 ORC reader: add option to read DECIMALs as INT64
  • PR #3461 Add a new overload to allocate_like() that takes explicit type and size params.
  • PR #3590 Specialize hash functions for floating point
  • PR #3569 Use np.asarray in StringColumn.deserialize
  • PR #3553 Support Python NoneType in numeric binops
  • PR #3511 Support DataFrame / Series mixed arithmetic
  • PR #3567 Include strides in __cuda_array_interface__
  • PR #3608 Update OPS codeowner group name
  • PR #3431 Port NVStrings translate to cudf strings column
  • PR #3507 Define and implement new binary operation APIs
  • PR #3620 Add stream parameter to unary ops detail API
  • PR #3593 Adding begin/end for mutable_column_device_view
  • PR #3587 Merge CHECK_STREAM & CUDA_CHECK_LAST to CHECK_CUDA
  • PR #3733 Rework hash_partition API
  • PR #3655 Use move with make_pair to avoid copy construction
  • PR #3402 Define and implement new quantiles APIs
  • PR #3612 Add ability to customize the JIT kernel cache path
  • PR #3647 Remove PatchedNumbaDeviceArray with CuPy 6.6.0
  • PR #3641 Remove duplicate definitions of CUDA_DEVICE_CALLABLE
  • PR #3640 Enable memory_usage in dask_cudf (also adds pd.Index from_pandas)
  • PR #3654 Update Jitify submodule ref to include gcc-8 fix
  • PR #3639 Define and implement nans_to_nulls
  • PR #3561 Rework contains implementation in search
  • PR #3616 Add aggregation infrastructure for argmax/argmin.
  • PR #3673 Parquet reader: improve rounding of timestamp conversion to seconds
  • PR #3699 Stringify libcudacxx headers for binary op JIT
  • PR #3697 Improve column insert performance for wide frames
  • PR #3653 Make gather_bitmask_kernel more reusable.
  • PR #3710 Remove multiple CMake configuration steps from root build script
  • PR #3657 Define and implement compiled binops for string column comparisons
  • PR #3520 Change read_parquet defaults and add warnings
  • PR #3780 Java APIs for selecting a GPU
  • PR #3796 Improve on round-robin with the case when number partitions greater than number of rows.
  • PR #3805 Avoid CuPy 7.1.0 for now
  • PR #3758 detail::scatter variant with map iterator support
  • PR #3882 Fail loudly when creating a StringColumn from nvstrings with > MAX_VAL(int32) bytes
  • PR #3823 Add header file for detail search functions
  • PR #2438 Build GBench Benchmarks in CI
  • PR #3713 Adding aggregation support to rolling_window
  • PR #3875 Add abstract sink for IO writers, used by ORC and Parquet writers for now
  • PR #3916 Refactor gather bindings

Bug Fixes

  • PR #3618 Update 10 minutes to cudf and cupy to hide warning that were being shown in the docs
  • PR #3550 Update Java package to 0.12
  • PR #3549 Fix index name issue with iloc with RangeIndex
  • PR #3562 Fix 4GB limit for gzipped-compressed csv files
  • PR #2981 enable build.sh to build all targets without installation
  • PR #3563 Use __cuda_array_interface__ for serialization
  • PR #3564 Fix cuda memory access error in gather_bitmask_kernel
  • PR #3548 Replaced CUDA_RT_CALL with CUDA_TRY
  • PR #3486 Pandas > 0.25 compatability
  • PR #3622 Fix new warnings and errors when building with gcc-8
  • PR #3588 Remove avro reader column order reversal
  • PR #3629 Fix hash map test failure
  • PR #3637 Fix sorted set_index operations in dask_cudf
  • PR #3663 Fix libcudf++ ORC reader microseconds and milliseconds conversion
  • PR #3668 Fixing CHECK_CUDA debug build issue
  • PR #3684 Fix ends_with logic for matching string case
  • PR #3691 Fix create_offsets to handle offset correctly
  • PR #3687 Fixed bug while passing input GPU memory pointer in nvtext.scatter_count()
  • PR #3701 Fix hash_partition hashing all columns instead of columns_to_hash
  • PR #3694 Allow for null columns parameter in csv_writer
  • PR #3706 Removed extra type-dispatcher call from merge
  • PR #3704 Changed the default delimiter to whitespace for nvtext methods.
  • PR #3741 Construct DataFrame from dict-of-Series with alignment
  • PR #3724 Update rmm version to match release
  • PR #3743 Fix for None data in __array_interface__
  • PR #3731 Fix performance of zero sized dataframe slice
  • PR #3709 Fix inner_join incorrect result issue
  • PR #3734 Update numba to 0.46 in conda files
  • PR #3738 Update libxx cython types.hpp path
  • PR #3672 Fix to_host issue with column_view having offset
  • PR #3730 CSV reader: Set invalid float values to NaN/null
  • PR #3670 Floor when casting between timestamps of different precisions
  • PR #3728 Fix apply_boolean_mask issue with non-null string column
  • PR #3769 Don't look for a name attribute in column
  • PR #3783 Bind cuDF operators to Dask Dataframe
  • PR #3775 Fix segfault when reading compressed CSV files larger than 4GB
  • PR #3799 Align indices of Series inputs when adding as columns to DataFrame
  • PR #3803 Keep name when unpickling Index objects
  • PR #3804 Fix cuda crash in AVRO reader
  • PR #3766 Remove references to cudf::type_id::CATEGORY from IO code
  • PR #3817 Don't always deepcopy an index
  • PR #3821 Fix OOB read in gpuinflate prefetcher
  • PR #3829 Parquet writer: fix empty dataframe causing cuda launch errors
  • PR #3835 Fix memory leak in Cython when dealing with nulls in string columns
  • PR #3866 Remove unnecessary if check in NVStrings.create_offsets
  • PR #3858 Fixes the broken debug build after #3728
  • PR #3850 Fix merge typecast scope issue and resulting memory leak
  • PR #3855 Fix MultiColumn recreation with reset_index
  • PR #3869 Fixed size calculation in NVStrings::byte_count()
  • PR #3868 Fix apply_grouped moving average example
  • PR #3900 Properly link NVStrings and NVCategory into tests
  • PR #3868 Fix apply_grouped moving average example
  • PR #3871 Fix split_out error
  • PR #3886 Fix string column materialization from column view
  • PR #3893 Parquet reader: fix segfault reading empty parquet file
  • PR #3931 Dask-cudf groupby .agg multicolumn handling fix
  • PR #4017 Fix memory leaks in GDF_STRING cython handling and nans_to_nulls cython

cuDF 0.11.0 (11 Dec 2019)

New Features

  • PR #2905 Added Series.median() and null support for Series.quantile()
  • PR #2930 JSON Reader: Support ARROW_RANDOM_FILE input
  • PR #2956 Add cudf::stack and cudf::tile
  • PR #2980 Added nvtext is_vowel/is_consonant functions
  • PR #2987 Add inplace arg to DataFrame.reset_index and Series
  • PR #3011 Added libcudf++ transition guide
  • PR #3129 Add strings column factory from std::vectors
  • PR #3054 Add parquet reader support for decimal data types
  • PR #3022 adds DataFrame.astype for cuDF dataframes
  • PR #2962 Add isnull(), notnull() and related functions
  • PR #3025 Move search files to legacy
  • PR #3068 Add scalar class
  • PR #3094 Adding any and all support from libcudf
  • PR #3130 Define and implement new column_wrapper
  • PR #3143 Define and implement new copying APIs slice and split
  • PR #3161 Move merge files to legacy
  • PR #3079 Added support to write ORC files given a local path
  • PR #3192 Add dtype param to cast DataFrame on init
  • PR #3213 Port cuIO to libcudf++
  • PR #3222 Add nvtext character tokenizer
  • PR #3223 Java expose underlying buffers
  • PR #3300 Add DataFrame.insert
  • PR #3263 Define and implement new valid_if
  • PR #3278 Add to_host utility to copy column_view to host
  • PR #3087 Add new cudf::experimental bool8 wrapper
  • PR #3219 Construct column from column_view
  • PR #3250 Define and implement new merge APIs
  • PR #3144 Define and implement new hashing APIs hash and hash_partition
  • PR #3229 Define and implement new search APIs
  • PR #3308 java add API for memory usage callbacks
  • PR #2691 Row-wise reduction and scan operations via CuPy
  • PR #3291 Add normalize_nans_and_zeros
  • PR #3187 Define and implement new replace APIs
  • PR #3356 Add vertical concatenation for table/columns
  • PR #3344 java split API
  • PR #2791 Add groupby.std()
  • PR #3368 Enable dropna argument in dask_cudf groupby
  • PR #3298 add null replacement iterator for column_device_view
  • PR #3297 Define and implement new groupby API.
  • PR #3396 Update device_atomics with new bool8 and timestamp specializations
  • PR #3411 Java host memory management API
  • PR #3393 Implement df.cov and enable covariance/correlation in dask_cudf
  • PR #3401 Add dask_cudf ORC writer (to_orc)
  • PR #3331 Add copy_if_else
  • PR #3427 Define and Implement new multi-search API
  • PR #3442 Add Bool-index + Multi column + DataFrame support for set-item
  • PR #3172 Define and implement new fill/repeat/copy_range APIs
  • PR #3490 Add pair iterators for columns
  • PR #3497 Add DataFrame.drop(..., inplace=False) argument
  • PR #3469 Add string functionality for replace API
  • PR #3273 Define and implement new reduction APIs

Improvements

  • PR #2904 Move gpu decompressors to cudf::io namespace
  • PR #2977 Moved old C++ test utilities to legacy directory.
  • PR #2965 Fix slow orc reader perf with large uncompressed blocks
  • PR #2995 Move JIT type utilities to legacy directory
  • PR #2927 Add Table and TableView extension classes that wrap legacy cudf::table
  • PR #3005 Renames cudf::exp namespace to cudf::experimental
  • PR #3008 Make safe versions of is_null and is_valid in column_device_view
  • PR #3026 Move fill and repeat files to legacy
  • PR #3027 Move copying.hpp and related source to legacy folder
  • PR #3014 Snappy decompression optimizations
  • PR #3032 Use asarray to coerce indices to a NumPy array
  • PR #2996 IO Readers: Replace cuio::device_buffer with rmm::device_buffer
  • PR #3051 Specialized hash function for strings column
  • PR #3065 Select and Concat for cudf::experimental::table
  • PR #3080 Move valid_if.cuh to legacy/
  • PR #3052 Moved replace.hpp functionality to legacy
  • PR #3091 Move join files to legacy
  • PR #3092 Implicitly init RMM if Java allocates before init
  • PR #3029 Update gdf_ numeric types with stdint and move to cudf namespace
  • PR #3052 Moved replace.hpp functionality to legacy
  • PR #2955 Add cmake option to only build for present GPU architecture
  • PR #3070 Move functions.h and related source to legacy
  • PR #2951 Allow set_index to handle a list of column names
  • PR #3093 Move groupby files to legacy
  • PR #2988 Removing GIS functionality (now part of cuSpatial library)
  • PR #3067 Java method to return size of device memory buffer
  • PR #3083 Improved some binary operation tests to include null testing.
  • PR #3084 Update to arrow-cpp and pyarrow 0.15.0
  • PR #3071 Move cuIO to legacy
  • PR #3126 Round 2 of snappy decompression optimizations
  • PR #3046 Define and implement new copying APIs empty_like and allocate_like
  • PR #3128 Support MultiIndex in DataFrame.join
  • PR #2971 Added initial gather and scatter methods for strings_column_view
  • PR #3133 Port NVStrings to cudf column: count_characters and count_bytes
  • PR #2991 Added strings column functions concatenate and join_strings
  • PR #3028 Define and implement new gather APIs.
  • PR #3135 Add nvtx utilities to cudf::nvtx namespace
  • PR #3021 Java host side concat of serialized buffers
  • PR #3138 Move unary files to legacy
  • PR #3170 Port NVStrings substring functions to cudf strings column
  • PR #3159 Port NVStrings is-chars-types function to cudf strings column
  • PR #3154 Make table_view_base.column() const and add mutable_table_view.column()
  • PR #3175 Set cmake cuda version variables
  • PR #3171 Move deprecated error macros to legacy
  • PR #3191 Port NVStrings integer convert ops to cudf column
  • PR #3189 Port NVStrings find ops to cudf column
  • PR #3352 Port NVStrings convert float functions to cudf strings column
  • PR #3193 Add cuPy as a formal dependency
  • PR #3195 Support for zero columned table_view
  • PR #3165 Java device memory size for string category
  • PR #3205 Move transform files to legacy
  • PR #3202 Rename and move error.hpp to public headers
  • PR #2878 Use upstream merge code in dask_cudf
  • PR #3217 Port NVStrings upper and lower case conversion functions
  • PR #3350 Port NVStrings booleans convert functions
  • PR #3231 Add column::release() to give up ownership of contents.
  • PR #3157 Use enum class rather than enum for mask_allocation_policy
  • PR #3232 Port NVStrings datetime conversion to cudf strings column
  • PR #3136 Define and implement new transpose API
  • PR #3237 Define and implement new transform APIs
  • PR #3245 Move binaryop files to legacy
  • PR #3241 Move stream_compaction files to legacy
  • PR #3166 Move reductions to legacy
  • PR #3261 Small cleanup: remove == true
  • PR #3271 Update rmm API based on rmm.reinitialize(...) change
  • PR #3266 Remove optional checks for CuPy
  • PR #3268 Adding null ordering per column feature when sorting
  • PR #3239 Adding floating point specialization to comparators for NaNs
  • PR #3270 Move predicates files to legacy
  • PR #3281 Add to_host specialization for strings in column test utilities
  • PR #3282 Add num_bitmask_words
  • PR #3252 Add new factory methods to include passing an existing null mask
  • PR #3288 Make bit.cuh utilities usable from host code.
  • PR #3287 Move rolling windows files to legacy
  • PR #3182 Define and implement new unary APIs is_null and is_not_null
  • PR #3314 Drop cython from run requirements
  • PR #3301 Add tests for empty column wrapper.
  • PR #3294 Update to arrow-cpp and pyarrow 0.15.1
  • PR #3310 Add row_hasher and element_hasher utilities
  • PR #3272 Support non-default streams when creating/destroying hash maps
  • PR #3286 Clean up the starter code on README
  • PR #3332 Port NVStrings replace to cudf strings column
  • PR #3354 Define and implement new scatter APIs
  • PR #3322 Port NVStrings pad operations to cudf strings column
  • PR #3345 Add cache member for number of characters in string_view class
  • PR #3299 Define and implement new is_sorted APIs
  • PR #3328 Partition by stripes in dask_cudf ORC reader
  • PR #3243 Use upstream join code in dask_cudf
  • PR #3371 Add select method to table_view
  • PR #3309 Add java and JNI bindings for search bounds
  • PR #3305 Define and implement new rolling window APIs
  • PR #3380 Concatenate columns of strings
  • PR #3382 Add fill function for strings column
  • PR #3391 Move device_atomics_tests.cu files to legacy
  • PR #3303 Define and implement new stream compaction APIs copy_if, drop_nulls, apply_boolean_mask, drop_duplicate and unique_count.
  • PR #3387 Strings column gather function
  • PR #3440 Strings column scatter function
  • PR #3389 Move quantiles.hpp + group_quantiles.hpp files to legacy
  • PR #3397 Port unary cast to libcudf++
  • PR #3398 Move reshape.hpp files to legacy
  • PR #3395 Port NVStrings regex extract to cudf strings column
  • PR #3423 Port NVStrings htoi to cudf strings column
  • PR #3425 Strings column copy_if_else implementation
  • PR #3422 Move utilities to legacy
  • PR #3201 Define and implement new datetime_ops APIs
  • PR #3421 Port NVStrings find_multiple to cudf strings column
  • PR #3448 Port scatter_to_tables to libcudf++
  • PR #3458 Update strings sections in the transition guide
  • PR #3462 Add make_empty_column and update empty_like.
  • PR #3465 Port aggregation traits and utilities.
  • PR #3214 Define and implement new unary operations APIs
  • PR #3475 Add bitmask_to_host column utility
  • PR #3487 Add is_boolean trait and random timestamp generator for testing
  • PR #3492 Small cleanup (remove std::abs) and comment
  • PR #3407 Allow multiple row-groups per task in dask_cudf read_parquet
  • PR #3512 Remove unused CUDA conda labels
  • PR #3500 cudf::fill()/cudf::repeat() support for strings columns.
  • PR #3438 Update scalar and scalar_device_view to better support strings
  • PR #3414 Add copy_range function for strings column
  • PR #3685 Add string support to contiguous_split.
  • PR #3471 Add scalar/column, column/scalar and scalar/scalar overloads to copy_if_else.
  • PR #3451 Add support for implicit typecasting of join columns

Bug Fixes

  • PR #2895 Fixed dask_cudf group_split behavior to handle upstream rearrange_by_divisions
  • PR #3048 Support for zero columned tables
  • PR #3030 Fix snappy decoding regression in PR #3014
  • PR #3041 Fixed exp to experimental namespace name change issue
  • PR #3056 Add additional cmake hint for finding local build of RMM files
  • PR #3060 Move copying.hpp includes to legacy
  • PR #3139 Fixed java RMM auto initalization
  • PR #3141 Java fix for relocated IO headers
  • PR #3149 Rename column_wrapper.cuh to column_wrapper.hpp
  • PR #3168 Fix mutable_column_device_view head const_cast
  • PR #3199 Update JNI includes for legacy moves
  • PR #3204 ORC writer: Fix ByteRLE encoding of NULLs
  • PR #2994 Fix split_out-support but with hash_object_dispatch
  • PR #3212 Fix string to date casting when format is not specified
  • PR #3218 Fixes row_lexicographic_comparator issue with handling two tables
  • PR #3228 Default initialize RMM when Java native dependencies are loaded
  • PR #3012 replacing instances of to_gpu_array with mem
  • PR #3236 Fix Numba 0.46+/CuPy 6.3 interface compatibility
  • PR #3276 Update JNI includes for legacy moves
  • PR #3256 Fix orc writer crash with multiple string columns
  • PR #3211 Fix breaking change caused by rapidsai/rmm#167
  • PR #3265 Fix dangling pointer in is_sorted
  • PR #3267 ORC writer: fix incorrect ByteRLE encoding of long literal runs
  • PR #3277 Fix invalid reference to deleted temporary in is_sorted.
  • PR #3274 ORC writer: fix integer RLEv2 mode2 unsigned base value encoding
  • PR #3279 Fix shutdown hang issues with pinned memory pool init executor
  • PR #3280 Invalid children check in mutable_column_device_view
  • PR #3289 fix java memory usage API for empty columns
  • PR #3293 Fix loading of csv files zipped on MacOS (disabled zip min version check)
  • PR #3295 Fix storing storing invalid RMM exec policies.
  • PR #3307 Add pd.RangeIndex to from_pandas to fix dask_cudf meta_nonempty bug
  • PR #3313 Fix public headers including non-public headers
  • PR #3318 Revert arrow to 0.15.0 temporarily to unblock downstream projects CI
  • PR #3317 Fix index-argument bug in dask_cudf parquet reader
  • PR #3323 Fix insert non-assert test case
  • PR #3341 Fix Series constructor converting NoneType to "None"
  • PR #3326 Fix and test for detail::gather map iterator type inference
  • PR #3334 Remove zero-size exception check from make_strings_column factories
  • PR #3333 Fix compilation issues with constexpr functions not marked __device__
  • PR #3340 Make all benchmarks use cudf base fixture to initialize RMM pool
  • PR #3337 Fix Java to pad validity buffers to 64-byte boundary
  • PR #3362 Fix find_and_replace upcasting series for python scalars and lists
  • PR #3357 Disabling column_view iterators for non fixed-width types
  • PR #3383 Fix : properly compute null counts for rolling_window.
  • PR #3386 Removing external includes from column_view.hpp
  • PR #3369 Add write_partition to dask_cudf to fix to_parquet bug
  • PR #3388 Support getitem with bools when DataFrame has a MultiIndex
  • PR #3408 Fix String and Column (De-)Serialization
  • PR #3372 Fix dask-distributed scatter_by_map bug
  • PR #3419 Fix a bug in parse_into_parts (incomplete input causing walking past the end of string).
  • PR #3413 Fix dask_cudf read_csv file-list bug
  • PR #3416 Fix memory leak in ColumnVector when pulling strings off the GPU
  • PR #3424 Fix benchmark build by adding libcudacxx to benchmark's CMakeLists.txt
  • PR #3435 Fix diff and shift for empty series
  • PR #3439 Fix index-name bug in StringColumn concat
  • PR #3445 Fix ORC Writer default stripe size
  • PR #3459 Fix printing of invalid entries
  • PR #3466 Fix gather null mask allocation for invalid index
  • PR #3468 Fix memory leak issue in drop_duplicates
  • PR #3474 Fix small doc error in capitalize Docs
  • PR #3491 Fix more doc errors in NVStrings
  • PR #3478 Fix as_index deep copy via Index.rename inplace arg
  • PR #3476 Fix ORC reader timezone conversion
  • PR #3188 Repr slices up large DataFrames
  • PR #3519 Fix strings column concatenate handling zero-sized columns
  • PR #3530 Fix copy_if_else test case fail issue
  • PR #3523 Fix lgenfe issue with debug build
  • PR #3532 Fix potential use-after-free in cudf parquet reader
  • PR #3540 Fix unary_op null_mask bug and add missing test cases
  • PR #3559 Use HighLevelGraph api in DataFrame constructor (Fix upstream compatibility)
  • PR #3572 Fix CI Issue with hypothesis tests that are flaky

cuDF 0.10.0 (16 Oct 2019)

New Features

  • PR #2423 Added groupby.quantile()
  • PR #2522 Add Java bindings for NVStrings backed upper and lower case mutators
  • PR #2605 Added Sort based groupby in libcudf
  • PR #2607 Add Java bindings for parsing JSON
  • PR #2629 Add dropna= parameter to groupby
  • PR #2585 ORC & Parquet Readers: Remove millisecond timestamp restriction
  • PR #2507 Add GPU-accelerated ORC Writer
  • PR #2559 Add Series.tolist()
  • PR #2653 Add Java bindings for rolling window operations
  • PR #2480 Merge custreamz codebase into cudf repo
  • PR #2674 Add contains for Index/Series/Column
  • PR #2635 Add support to read from remote and cloud sources like s3, gcs, hdfs
  • PR #2722 Add Java bindings for NVTX ranges
  • PR #2702 Add make_bool to dataset generation functions
  • PR #2394 Move rapidsai/custrings into cudf
  • PR #2734 Final sync of custrings source into cudf
  • PR #2724 Add libcudf support for contains
  • PR #2777 Add python bindings for porter stemmer measure functionality
  • PR #2781 Add issorted to is_monotonic
  • PR #2685 Add cudf::scatter_to_tables and cython binding
  • PR #2743 Add Java bindings for NVStrings timestamp2long as part of String ColumnVector casting
  • PR #2785 Add nvstrings Python docs
  • PR #2786 Add benchmarks option to root build.sh
  • PR #2802 Add cudf::repeat() and cudf.Series.repeat()
  • PR #2773 Add Fisher's unbiased kurtosis and skew for Series/DataFrame
  • PR #2748 Parquet Reader: Add option to specify loading of PANDAS index
  • PR #2807 Add scatter_by_map to DataFrame python API
  • PR #2836 Add nvstrings.code_points method
  • PR #2844 Add Series/DataFrame notnull
  • PR #2858 Add GTest type list utilities
  • PR #2870 Add support for grouping by Series of arbitrary length
  • PR #2719 Series covariance and Pearson correlation
  • PR #2207 Beginning of libcudf overhaul: introduce new column and table types
  • PR #2869 Add cudf.CategoricalDtype
  • PR #2838 CSV Reader: Support ARROW_RANDOM_FILE input
  • PR #2655 CuPy-based Series and Dataframe .values property
  • PR #2803 Added edit_distance_matrix() function to calculate pairwise edit distance for each string on a given nvstrings object.
  • PR #2811 Start of cudf strings column work based on 2207
  • PR #2872 Add Java pinned memory pool allocator
  • PR #2969 Add findAndReplaceAll to ColumnVector
  • PR #2814 Add Datetimeindex.weekday
  • PR #2999 Add timestamp conversion support for string categories
  • PR #2918 Add cudf::column timestamp wrapper types

Improvements

  • PR #2578 Update legacy_groupby to use libcudf group_by_without_aggregation
  • PR #2581 Removed managed allocator from hash map classes.
  • PR #2571 Remove unnecessary managed memory from gdf_column_concat
  • PR #2648 Cython/Python reorg
  • PR #2588 Update Series.append documentation
  • PR #2632 Replace dask-cudf set_index code with upstream
  • PR #2682 Add cudf.set_allocator() function for easier allocator init
  • PR #2642 Improve null printing and testing
  • PR #2747 Add missing Cython headers / cudftestutil lib to conda package for cuspatial build
  • PR #2706 Compute CSV format in device code to speedup performance
  • PR #2673 Add support for np.longlong type
  • PR #2703 move dask serialization dispatch into cudf
  • PR #2728 Add YYMMDD to version tag for nightly conda packages
  • PR #2729 Handle file-handle input in to_csv
  • PR #2741 CSV Reader: Move kernel functions into its own file
  • PR #2766 Improve nvstrings python cmake flexibility
  • PR #2756 Add out_time_unit option to csv reader, support timestamp resolutions
  • PR #2771 Stopgap alias for to_gpu_matrix()
  • PR #2783 Support mapping input columns to function arguments in apply kernels
  • PR #2645 libcudf unique_count for Series.nunique
  • PR #2817 Dask-cudf: read_parquet support for remote filesystems
  • PR #2823 improve java data movement debugging
  • PR #2806 CSV Reader: Clean-up row offset operations
  • PR #2640 Add dask wait/persist example to 10 minute guide
  • PR #2828 Optimizations of kernel launch configuration for DataFrame.apply_rows and DataFrame.apply_chunks
  • PR #2831 Add column argument to DataFrame.drop
  • PR #2775 Various optimizations to improve getitem and setitem performance
  • PR #2810 cudf::allocate_like can optionally always allocate a mask.
  • PR #2833 Parquet reader: align page data allocation sizes to 4-bytes to satisfy cuda-memcheck
  • PR #2832 Using the new Python bindings for UCX
  • PR #2856 Update group_split_cudf to use scatter_by_map
  • PR #2890 Optionally keep serialized table data on the host.
  • PR #2778 Doc: Updated and fixed some docstrings that were formatted incorrectly.
  • PR #2830 Use YYMMDD tag in custreamz nightly build
  • PR #2875 Java: Remove synchronized from register methods in MemoryCleaner
  • PR #2887 Minor snappy decompression optimization
  • PR #2899 Use new RMM API based on Cython
  • PR #2788 Guide to Python UDFs
  • PR #2919 Change java API to use operators in groupby namespace
  • PR #2909 CSV Reader: Avoid row offsets host vector default init
  • PR #2834 DataFrame supports setting columns via attribute syntax df.x = col
  • PR #3147 DataFrame can be initialized from rows via list of tuples
  • PR #3539 Restrict CuPy to 6

Bug Fixes

  • PR #2584 ORC Reader: fix parsing of DECIMAL index positions
  • PR #2619 Fix groupby serialization/deserialization
  • PR #2614 Update Java version to match
  • PR #2601 Fixes nlargest(1) issue in Series and Dataframe
  • PR #2610 Fix a bug in index serialization (properly pass DeviceNDArray)
  • PR #2621 Fixes the floordiv issue of not promoting float type when rhs is 0
  • PR #2611 Types Test: fix static casting from negative int to string
  • PR #2618 IO Readers: Fix datasource memory map failure for multiple reads
  • PR #2628 groupby_without_aggregation non-nullable input table produces non-nullable output
  • PR #2615 fix string category partitioning in java API
  • PR #2641 fix string category and timeunit concat in the java API
  • PR #2649 Fix groupby issue resulting from column_empty bug
  • PR #2658 Fix astype() for null categorical columns
  • PR #2660 fix column string category and timeunit concat in the java API
  • PR #2664 ORC reader: fix skip_rows larger than first stripe
  • PR #2654 Allow Java gdfOrderBy to work with string categories
  • PR #2669 AVRO reader: fix non-deterministic output
  • PR #2668 Update Java bindings to specify timestamp units for ORC and Parquet readers
  • PR #2679 AVRO reader: fix cuda errors when decoding compressed streams
  • PR #2692 Add concatenation for data-frame with different headers (empty and non-empty)
  • PR #2651 Remove nvidia driver installation from ci/cpu/build.sh
  • PR #2697 Ensure csv reader sets datetime column time units
  • PR #2698 Return RangeIndex from contiguous slice of RangeIndex
  • PR #2672 Fix null and integer handling in round
  • PR #2704 Parquet Reader: Fix crash when loading string column with nulls
  • PR #2725 Fix Jitify issue with running on Turing using CUDA version < 10
  • PR #2731 Fix building of benchmarks
  • PR #2738 Fix java to find new NVStrings locations
  • PR #2736 Pin Jitify branch to v0.10 version
  • PR #2742 IO Readers: Fix possible silent failures when creating NvStrings instance
  • PR #2753 Fix java quantile API calls
  • PR #2762 Fix validity processing for time in java
  • PR #2796 Fix handling string slicing and other nvstrings delegated methods with dask
  • PR #2769 Fix link to API docs in README.md
  • PR #2772 Handle multiindex pandas Series #2772
  • PR #2749 Fix apply_rows/apply_chunks pessimistic null mask to use in_cols null masks only
  • PR #2752 CSV Reader: Fix exception when there's no rows to process
  • PR #2716 Added Exception for StringMethods in string methods
  • PR #2787 Fix Broadcasting None to cudf-series
  • PR #2794 Fix async race in NVCategory::get_value and get_value_bounds
  • PR #2795 Fix java build/cast error
  • PR #2496 Fix improper merge of two dataframes when names differ
  • PR #2824 Fix issue with incorrect result when Numeric Series replace is called several times
  • PR #2751 Replace value with null
  • PR #2765 Fix Java inequality comparisons for string category
  • PR #2818 Fix java join API to use new C++ join API
  • PR #2841 Fix nvstrings.slice and slice_from for range (0,0)
  • PR #2837 Fix join benchmark
  • PR #2809 Add hash_df and group_split dispatch functions for dask
  • PR #2843 Parquet reader: fix skip_rows when not aligned with page or row_group boundaries
  • PR #2851 Deleted existing dask-cudf/record.txt
  • PR #2854 Fix column creation from ephemeral objects exposing cuda_array_interface
  • PR #2860 Fix boolean indexing when the result is a single row
  • PR #2859 Fix tail method issue for string columns
  • PR #2852 Fixed cumsum() and cumprod() on boolean series.
  • PR #2865 DaskIO: Fix read_csv and read_orc when input is list of files
  • PR #2750 Fixed casting values to cudf::bool8 so non-zero values always cast to true
  • PR #2873 Fixed dask_cudf read_partition bug by generating ParquetDatasetPiece
  • PR #2850 Fixes dask_cudf.read_parquet on partitioned datasets
  • PR #2896 Properly handle axis string keywords in concat
  • PR #2926 Update rounding algorithm to avoid using fmod
  • PR #2968 Fix Java dependency loading when using NVTX
  • PR #2963 Fix ORC writer uncompressed block indexing
  • PR #2928 CSV Reader: Fix using byte_range for large datasets
  • PR #2983 Fix sm_70+ race condition in gpu_unsnap
  • PR #2964 ORC Writer: Segfault when writing mixed numeric and string columns
  • PR #3007 Java: Remove unit test that frees RMM invalid pointer
  • PR #3009 Fix orc reader RLEv2 patch position regression from PR #2507
  • PR #3002 Fix CUDA invalid configuration errors reported after loading an ORC file without data
  • PR #3035 Update update-version.sh for new docs locations
  • PR #3038 Fix uninitialized stream parameter in device_table deleter
  • PR #3064 Fixes groupby performance issue
  • PR #3061 Add rmmInitialize to nvstrings gtests
  • PR #3058 Fix UDF doc markdown formatting
  • PR #3059 Add nvstrings python build instructions to contributing.md

cuDF 0.9.0 (21 Aug 2019)

New Features

  • PR #1993 Add CUDA-accelerated series aggregations: mean, var, std
  • PR #2111 IO Readers: Support memory buffer, file-like object, and URL inputs
  • PR #2012 Add reindex() to DataFrame and Series
  • PR #2097 Add GPU-accelerated AVRO reader
  • PR #2098 Support binary ops on DFs and Series with mismatched indices
  • PR #2160 Merge dask-cudf codebase into cudf repo
  • PR #2149 CSV Reader: Add hex dtype for explicit hexadecimal parsing
  • PR #2156 Add upper_bound() and lower_bound() for libcudf tables and searchsorted() for cuDF Series
  • PR #2158 CSV Reader: Support single, non-list/dict argument for dtype
  • PR #2177 CSV Reader: Add parse_dates parameter for explicit date inference
  • PR #1744 cudf::apply_boolean_mask and cudf::drop_nulls support for cudf::table inputs (multi-column)
  • PR #2196 Add DataFrame.dropna()
  • PR #2197 CSV Writer: add chunksize parameter for to_csv
  • PR #2215 type_dispatcher benchmark
  • PR #2179 Add Java quantiles
  • PR #2157 Add array_function to DataFrame and Series
  • PR #2212 Java support for ORC reader
  • PR #2224 Add DataFrame isna, isnull, notna functions
  • PR #2236 Add Series.drop_duplicates
  • PR #2105 Add hash-based join benchmark
  • PR #2316 Add unique, nunique, and value_counts for datetime columns
  • PR #2337 Add Java support for slicing a ColumnVector
  • PR #2049 Add cudf::merge (sorted merge)
  • PR #2368 Full cudf+dask Parquet Support
  • PR #2380 New cudf::is_sorted checks whether cudf::table is sorted
  • PR #2356 Java column vector standard deviation support
  • PR #2221 MultiIndex full indexing - Support iloc and wildcards for loc
  • PR #2429 Java support for getting length of strings in a ColumnVector
  • PR #2415 Add value_counts for series of any type
  • PR #2446 Add array_function for index
  • PR #2437 ORC reader: Add 'use_np_dtypes' option
  • PR #2382 Add CategoricalAccessor add, remove, rename, and ordering methods
  • PR #2464 Native implement __cuda_array_interface__ for Series/Index/Column objects
  • PR #2425 Rolling window now accepts array-based user-defined functions
  • PR #2442 Add setitem
  • PR #2449 Java support for getting byte count of strings in a ColumnVector
  • PR #2492 Add groupby.size() method
  • PR #2358 Add cudf::nans_to_nulls: convert floating point column into bitmask
  • PR #2489 Add drop argument to set_index
  • PR #2491 Add Java bindings for ORC reader 'use_np_dtypes' option
  • PR #2213 Support s/ms/us/ns DatetimeColumn time unit resolutions
  • PR #2536 Add _constructor properties to Series and DataFrame

Improvements

  • PR #2103 Move old column and bitmask files into legacy/ directory
  • PR #2109 added name to Python column classes
  • PR #1947 Cleanup serialization code
  • PR #2125 More aggregate in java API
  • PR #2127 Add in java Scalar tests
  • PR #2088 Refactor of Python groupby code
  • PR #2130 Java serialization and deserialization of tables.
  • PR #2131 Chunk rows logic added to csv_writer
  • PR #2129 Add functions in the Java API to support nullable column filtering
  • PR #2165 made changes to get_dummies api for it to be available in MethodCache
  • PR #2171 Add CodeCov integration, fix doc version, make --skip-tests work when invoking with source
  • PR #2184 handle remote orc files for dask-cudf
  • PR #2186 Add getitem and getattr style access to Rolling objects
  • PR #2168 Use cudf.Column for CategoricalColumn's categories instead of a tuple
  • PR #2193 DOC: cudf::type_dispatcher documentation for specializing dispatched functors
  • PR #2199 Better java support for appending strings
  • PR #2176 Added column dtype support for datetime, int8, int16 to csv_writer
  • PR #2209 Matching get_dummies & select_dtypes behavior to pandas
  • PR #2217 Updated Java bindings to use the new groupby API
  • PR #2214 DOC: Update doc instructions to build/install cudf and dask-cudf
  • PR #2220 Update Java bindings for reduction rename
  • PR #2232 Move CodeCov upload from build script to Jenkins
  • PR #2225 refactor to use libcudf for gathering columns in dataframes
  • PR #2293 Improve join performance (faster compute_join_output_size)
  • PR #2300 Create separate dask codeowners for dask-cudf codebase
  • PR #2304 gdf_group_by_without_aggregations returns gdf_column
  • PR #2309 Java readers: remove redundant copy of result pointers
  • PR #2307 Add black and isort to style checker script
  • PR #2345 Restore removal of old groupby implementation
  • PR #2342 Improve astype() to operate all ways
  • PR #2329 using libcudf cudf::copy for column deep copy
  • PR #2344 DOC: docs on code formatting for contributors
  • PR #2376 Add inoperative axis= and win_type= arguments to Rolling()
  • PR #2378 remove dask for (de-)serialization of cudf objects
  • PR #2353 Bump Arrow and Dask versions
  • PR #2377 Replace standard_python_slice with just slice.indices()
  • PR #2373 cudf.DataFrame enchancements & Series.values support
  • PR #2392 Remove dlpack submodule; make cuDF's Cython API externally accessible
  • PR #2430 Updated Java bindings to use the new unary API
  • PR #2406 Moved all existing table related files to a legacy/ directory
  • PR #2350 Performance related changes to get_dummies
  • PR #2420 Remove cudautils.astype and replace with typecast.apply_cast
  • PR #2456 Small improvement to typecast utility
  • PR #2458 Fix handling of thirdparty packages in isort config
  • PR #2459 IO Readers: Consolidate all readers to use datasource class
  • PR #2475 Exposed type_dispatcher.hpp, nvcategory_util.hpp and wrapper_types.hpp in the include folder
  • PR #2484 Enabled building libcudf as a static library
  • PR #2453 Streamline CUDA_REL environment variable
  • PR #2483 Bundle Boost filesystem dependency in the Java jar
  • PR #2486 Java API hash functions
  • PR #2481 Adds the ignore_null_keys option to the java api
  • PR #2490 Java api: support multiple aggregates for the same column
  • PR #2510 Java api: uses table based apply_boolean_mask
  • PR #2432 Use pandas formatting for console, html, and latex output
  • PR #2573 Bump numba version to 0.45.1
  • PR #2606 Fix references to notebooks-contrib

Bug Fixes

  • PR #2086 Fixed quantile api behavior mismatch in series & dataframe
  • PR #2128 Add offset param to host buffer readers in java API.
  • PR #2145 Work around binops validity checks for java
  • PR #2146 Work around unary_math validity checks for java
  • PR #2151 Fixes bug in cudf::copy_range where null_count was invalid
  • PR #2139 matching to pandas describe behavior & fixing nan values issue
  • PR #2161 Implicitly convert unsigned to signed integer types in binops
  • PR #2154 CSV Reader: Fix bools misdetected as strings dtype
  • PR #2178 Fix bug in rolling bindings where a view of an ephemeral column was being taken
  • PR #2180 Fix issue with isort reordering importorskip below imports depending on them
  • PR #2187 fix to honor dtype when numpy arrays are passed to columnops.as_column
  • PR #2190 Fix issue in astype conversion of string column to 'str'
  • PR #2208 Fix issue with calling head() on one row dataframe
  • PR #2229 Propagate exceptions from Cython cdef functions
  • PR #2234 Fix issue with local build script not properly building
  • PR #2223 Fix CUDA invalid configuration errors reported after loading small compressed ORC files
  • PR #2162 Setting is_unique and is_monotonic-related attributes
  • PR #2244 Fix ORC RLEv2 delta mode decoding with nonzero residual delta width
  • PR #2297 Work around var/std unsupported only at debug build
  • PR #2302 Fixed java serialization corner case
  • PR #2355 Handle float16 in binary operations
  • PR #2311 Fix copy behaviour for GenericIndex
  • PR #2349 Fix issues with String filter in java API
  • PR #2323 Fix groupby on categoricals
  • PR #2328 Ensure order is preserved in CategoricalAccessor._set_categories
  • PR #2202 Fix issue with unary ops mishandling empty input
  • PR #2326 Fix for bug in DLPack when reading multiple columns
  • PR #2324 Fix cudf Docker build
  • PR #2325 Fix ORC RLEv2 patched base mode decoding with nonzero patch width
  • PR #2235 Fix get_dummies to be compatible with dask
  • PR #2332 Zero initialize gdf_dtype_extra_info
  • PR #2355 Handle float16 in binary operations
  • PR #2360 Fix missing dtype handling in cudf.Series & columnops.as_column
  • PR #2364 Fix quantile api and other trivial issues around it
  • PR #2361 Fixed issue with codes of CategoricalIndex
  • PR #2357 Fixed inconsistent type of index created with from_pandas vs direct construction
  • PR #2389 Fixed Rolling getattr and getitem for offset based windows
  • PR #2402 Fixed bug in valid mask computation in cudf::copy_if (apply_boolean_mask)
  • PR #2401 Fix to a scalar datetime(of type Days) issue
  • PR #2386 Correctly allocate output valids in groupby
  • PR #2411 Fixed failures on binary op on single element string column
  • PR #2422 Fix Pandas logical binary operation incompatibilites
  • PR #2447 Fix CodeCov posting build statuses temporarily
  • PR #2450 Fix erroneous null handling in cudf.DataFrame's apply_rows
  • PR #2470 Fix issues with empty strings and string categories (Java)
  • PR #2471 Fix String Column Validity.
  • PR #2481 Fix java validity buffer serialization
  • PR #2485 Updated bytes calculation to use size_t to avoid overflow in column concat
  • PR #2461 Fix groupby multiple aggregations same column
  • PR #2514 Fix cudf::drop_nulls threshold handling in Cython
  • PR #2516 Fix utilities include paths and meta.yaml header paths
  • PR #2517 Fix device memory leak in to_dlpack tensor deleter
  • PR #2431 Fix local build generated file ownerships
  • PR #2511 Added import of orc, refactored exception handlers to not squash fatal exceptions
  • PR #2527 Fix index and column input handling in dask_cudf read_parquet
  • PR #2466 Fix dataframe.query returning null rows erroneously
  • PR #2548 Orc reader: fix non-deterministic data decoding at chunk boundaries
  • PR #2557 fix cudautils import in string.py
  • PR #2521 Fix casting datetimes from/to the same resolution
  • PR #2545 Fix MultiIndexes with datetime levels
  • PR #2560 Remove duplicate dlpack definition in conda recipe
  • PR #2567 Fix ColumnVector.fromScalar issues while dealing with null scalars
  • PR #2565 Orc reader: fix incorrect data decoding of int64 data types
  • PR #2577 Fix search benchmark compilation error by adding necessary header
  • PR #2604 Fix a bug in copying.pyx:_normalize_types that upcasted int32 to int64

cuDF 0.8.0 (27 June 2019)

New Features

  • PR #1524 Add GPU-accelerated JSON Lines parser with limited feature set
  • PR #1569 Add support for Json objects to the JSON Lines reader
  • PR #1622 Add Series.loc
  • PR #1654 Add cudf::apply_boolean_mask: faster replacement for gdf_apply_stencil
  • PR #1487 cython gather/scatter
  • PR #1310 Implemented the slice/split functionality.
  • PR #1630 Add Python layer to the GPU-accelerated JSON reader
  • PR #1745 Add rounding of numeric columns via Numba
  • PR #1772 JSON reader: add support for BytesIO and StringIO input
  • PR #1527 Support GDF_BOOL8 in readers and writers
  • PR #1819 Logical operators (AND, OR, NOT) for libcudf and cuDF
  • PR #1813 ORC Reader: Add support for stripe selection
  • PR #1828 JSON Reader: add suport for bool8 columns
  • PR #1833 Add column iterator with/without nulls
  • PR #1665 Add the point-in-polygon GIS function
  • PR #1863 Series and Dataframe methods for all and any
  • PR #1908 cudf::copy_range and cudf::fill for copying/assigning an index or range to a constant
  • PR #1921 Add additional formats for typecasting to/from strings
  • PR #1807 Add Series.dropna()
  • PR #1987 Allow user defined functions in the form of ptx code to be passed to binops
  • PR #1948 Add operator functions like Series.add() to DataFrame and Series
  • PR #1954 Add skip test argument to GPU build script
  • PR #2018 Add bindings for new groupby C++ API
  • PR #1984 Add rolling window operations Series.rolling() and DataFrame.rolling()
  • PR #1542 Python method and bindings for to_csv
  • PR #1995 Add Java API
  • PR #1998 Add google benchmark to cudf
  • PR #1845 Add cudf::drop_duplicates, DataFrame.drop_duplicates
  • PR #1652 Added Series.where() feature
  • PR #2074 Java Aggregates, logical ops, and better RMM support
  • PR #2140 Add a cudf::transform function
  • PR #2068 Concatenation of different typed columns

Improvements

  • PR #1538 Replacing LesserRTTI with inequality_comparator
  • PR #1703 C++: Added non-aggregating insert to concurrent_unordered_map with specializations to store pairs with a single atomicCAS when possible.
  • PR #1422 C++: Added a RAII wrapper for CUDA streams
  • PR #1701 Added unique method for stringColumns
  • PR #1713 Add documentation for Dask-XGBoost
  • PR #1666 CSV Reader: Improve performance for files with large number of columns
  • PR #1725 Enable the ability to use a single column groupby as its own index
  • PR #1759 Add an example showing simultaneous rolling averages to apply_grouped documentation
  • PR #1746 C++: Remove unused code: windowed_ops.cu, sorting.cu, hash_ops.cu
  • PR #1748 C++: Add bool nullability flag to device_table row operators
  • PR #1764 Improve Numerical column: mean_var and mean
  • PR #1767 Speed up Python unit tests
  • PR #1770 Added build.sh script, updated CI scripts and documentation
  • PR #1739 ORC Reader: Add more pytest coverage
  • PR #1696 Added null support in Series.replace().
  • PR #1390 Added some basic utility functions for gdf_column's
  • PR #1791 Added general column comparison code for testing
  • PR #1795 Add printing of git submodule info to print_env.sh
  • PR #1796 Removing old sort based group by code and gdf_filter
  • PR #1811 Added funtions for copying/allocating cudf::tables
  • PR #1838 Improve columnops.column_empty so that it returns typed columns instead of a generic Column
  • PR #1890 Add utils.get_dummies- a pandas-like wrapper around one_hot-encoding
  • PR #1823 CSV Reader: default the column type to string for empty dataframes
  • PR #1827 Create bindings for scalar-vector binops, and update one_hot_encoding to use them
  • PR #1817 Operators now support different sized dataframes as long as they don't share different sized columns
  • PR #1855 Transition replace_nulls to new C++ API and update corresponding Cython/Python code
  • PR #1858 Add std::initializer_list constructor to column_wrapper
  • PR #1846 C++ type-erased gdf_equal_columns test util; fix gdf_equal_columns logic error
  • PR #1390 Added some basic utility functions for gdf_columns
  • PR #1391 Tidy up bit-resolution-operation and bitmask class code
  • PR #1882 Add iloc functionality to MultiIndex dataframes
  • PR #1884 Rolling windows: general enhancements and better coverage for unit tests
  • PR #1886 support GDF_STRING_CATEGORY columns in apply_boolean_mask, drop_nulls and other libcudf functions
  • PR #1896 Improve performance of groupby with levels specified in dask-cudf
  • PR #1915 Improve iloc performance for non-contiguous row selection
  • PR #1859 Convert read_json into a C++ API
  • PR #1919 Rename libcudf namespace gdf to namespace cudf
  • PR #1850 Support left_on and right_on for DataFrame merge operator
  • PR #1930 Specialize constructor for cudf::bool8 to cast argument to bool
  • PR #1938 Add default constructor for column_wrapper
  • PR #1930 Specialize constructor for cudf::bool8 to cast argument to bool
  • PR #1952 consolidate libcudf public API headers in include/cudf
  • PR #1949 Improved selection with boolmask using libcudf apply_boolean_mask
  • PR #1956 Add support for nulls in query()
  • PR #1973 Update std::tuple to std::pair in top-most libcudf APIs and C++ transition guide
  • PR #1981 Convert read_csv into a C++ API
  • PR #1868 ORC Reader: Support row index for speed up on small/medium datasets
  • PR #1964 Added support for list-like types in Series.str.cat
  • PR #2005 Use HTML5 details tag in bug report issue template
  • PR #2003 Removed few redundant unit-tests from test_string.py::test_string_cat
  • PR #1944 Groupby design improvements
  • PR #2017 Convert read_orc() into a C++ API
  • PR #2011 Convert read_parquet() into a C++ API
  • PR #1756 Add documentation "10 Minutes to cuDF and dask_cuDF"
  • PR #2034 Adding support for string columns concatenation using "add" binary operator
  • PR #2042 Replace old "10 Minutes" guide with new guide for docs build process
  • PR #2036 Make library of common test utils to speed up tests compilation
  • PR #2022 Facilitating get_dummies to be a high level api too
  • PR #2050 Namespace IO readers and add back free-form read_xxx functions
  • PR #2104 Add a functional sort= keyword argument to groupby
  • PR #2108 Add find_and_replace for StringColumn for replacing single values
  • PR #1803 cuDF/CuPy interoperability documentation

Bug Fixes

  • PR #1465 Fix for test_orc.py and test_sparse_df.py test failures
  • PR #1583 Fix underlying issue in as_index() that was causing Series.quantile() to fail
  • PR #1680 Add errors= keyword to drop() to fix cudf-dask bug
  • PR #1651 Fix query function on empty dataframe
  • PR #1616 Fix CategoricalColumn to access categories by index instead of iteration
  • PR #1660 Fix bug in loc when indexing with a column name (a string)
  • PR #1683 ORC reader: fix timestamp conversion to UTC
  • PR #1613 Improve CategoricalColumn.fillna(-1) performance
  • PR #1642 Fix failure of CSV_TEST gdf_csv_test.SkiprowsNrows on multiuser systems
  • PR #1709 Fix handling of datetime64[ms] in dataframe.select_dtypes
  • PR #1704 CSV Reader: Add support for the plus sign in number fields
  • PR #1687 CSV reader: return an empty dataframe for zero size input
  • PR #1757 Concatenating columns with null columns
  • PR #1755 Add col_level keyword argument to melt
  • PR #1758 Fix df.set_index() when setting index from an empty column
  • PR #1749 ORC reader: fix long strings of NULL values resulting in incorrect data
  • PR #1742 Parquet Reader: Fix index column name to match PANDAS compat
  • PR #1782 Update libcudf doc version
  • PR #1783 Update conda dependencies
  • PR #1786 Maintain the original series name in series.unique output
  • PR #1760 CSV Reader: fix segfault when dtype list only includes columns from usecols list
  • PR #1831 build.sh: Assuming python is in PATH instead of using PYTHON env var
  • PR #1839 Raise an error instead of segfaulting when transposing a DataFrame with StringColumns
  • PR #1840 Retain index correctly during merge left_on right_on
  • PR #1825 cuDF: Multiaggregation Groupby Failures
  • PR #1789 CSV Reader: Fix missing support for specifying int8 and int16 dtypes
  • PR #1857 Cython Bindings: Handle bool columns while calling column_view_from_NDArrays
  • PR #1849 Allow DataFrame support methods to pass arguments to the methods
  • PR #1847 Fixed #1375 by moving the nvstring check into the wrapper function
  • PR #1864 Fixing cudf reduction for POWER platform
  • PR #1869 Parquet reader: fix Dask timestamps not matching with Pandas (convert to milliseconds)
  • PR #1876 add dtype=bool for any, all to treat integer column correctly
  • PR #1875 CSV reader: take NaN values into account in dtype detection
  • PR #1873 Add column dtype checking for the all/any methods
  • PR #1902 Bug with string iteration in _apply_basic_agg
  • PR #1887 Fix for initialization issue in pq_read_arg,orc_read_arg
  • PR #1867 JSON reader: add support for null/empty fields, including the 'null' literal
  • PR #1891 Fix bug #1750 in string column comparison
  • PR #1909 Support of to_pandas() of boolean series with null values
  • PR #1923 Use prefix removal when two aggs are called on a SeriesGroupBy
  • PR #1914 Zero initialize gdf_column local variables
  • PR #1959 Add support for comparing boolean Series to scalar
  • PR #1966 Ignore index fix in series append
  • PR #1967 Compute index sizeof only once for DataFrame sizeof
  • PR #1977 Support CUDA installation in default system directories
  • PR #1982 Fixes incorrect index name after join operation
  • PR #1985 Implement GDF_PYMOD, a special modulo that follows python's sign rules
  • PR #1991 Parquet reader: fix decoding of NULLs
  • PR #1990 Fixes a rendering bug in the apply_grouped documentation
  • PR #1978 Fix for values being filled in an empty dataframe
  • PR #2001 Correctly create MultiColumn from Pandas MultiColumn
  • PR #2006 Handle empty dataframe groupby construction for dask
  • PR #1965 Parquet Reader: Fix duplicate index column when it's already in use_cols
  • PR #2033 Add pip to conda environment files to fix warning
  • PR #2028 CSV Reader: Fix reading of uncompressed files without a recognized file extension
  • PR #2073 Fix an issue when gathering columns with NVCategory and nulls
  • PR #2053 cudf::apply_boolean_mask return empty column for empty boolean mask
  • PR #2066 exclude IteratorTest.mean_var_output test from debug build
  • PR #2069 Fix JNI code to use read_csv and read_parquet APIs
  • PR #2071 Fix bug with unfound transitive dependencies for GTests in Ubuntu 18.04
  • PR #2089 Configure Sphinx to render params correctly
  • PR #2091 Fix another bug with unfound transitive dependencies for cudftestutils in Ubuntu 18.04
  • PR #2115 Just apply --disable-new-dtags instead of trying to define all the transitive dependencies
  • PR #2106 Fix errors in JitCache tests caused by sharing of device memory between processes
  • PR #2120 Fix errors in JitCache tests caused by running multiple threads on the same data
  • PR #2102 Fix memory leak in groupby
  • PR #2113 fixed typo in to_csv code example

cudf 0.7.2 (16 May 2019)

New Features

  • PR #1735 Added overload for atomicAdd on int64. Streamlined implementation of custom atomic overloads.
  • PR #1741 Add MultiIndex concatenation

Bug Fixes

  • PR #1718 Fix issue with SeriesGroupBy MultiIndex in dask-cudf
  • PR #1734 Python: fix performance regression for groupby count() aggregations
  • PR #1768 Cython: fix handling read only schema buffers in gpuarrow reader

cudf 0.7.1 (11 May 2019)

New Features

  • PR #1702 Lazy load MultiIndex to return groupby performance to near optimal.

Bug Fixes

  • PR #1708 Fix handling of datetime64[ms] in dataframe.select_dtypes

cuDF 0.7.0 (10 May 2019)

New Features

  • PR #982 Implement gdf_group_by_without_aggregations and gdf_unique_indices functions
  • PR #1142 Add GDF_BOOL column type
  • PR #1194 Implement overloads for CUDA atomic operations
  • PR #1292 Implemented Bitwise binary ops AND, OR, XOR (&, |, ^)
  • PR #1235 Add GPU-accelerated Parquet Reader
  • PR #1335 Added local_dict arg in DataFrame.query().
  • PR #1282 Add Series and DataFrame.describe()
  • PR #1356 Rolling windows
  • PR #1381 Add DataFrame._get_numeric_data
  • PR #1388 Add CODEOWNERS file to auto-request reviews based on where changes are made
  • PR #1396 Add DataFrame.drop method
  • PR #1413 Add DataFrame.melt method
  • PR #1412 Add DataFrame.pop()
  • PR #1419 Initial CSV writer function
  • PR #1441 Add Series level cumulative ops (cumsum, cummin, cummax, cumprod)
  • PR #1420 Add script to build and test on a local gpuCI image
  • PR #1440 Add DatetimeColumn.min(), DatetimeColumn.max()
  • PR #1455 Add Series.Shift via Numba kernel
  • PR #1441 Add Series level cumulative ops (cumsum, cummin, cummax, cumprod)
  • PR #1461 Add Python coverage test to gpu build
  • PR #1445 Parquet Reader: Add selective reading of rows and row group
  • PR #1532 Parquet Reader: Add support for INT96 timestamps
  • PR #1516 Add Series and DataFrame.ndim
  • PR #1556 Add libcudf C++ transition guide
  • PR #1466 Add GPU-accelerated ORC Reader
  • PR #1565 Add build script for nightly doc builds
  • PR #1508 Add Series isna, isnull, and notna
  • PR #1456 Add Series.diff() via Numba kernel
  • PR #1588 Add Index astype typecasting
  • PR #1301 MultiIndex support
  • PR #1599 Level keyword supported in groupby
  • PR #929 Add support operations to dataframe
  • PR #1609 Groupby accept list of Series
  • PR #1658 Support group_keys=True keyword in groupby method

Improvements

  • PR #1531 Refactor closures as private functions in gpuarrow
  • PR #1404 Parquet reader page data decoding speedup
  • PR #1076 Use type_dispatcher in join, quantiles, filter, segmented sort, radix sort and hash_groupby
  • PR #1202 Simplify README.md
  • PR #1149 CSV Reader: Change convertStrToValue() functions to __device__ only
  • PR #1238 Improve performance of the CUDA trie used in the CSV reader
  • PR #1245 Use file cache for JIT kernels
  • PR #1278 Update CONTRIBUTING for new conda environment yml naming conventions
  • PR #1163 Refactored UnaryOps. Reduced API to two functions: gdf_unary_math and gdf_cast. Added abs, -, and ~ ops. Changed bindings to Cython
  • PR #1284 Update docs version
  • PR #1287 add exclude argument to cudf.select_dtype function
  • PR #1286 Refactor some of the CSV Reader kernels into generic utility functions
  • PR #1291 fillna in Series.to_gpu_array() and Series.to_array() can accept the scalar too now.
  • PR #1005 generic reduction and scan support
  • PR #1349 Replace modernGPU sort join with thrust.
  • PR #1363 Add a dataframe.mean(...) that raises NotImplementedError to satisfy dask.dataframe.utils.is_dataframe_like
  • PR #1319 CSV Reader: Use column wrapper for gdf_column output alloc/dealloc
  • PR #1376 Change series quantile default to linear
  • PR #1399 Replace CFFI bindings for NVTX functions with Cython bindings
  • PR #1389 Refactored set_null_count()
  • PR #1386 Added macros GDF_TRY(), CUDF_TRY() and ASSERT_CUDF_SUCCEEDED()
  • PR #1435 Rework CMake and conda recipes to depend on installed libraries
  • PR #1391 Tidy up bit-resolution-operation and bitmask class code
  • PR #1439 Add cmake variable to enable compiling CUDA code with -lineinfo
  • PR #1462 Add ability to read parquet files from arrow::io::RandomAccessFile
  • PR #1453 Convert CSV Reader CFFI to Cython
  • PR #1479 Convert Parquet Reader CFFI to Cython
  • PR #1397 Add a utility function for producing an overflow-safe kernel launch grid configuration
  • PR #1382 Add GPU parsing of nested brackets to cuIO parsing utilities
  • PR #1481 Add cudf::table constructor to allocate a set of gdf_columns
  • PR #1484 Convert GroupBy CFFI to Cython
  • PR #1463 Allow and default melt keyword argument var_name to be None
  • PR #1486 Parquet Reader: Use device_buffer rather than device_ptr
  • PR #1525 Add cudatoolkit conda dependency
  • PR #1520 Renamed src/dataframe to src/table and moved table.hpp. Made types.hpp to be type declarations only.
  • PR #1492 Convert transpose CFFI to Cython
  • PR #1495 Convert binary and unary ops CFFI to Cython
  • PR #1503 Convert sorting and hashing ops CFFI to Cython
  • PR #1522 Use latest release version in update-version CI script
  • PR #1533 Remove stale join CFFI, fix memory leaks in join Cython
  • PR #1521 Added row_bitmask to compute bitmask for rows of a table. Merged valids_ops.cu and bitmask_ops.cu
  • PR #1553 Overload hash_row to avoid using initial hash values. Updated gdf_hash to select between overloads
  • PR #1585 Updated cudf::table to maintain own copy of wrapped gdf_column*s
  • PR #1559 Add except + to all Cython function definitions to catch C++ exceptions properly
  • PR #1617 has_nulls and column_dtypes for cudf::table
  • PR #1590 Remove CFFI from the build / install process entirely
  • PR #1536 Convert gpuarrow CFFI to Cython
  • PR #1655 Add Column._pointer as a way to access underlying gdf_column* of a Column
  • PR #1655 Update readme conda install instructions for cudf version 0.6 and 0.7

Bug Fixes

  • PR #1233 Fix dtypes issue while adding the column to str dataframe.
  • PR #1254 CSV Reader: fix data type detection for floating-point numbers in scientific notation
  • PR #1289 Fix looping over each value instead of each category in concatenation
  • PR #1293 Fix Inaccurate error message in join.pyx
  • PR #1308 Add atomicCAS overload for int8_t, int16_t
  • PR #1317 Fix catch polymorphic exception by reference in ipc.cu
  • PR #1325 Fix dtype of null bitmasks to int8
  • PR #1326 Update build documentation to use -DCMAKE_CXX11_ABI=ON
  • PR #1334 Add "na_position" argument to CategoricalColumn sort_by_values
  • PR #1321 Fix out of bounds warning when checking Bzip2 header
  • PR #1359 Add atomicAnd/Or/Xor for integers
  • PR #1354 Fix fillna() behaviour when replacing values with different dtypes
  • PR #1347 Fixed core dump issue while passing dict_dtypes without column names in cudf.read_csv()
  • PR #1379 Fixed build failure caused due to error: 'col_dtype' may be used uninitialized
  • PR #1392 Update cudf Dockerfile and package_versions.sh
  • PR #1385 Added INT8 type to _schema_to_dtype for use in GpuArrowReader
  • PR #1393 Fixed a bug in gdf_count_nonzero_mask() for the case of 0 bits to count
  • PR #1395 Update CONTRIBUTING to use the environment variable CUDF_HOME
  • PR #1416 Fix bug at gdf_quantile_exact and gdf_quantile_appox
  • PR #1421 Fix remove creation of series multiple times during add_column()
  • PR #1405 CSV Reader: Fix memory leaks on read_csv() failure
  • PR #1328 Fix CategoricalColumn to_arrow() null mask
  • PR #1433 Fix NVStrings/categories includes
  • PR #1432 Update NVStrings to 0.7.* to coincide with 0.7 development
  • PR #1483 Modify CSV reader to avoid cropping blank quoted characters in non-string fields
  • PR #1446 Merge 1275 hotfix from master into branch-0.7
  • PR #1447 Fix legacy groupby apply docstring
  • PR #1451 Fix hash join estimated result size is not correct
  • PR #1454 Fix local build script improperly change directory permissions
  • PR #1490 Require Dask 1.1.0+ for is_dataframe_like test or skip otherwise.
  • PR #1491 Use more specific directories & groups in CODEOWNERS
  • PR #1497 Fix Thrust issue on CentOS caused by missing default constructor of host_vector elements
  • PR #1498 Add missing include guard to device_atomics.cuh and separated DEVICE_ATOMICS_TEST
  • PR #1506 Fix csv-write call to updated NVStrings method
  • PR #1510 Added nvstrings fillna() function
  • PR #1507 Parquet Reader: Default string data to GDF_STRING
  • PR #1535 Fix doc issue to ensure correct labelling of cudf.series
  • PR #1537 Fix undefined reference link error in HashPartitionTest
  • PR #1548 Fix ci/local/build.sh README from using an incorrect image example
  • PR #1551 CSV Reader: Fix integer column name indexing
  • PR #1586 Fix broken scalar_wrapper::operator==
  • PR #1591 ORC/Parquet Reader: Fix missing import for FileNotFoundError exception
  • PR #1573 Parquet Reader: Fix crash due to clash with ORC reader datasource
  • PR #1607 Revert change of column.to_dense_buffer always return by copy for performance concerns
  • PR #1618 ORC reader: fix assert & data output when nrows/skiprows isn't aligned to stripe boundaries
  • PR #1631 Fix failure of TYPES_TEST on some gcc-7 based systems.
  • PR #1641 CSV Reader: Fix skip_blank_lines behavior with Windows line terminators ( )
  • PR #1648 ORC reader: fix non-deterministic output when skiprows is non-zero
  • PR #1676 Fix groupby as_index behaviour with MultiIndex
  • PR #1659 Fix bug caused by empty groupbys and multiindex slicing throwing exceptions
  • PR #1656 Correct Groupby failure in dask when un-aggregable columns are left in dataframe.
  • PR #1689 Fix groupby performance regression
  • PR #1694 Add Cython as a runtime dependency since it's required in setup.py

cuDF 0.6.1 (25 Mar 2019)

Bug Fixes

  • PR #1275 Fix CentOS exception in DataFrame.hash_partition from using value "returned" by a void function

cuDF 0.6.0 (22 Mar 2019)

New Features

  • PR #760 Raise FileNotFoundError instead of GDF_FILE_ERROR in read_csv if the file does not exist
  • PR #539 Add Python bindings for replace function
  • PR #823 Add Doxygen configuration to enable building HTML documentation for libcudf C/C++ API
  • PR #807 CSV Reader: Add byte_range parameter to specify the range in the input file to be read
  • PR #857 Add Tail method for Series/DataFrame and update Head method to use iloc
  • PR #858 Add series feature hashing support
  • PR #871 CSV Reader: Add support for NA values, including user specified strings
  • PR #893 Adds PyArrow based parquet readers / writers to Python, fix category dtype handling, fix arrow ingest buffer size issues
  • PR #867 CSV Reader: Add support for ignoring blank lines and comment lines
  • PR #887 Add Series digitize method
  • PR #895 Add Series groupby
  • PR #898 Add DataFrame.groupby(level=0) support
  • PR #920 Add feather, JSON, HDF5 readers / writers from PyArrow / Pandas
  • PR #888 CSV Reader: Add prefix parameter for column names, used when parsing without a header
  • PR #913 Add DLPack support: convert between cuDF DataFrame and DLTensor
  • PR #939 Add ORC reader from PyArrow
  • PR #918 Add Series.groupby(level=0) support
  • PR #906 Add binary and comparison ops to DataFrame
  • PR #958 Support unary and binary ops on indexes
  • PR #964 Add rename method to DataFrame, Series, and Index
  • PR #985 Add Series.to_frame method
  • PR #985 Add drop= keyword to reset_index method
  • PR #994 Remove references to pygdf
  • PR #990 Add external series groupby support
  • PR #988 Add top-level merge function to cuDF
  • PR #992 Add comparison binaryops to DateTime columns
  • PR #996 Replace relative path imports with absolute paths in tests
  • PR #995 CSV Reader: Add index_col parameter to specify the column name or index to be used as row labels
  • PR #1004 Add from_gpu_matrix method to DataFrame
  • PR #997 Add property index setter
  • PR #1007 Replace relative path imports with absolute paths in cudf
  • PR #1013 select columns with df.columns
  • PR #1016 Rename Series.unique_count() to nunique() to match pandas API
  • PR #947 Prefixsum to handle nulls and float types
  • PR #1029 Remove rest of relative path imports
  • PR #1021 Add filtered selection with assignment for Dataframes
  • PR #872 Adding NVCategory support to cudf apis
  • PR #1052 Add left/right_index and left/right_on keywords to merge
  • PR #1091 Add indicator= and suffixes= keywords to merge
  • PR #1107 Add unsupported keywords to Series.fillna
  • PR #1032 Add string support to cuDF python
  • PR #1136 Removed gdf_concat
  • PR #1153 Added function for getting the padded allocation size for valid bitmask
  • PR #1148 Add cudf.sqrt for dataframes and Series
  • PR #1159 Add Python bindings for libcudf dlpack functions
  • PR #1155 Add array_ufunc for DataFrame and Series for sqrt
  • PR #1168 to_frame for series accepts a name argument

Improvements

  • PR #1218 Add dask-cudf page to API docs
  • PR #892 Add support for heterogeneous types in binary ops with JIT
  • PR #730 Improve performance of gdf_table constructor
  • PR #561 Add Doxygen style comments to Join CUDA functions
  • PR #813 unified libcudf API functions by replacing gpu_ with gdf_
  • PR #822 Add support for __cuda_array_interface__ for ingest
  • PR #756 Consolidate common helper functions from unordered map and multimap
  • PR #753 Improve performance of groupby sum and average, especially for cases with few groups.
  • PR #836 Add ingest support for arrow chunked arrays in Column, Series, DataFrame creation
  • PR #763 Format doxygen comments for csv_read_arg struct
  • PR #532 CSV Reader: Use type dispatcher instead of switch block
  • PR #694 Unit test utilities improvements
  • PR #878 Add better indexing to Groupby
  • PR #554 Add empty method and is_monotonic attribute to Index
  • PR #1040 Fixed up Doxygen comment tags
  • PR #909 CSV Reader: Avoid host->device->host copy for header row data
  • PR #916 Improved unit testing and error checking for gdf_column_concat
  • PR #941 Replace numpy call in Series.hash_encode with numba
  • PR #942 Added increment/decrement operators for wrapper types
  • PR #943 Updated count_nonzero_mask to return num_rows when the mask is null
  • PR #952 Added trait to map C++ type to gdf_dtype
  • PR #966 Updated RMM submodule.
  • PR #998 Add IO reader/writer modules to API docs, fix for missing cudf.Series docs
  • PR #1017 concatenate along columns for Series and DataFrames
  • PR #1002 Support indexing a dataframe with another boolean dataframe
  • PR #1018 Better concatenation for Series and Dataframes
  • PR #1036 Use Numpydoc style docstrings
  • PR #1047 Adding gdf_dtype_extra_info to gdf_column_view_augmented
  • PR #1054 Added default ctor to SerialTrieNode to overcome Thrust issue in CentOS7 + CUDA10
  • PR #1024 CSV Reader: Add support for hexadecimal integers in integral-type columns
  • PR #1033 Update fillna() to use libcudf function gdf_replace_nulls
  • PR #1066 Added inplace assignment for columns and select_dtypes for dataframes
  • PR #1026 CSV Reader: Change the meaning and type of the quoting parameter to match Pandas
  • PR #1100 Adds CUDF_EXPECTS error-checking macro
  • PR #1092 Fix select_dtype docstring
  • PR #1111 Added cudf::table
  • PR #1108 Sorting for datetime columns
  • PR #1120 Return a Series (not a Column) from Series.cat.set_categories()
  • PR #1128 CSV Reader: The last data row does not need to be line terminated
  • PR #1183 Bump Arrow version to 0.12.1
  • PR #1208 Default to CXX11_ABI=ON
  • PR #1252 Fix NVStrings dependencies for cuda 9.2 and 10.0
  • PR #2037 Optimize the existing gather and scatter routines in libcudf

Bug Fixes

  • PR #821 Fix flake8 issues revealed by flake8 update
  • PR #808 Resolved renamed d_columns_valids variable name
  • PR #820 CSV Reader: fix the issue where reader adds additional rows when file uses as a line terminator
  • PR #780 CSV Reader: Fix scientific notation parsing and null values for empty quotes
  • PR #815 CSV Reader: Fix data parsing when tabs are present in the input CSV file
  • PR #850 Fix bug where left joins where the left df has 0 rows causes a crash
  • PR #861 Fix memory leak by preserving the boolean mask index
  • PR #875 Handle unnamed indexes in to/from arrow functions
  • PR #877 Fix ingest of 1 row arrow tables in from arrow function
  • PR #876 Added missing <type_traits> include
  • PR #889 Deleted test_rmm.py which has now moved to RMM repo
  • PR #866 Merge v0.5.1 numpy ABI hotfix into 0.6
  • PR #917 value_counts return int type on empty columns
  • PR #611 Renamed gdf_reduce_optimal_output_size() -> gdf_reduction_get_intermediate_output_size()
  • PR #923 fix index for negative slicing for cudf dataframe and series
  • PR #927 CSV Reader: Fix category GDF_CATEGORY hashes not being computed properly
  • PR #921 CSV Reader: Fix parsing errors with delim_whitespace, quotations in the header row, unnamed columns
  • PR #933 Fix handling objects of all nulls in series creation
  • PR #940 CSV Reader: Fix an issue where the last data row is missing when using byte_range
  • PR #945 CSV Reader: Fix incorrect datetime64 when milliseconds or space separator are used
  • PR #959 Groupby: Problem with column name lookup
  • PR #950 Converting dataframe/recarry with non-contiguous arrays
  • PR #963 CSV Reader: Fix another issue with missing data rows when using byte_range
  • PR #999 Fix 0 sized kernel launches and empty sort_index exception
  • PR #993 Fix dtype in selecting 0 rows from objects
  • PR #1009 Fix performance regression in to_pandas method on DataFrame
  • PR #1008 Remove custom dask communication approach
  • PR #1001 CSV Reader: Fix a memory access error when reading a large (>2GB) file with date columns
  • PR #1019 Binary Ops: Fix error when one input column has null mask but other doesn't
  • PR #1014 CSV Reader: Fix false positives in bool value detection
  • PR #1034 CSV Reader: Fix parsing floating point precision and leading zero exponents
  • PR #1044 CSV Reader: Fix a segfault when byte range aligns with a page
  • PR #1058 Added support for DataFrame.loc[scalar]
  • PR #1060 Fix column creation with all valid nan values
  • PR #1073 CSV Reader: Fix an issue where a column name includes the return character
  • PR #1090 Updating Doxygen Comments
  • PR #1080 Fix dtypes returned from loc / iloc because of lists
  • PR #1102 CSV Reader: Minor fixes and memory usage improvements
  • PR #1174: Fix release script typo
  • PR #1137 Add prebuild script for CI
  • PR #1118 Enhanced the DataFrame.from_records() feature
  • PR #1129 Fix join performance with index parameter from using numpy array
  • PR #1145 Issue with .agg call on multi-column dataframes
  • PR #908 Some testing code cleanup
  • PR #1167 Fix issue with null_count not being set after inplace fillna()
  • PR #1184 Fix iloc performance regression
  • PR #1185 Support left_on/right_on and also on=str in merge
  • PR #1200 Fix allocating bitmasks with numba instead of rmm in allocate_mask function
  • PR #1213 Fix bug with csv reader requesting subset of columns using wrong datatype
  • PR #1223 gpuCI: Fix label on rapidsai channel on gpu build scripts
  • PR #1242 Add explicit Thrust exec policy to fix NVCATEGORY_TEST segfault on some platforms
  • PR #1246 Fix categorical tests that failed due to bad implicit type conversion
  • PR #1255 Fix overwriting conda package main label uploads
  • PR #1259 Add dlpack includes to pip build

cuDF 0.5.1 (05 Feb 2019)

Bug Fixes

  • PR #842 Avoid using numpy via cimport to prevent ABI issues in Cython compilation

cuDF 0.5.0 (28 Jan 2019)

New Features

  • PR #722 Add bzip2 decompression support to read_csv()
  • PR #693 add ZLIB-based GZIP/ZIP support to read_csv_strings()
  • PR #411 added null support to gdf_order_by (new API) and cudf_table::sort
  • PR #525 Added GitHub Issue templates for bugs, documentation, new features, and questions
  • PR #501 CSV Reader: Add support for user-specified decimal point and thousands separator to read_csv_strings()
  • PR #455 CSV Reader: Add support for user-specified decimal point and thousands separator to read_csv()
  • PR #439 add DataFrame.drop method similar to pandas
  • PR #356 add DataFrame.transpose method and DataFrame.T property similar to pandas
  • PR #505 CSV Reader: Add support for user-specified boolean values
  • PR #350 Implemented Series replace function
  • PR #490 Added print_env.sh script to gather relevant environment details when reporting cuDF issues
  • PR #474 add ZLIB-based GZIP/ZIP support to read_csv()
  • PR #547 Added melt similar to pandas.melt()
  • PR #491 Add CI test script to check for updates to CHANGELOG.md in PRs
  • PR #550 Add CI test script to check for style issues in PRs
  • PR #558 Add CI scripts for cpu-based conda and gpu-based test builds
  • PR #524 Add Boolean Indexing
  • PR #564 Update python sort_values method to use updated libcudf gdf_order_by API
  • PR #509 CSV Reader: Input CSV file can now be passed in as a text or a binary buffer
  • PR #607 Add __iter__ and iteritems to DataFrame class
  • PR #643 added a new api gdf_replace_nulls that allows a user to replace nulls in a column

Improvements

  • PR #426 Removed sort-based groupby and refactored existing groupby APIs. Also improves C++/CUDA compile time.
  • PR #461 Add CUDF_HOME variable in README.md to replace relative pathing.
  • PR #472 RMM: Created centralized rmm::device_vector alias and rmm::exec_policy
  • PR #500 Improved the concurrent hash map class to support partitioned (multi-pass) hash table building.
  • PR #454 Improve CSV reader docs and examples
  • PR #465 Added templated C++ API for RMM to avoid explicit cast to void**
  • PR #513 .gitignore tweaks
  • PR #521 Add assert_eq function for testing
  • PR #502 Simplify Dockerfile for local dev, eliminate old conda/pip envs
  • PR #549 Adds -rdynamic compiler flag to nvcc for Debug builds
  • PR #472 RMM: Created centralized rmm::device_vector alias and rmm::exec_policy
  • PR #577 Added external C++ API for scatter/gather functions
  • PR #500 Improved the concurrent hash map class to support partitioned (multi-pass) hash table building
  • PR #583 Updated gdf_size_type to int
  • PR #500 Improved the concurrent hash map class to support partitioned (multi-pass) hash table building
  • PR #617 Added .dockerignore file. Prevents adding stale cmake cache files to the docker container
  • PR #658 Reduced JOIN_TEST time by isolating overflow test of hash table size computation
  • PR #664 Added Debuging instructions to README
  • PR #651 Remove noqa marks in __init__.py files
  • PR #671 CSV Reader: uncompressed buffer input can be parsed without explicitly specifying compression as None
  • PR #684 Make RMM a submodule
  • PR #718 Ensure sum, product, min, max methods pandas compatibility on empty datasets
  • PR #720 Refactored Index classes to make them more Pandas-like, added CategoricalIndex
  • PR #749 Improve to_arrow and from_arrow Pandas compatibility
  • PR #766 Remove TravisCI references, remove unused variables from CMake, fix ARROW_VERSION in Cmake
  • PR #773 Add build-args back to Dockerfile and handle dependencies based on environment yml file
  • PR #781 Move thirdparty submodules to root and symlink in /cpp
  • PR #843 Fix broken cudf/python API examples, add new methods to the API index

Bug Fixes

  • PR #569 CSV Reader: Fix days being off-by-one when parsing some dates
  • PR #531 CSV Reader: Fix incorrect parsing of quoted numbers
  • PR #465 Added templated C++ API for RMM to avoid explicit cast to void**
  • PR #473 Added missing include
  • PR #478 CSV Reader: Add api support for auto column detection, header, mangle_dupe_cols, usecols
  • PR #495 Updated README to correct where cffi pytest should be executed
  • PR #501 Fix the intermittent segfault caused by the thousands and compression parameters in the csv reader
  • PR #502 Simplify Dockerfile for local dev, eliminate old conda/pip envs
  • PR #512 fix bug for on parameter in DataFrame.merge to allow for None or single column name
  • PR #511 Updated python/cudf/bindings/join.pyx to fix cudf merge printing out dtypes
  • PR #513 .gitignore tweaks
  • PR #521 Add assert_eq function for testing
  • PR #537 Fix CMAKE_CUDA_STANDARD_REQURIED typo in CMakeLists.txt
  • PR #447 Fix silent failure in initializing DataFrame from generator
  • PR #545 Temporarily disable csv reader thousands test to prevent segfault (test re-enabled in PR #501)
  • PR #559 Fix Assertion error while using applymap to change the output dtype
  • PR #575 Update print_env.sh script to better handle missing commands
  • PR #612 Prevent an exception from occurring with true division on integer series.
  • PR #630 Fix deprecation warning for pd.core.common.is_categorical_dtype
  • PR #622 Fix Series.append() behaviour when appending values with different numeric dtype
  • PR #603 Fix error while creating an empty column using None.
  • PR #673 Fix array of strings not being caught in from_pandas
  • PR #644 Fix return type and column support of dataframe.quantile()
  • PR #634 Fix create DataFrame.from_pandas() with numeric column names
  • PR #654 Add resolution check for GDF_TIMESTAMP in Join
  • PR #648 Enforce one-to-one copy required when using numba>=0.42.0
  • PR #645 Fix cmake build type handling not setting debug options when CMAKE_BUILD_TYPE=="Debug"
  • PR #669 Fix GIL deadlock when launching multiple python threads that make Cython calls
  • PR #665 Reworked the hash map to add a way to report the destination partition for a key
  • PR #670 CMAKE: Fix env include path taking precedence over libcudf source headers
  • PR #674 Check for gdf supported column types
  • PR #677 Fix 'gdf_csv_test_Dates' gtest failure due to missing nrows parameter
  • PR #604 Fix the parsing errors while reading a csv file using sep instead of delimiter.
  • PR #686 Fix converting nulls to NaT values when converting Series to Pandas/Numpy
  • PR #689 CSV Reader: Fix behavior with skiprows+header to match pandas implementation
  • PR #691 Fixes Join on empty input DFs
  • PR #706 CSV Reader: Fix broken dtype inference when whitespace is in data
  • PR #717 CSV reader: fix behavior when parsing a csv file with no data rows
  • PR #724 CSV Reader: fix build issue due to parameter type mismatch in a std::max call
  • PR #734 Prevents reading undefined memory in gpu_expand_mask_bits numba kernel
  • PR #747 CSV Reader: fix an issue where CUDA allocations fail with some large input files
  • PR #750 Fix race condition for handling NVStrings in CMake
  • PR #719 Fix merge column ordering
  • PR #770 Fix issue where RMM submodule pointed to wrong branch and pin other to correct branches
  • PR #778 Fix hard coded ABI off setting
  • PR #784 Update RMM submodule commit-ish and pip paths
  • PR #794 Update rmm::exec_policy usage to fix segmentation faults when used as temprory allocator.
  • PR #800 Point git submodules to branches of forks instead of exact commits

cuDF 0.4.0 (05 Dec 2018)

New Features

  • PR #398 add pandas-compatible DataFrame.shape() and Series.shape()
  • PR #394 New documentation feature "10 Minutes to cuDF"
  • PR #361 CSV Reader: Add support for strings with delimiters

Improvements

  • PR #436 Improvements for type_dispatcher and wrapper structs
  • PR #429 Add CHANGELOG.md (this file)
  • PR #266 use faster CUDA-accelerated DataFrame column/Series concatenation.
  • PR #379 new C++ type_dispatcher reduces code complexity in supporting many data types.
  • PR #349 Improve performance for creating columns from memoryview objects
  • PR #445 Update reductions to use type_dispatcher. Adds integer types support to sum_of_squares.
  • PR #448 Improve installation instructions in README.md
  • PR #456 Change default CMake build to Release, and added option for disabling compilation of tests

Bug Fixes

  • PR #444 Fix csv_test CUDA too many resources requested fail.
  • PR #396 added missing output buffer in validity tests for groupbys.
  • PR #408 Dockerfile updates for source reorganization
  • PR #437 Add cffi to Dockerfile conda env, fixes "cannot import name 'librmm'"
  • PR #417 Fix map_test failure with CUDA 10
  • PR #414 Fix CMake installation include file paths
  • PR #418 Properly cast string dtypes to programmatic dtypes when instantiating columns
  • PR #427 Fix and tests for Concatenation illegal memory access with nulls

cuDF 0.3.0 (23 Nov 2018)

New Features

  • PR #336 CSV Reader string support

Improvements

  • PR #354 source code refactored for better organization. CMake build system overhaul. Beginning of transition to Cython bindings.
  • PR #290 Add support for typecasting to/from datetime dtype
  • PR #323 Add handling pyarrow boolean arrays in input/out, add tests
  • PR #325 GDF_VALIDITY_UNSUPPORTED now returned for algorithms that don't support non-empty valid bitmasks
  • PR #381 Faster InputTooLarge Join test completes in ms rather than minutes.
  • PR #373 .gitignore improvements
  • PR #367 Doc cleanup & examples for DataFrame methods
  • PR #333 Add Rapids Memory Manager documentation
  • PR #321 Rapids Memory Manager adds file/line location logging and convenience macros
  • PR #334 Implement DataFrame __copy__ and __deepcopy__
  • PR #271 Add NVTX ranges to pygdf
  • PR #311 Document system requirements for conda install

Bug Fixes

  • PR #337 Retain index on scale() function
  • PR #344 Fix test failure due to PyArrow 0.11 Boolean handling
  • PR #364 Remove noexcept from managed_allocator; CMakeLists fix for NVstrings
  • PR #357 Fix bug that made all series be considered booleans for indexing
  • PR #351 replace conda env configuration for developers
  • PRs #346 #360 Fix CSV reading of negative numbers
  • PR #342 Fix CMake to use conda-installed nvstrings
  • PR #341 Preserve categorical dtype after groupby aggregations
  • PR #315 ReadTheDocs build update to fix missing libcuda.so
  • PR #320 FIX out-of-bounds access error in reductions.cu
  • PR #319 Fix out-of-bounds memory access in libcudf count_valid_bits
  • PR #303 Fix printing empty dataframe

cuDF 0.2.0 and cuDF 0.1.0

These were initial releases of cuDF based on previously separate pyGDF and libGDF libraries.