cudf

🚨 Breaking Changes

• Restructure pylibcudf/arrow interop facilities (#15325) @vyasr
• Change exceptions thrown by copying APIs (#15319) @vyasr
• Change strings_column_view::char_size to return int64 (#15197) @davidwendt
• Upgrade to arrow-14.0.2 (#15108) @galipremsagar
• Add support for pandas-2.2 in cudf (#15100) @galipremsagar
• Deprecate cudf::hashing::spark_murmurhash3_x86_32 (#15074) @davidwendt
• Align MultiIndex.get_indexder with pandas 2.2 change (#15059) @mroeschke
• Raise an error on import for unsupported GPUs. (#15053) @bdice
• Deprecate datelike isin casting strings to dates to match pandas 2.2 (#15046) @mroeschke
• Align concat Series name behavior in pandas 2.2 (#15032) @mroeschke
• Add future_stack to DataFrame.stack (#15015) @galipremsagar
• Deprecate groupby fillna (#15000) @mroeschke
• Deprecate replace with categorical columns (#14988) @mroeschke
• Deprecate delim_whitespace in read_csv for pandas 2.2 (#14986) @mroeschke
• Deprecate parameters similar to pandas 2.2 (#14984) @mroeschke
• Add missing atomic operators, refactor atomic operators, move atomic operators to detail namespace. (#14962) @bdice
• Add pandas-2.x support in cudf (#14916) @galipremsagar
• Use cuco::static_set in the hash-based groupby (#14813) @PointKernel

🐛 Bug Fixes

• Fix an issue with creating a series from scalar when dtype='category' (#15476) @galipremsagar
• Update pre-commit-hooks to v0.0.3 (#15355) @KyleFromNVIDIA
• [BUG][JNI] Trigger MemoryBuffer.onClosed after memory is freed (#15351) @abellina
• Fix an issue with multiple short list rowgroups using the Parquet chunked reader. (#15342) @nvdbaranec
• Avoid importing dask-expr if "query-planning" config is False (#15340) @rjzamora
• Fix gtests/ERROR_TEST errors when run in Debug (#15317) @davidwendt
• Fix OOB read in inflate_kernel (#15309) @vuule
• Work around a cuFile error when running CSV tests with memcheck (#15293) @vuule
• Fix Doxygen upload directory (#15291) @KyleFromNVIDIA
• Fix Doxygen check (#15289) @KyleFromNVIDIA
• Reintroduce PANDAS_GE_220 import (#15287) @wence-
• Fix mean computation for the geometric distribution in the data generator (#15282) @vuule
• Fix Parquet decimal64 stats (#15281) @etseidl
• Make linking of nvtx3-cpp BUILD_LOCAL_INTERFACE (#15271) @KyleFromNVIDIA
• Workaround compute-sanitizer memcheck bug (#15259) @davidwendt
• Cleanup hostdevice_vector and add more APIs (#15252) @ttnghia
• Fix number of rows in randomly generated lists columns (#15248) @vuule
• Fix wrong output for collect_list/collect_set of lists column (#15243) @ttnghia
• Fix testchunkedPackTwoPasses to copy from the bounce buffer (#15220) @abellina
• Fix accessing .columns by an external API (#15212) @galipremsagar
• [JNI] Disable testChunkedPackTwoPasses for now (#15210) @abellina
• Update labeler and codeowner configs for CMake files (#15208) @PointKernel
• Avoid dict normalization in __dask_tokenize__ (#15187) @rjzamora
• Fix memcheck error in distinct inner join (#15164) @PointKernel
• Remove unneeded script parameters in test_cpp_memcheck.sh (#15158) @davidwendt
• Fix ListColumn.to_pandas() to retain list type (#15155) @galipremsagar
• Avoid factorization in MultiIndex.to_pandas (#15150) @mroeschke
• Fix GroupBy.get_group and GroupBy.indices (#15143) @wence-
• Remove const from range_window_bounds::_extent. (#15138) @mythrocks
• DataFrame.columns = ... retains RangeIndex & set dtype (#15129) @mroeschke
• Correctly handle output for GroupBy.apply when chunk results are reindexed series (#15109) @brandon-b-miller
• Fix Series.groupby.shift with a MultiIndex (#15098) @mroeschke
• Fix reductions when DataFrame has MulitIndex columns (#15097) @mroeschke
• Fix deprecation warnings for deprecated hash() calls (#15095) @davidwendt
• Add support for arrow large_string in cudf (#15093) @galipremsagar
• Fix sort_values pytest failure with pandas-2.x regression (#15092) @galipremsagar
• Resolve path parsing issues in get_json_object (#15082) @SurajAralihalli
• Fix bugs in handling of delta encodings (#15075) @etseidl
• Fix is_device_write_preferred in void_sink and user_sink_wrapper (#15064) @vuule
• Eliminate duplicate allocation of nested string columns (#15061) @vuule
• Raise an error on import for unsupported GPUs. (#15053) @bdice
• Align concat Series name behavior in pandas 2.2 (#15032) @mroeschke
• Fix Index.difference to handle duplicate values when one of the inputs is empty (#15016) @galipremsagar
• Add future_stack to DataFrame.stack (#15015) @galipremsagar
• Fix handling of values=None in pylibcudf GroupBy.get_groups (#14998) @shwina
• Fix DataFrame.sort_index to respect ignore_index on all axis (#14995) @galipremsagar
• Raise for pyarrow array that is tz-aware (#14980) @mroeschke
• Direct SeriesGroupBy.aggregate to SeriesGroupBy.agg (#14971) @rjzamora
• Respect IntervalDtype and CategoricalDtype objects passed by users (#14961) @mroeschke
• unset CUDF_SPILL after a pytest (#14958) @galipremsagar
• Fix Null literals to be not parsed as string when mixed types as string is enabled in JSON reader (#14939) @karthikeyann
• Fix chunked reads of Parquet delta encoded pages (#14921) @etseidl
• Fix reading offset for data stream in ORC reader (#14911) @ttnghia
• Enable sanitizer check for a test case testORCReadAndWriteForDecimal128 (#14897) @res-life
• Fix dask token normalization (#14829) @rjzamora
• Fix 24.04 versions (#14825) @raydouglass
• Ensure slow private attrs are maybe proxies (#14380) @mroeschke

📖 Documentation

• Ignore DLManagedTensor in the docs build (#15392) @davidwendt
• Revert "Temporarily disable docs errors. (#15265)" (#15269) @bdice
• Temporarily disable docs errors. (#15265) @bdice
• Update developer_guide.md with new guidance on quoted internal includes (#15238) @harrism
• Fix broken link for developer guide (#15025) @sanjana098
• [DOC] Update typo in docs example of structs_column_wrapper (#14949) @karthikeyann
• Update cudf.pandas FAQ. (#14940) @bdice
• Optimize doc builds (#14856) @vyasr
• Add developer guideline to use east const. (#14836) @bdice
• Document how cuDF is pronounced (#14753) @pentschev
• Notes convert to Pandas-compat (#12641) @Touutae-lab

🚀 New Features

• Address inconsistency in single quote normalization in JSON reader (#15324) @shrshi
• Use JNI pinned pool resource with cuIO (#15255) @abellina
• Add DELTA_BYTE_ARRAY encoder for Parquet (#15239) @etseidl
• Migrate filling operations to pylibcudf (#15225) @brandon-b-miller
• [JNI] rmm based pinned pool (#15219) @abellina
• Implement zero-copy host buffer source instead of using an arrow implementation (#15189) @vuule
• Enable creation of columns from scalar (#15181) @vyasr
• Use NVTX from GitHub. (#15178) @bdice
• Implement segmented_row_bit_count for computing row sizes by segments of rows (#15169) @ttnghia
• Implement search using pylibcudf (#15166) @vyasr
• Add distinct left join (#15149) @PointKernel
• Add cardinality control for groupby benchs with flat types (#15134) @PointKernel
• Add ability to request Parquet encodings on a per-column basis (#15081) @etseidl
• Automate include grouping order in .clang-format (#15063) @harrism
• Requesting a clean build directory also clears Jitify cache (#15052) @robertmaynard
• API for JSON unquoted whitespace normalization (#15033) @shrshi
• Implement concatenate, lists.explode, merge, sorting, and stream compaction in pylibcudf (#15011) @vyasr
• Implement replace in pylibcudf (#15005) @vyasr
• Add distinct key inner join (#14990) @PointKernel
• Implement rolling in pylibcudf (#14982) @vyasr
• Implement joins in pylibcudf (#14972) @vyasr
• Implement scans and reductions in pylibcudf (#14970) @vyasr
• Rewrite cudf internals using pylibcudf groupby (#14946) @vyasr
• Implement groupby in pylibcudf (#14945) @vyasr
• Support casting of Map type to string in JSON reader (#14936) @karthikeyann
• POC for whitespace removal in input JSON data using FST (#14931) @shrshi
• Support for LZ4 compression in ORC and Parquet (#14906) @vuule
• Remove supports_streams from cuDF custom memory resources. (#14857) @harrism
• Migrate unary operations to pylibcudf (#14850) @vyasr
• Migrate binary operations to pylibcudf (#14821) @vyasr
• Add row index and stripe size options to Python ORC chunked writer (#14785) @vuule
• Support CUDA 12.2 (#14712) @jameslamb

🛠️ Improvements

• Use conda env create --yes instead of --force (#15403) @bdice
• Restructure pylibcudf/arrow interop facilities (#15325) @vyasr
• Change exceptions thrown by copying APIs (#15319) @vyasr
• Enable branch testing for cudf.pandas (#15316) @galipremsagar
• Replace black with ruff-format (#15312) @mroeschke
• This fixes an NPE when trying to read empty JSON data by adding a new API for missing information (#15307) @revans2
• Address poor performance of Parquet string decoding (#15304) @etseidl
• Update script input name (#15301) @AyodeAwe
• Make test_read_parquet_partitioned_filtered data deterministic (#15296) @mroeschke
• Add timeout for cudf.pandas pandas tests (#15284) @galipremsagar
• Add upper bound to prevent usage of NumPy 2 (#15283) @bdice
• Fix cudf::test::to_host return of host_vector (#15263) @davidwendt
• Implement grouped product scan (#15254) @wence-
• Add CUDA 12.4 to supported PTX versions (#15247) @brandon-b-miller
• Implement DataFrame|Series.squeeze (#15244) @mroeschke
• Roll back ipow changes due to register pressure. (#15242) @pmattione-nvidia
• Remove create_chars_child_column utility (#15241) @davidwendt
• Update dlpack to version 0.8 (#15237) @dantegd
• Improve performance in JSON reader when mixed_types_as_string option is enabled (#15236) @shrshi
• Remove row conversion code from libcudf (#15234) @ttnghia
• Use variable substitution for RAPIDS version in Doxyfile (#15231) @KyleFromNVIDIA
• Add ListColumns.to_pandas(arrow_type=) (#15228) @mroeschke
• Treat dask-cudf CI artifacts as pure wheels (#15223) @bdice
• Clean up usage of CUDA_ARCH and other macros. (#15218) @bdice
• DOC: use constants in performance-comparisons.ipynb (#15215) @raybellwaves
• Rewrite conversion in terms of column (#15213) @vyasr
• Switch pytest-xdist algo to worksteal (#15207) @galipremsagar
• Deprecate strings_column_view::offsets_begin() (#15205) @davidwendt
• Add get_upstream_resource method to stream_checking_resource_adaptor (#15203) @miscco
• Tune up row size estimation in the data generator (#15202) @vuule
• Fix offset value for generating test data in parquet_chunked_reader_test.cu (#15200) @ttnghia
• Change strings_column_view::char_size to return int64 (#15197) @davidwendt
• Fix includes for row_operators.cuh (#15194) @davidwendt
• Generalize GHA selectors for pure Python testing (#15191) @bdice
• Improvements for __cuda_array_interface__ tests (#15188) @bdice
• Allow to_pandas to return pandas.ArrowDtype (#15182) @mroeschke
• Ignore byte_range in read_json when the size is not smaller than the input data (#15180) @vuule
• Expose new stable_sort and finish stream_compaction in pylibcudf (#15175) @wence-
• [ci] update matrix filters for dask-cudf builds (#15174) @jameslamb
• Change make_strings_children to return uvector (#15171) @davidwendt
• Don't override to_pandas for Datelike columns (#15167) @mroeschke
• Drop python-snappy from dependencies. (#15161) @bdice
• Add microkernels for fixed-width and fixed-width dictionary in Parquet decode (#15159) @abellina
• Make HostColumnVector.DataType accessor methods public (#15157) @jbrennan333
• Java bindings for left outer distinct join (#15154) @jlowe
• Forward-merge branch-24.02 to branch-24.04 (#15153) @bdice
• Enable pandas pytests for cudf.pandas (#15147) @galipremsagar
• Add java option to keep quotes for JSON reads (#15146) @revans2
• Change cross-pandas-version testing in cudf (#15145) @galipremsagar
• Use hostdevice_vector in kernel_error to avoid the pageable copy (#15140) @vuule
• Clean up Columns.astype & cudf.dtype (#15125) @mroeschke
• Simplify some to_pandas implementations (#15123) @mroeschke
• Java: Add leak tracking for Scalar instances (#15121) @jlowe
• Remove calls to strings_column_view::offsets_begin() (#15112) @davidwendt
• Add support for Python 3.11, require NumPy 1.23+ (#15111) @jameslamb
• Compile-time ipow computation with array lookup (#15110) @pmattione-nvidia
• Upgrade to arrow-14.0.2 (#15108) @galipremsagar
• Dynamically set version in RAPIDS doc builds (#15101) @jakirkham
• Add support for pandas-2.2 in cudf (#15100) @galipremsagar
• Update devcontainers to CUDA Toolkit 12.2 (#15099) @trxcllnt
• Fix datetime binop pytest failures in pandas-2.2 (#15090) @galipremsagar
• Validate types in pylibcudf Column/Table constructors (#15088) @wence-
• xfail test_join_ordering_pandas_compat for pandas 2.2 (#15080) @mroeschke
• Add general purpose host memory allocator reference to cuIO with a demo of pooled-pinned allocation. (#15079) @nvdbaranec
• Adjust test_binops for pandas 2.2 (#15078) @mroeschke
• Remove offsets_begin() call from nvtext::generate_ngrams (#15077) @davidwendt
• Use offsetalator in cudf::detail::has_nonempty_null_rows (#15076) @davidwendt
• Deprecate cudf::hashing::spark_murmurhash3_x86_32 (#15074) @davidwendt
• Fix cudf::test::to_host to handle both offset types for strings columns (#15073) @davidwendt
• Add condition for test_groupby_nulls_basic in pandas 2.2 (#15072) @mroeschke
• xfail tests in test_udf_masked_ops due to pandas 2.2 bug (#15071) @mroeschke
• target branch-24.04 for GitHub Actions workflows (#15069) @jameslamb
• Implement stable version of cudf::sort (#15066) @wence-
• Fix ORC and JSON tests failures for pandas 2.2 (#15062) @mroeschke
• Adjust test_joining for pandas 2.2 (#15060) @mroeschke
• Align MultiIndex.get_indexder with pandas 2.2 change (#15059) @mroeschke
• Fix test_resample index dtype checking for pandas 2.2 (#15058) @mroeschke
• Split out strings/replace.cu and rework its gtests (#15054) @davidwendt
• Avoid incompatible value type setting in test_rolling for pandas 2.2 (#15050) @mroeschke
• Change chained replace inplace test to COW test for pandas 2.2 (#15049) @mroeschke
• Deprecate datelike isin casting strings to dates to match pandas 2.2 (#15046) @mroeschke
• Avoid chained indexing in test_indexing for pandas 2.2 (#15045) @mroeschke
• Avoid pandas 2.2 DeprecationWarning in test_hdf (#15044) @mroeschke
• Use appropriate make_offsets_child_column for building lists columns (#15043) @davidwendt
• Factor out position-offsets logic from strings split_helper utility (#15040) @davidwendt
• Forward-merge branch-24.02 to branch-24.04 (#15039) @bdice
• Clean up nvtx macros (#15038) @PointKernel
• Add xfailures for test_applymap for pandas 2.2 (#15034) @mroeschke
• Expose libcudf filter expression in read_parquet (#15028) @wence-
• Adjust tests in test_dataframe.py for pandas 2.2 (#15023) @mroeschke
• Adjust test_datetime_infer_format for pandas 2.2 (#15021) @mroeschke
• Performance optimizations for parquet sub-rowgroup reader. (#15020) @nvdbaranec
• JNI bindings for distinct_hash_join (#15019) @jlowe
• Change copy_if_safe to call thrust instead of the overload function (#15018) @davidwendt
• Improve performance of copy_if_else for long strings (#15017) @davidwendt
• Fix is_string_dtype test for pandas 2.2 (#15012) @mroeschke
• Rework cudf::strings::detail::copy_range for offsetalator (#15010) @davidwendt
• Use offsetalator in cudf::get_json_object() (#15009) @davidwendt
• Align integral types in ORC to specs (#15008) @vuule
• Clean up detail sequence header inclusion (#15007) @PointKernel
• Add groupby.apply(include_groups=) to match pandas 2.2 deprecation (#15006) @mroeschke
• Use offsetalator in cudf::interleave_columns() (#15004) @davidwendt
• Use offsetalator in cudf::row_bit_count() (#15003) @davidwendt
• Use offsetalator in cudf::strings::wrap() (#15002) @davidwendt
• Use offsetalator in cudf::strings::reverse (#15001) @davidwendt
• Deprecate groupby fillna (#15000) @mroeschke
• Ensure to_* IO methods respect pandas 2.2 keyword only deprecation (#14999) @mroeschke
• Remove unneeded calls to create_chars_child_column utility (#14997) @davidwendt
• Add environment-agnostic scripts for running ctests and pytests (#14992) @trxcllnt
• Filter all DeprecationWarning's by ArrowTable.to_pandas() (#14989) @galipremsagar
• Deprecate replace with categorical columns (#14988) @mroeschke
• Deprecate delim_whitespace in read_csv for pandas 2.2 (#14986) @mroeschke
• Deprecate parameters similar to pandas 2.2 (#14984) @mroeschke
• Ensure that ctest is called with --no-tests=error. (#14983) @bdice
• Deprecate non-integer periods in date_range and interval_range (#14976) @galipremsagar
• Update ops-bot.yaml (#14974) @AyodeAwe
• Use page statistics in Parquet reader (#14973) @etseidl
• Use fused types for overloaded function signatures (#14969) @vyasr
• Deprecate certain frequency strings (#14967) @galipremsagar
• Update copyrights for 24.04. (#14964) @bdice
• Add missing atomic operators, refactor atomic operators, move atomic operators to detail namespace. (#14962) @bdice
• Introduce GetJsonObjectOptions in getJSONObject Java API (#14956) @SurajAralihalli
• JNI JSON read with DataSource and infered schema, along with basic java nested Schema JSON reads (#14954) @revans2
• Make codecov only informational (always pass). (#14952) @bdice
• Replace legacy cudf and dask_cudf imports as (d)gd (#14944) @mroeschke
• Replace _is_datetime64tz/interval_dtype with isinstance (#14943) @mroeschke
• Update tests for pandas 2. (#14941) @bdice
• Use more public pandas APIs (#14929) @mroeschke
• Replace local copyright check with pre-commit-hooks verify-copyright (#14917) @KyleFromNVIDIA
• Add pandas-2.x support in cudf (#14916) @galipremsagar
• Use offsetalator in nvtext::byte_pair_encoding (#14888) @davidwendt
• De-DOS line-endings (#14880) @wence-
• Add detail cuco_allocator (#14877) @PointKernel
• Move all core types to using enum class in Cython (#14876) @vyasr
• Read cudf.__version__ in Sphinx build (#14872) @KyleFromNVIDIA
• Use int64 offset types for accessing code-points in nvtext::normalize (#14868) @davidwendt
• Read version from VERSION file in CMake (#14867) @KyleFromNVIDIA
• Update conda-cpp-post-build-checks to branch-24.04. (#14854) @bdice
• Update cudf for compatibility with the latest cuco (#14849) @PointKernel
• Remove deprecated strings functions (#14848) @davidwendt
• Fix CI workflows for pandas-tests and add test summary. (#14847) @bdice
• Use offsetalator in cudf::strings::copy_slice (#14844) @davidwendt
• Fix V2 Parquet page alignment for use with zStandard compression (#14841) @etseidl
• Fix calls to deprecated strings factory API in examples. (#14838) @bdice
• Update pre-commit hooks (#14837) @bdice
• Use rapids_cuda_set_runtime to determine cuda runtime usage by target (#14833) @vyasr
• Remove get_mem_info functions from custom memory resources (#14832) @harrism
• Fix debug build by splitting row_operator_tests_utilities.cu (#14826) @davidwendt
• Remove -DNVBench_ENABLE_CUPTI=OFF. (#14820) @bdice
• Use cuco::static_set in the hash-based groupby (#14813) @PointKernel
• Branch 24.04 merge branch 24.02 (#14809) @vyasr
• Branch 24.04 merge branch 24.02 (#14806) @vyasr
• Introduce basic "cudf" backend for Dask Expressions (#14805) @rjzamora
• Remove build_struct|list_column (#14786) @mroeschke
• Use offsetalator in nvtext tokenize functions (#14783) @davidwendt
• Reduce execution time of Python ORC tests (#14776) @vuule
• Use offsetalator in cudf::strings::split functions (#14757) @davidwendt
• Use offsetalator in cudf::strings::findall (#14745) @davidwendt
• Use offsetalator in cudf::strings::url_decode (#14744) @davidwendt
• Use get_offset_value utility in strings shift function (#14743) @davidwendt
• Use as_column instead of full (#14698) @mroeschke
• List all notable breaking changes (#13535) @galipremsagar

🔗 Links

• Development Branch
• Compare with main branch

🚨 Breaking Changes

• Remove deprecated strings offsets_begin (#15454) @davidwendt
• Floating <--> fixed-point conversion must now be called explicitly (#15438) @pmattione-nvidia
• Remove deprecated hash() and spark_murmurhash3_x86_32() (#15375) @davidwendt
• Remove empty elements from exploded character-ngrams output (#15371) @davidwendt
• [FEA] Performance improvement for mixed left semi/anti join (#15288) @tgujar
• Align date_range defaults with pandas, support tz (#15139) @mroeschke

🐛 Bug Fixes

• nanoarrow uses package override for proper pinned versions generation (#15515) @robertmaynard
• Make improvements in pandas-test reporting (#15485) @galipremsagar
• Fixed page data truncation in parquet writer under certain conditions. (#15474) @nvdbaranec
• Only use data_type constructor with scale for decimal types (#15472) @wence-
• Avoid "p2p" shuffle as a default when dask_cudf is imported (#15469) @rjzamora
• Fix debug build errors from to_arrow_device_test.cpp (#15463) @davidwendt
• Fix base_normalator::integer_sizeof_fn integer dispatch (#15457) @davidwendt
• Allow consumers of static builds to find nanoarrow (#15456) @robertmaynard
• Allow jit compilation when using a splayed CUDA toolkit (#15451) @robertmaynard
• Test static builds in CI and fix nanoarrow configure (#15437) @vyasr
• Fixes potential race in JSON parser when parsing JSON lines format and when recovering from invalid lines (#15419) @elstehle
• Fix errors in chunked ORC writer when no tables were (successfully) written (#15393) @vuule
• Support implicit array conversion with query-planning enabled (#15378) @rjzamora
• Fix arrow-based round trip of empty dataframes (#15373) @wence-
• Remove empty elements from exploded character-ngrams output (#15371) @davidwendt
• Remove boundscheck=False setting in cython files (#15362) @wence-
• Patch dask-expr var logic in dask-cudf (#15347) @rjzamora
• Fix for logical and syntactical errors in libcudf c++ examples (#15346) @mhaseeb123
• Disable dask-expr in docs builds. (#15343) @bdice
• Apply the cuFile error work around to data_sink as well (#15335) @vuule

📖 Documentation

• Add debug tips section to libcudf developer guide (#15329) @davidwendt

🚀 New Features

• Introduce benchmark suite for JSON reader options (#15124) @shrshi
• Add to_arrow_device function to cudf interop using nanoarrow (#15047) @zeroshade

🛠️ Improvements

• Enable tests/scalar and test/series in cudf.pandas tests (#15486) @mroeschke
• Avoid .ordered and .categories from being settable in CategoricalColumn and CategoricalDtype (#15475) @mroeschke
• Ignore pandas tests for cudf.pandas that need motoserver (#15468) @mroeschke
• Use cached_property for NumericColumn.nan_count instead of ._nan_count variable (#15466) @mroeschke
• Add custom status check workflow (#15464) @galipremsagar
• Enable tests/strings/test_api.py and tests/io/pytables in cudf.pandas tests (#15461) @mroeschke
• Remove deprecated strings offsets_begin (#15454) @davidwendt
• Enable tests/windows/ in cudf.pandas tests (#15444) @mroeschke
• Enable tests/interchange/test_impl.py in cudf.pandas tests (#15443) @mroeschke
• Enable tests/io/test_user_agent.py in cudf pandas tests (#15442) @mroeschke
• Remove prior test skipping in run-pandas-tests with testing 2.2.1 (#15440) @mroeschke
• Support orc and text IO with dask-expr using legacy conversion (#15439) @rjzamora
• Floating <--> fixed-point conversion must now be called explicitly (#15438) @pmattione-nvidia
• Enable dask_cudf json and s3 tests with query-planning on (#15408) @rjzamora
• Bump ruff and codespell pre-commit checks (#15407) @mroeschke
• Enable all tests for arm arch (#15402) @galipremsagar
• Remove deprecated hash() and spark_murmurhash3_x86_32() (#15375) @davidwendt
• Enable test-reporting for pandas pytests in CI (#15369) @galipremsagar
• Use logical types in Parquet reader (#15365) @etseidl
• Forward-merge branch-24.04 to branch-24.06 (#15349) @bdice
• Use ruff pydocstyle over pydocstyle pre-commit hook (#15345) @mroeschke
• Refactor stream mode setup for gtests (#15337) @davidwendt
• Avoid duplicate dask-cudf testing (#15333) @rjzamora
• Update udf_cpp to use rapids_cpm_cccl. (#15331) @bdice
• Forward-merge branch-24.04 into branch-24.06 [skip ci] (#15330) @rapids-bot[bot]
• Allow numeric_only=True for simple groupby reductions (#15326) @rjzamora
• Drop CentOS 7 support. (#15323) @bdice
• Rework cudf::find_and_replace_all to use gather-based make_strings_column (#15305) @davidwendt
• First pass at adding testing for pylibcudf (#15300) @vyasr
• [FEA] Performance improvement for mixed left semi/anti join (#15288) @tgujar
• Rework cudf::replace_nulls to use strings::detail::copy_if_else (#15286) @davidwendt
• Large strings support in cudf::concatenate (#15195) @davidwendt
• Use less _is_categorical_dtype (#15148) @mroeschke
• Align date_range defaults with pandas, support tz (#15139) @mroeschke
• ModuleAccelerator performance: cache the result of checking if a caller is in the denylist (#15056) @shwina
• Use offsetalator in cudf::strings::replace functions (#14824) @davidwendt
• Cleanup some timedelta/datetime column logic (#14715) @mroeschke
• Refactor numpy array input in as_column (#14651) @mroeschke

🚨 Breaking Changes

• Remove **kwargs from astype (#14765) @mroeschke
• Remove mimesis as a testing dependency (#14723) @mroeschke
• Update to Dask's shuffle_method kwarg (#14708) @pentschev
• Drop Pascal GPU support. (#14630) @bdice
• Update to CCCL 2.2.0. (#14576) @bdice
• Expunge as_frame conversions in Column algorithms (#14491) @wence-
• Deprecate cudf::make_strings_column accepting typed offsets (#14461) @davidwendt
• Remove deprecated nvtext::load_merge_pairs_file (#14460) @davidwendt
• Include writer code and writerVersion in ORC files (#14458) @vuule
• Remove null mask for zero nulls in json readers (#14451) @karthikeyann
• REF: Remove **kwargs from to_pandas, raise if nullable is not implemented (#14438) @mroeschke
• Consolidate 1D pandas object handling in as_column (#14394) @mroeschke
• Move chars column to parent data buffer in strings column (#14202) @karthikeyann
• Switch to scikit-build-core (#13531) @vyasr

🐛 Bug Fixes

• Bump to nvcomp 3.0.6. (#15128) @bdice
• [HOTFIX] Unpin numba<0.58 (#15031) @raydouglass
• Exclude tests from builds (#14981) @vyasr
• Fix the bounce buffer size in ORC writer (#14947) @vuule
• Revert sum/product aggregation to always produce int64_t type (#14907) @SurajAralihalli
• Fixed an issue with output chunking computation stemming from input chunking. (#14889) @nvdbaranec
• Fix total_byte_size in Parquet row group metadata (#14802) @etseidl
• Fix index difference to follow the pandas format (#14789) @amiralimi
• Fix shared-workflows repo name (#14784) @raydouglass
• Remove unparseable attributes from all nodes (#14780) @vyasr
• Refactor and add validation to IntervalIndex.init (#14778) @mroeschke
• Work around incompatibilities between V2 page header handling and zStandard compression in Parquet writer (#14772) @etseidl
• Fix calls to deprecated strings factory API (#14771) @davidwendt
• Fix ptx file discovery in editable installs (#14767) @vyasr
• Revise shuffle deprecation to align with dask/dask (#14762) @rjzamora
• Enable intermediate proxies to be picklable (#14752) @shwina
• Add CUDF_TEST_PROGRAM_MAIN macro to tests lacking it (#14751) @etseidl
• Fix CMake args (#14746) @vyasr
• Fix logic bug introduced in #14730 (#14742) @wence-
• [Java] Choose The Correct RoundingMode For Checking Decimal OutOfBounds (#14731) @razajafri
• Fix Groupby.get_group (#14728) @rjzamora
• Ensure that all CUDA kernels in cudf have hidden visibility. (#14726) @robertmaynard
• Split cuda versions for notebook testing (#14722) @raydouglass
• Fix to_numeric not preserving Series index and name (#14718) @mroeschke
• Update dask-cudf wheel name (#14713) @raydouglass
• Fix strings::contains matching end of string target (#14711) @davidwendt
• Update to Dask's shuffle_method kwarg (#14708) @pentschev
• Write file-level statistics when writing ORC files with zero rows (#14707) @vuule
• Potential fix for peformance regression in #14415 (#14706) @etseidl
• Ensure DataFrame column types are preserved during serialization (#14705) @mroeschke
• Skip numba test that fails on ARM (#14702) @brandon-b-miller
• Allow Z in datetime string parsing in non pandas compat mode (#14701) @mroeschke
• Fix nan_as_null not being respected when passing arrow object (#14688) @mroeschke
• Fix constructing Series/Index from arrow array and dtype (#14686) @mroeschke
• Fix Aggregation Type Promotion: Ensure Unsigned Input Types Result in Unsigned Output for Sum and Multiply (#14679) @SurajAralihalli
• Add BaseOffset as a final proxy type to pass instancechecks for offsets against BaseOffset (#14678) @shwina
• Add row conversion code from spark-rapids-jni (#14664) @ttnghia
• Unconditionally export the CCCL path (#14656) @vyasr
• Ensure libcudf searches for our patched version of CCCL first (#14655) @robertmaynard
• Constrain CUDA in notebook testing to prevent CUDA 12.1 usage until we have pynvjitlink (#14648) @vyasr
• Fix invalid memory access in Parquet reader (#14637) @etseidl
• Use column_empty over as_column([]) (#14632) @mroeschke
• Add (implicit) handling for torch tensors in is_scalar (#14623) @wence-
• Fix astype/fillna not maintaining column subclass and types (#14615) @mroeschke
• Remove non-empty nulls in cudf::get_json_object (#14609) @davidwendt
• Remove cuda::proclaim_return_type from nested lambda (#14607) @ttnghia
• Fix DataFrame.reindex when column reindexing to MultiIndex/RangeIndex (#14605) @mroeschke
• Address potential race conditions in Parquet reader (#14602) @etseidl
• Fix DataFrame.reindex removing column name (#14601) @mroeschke
• Remove unsanitized input test data from copy gtests (#14600) @davidwendt
• Fix race detected in Parquet writer (#14598) @etseidl
• Correct invalid or missing return types (#14587) @robertmaynard
• Fix unsanitized nulls from strings segmented-reduce (#14586) @davidwendt
• Upgrade to nvCOMP 3.0.5 (#14581) @davidwendt
• Fix unsanitized nulls produced by cudf::clamp APIs (#14580) @davidwendt
• Fix unsanitized nulls produced by libcudf dictionary decode (#14578) @davidwendt
• Fixes a symbol group lookup table issue (#14561) @elstehle
• Drop llvm16 from cuda118-conda devcontainer image (#14526) @charlesbluca
• REF: Make DataFrame.from_pandas process by column (#14483) @mroeschke
• Improve memory footprint of isin by using contains (#14478) @wence-
• Move creation of env.yaml outside the current directory (#14476) @davidwendt
• Enable pd.Timestamp objects to be picklable when cudf.pandas is active (#14474) @shwina
• Correct dtype of count aggregations on empty dataframes (#14473) @wence-
• Avoid DataFrame conversion in MultiIndex.from_pandas (#14470) @mroeschke
• JSON writer: avoid default stream use in string_scalar constructors (#14444) @vuule
• Fix default stream use in the CSV reader (#14443) @vuule
• Preserve DataFrame(columns=).columns dtype during empty-like construction (#14381) @mroeschke
• Defer PTX file load to runtime (#13690) @brandon-b-miller

📖 Documentation

• Disable parallel build (#14796) @vyasr
• Add pylibcudf to the docs (#14791) @vyasr
• Describe unpickling expectations when cudf.pandas is enabled (#14693) @shwina
• Update CONTRIBUTING for pyproject-only builds (#14653) @vyasr
• More doxygen fixes (#14639) @vyasr
• Enable doxygen XML generation and fix issues (#14477) @vyasr
• Some doxygen improvements (#14469) @vyasr
• Remove warning in dask-cudf docs (#14454) @wence-
• Update README links with redirects. (#14378) @bdice
• Add pip install instructions to README (#13677) @shwina

🚀 New Features

• Add ci check for external kernels (#14768) @robertmaynard
• JSON single quote normalization API (#14729) @shrshi
• Write cuDF version in Parquet "created_by" metadata field (#14721) @etseidl
• Implement remaining copying APIs in pylibcudf along with required helper functions (#14640) @vyasr
• Don't constrain numba<0.58 (#14616) @brandon-b-miller
• Add DELTA_LENGTH_BYTE_ARRAY encoder and decoder for Parquet (#14590) @etseidl
• JSON - Parse mixed types as string in JSON reader (#14572) @karthikeyann
• JSON quote normalization (#14545) @shrshi
• Make DefaultHostMemoryAllocator settable (#14523) @gerashegalov
• Implement more copying APIs in pylibcudf (#14508) @vyasr
• Include writer code and writerVersion in ORC files (#14458) @vuule
• Parquet sub-rowgroup reading. (#14360) @nvdbaranec
• Move chars column to parent data buffer in strings column (#14202) @karthikeyann
• PARQUET-2261 Size Statistics (#14000) @etseidl
• Improve GroupBy JIT error handling (#13854) @brandon-b-miller
• Generate unified Python/C++ docs (#13846) @vyasr
• Expand JIT groupby test suite (#13813) @brandon-b-miller

🛠️ Improvements

• Pin pytest<8 (#14920) @galipremsagar
• Move cudf::char_utf8 definition from detail to public header (#14779) @davidwendt
• Clean up TimedeltaIndex.__init__ constructor (#14775) @mroeschke
• Clean up DatetimeIndex.__init__ constructor (#14774) @mroeschke
• Some frame.py typing, move seldom used methods in frame.py (#14766) @mroeschke
• Remove **kwargs from astype (#14765) @mroeschke
• fix benchmarks compatibility with newer pytest-cases (#14764) @jameslamb
• Add pynvjitlink as a dependency (#14763) @brandon-b-miller
• Resolve degenerate performance in create_structs_data (#14761) @SurajAralihalli
• Simplify ColumnAccessor methods; avoid unnecessary validations (#14758) @mroeschke
• Pin pytest-cases<3.8.2 (#14756) @mroeschke
• Use _from_data instead of _from_columns for initialzing Frame (#14755) @mroeschke
• Consolidate cudf object handling in as_column (#14754) @mroeschke
• Reduce execution time of Parquet C++ tests (#14750) @vuule
• Implement to_datetime(..., utc=True) (#14749) @mroeschke
• Remove usages of rapids-env-update (#14748) @KyleFromNVIDIA
• Provide explicit pool size and avoid RMM detail APIs (#14741) @harrism
• Implement cudf.MultiIndex.from_arrays (#14740) @mroeschke
• Remove unused/single use methods (#14739) @mroeschke
• refactor CUDA versions in dependencies.yaml (#14733) @jameslamb
• Remove unneeded methods in Column (#14730) @mroeschke
• Clean up base column methods (#14725) @mroeschke
• Ensure column.fillna signatures are consistent (#14724) @mroeschke
• Remove mimesis as a testing dependency (#14723) @mroeschke
• Replace as_numerical with as_numerical_column/codes (#14719) @mroeschke
• Use offsetalator in gather_chars (#14700) @davidwendt
• Use make_strings_children for fill() specialization logic (#14697) @davidwendt
• Change io::detail::orc namespace into io::orc::detail (#14696) @ttnghia
• Fix call to deprecated factory function (#14695) @davidwendt
• Use as_column instead of arange for range like inputs (#14689) @mroeschke
• Reorganize ORC reader into multiple files and perform some small fixes to cuIO code (#14665) @ttnghia
• Split parquet test into multiple files (#14663) @etseidl
• Custom error messages for IO with nonexistent files (#14662) @vuule
• Explicitly pass .dtype into is_foo_dtype functions (#14657) @mroeschke
• Basic validation in reader benchmarks (#14647) @vuule
• Update dependencies.yaml to support CUDA 12.*. (#14644) @bdice
• Consolidate memoryview handling in as_column (#14643) @mroeschke
• Convert FieldType to scoped enum (#14642) @vuule
• Use instance over is_foo_dtype (#14641) @mroeschke
• Use isinstance over is_foo_dtype internally (#14638) @mroeschke
• Remove unnecessary **kwargs in function signatures (#14635) @mroeschke
• Drop nvbench patch for nvml. (#14631) @bdice
• Drop Pascal GPU support. (#14630) @bdice
• Add cpp/doxygen/xml to .gitignore (#14613) @davidwendt
• Create strings-specific make_offsets_child_column for multiple offset types (#14612) @davidwendt
• Use the offsetalator in cudf::concatenate for strings (#14611) @davidwendt
• Make Parquet ColumnIndex null_counts optional (#14596) @etseidl
• Support freq in DatetimeIndex (#14593) @shwina
• Remove legacy benchmarks for cuDF-python (#14591) @osidekyle
• Remove WORKSPACE env var from cudf_test temp_directory class (#14588) @davidwendt
• Use exceptions instead of return values to handle errors in CompactProtocolReader (#14582) @vuule
• Use cuda::proclaim_return_type on device lambdas. (#14577) @bdice
• Update to CCCL 2.2.0. (#14576) @bdice
• Update dependencies.yaml to new pip index (#14575) @vyasr
• Simplify Python CMake (#14565) @vyasr
• Java expose parquet pass_read_limit (#14564) @revans2
• Add column sanitization checks in CUDF_TEST_EXPECT_COLUMN_* macros (#14559) @SurajAralihalli
• Use cudf_test temp_directory class for nvtext::subword_tokenize gbenchmark (#14558) @davidwendt
• Fix return type of prefix increment overloads (#14544) @vuule
• Make bpe_merge_pairs_impl member private (#14543) @davidwendt
• Small clean up in io::statistics (#14542) @vuule
• Change json gtest environment variable to compile-time definition (#14541) @davidwendt
• Remove extra total chars size calculation from cudf::concatenate (#14540) @davidwendt
• Refactor IndexedFrame.hash_values to use cudf::hashing functions, add xxhash64 to cudf Python. (#14538) @bdice
• Move non-templated inline function definitions from table_view.hpp to table_view.cpp (#14535) @davidwendt
• Add JNI for strings::code_points (#14533) @thirtiseven
• Add a test for issue 12773 (#14529) @vyasr
• Split libarrow build dependencies. (#14506) @bdice
• Implement IndexedFrame.duplicated with distinct_indices + scatter (#14493) @wence-
• Expunge as_frame conversions in Column algorithms (#14491) @wence-
• Remove unsanitized null from input strings column in rank_tests.cpp (#14475) @davidwendt
• Refactor Parquet kernel_error (#14464) @etseidl
• Deprecate cudf::make_strings_column accepting typed offsets (#14461) @davidwendt
• Remove deprecated nvtext::load_merge_pairs_file (#14460) @davidwendt
• Introduce Comprehensive Pathological Unit Tests for Issue #14409 (#14459) @aocsa
• Expose stream parameter in public nvtext APIs (#14456) @davidwendt
• Include encode type in the error message when unsupported Parquet encoding is detected (#14453) @ZelboK
• Remove null mask for zero nulls in json readers (#14451) @karthikeyann
• Refactor cudf.Series.init (#14450) @mroeschke
• Remove the use of volatile in Parquet (#14448) @vuule
• REF: Remove **kwargs from to_pandas, raise if nullable is not implemented (#14438) @mroeschke
• Testing stream pool implementation (#14437) @shrshi
• Match pandas join ordering obligations in pandas-compatible mode (#14428) @wence-
• Forward-merge branch-23.12 to branch-24.02 (#14426) @bdice
• Use isinstance(..., cudf.IntervalDtype) instead of is_interval_dtype (#14424) @mroeschke
• Use isinstance(..., cudf.CategoricalDtype) instead of is_categorical_dtype (#14423) @mroeschke
• Forward-merge branch-23.12 to branch-24.02 (#14422) @bdice
• REF: Remove instances of pd.core (#14421) @mroeschke
• Expose streams in public filling APIs for label_bins (#14401) @ZelboK
• Consolidate 1D pandas object handling in as_column (#14394) @mroeschke
• Limit DELTA_BINARY_PACKED encoder to the same number of bits as the physical type being encoded (#14392) @etseidl
• Add SHA-1 and SHA-2 hash functions. (#14391) @bdice
• Expose streams in Parquet reader and writer APIs (#14359) @shrshi
• Update to fmt 10.1.1 and spdlog 1.12.0. (#14355) @bdice
• Replace default stream for scalars and column factories usages (because of defaulted arguments) (#14354) @karthikeyann
• Expose streams in ORC reader and writer APIs (#14350) @shrshi
• Convert compression and io to string axis type in IO benchmarks (#14347) @SurajAralihalli
• Add cuDF devcontainers (#14015) @trxcllnt
• Refactoring of Buffers (last step towards unifying COW and Spilling) (#13801) @madsbk
• Switch to scikit-build-core (#13531) @vyasr
• Simplify null count checking in column equality comparator (#13312) @vyasr

🚨 Breaking Changes

• Remove **kwargs from astype (#14765) @mroeschke
• Remove mimesis as a testing dependency (#14723) @mroeschke
• Update to Dask's shuffle_method kwarg (#14708) @pentschev
• Drop Pascal GPU support. (#14630) @bdice
• Update to CCCL 2.2.0. (#14576) @bdice
• Expunge as_frame conversions in Column algorithms (#14491) @wence-
• Deprecate cudf::make_strings_column accepting typed offsets (#14461) @davidwendt
• Remove deprecated nvtext::load_merge_pairs_file (#14460) @davidwendt
• Include writer code and writerVersion in ORC files (#14458) @vuule
• Remove null mask for zero nulls in json readers (#14451) @karthikeyann
• REF: Remove **kwargs from to_pandas, raise if nullable is not implemented (#14438) @mroeschke
• Consolidate 1D pandas object handling in as_column (#14394) @mroeschke
• Move chars column to parent data buffer in strings column (#14202) @karthikeyann
• Switch to scikit-build-core (#13531) @vyasr

🐛 Bug Fixes

• [HOTFIX] Unpin numba<0.58 (#15031) @raydouglass
• Exclude tests from builds (#14981) @vyasr
• Fix the bounce buffer size in ORC writer (#14947) @vuule
• Revert sum/product aggregation to always produce int64_t type (#14907) @SurajAralihalli
• Fixed an issue with output chunking computation stemming from input chunking. (#14889) @nvdbaranec
• Fix total_byte_size in Parquet row group metadata (#14802) @etseidl
• Fix index difference to follow the pandas format (#14789) @amiralimi
• Fix shared-workflows repo name (#14784) @raydouglass
• Remove unparseable attributes from all nodes (#14780) @vyasr
• Refactor and add validation to IntervalIndex.init (#14778) @mroeschke
• Work around incompatibilities between V2 page header handling and zStandard compression in Parquet writer (#14772) @etseidl
• Fix calls to deprecated strings factory API (#14771) @davidwendt
• Fix ptx file discovery in editable installs (#14767) @vyasr
• Revise shuffle deprecation to align with dask/dask (#14762) @rjzamora
• Enable intermediate proxies to be picklable (#14752) @shwina
• Add CUDF_TEST_PROGRAM_MAIN macro to tests lacking it (#14751) @etseidl
• Fix CMake args (#14746) @vyasr
• Fix logic bug introduced in #14730 (#14742) @wence-
• [Java] Choose The Correct RoundingMode For Checking Decimal OutOfBounds (#14731) @razajafri
• Fix Groupby.get_group (#14728) @rjzamora
• Ensure that all CUDA kernels in cudf have hidden visibility. (#14726) @robertmaynard
• Split cuda versions for notebook testing (#14722) @raydouglass
• Fix to_numeric not preserving Series index and name (#14718) @mroeschke
• Update dask-cudf wheel name (#14713) @raydouglass
• Fix strings::contains matching end of string target (#14711) @davidwendt
• Update to Dask's shuffle_method kwarg (#14708) @pentschev
• Write file-level statistics when writing ORC files with zero rows (#14707) @vuule
• Potential fix for peformance regression in #14415 (#14706) @etseidl
• Ensure DataFrame column types are preserved during serialization (#14705) @mroeschke
• Skip numba test that fails on ARM (#14702) @brandon-b-miller
• Allow Z in datetime string parsing in non pandas compat mode (#14701) @mroeschke
• Fix nan_as_null not being respected when passing arrow object (#14688) @mroeschke
• Fix constructing Series/Index from arrow array and dtype (#14686) @mroeschke
• Fix Aggregation Type Promotion: Ensure Unsigned Input Types Result in Unsigned Output for Sum and Multiply (#14679) @SurajAralihalli
• Add BaseOffset as a final proxy type to pass instancechecks for offsets against BaseOffset (#14678) @shwina
• Add row conversion code from spark-rapids-jni (#14664) @ttnghia
• Unconditionally export the CCCL path (#14656) @vyasr
• Ensure libcudf searches for our patched version of CCCL first (#14655) @robertmaynard
• Constrain CUDA in notebook testing to prevent CUDA 12.1 usage until we have pynvjitlink (#14648) @vyasr
• Fix invalid memory access in Parquet reader (#14637) @etseidl
• Use column_empty over as_column([]) (#14632) @mroeschke
• Add (implicit) handling for torch tensors in is_scalar (#14623) @wence-
• Fix astype/fillna not maintaining column subclass and types (#14615) @mroeschke
• Remove non-empty nulls in cudf::get_json_object (#14609) @davidwendt
• Remove cuda::proclaim_return_type from nested lambda (#14607) @ttnghia
• Fix DataFrame.reindex when column reindexing to MultiIndex/RangeIndex (#14605) @mroeschke
• Address potential race conditions in Parquet reader (#14602) @etseidl
• Fix DataFrame.reindex removing column name (#14601) @mroeschke
• Remove unsanitized input test data from copy gtests (#14600) @davidwendt
• Fix race detected in Parquet writer (#14598) @etseidl
• Correct invalid or missing return types (#14587) @robertmaynard
• Fix unsanitized nulls from strings segmented-reduce (#14586) @davidwendt
• Upgrade to nvCOMP 3.0.5 (#14581) @davidwendt
• Fix unsanitized nulls produced by cudf::clamp APIs (#14580) @davidwendt
• Fix unsanitized nulls produced by libcudf dictionary decode (#14578) @davidwendt
• Fixes a symbol group lookup table issue (#14561) @elstehle
• Drop llvm16 from cuda118-conda devcontainer image (#14526) @charlesbluca
• REF: Make DataFrame.from_pandas process by column (#14483) @mroeschke
• Improve memory footprint of isin by using contains (#14478) @wence-
• Move creation of env.yaml outside the current directory (#14476) @davidwendt
• Enable pd.Timestamp objects to be picklable when cudf.pandas is active (#14474) @shwina
• Correct dtype of count aggregations on empty dataframes (#14473) @wence-
• Avoid DataFrame conversion in MultiIndex.from_pandas (#14470) @mroeschke
• JSON writer: avoid default stream use in string_scalar constructors (#14444) @vuule
• Fix default stream use in the CSV reader (#14443) @vuule
• Preserve DataFrame(columns=).columns dtype during empty-like construction (#14381) @mroeschke
• Defer PTX file load to runtime (#13690) @brandon-b-miller

📖 Documentation

• Disable parallel build (#14796) @vyasr
• Add pylibcudf to the docs (#14791) @vyasr
• Describe unpickling expectations when cudf.pandas is enabled (#14693) @shwina
• Update CONTRIBUTING for pyproject-only builds (#14653) @vyasr
• More doxygen fixes (#14639) @vyasr
• Enable doxygen XML generation and fix issues (#14477) @vyasr
• Some doxygen improvements (#14469) @vyasr
• Remove warning in dask-cudf docs (#14454) @wence-
• Update README links with redirects. (#14378) @bdice
• Add pip install instructions to README (#13677) @shwina

🚀 New Features

• Add ci check for external kernels (#14768) @robertmaynard
• JSON single quote normalization API (#14729) @shrshi
• Write cuDF version in Parquet "created_by" metadata field (#14721) @etseidl
• Implement remaining copying APIs in pylibcudf along with required helper functions (#14640) @vyasr
• Don't constrain numba<0.58 (#14616) @brandon-b-miller
• Add DELTA_LENGTH_BYTE_ARRAY encoder and decoder for Parquet (#14590) @etseidl
• JSON - Parse mixed types as string in JSON reader (#14572) @karthikeyann
• JSON quote normalization (#14545) @shrshi
• Make DefaultHostMemoryAllocator settable (#14523) @gerashegalov
• Implement more copying APIs in pylibcudf (#14508) @vyasr
• Include writer code and writerVersion in ORC files (#14458) @vuule
• Parquet sub-rowgroup reading. (#14360) @nvdbaranec
• Move chars column to parent data buffer in strings column (#14202) @karthikeyann
• PARQUET-2261 Size Statistics (#14000) @etseidl
• Improve GroupBy JIT error handling (#13854) @brandon-b-miller
• Generate unified Python/C++ docs (#13846) @vyasr
• Expand JIT groupby test suite (#13813) @brandon-b-miller

🛠️ Improvements

• Pin pytest<8 (#14920) @galipremsagar
• Move cudf::char_utf8 definition from detail to public header (#14779) @davidwendt
• Clean up TimedeltaIndex.__init__ constructor (#14775) @mroeschke
• Clean up DatetimeIndex.__init__ constructor (#14774) @mroeschke
• Some frame.py typing, move seldom used methods in frame.py (#14766) @mroeschke
• Remove **kwargs from astype (#14765) @mroeschke
• fix benchmarks compatibility with newer pytest-cases (#14764) @jameslamb
• Add pynvjitlink as a dependency (#14763) @brandon-b-miller
• Resolve degenerate performance in create_structs_data (#14761) @SurajAralihalli
• Simplify ColumnAccessor methods; avoid unnecessary validations (#14758) @mroeschke
• Pin pytest-cases<3.8.2 (#14756) @mroeschke
• Use _from_data instead of _from_columns for initialzing Frame (#14755) @mroeschke
• Consolidate cudf object handling in as_column (#14754) @mroeschke
• Reduce execution time of Parquet C++ tests (#14750) @vuule
• Implement to_datetime(..., utc=True) (#14749) @mroeschke
• Remove usages of rapids-env-update (#14748) @KyleFromNVIDIA
• Provide explicit pool size and avoid RMM detail APIs (#14741) @harrism
• Implement cudf.MultiIndex.from_arrays (#14740) @mroeschke
• Remove unused/single use methods (#14739) @mroeschke
• refactor CUDA versions in dependencies.yaml (#14733) @jameslamb
• Remove unneeded methods in Column (#14730) @mroeschke
• Clean up base column methods (#14725) @mroeschke
• Ensure column.fillna signatures are consistent (#14724) @mroeschke
• Remove mimesis as a testing dependency (#14723) @mroeschke
• Replace as_numerical with as_numerical_column/codes (#14719) @mroeschke
• Use offsetalator in gather_chars (#14700) @davidwendt
• Use make_strings_children for fill() specialization logic (#14697) @davidwendt
• Change io::detail::orc namespace into io::orc::detail (#14696) @ttnghia
• Fix call to deprecated factory function (#14695) @davidwendt
• Use as_column instead of arange for range like inputs (#14689) @mroeschke
• Reorganize ORC reader into multiple files and perform some small fixes to cuIO code (#14665) @ttnghia
• Split parquet test into multiple files (#14663) @etseidl
• Custom error messages for IO with nonexistent files (#14662) @vuule
• Explicitly pass .dtype into is_foo_dtype functions (#14657) @mroeschke
• Basic validation in reader benchmarks (#14647) @vuule
• Update dependencies.yaml to support CUDA 12.*. (#14644) @bdice
• Consolidate memoryview handling in as_column (#14643) @mroeschke
• Convert FieldType to scoped enum (#14642) @vuule
• Use instance over is_foo_dtype (#14641) @mroeschke
• Use isinstance over is_foo_dtype internally (#14638) @mroeschke
• Remove unnecessary **kwargs in function signatures (#14635) @mroeschke
• Drop nvbench patch for nvml. (#14631) @bdice
• Drop Pascal GPU support. (#14630) @bdice
• Add cpp/doxygen/xml to .gitignore (#14613) @davidwendt
• Create strings-specific make_offsets_child_column for multiple offset types (#14612) @davidwendt
• Use the offsetalator in cudf::concatenate for strings (#14611) @davidwendt
• Make Parquet ColumnIndex null_counts optional (#14596) @etseidl
• Support freq in DatetimeIndex (#14593) @shwina
• Remove legacy benchmarks for cuDF-python (#14591) @osidekyle
• Remove WORKSPACE env var from cudf_test temp_directory class (#14588) @davidwendt
• Use exceptions instead of return values to handle errors in CompactProtocolReader (#14582) @vuule
• Use cuda::proclaim_return_type on device lambdas. (#14577) @bdice
• Update to CCCL 2.2.0. (#14576) @bdice
• Update dependencies.yaml to new pip index (#14575) @vyasr
• Simplify Python CMake (#14565) @vyasr
• Java expose parquet pass_read_limit (#14564) @revans2
• Add column sanitization checks in CUDF_TEST_EXPECT_COLUMN_* macros (#14559) @SurajAralihalli
• Use cudf_test temp_directory class for nvtext::subword_tokenize gbenchmark (#14558) @davidwendt
• Fix return type of prefix increment overloads (#14544) @vuule
• Make bpe_merge_pairs_impl member private (#14543) @davidwendt
• Small clean up in io::statistics (#14542) @vuule
• Change json gtest environment variable to compile-time definition (#14541) @davidwendt
• Remove extra total chars size calculation from cudf::concatenate (#14540) @davidwendt
• Refactor IndexedFrame.hash_values to use cudf::hashing functions, add xxhash64 to cudf Python. (#14538) @bdice
• Move non-templated inline function definitions from table_view.hpp to table_view.cpp (#14535) @davidwendt
• Add JNI for strings::code_points (#14533) @thirtiseven
• Add a test for issue 12773 (#14529) @vyasr
• Split libarrow build dependencies. (#14506) @bdice
• Implement IndexedFrame.duplicated with distinct_indices + scatter (#14493) @wence-
• Expunge as_frame conversions in Column algorithms (#14491) @wence-
• Remove unsanitized null from input strings column in rank_tests.cpp (#14475) @davidwendt
• Refactor Parquet kernel_error (#14464) @etseidl
• Deprecate cudf::make_strings_column accepting typed offsets (#14461) @davidwendt
• Remove deprecated nvtext::load_merge_pairs_file (#14460) @davidwendt
• Introduce Comprehensive Pathological Unit Tests for Issue #14409 (#14459) @aocsa
• Expose stream parameter in public nvtext APIs (#14456) @davidwendt
• Include encode type in the error message when unsupported Parquet encoding is detected (#14453) @ZelboK
• Remove null mask for zero nulls in json readers (#14451) @karthikeyann
• Refactor cudf.Series.init (#14450) @mroeschke
• Remove the use of volatile in Parquet (#14448) @vuule
• REF: Remove **kwargs from to_pandas, raise if nullable is not implemented (#14438) @mroeschke
• Testing stream pool implementation (#14437) @shrshi
• Match pandas join ordering obligations in pandas-compatible mode (#14428) @wence-
• Forward-merge branch-23.12 to branch-24.02 (#14426) @bdice
• Use isinstance(..., cudf.IntervalDtype) instead of is_interval_dtype (#14424) @mroeschke
• Use isinstance(..., cudf.CategoricalDtype) instead of is_categorical_dtype (#14423) @mroeschke
• Forward-merge branch-23.12 to branch-24.02 (#14422) @bdice
• REF: Remove instances of pd.core (#14421) @mroeschke
• Expose streams in public filling APIs for label_bins (#14401) @ZelboK
• Consolidate 1D pandas object handling in as_column (#14394) @mroeschke
• Limit DELTA_BINARY_PACKED encoder to the same number of bits as the physical type being encoded (#14392) @etseidl
• Add SHA-1 and SHA-2 hash functions. (#14391) @bdice
• Expose streams in Parquet reader and writer APIs (#14359) @shrshi
• Update to fmt 10.1.1 and spdlog 1.12.0. (#14355) @bdice
• Replace default stream for scalars and column factories usages (because of defaulted arguments) (#14354) @karthikeyann
• Expose streams in ORC reader and writer APIs (#14350) @shrshi
• Convert compression and io to string axis type in IO benchmarks (#14347) @SurajAralihalli
• Add cuDF devcontainers (#14015) @trxcllnt
• Refactoring of Buffers (last step towards unifying COW and Spilling) (#13801) @madsbk
• Switch to scikit-build-core (#13531) @vyasr
• Simplify null count checking in column equality comparator (#13312) @vyasr

🚨 Breaking Changes

• Remove **kwargs from astype (#14765) @mroeschke
• Remove mimesis as a testing dependency (#14723) @mroeschke
• Update to Dask's shuffle_method kwarg (#14708) @pentschev
• Drop Pascal GPU support. (#14630) @bdice
• Update to CCCL 2.2.0. (#14576) @bdice
• Expunge as_frame conversions in Column algorithms (#14491) @wence-
• Deprecate cudf::make_strings_column accepting typed offsets (#14461) @davidwendt
• Remove deprecated nvtext::load_merge_pairs_file (#14460) @davidwendt
• Include writer code and writerVersion in ORC files (#14458) @vuule
• Remove null mask for zero nulls in json readers (#14451) @karthikeyann
• REF: Remove **kwargs from to_pandas, raise if nullable is not implemented (#14438) @mroeschke
• Consolidate 1D pandas object handling in as_column (#14394) @mroeschke
• Move chars column to parent data buffer in strings column (#14202) @karthikeyann
• Switch to scikit-build-core (#13531) @vyasr

🐛 Bug Fixes

• Exclude tests from builds (#14981) @vyasr
• Fix the bounce buffer size in ORC writer (#14947) @vuule
• Revert sum/product aggregation to always produce int64_t type (#14907) @SurajAralihalli
• Fixed an issue with output chunking computation stemming from input chunking. (#14889) @nvdbaranec
• Fix total_byte_size in Parquet row group metadata (#14802) @etseidl
• Fix index difference to follow the pandas format (#14789) @amiralimi
• Fix shared-workflows repo name (#14784) @raydouglass
• Remove unparseable attributes from all nodes (#14780) @vyasr
• Refactor and add validation to IntervalIndex.init (#14778) @mroeschke
• Work around incompatibilities between V2 page header handling and zStandard compression in Parquet writer (#14772) @etseidl
• Fix calls to deprecated strings factory API (#14771) @davidwendt
• Fix ptx file discovery in editable installs (#14767) @vyasr
• Revise shuffle deprecation to align with dask/dask (#14762) @rjzamora
• Enable intermediate proxies to be picklable (#14752) @shwina
• Add CUDF_TEST_PROGRAM_MAIN macro to tests lacking it (#14751) @etseidl
• Fix CMake args (#14746) @vyasr
• Fix logic bug introduced in #14730 (#14742) @wence-
• [Java] Choose The Correct RoundingMode For Checking Decimal OutOfBounds (#14731) @razajafri
• Fix Groupby.get_group (#14728) @rjzamora
• Ensure that all CUDA kernels in cudf have hidden visibility. (#14726) @robertmaynard
• Split cuda versions for notebook testing (#14722) @raydouglass
• Fix to_numeric not preserving Series index and name (#14718) @mroeschke
• Update dask-cudf wheel name (#14713) @raydouglass
• Fix strings::contains matching end of string target (#14711) @davidwendt
• Update to Dask's shuffle_method kwarg (#14708) @pentschev
• Write file-level statistics when writing ORC files with zero rows (#14707) @vuule
• Potential fix for peformance regression in #14415 (#14706) @etseidl
• Ensure DataFrame column types are preserved during serialization (#14705) @mroeschke
• Skip numba test that fails on ARM (#14702) @brandon-b-miller
• Allow Z in datetime string parsing in non pandas compat mode (#14701) @mroeschke
• Fix nan_as_null not being respected when passing arrow object (#14688) @mroeschke
• Fix constructing Series/Index from arrow array and dtype (#14686) @mroeschke
• Fix Aggregation Type Promotion: Ensure Unsigned Input Types Result in Unsigned Output for Sum and Multiply (#14679) @SurajAralihalli
• Add BaseOffset as a final proxy type to pass instancechecks for offsets against BaseOffset (#14678) @shwina
• Add row conversion code from spark-rapids-jni (#14664) @ttnghia
• Unconditionally export the CCCL path (#14656) @vyasr
• Ensure libcudf searches for our patched version of CCCL first (#14655) @robertmaynard
• Constrain CUDA in notebook testing to prevent CUDA 12.1 usage until we have pynvjitlink (#14648) @vyasr
• Fix invalid memory access in Parquet reader (#14637) @etseidl
• Use column_empty over as_column([]) (#14632) @mroeschke
• Add (implicit) handling for torch tensors in is_scalar (#14623) @wence-
• Fix astype/fillna not maintaining column subclass and types (#14615) @mroeschke
• Remove non-empty nulls in cudf::get_json_object (#14609) @davidwendt
• Remove cuda::proclaim_return_type from nested lambda (#14607) @ttnghia
• Fix DataFrame.reindex when column reindexing to MultiIndex/RangeIndex (#14605) @mroeschke
• Address potential race conditions in Parquet reader (#14602) @etseidl
• Fix DataFrame.reindex removing column name (#14601) @mroeschke
• Remove unsanitized input test data from copy gtests (#14600) @davidwendt
• Fix race detected in Parquet writer (#14598) @etseidl
• Correct invalid or missing return types (#14587) @robertmaynard
• Fix unsanitized nulls from strings segmented-reduce (#14586) @davidwendt
• Upgrade to nvCOMP 3.0.5 (#14581) @davidwendt
• Fix unsanitized nulls produced by cudf::clamp APIs (#14580) @davidwendt
• Fix unsanitized nulls produced by libcudf dictionary decode (#14578) @davidwendt
• Fixes a symbol group lookup table issue (#14561) @elstehle
• Drop llvm16 from cuda118-conda devcontainer image (#14526) @charlesbluca
• REF: Make DataFrame.from_pandas process by column (#14483) @mroeschke
• Improve memory footprint of isin by using contains (#14478) @wence-
• Move creation of env.yaml outside the current directory (#14476) @davidwendt
• Enable pd.Timestamp objects to be picklable when cudf.pandas is active (#14474) @shwina
• Correct dtype of count aggregations on empty dataframes (#14473) @wence-
• Avoid DataFrame conversion in MultiIndex.from_pandas (#14470) @mroeschke
• JSON writer: avoid default stream use in string_scalar constructors (#14444) @vuule
• Fix default stream use in the CSV reader (#14443) @vuule
• Preserve DataFrame(columns=).columns dtype during empty-like construction (#14381) @mroeschke
• Defer PTX file load to runtime (#13690) @brandon-b-miller

📖 Documentation

• Disable parallel build (#14796) @vyasr
• Add pylibcudf to the docs (#14791) @vyasr
• Describe unpickling expectations when cudf.pandas is enabled (#14693) @shwina
• Update CONTRIBUTING for pyproject-only builds (#14653) @vyasr
• More doxygen fixes (#14639) @vyasr
• Enable doxygen XML generation and fix issues (#14477) @vyasr
• Some doxygen improvements (#14469) @vyasr
• Remove warning in dask-cudf docs (#14454) @wence-
• Update README links with redirects. (#14378) @bdice
• Add pip install instructions to README (#13677) @shwina

🚀 New Features

• Add ci check for external kernels (#14768) @robertmaynard
• JSON single quote normalization API (#14729) @shrshi
• Write cuDF version in Parquet "created_by" metadata field (#14721) @etseidl
• Implement remaining copying APIs in pylibcudf along with required helper functions (#14640) @vyasr
• Don't constrain numba<0.58 (#14616) @brandon-b-miller
• Add DELTA_LENGTH_BYTE_ARRAY encoder and decoder for Parquet (#14590) @etseidl
• JSON - Parse mixed types as string in JSON reader (#14572) @karthikeyann
• JSON quote normalization (#14545) @shrshi
• Make DefaultHostMemoryAllocator settable (#14523) @gerashegalov
• Implement more copying APIs in pylibcudf (#14508) @vyasr
• Include writer code and writerVersion in ORC files (#14458) @vuule
• Parquet sub-rowgroup reading. (#14360) @nvdbaranec
• Move chars column to parent data buffer in strings column (#14202) @karthikeyann
• PARQUET-2261 Size Statistics (#14000) @etseidl
• Improve GroupBy JIT error handling (#13854) @brandon-b-miller
• Generate unified Python/C++ docs (#13846) @vyasr
• Expand JIT groupby test suite (#13813) @brandon-b-miller

🛠️ Improvements

• Pin pytest<8 (#14920) @galipremsagar
• Move cudf::char_utf8 definition from detail to public header (#14779) @davidwendt
• Clean up TimedeltaIndex.__init__ constructor (#14775) @mroeschke
• Clean up DatetimeIndex.__init__ constructor (#14774) @mroeschke
• Some frame.py typing, move seldom used methods in frame.py (#14766) @mroeschke
• Remove **kwargs from astype (#14765) @mroeschke
• fix benchmarks compatibility with newer pytest-cases (#14764) @jameslamb
• Add pynvjitlink as a dependency (#14763) @brandon-b-miller
• Resolve degenerate performance in create_structs_data (#14761) @SurajAralihalli
• Simplify ColumnAccessor methods; avoid unnecessary validations (#14758) @mroeschke
• Pin pytest-cases<3.8.2 (#14756) @mroeschke
• Use _from_data instead of _from_columns for initialzing Frame (#14755) @mroeschke
• Consolidate cudf object handling in as_column (#14754) @mroeschke
• Reduce execution time of Parquet C++ tests (#14750) @vuule
• Implement to_datetime(..., utc=True) (#14749) @mroeschke
• Remove usages of rapids-env-update (#14748) @KyleFromNVIDIA
• Provide explicit pool size and avoid RMM detail APIs (#14741) @harrism
• Implement cudf.MultiIndex.from_arrays (#14740) @mroeschke
• Remove unused/single use methods (#14739) @mroeschke
• refactor CUDA versions in dependencies.yaml (#14733) @jameslamb
• Remove unneeded methods in Column (#14730) @mroeschke
• Clean up base column methods (#14725) @mroeschke
• Ensure column.fillna signatures are consistent (#14724) @mroeschke
• Remove mimesis as a testing dependency (#14723) @mroeschke
• Replace as_numerical with as_numerical_column/codes (#14719) @mroeschke
• Use offsetalator in gather_chars (#14700) @davidwendt
• Use make_strings_children for fill() specialization logic (#14697) @davidwendt
• Change io::detail::orc namespace into io::orc::detail (#14696) @ttnghia
• Fix call to deprecated factory function (#14695) @davidwendt
• Use as_column instead of arange for range like inputs (#14689) @mroeschke
• Reorganize ORC reader into multiple files and perform some small fixes to cuIO code (#14665) @ttnghia
• Split parquet test into multiple files (#14663) @etseidl
• Custom error messages for IO with nonexistent files (#14662) @vuule
• Explicitly pass .dtype into is_foo_dtype functions (#14657) @mroeschke
• Basic validation in reader benchmarks (#14647) @vuule
• Update dependencies.yaml to support CUDA 12.*. (#14644) @bdice
• Consolidate memoryview handling in as_column (#14643) @mroeschke
• Convert FieldType to scoped enum (#14642) @vuule
• Use instance over is_foo_dtype (#14641) @mroeschke
• Use isinstance over is_foo_dtype internally (#14638) @mroeschke
• Remove unnecessary **kwargs in function signatures (#14635) @mroeschke
• Drop nvbench patch for nvml. (#14631) @bdice
• Drop Pascal GPU support. (#14630) @bdice
• Add cpp/doxygen/xml to .gitignore (#14613) @davidwendt
• Create strings-specific make_offsets_child_column for multiple offset types (#14612) @davidwendt
• Use the offsetalator in cudf::concatenate for strings (#14611) @davidwendt
• Make Parquet ColumnIndex null_counts optional (#14596) @etseidl
• Support freq in DatetimeIndex (#14593) @shwina
• Remove legacy benchmarks for cuDF-python (#14591) @osidekyle
• Remove WORKSPACE env var from cudf_test temp_directory class (#14588) @davidwendt
• Use exceptions instead of return values to handle errors in CompactProtocolReader (#14582) @vuule
• Use cuda::proclaim_return_type on device lambdas. (#14577) @bdice
• Update to CCCL 2.2.0. (#14576) @bdice
• Update dependencies.yaml to new pip index (#14575) @vyasr
• Simplify Python CMake (#14565) @vyasr
• Java expose parquet pass_read_limit (#14564) @revans2
• Add column sanitization checks in CUDF_TEST_EXPECT_COLUMN_* macros (#14559) @SurajAralihalli
• Use cudf_test temp_directory class for nvtext::subword_tokenize gbenchmark (#14558) @davidwendt
• Fix return type of prefix increment overloads (#14544) @vuule
• Make bpe_merge_pairs_impl member private (#14543) @davidwendt
• Small clean up in io::statistics (#14542) @vuule
• Change json gtest environment variable to compile-time definition (#14541) @davidwendt
• Remove extra total chars size calculation from cudf::concatenate (#14540) @davidwendt
• Refactor IndexedFrame.hash_values to use cudf::hashing functions, add xxhash64 to cudf Python. (#14538) @bdice
• Move non-templated inline function definitions from table_view.hpp to table_view.cpp (#14535) @davidwendt
• Add JNI for strings::code_points (#14533) @thirtiseven
• Add a test for issue 12773 (#14529) @vyasr
• Split libarrow build dependencies. (#14506) @bdice
• Implement IndexedFrame.duplicated with distinct_indices + scatter (#14493) @wence-
• Expunge as_frame conversions in Column algorithms (#14491) @wence-
• Remove unsanitized null from input strings column in rank_tests.cpp (#14475) @davidwendt
• Refactor Parquet kernel_error (#14464) @etseidl
• Deprecate cudf::make_strings_column accepting typed offsets (#14461) @davidwendt
• Remove deprecated nvtext::load_merge_pairs_file (#14460) @davidwendt
• Introduce Comprehensive Pathological Unit Tests for Issue #14409 (#14459) @aocsa
• Expose stream parameter in public nvtext APIs (#14456) @davidwendt
• Include encode type in the error message when unsupported Parquet encoding is detected (#14453) @ZelboK
• Remove null mask for zero nulls in json readers (#14451) @karthikeyann
• Refactor cudf.Series.init (#14450) @mroeschke
• Remove the use of volatile in Parquet (#14448) @vuule
• REF: Remove **kwargs from to_pandas, raise if nullable is not implemented (#14438) @mroeschke
• Testing stream pool implementation (#14437) @shrshi
• Match pandas join ordering obligations in pandas-compatible mode (#14428) @wence-
• Forward-merge branch-23.12 to branch-24.02 (#14426) @bdice
• Use isinstance(..., cudf.IntervalDtype) instead of is_interval_dtype (#14424) @mroeschke
• Use isinstance(..., cudf.CategoricalDtype) instead of is_categorical_dtype (#14423) @mroeschke
• Forward-merge branch-23.12 to branch-24.02 (#14422) @bdice
• REF: Remove instances of pd.core (#14421) @mroeschke
• Expose streams in public filling APIs for label_bins (#14401) @ZelboK
• Consolidate 1D pandas object handling in as_column (#14394) @mroeschke
• Limit DELTA_BINARY_PACKED encoder to the same number of bits as the physical type being encoded (#14392) @etseidl
• Add SHA-1 and SHA-2 hash functions. (#14391) @bdice
• Expose streams in Parquet reader and writer APIs (#14359) @shrshi
• Update to fmt 10.1.1 and spdlog 1.12.0. (#14355) @bdice
• Replace default stream for scalars and column factories usages (because of defaulted arguments) (#14354) @karthikeyann
• Expose streams in ORC reader and writer APIs (#14350) @shrshi
• Convert compression and io to string axis type in IO benchmarks (#14347) @SurajAralihalli
• Add cuDF devcontainers (#14015) @trxcllnt
• Refactoring of Buffers (last step towards unifying COW and Spilling) (#13801) @madsbk
• Switch to scikit-build-core (#13531) @vyasr
• Simplify null count checking in column equality comparator (#13312) @vyasr

🔗 Links

• Development Branch
• Compare with main branch

🚨 Breaking Changes

• Add future_stack to DataFrame.stack (#15015) @galipremsagar
• Deprecate groupby fillna (#15000) @mroeschke
• Deprecate replace with categorical columns (#14988) @mroeschke
• Deprecate parameters similar to pandas 2.2 (#14984) @mroeschke
• Add pandas-2.x support in cudf (#14916) @galipremsagar

🐛 Bug Fixes

• Fix Index.difference to handle duplicate values when one of the inputs is empty (#15016) @galipremsagar
• Add future_stack to DataFrame.stack (#15015) @galipremsagar
• Fix handling of values=None in pylibcudf GroupBy.get_groups (#14998) @shwina
• Fix DataFrame.sort_index to respect ignore_index on all axis (#14995) @galipremsagar
• Raise for pyarrow array that is tz-aware (#14980) @mroeschke
• Direct SeriesGroupBy.aggregate to SeriesGroupBy.agg (#14971) @rjzamora
• unset CUDF_SPILL after a pytest (#14958) @galipremsagar
• Fix dask token normalization (#14829) @rjzamora
• Fix 24.04 versions (#14825) @raydouglass

📖 Documentation

• [DOC] Update typo in docs example of structs_column_wrapper (#14949) @karthikeyann
• Update cudf.pandas FAQ. (#14940) @bdice
• Optimize doc builds (#14856) @vyasr
• Add developer guideline to use east const. (#14836) @bdice
• Notes convert to Pandas-compat (#12641) @Touutae-lab

🚀 New Features

• Implement replace in pylibcudf (#15005) @vyasr
• Implement rolling in pylibcudf (#14982) @vyasr
• Implement joins in pylibcudf (#14972) @vyasr
• Implement scans and reductions in pylibcudf (#14970) @vyasr
• Rewrite cudf internals using pylibcudf groupby (#14946) @vyasr
• Implement groupby in pylibcudf (#14945) @vyasr
• POC for whitespace removal in input JSON data using FST (#14931) @shrshi
• Remove supports_streams from cuDF custom memory resources. (#14857) @harrism
• Migrate unary operations to pylibcudf (#14850) @vyasr
• Migrate binary operations to pylibcudf (#14821) @vyasr
• Add row index and stripe size options to Python ORC chunked writer (#14785) @vuule
• Support CUDA 12.2 (#14712) @jameslamb

🛠️ Improvements

• Change copy_if_safe to call thrust instead of the overload function (#15018) @davidwendt
• Fix is_string_dtype test for pandas 2.2 (#15012) @mroeschke
• Clean up detail sequence header inclusion (#15007) @PointKernel
• Use offsetalator in cudf::strings::wrap() (#15002) @davidwendt
• Use offsetalator in cudf::strings::reverse (#15001) @davidwendt
• Deprecate groupby fillna (#15000) @mroeschke
• Ensure to_* IO methods respect pandas 2.2 keyword only deprecation (#14999) @mroeschke
• Filter all DeprecationWarning's by ArrowTable.to_pandas() (#14989) @galipremsagar
• Deprecate replace with categorical columns (#14988) @mroeschke
• Deprecate parameters similar to pandas 2.2 (#14984) @mroeschke
• Ensure that ctest is called with --no-tests=error. (#14983) @bdice
• Deprecate non-integer periods in date_range and interval_range (#14976) @galipremsagar
• Use fused types for overloaded function signatures (#14969) @vyasr
• Deprecate certain frequency strings (#14967) @galipremsagar
• Update copyrights for 24.04. (#14964) @bdice
• Introduce GetJsonObjectOptions in getJSONObject Java API (#14956) @SurajAralihalli
• JNI JSON read with DataSource and infered schema, along with basic java nested Schema JSON reads (#14954) @revans2
• Make codecov only informational (always pass). (#14952) @bdice
• Replace legacy cudf and dask_cudf imports as (d)gd (#14944) @mroeschke
• Replace _is_datetime64tz/interval_dtype with isinstance (#14943) @mroeschke
• Update tests for pandas 2. (#14941) @bdice
• Use more public pandas APIs (#14929) @mroeschke
• Add pandas-2.x support in cudf (#14916) @galipremsagar
• Use offsetalator in nvtext::byte_pair_encoding (#14888) @davidwendt
• De-DOS line-endings (#14880) @wence-
• Add detail cuco_allocator (#14877) @PointKernel
• Move all core types to using enum class in Cython (#14876) @vyasr
• Use int64 offset types for accessing code-points in nvtext::normalize (#14868) @davidwendt
• Update conda-cpp-post-build-checks to branch-24.04. (#14854) @bdice
• Remove deprecated strings functions (#14848) @davidwendt
• Fix CI workflows for pandas-tests and add test summary. (#14847) @bdice
• Use offsetalator in cudf::strings::copy_slice (#14844) @davidwendt
• Fix V2 Parquet page alignment for use with zStandard compression (#14841) @etseidl
• Fix calls to deprecated strings factory API in examples. (#14838) @bdice
• Update pre-commit hooks (#14837) @bdice
• Use rapids_cuda_set_runtime to determine cuda runtime usage by target (#14833) @vyasr
• Remove get_mem_info functions from custom memory resources (#14832) @harrism
• Fix debug build by splitting row_operator_tests_utilities.cu (#14826) @davidwendt
• Remove -DNVBench_ENABLE_CUPTI=OFF. (#14820) @bdice
• Branch 24.04 merge branch 24.02 (#14809) @vyasr
• Branch 24.04 merge branch 24.02 (#14806) @vyasr
• Use offsetalator in nvtext tokenize functions (#14783) @davidwendt
• Reduce execution time of Python ORC tests (#14776) @vuule
• Use offsetalator in cudf::strings::split functions (#14757) @davidwendt
• Use offsetalator in cudf::strings::findall (#14745) @davidwendt
• Use offsetalator in cudf::strings::url_decode (#14744) @davidwendt
• Use get_offset_value utility in strings shift function (#14743) @davidwendt

🚨 Breaking Changes

• Raise error in reindex when index is not unique (#14400) @galipremsagar
• Expose stream parameter to get_json_object API (#14297) @davidwendt
• Refactor cudf_kafka to use skbuild (#14292) @jdye64
• Expose stream parameter in public strings convert APIs (#14255) @davidwendt
• Upgrade to nvCOMP 3.0.4 (#13815) @vuule

🐛 Bug Fixes

• Fix synchronization issue when writing string columns with dictionary to ORC (#14595) @vuule
• Update actions/labeler to v4 (#14562) @raydouglass
• Fix data corruption when skipping rows (#14557) @etseidl
• Fix function name typo in cudf.pandas profiler (#14514) @galipremsagar
• Fix intermediate type checking in expression parsing (#14445) @vyasr
• Forward merge branch-23.10 into branch-23.12 (#14435) @raydouglass
• Remove needs: wheel-build-cudf. (#14427) @bdice
• Fix dask dependency in custreamz (#14420) @vyasr
• Ensure nvbench initializes nvml context when built statically (#14411) @robertmaynard
• Support java AST String literal with desired encoding (#14402) @winningsix
• Raise error in reindex when index is not unique (#14400) @galipremsagar
• Always build nvbench statically so we don't need to package it (#14399) @robertmaynard
• Fix token-count logic in nvtext::tokenize_with_vocabulary (#14393) @davidwendt
• Fix as_column(pd.Timestamp/Timedelta, length=) not respecting length (#14390) @mroeschke
• cudf.pandas: cuDF subpath checking in module __getattr__ (#14388) @shwina
• Fix and disable encoding for nanosecond statistics in ORC writer (#14367) @vuule
• Add the new manylinux builds to the build job (#14351) @vyasr
• cudf jit parser now supports .pragma instructions with quotes (#14348) @robertmaynard
• Fix overflow check in cudf::merge (#14345) @divyegala
• Add cramjam (#14344) @vyasr
• Enable dask_cudf/io pytests in CI (#14338) @galipremsagar
• Temporarily avoid the current build of pydata-sphinx-theme (#14332) @vyasr
• Fix host buffer access from device function in the Parquet reader (#14328) @vuule
• Run IO tests for Dask-cuDF (#14327) @rjzamora
• Fix logical type issues in the Parquet writer (#14322) @vuule
• Remove aws-sdk-pinning and revert to arrow 12.0.1 (#14319) @vyasr
• test is_valid before reading column data (#14318) @etseidl
• Fix gtest validity setting for TextTokenizeTest.Vocabulary (#14312) @davidwendt
• Fixes stack context for json lines format that recovers from invalid JSON lines (#14309) @elstehle
• Downgrade to Arrow 12.0.0 for aws-sdk-cpp and fix cudf_kafka builds for new CI containers (#14296) @vyasr
• fixing thread index overflow issue (#14290) @hyperbolic2346
• Fix memset error in nvtext::edit_distance_matrix (#14283) @davidwendt
• Changes JSON reader's recovery option's behaviour to ignore all characters after a valid JSON record (#14279) @elstehle
• Handle empty string correctly in Parquet statistics (#14257) @etseidl
• Fixes behaviour for incomplete lines when recover_with_nulls is enabled (#14252) @elstehle
• cudf::detail::pinned_allocator doesn't throw from deallocate (#14251) @robertmaynard
• Fix strings replace for adjacent, identical multi-byte UTF-8 character targets (#14235) @davidwendt
• Fix the precision when converting a decimal128 column to an arrow array (#14230) @jihoonson
• Fixing parquet list of struct interpretation (#13715) @hyperbolic2346

📖 Documentation

• Fix io reference in docs. (#14452) @bdice
• Update README (#14374) @shwina
• Example code for blog on new row comparators (#13795) @divyegala

🚀 New Features

• Expose streams in public unary APIs (#14342) @vyasr
• Add python tests for Parquet DELTA_BINARY_PACKED encoder (#14316) @etseidl
• Update rapids-cmake functions to non-deprecated signatures (#14265) @robertmaynard
• Expose streams in public null mask APIs (#14263) @vyasr
• Expose streams in binaryop APIs (#14187) @vyasr
• Add pylibcudf.Scalar that interoperates with Arrow scalars (#14133) @vyasr
• Add decoder for DELTA_BYTE_ARRAY to Parquet reader (#14101) @etseidl
• Add DELTA_BINARY_PACKED encoder for Parquet writer (#14100) @etseidl
• Add BytePairEncoder class to cuDF (#13891) @davidwendt
• Upgrade to nvCOMP 3.0.4 (#13815) @vuule
• Use pynvjitlink for CUDA 12+ MVC (#13650) @brandon-b-miller

🛠️ Improvements

• Build concurrency for nightly and merge triggers (#14441) @bdice
• Cleanup remaining usages of dask dependencies (#14407) @galipremsagar
• Update to Arrow 14.0.1. (#14387) @bdice
• Remove Cython libcpp wrappers (#14382) @vyasr
• Forward-merge branch-23.10 to branch-23.12 (#14372) @bdice
• Upgrade to arrow 14 (#14371) @galipremsagar
• Fix a pytest typo in test_kurt_skew_error (#14368) @galipremsagar
• Use new rapids-dask-dependency metapackage for managing dask versions (#14364) @vyasr
• Change nullable() to has_nulls() in cudf::detail::gather (#14363) @divyegala
• Split up scan_inclusive.cu to improve its compile time (#14358) @davidwendt
• Implement user_datasource_wrapper is_empty() and is_device_read_preferred(). (#14357) @tpn
• Added streams to CSV reader and writer api (#14340) @shrshi
• Upgrade wheels to use arrow 13 (#14339) @vyasr
• Rework nvtext::byte_pair_encoding API (#14337) @davidwendt
• Improve performance of nvtext::tokenize_with_vocabulary for long strings (#14336) @davidwendt
• Upgrade arrow to 13 (#14330) @galipremsagar
• Expose stream parameter in public nvtext replace APIs (#14329) @davidwendt
• Drop pyorc dependency and use pandas/pyarrow instead (#14323) @galipremsagar
• Avoid pyarrow.fs import for local storage (#14321) @rjzamora
• Unpin dask and distributed for 23.12 development (#14320) @galipremsagar
• Expose stream parameter in public nvtext tokenize APIs (#14317) @davidwendt
• Added streams to JSON reader and writer api (#14313) @shrshi
• Minor improvements in source_info (#14308) @vuule
• Forward-merge branch-23.10 to branch-23.12 (#14307) @bdice
• Add stream parameter to Set Operations (Public List APIs) (#14305) @SurajAralihalli
• Expose stream parameter to get_json_object API (#14297) @davidwendt
• Sort dictionary data alphabetically in the ORC writer (#14295) @vuule
• Expose stream parameter in public strings filter APIs (#14293) @davidwendt
• Refactor cudf_kafka to use skbuild (#14292) @jdye64
• Update shared-action-workflows references (#14289) @AyodeAwe
• Register partd encode dispatch in dask_cudf (#14287) @rjzamora
• Update versioning strategy (#14285) @vyasr
• Move and rename byte-pair-encoding source files (#14284) @davidwendt
• Expose stream parameter in public strings combine APIs (#14281) @davidwendt
• Expose stream parameter in public strings contains APIs (#14280) @davidwendt
• Add stream parameter to List Sort and Filter APIs (#14272) @SurajAralihalli
• Use branch-23.12 workflows. (#14271) @bdice
• Refactor LogicalType for Parquet (#14264) @etseidl
• Centralize chunked reading code in the parquet reader to reader_impl_chunking.cu (#14262) @nvdbaranec
• Expose stream parameter in public strings replace APIs (#14261) @davidwendt
• Expose stream parameter in public strings APIs (#14260) @davidwendt
• Cleanup of namespaces in parquet code. (#14259) @nvdbaranec
• Make parquet schema index type consistent (#14256) @hyperbolic2346
• Expose stream parameter in public strings convert APIs (#14255) @davidwendt
• Add in java bindings for DataSource (#14254) @revans2
• Reimplement cudf::merge for nested types without using comparators (#14250) @divyegala
• Add stream parameter to List Manipulation and Operations APIs (#14248) @SurajAralihalli
• Expose stream parameter in public strings split/partition APIs (#14247) @davidwendt
• Improve contains_column by invoking contains_table (#14238) @PointKernel
• Detect and report errors in Parquet header parsing (#14237) @etseidl
• Normalizing offsets iterator (#14234) @davidwendt
• Forward merge 23.10 into 23.12 (#14231) @galipremsagar
• Return error if BOOL8 column-type is used with integers-to-hex (#14208) @davidwendt
• Enable indexalator for device code (#14206) @davidwendt
• Marginally reduce memory footprint of joins (#14197) @wence-
• Add nvtx annotations to spilling-based data movement (#14196) @wence-
• Optimize ORC writer for decimal columns (#14190) @vuule
• Remove the use of volatile in ORC (#14175) @vuule
• Add bytes_per_second to distinct_count of stream_compaction nvbench. (#14172) @Blonck
• Add bytes_per_second to transpose benchmark (#14170) @Blonck
• cuDF: Build CUDA 12.0 ARM conda packages. (#14112) @bdice
• Add bytes_per_second to shift benchmark (#13950) @Blonck
• Extract debug_utilities.hpp/cu from column_utilities.hpp/cu (#13720) @ttnghia

🚨 Breaking Changes

• Raise error in reindex when index is not unique (#14400) @galipremsagar
• Expose stream parameter to get_json_object API (#14297) @davidwendt
• Refactor cudf_kafka to use skbuild (#14292) @jdye64
• Expose stream parameter in public strings convert APIs (#14255) @davidwendt
• Upgrade to nvCOMP 3.0.4 (#13815) @vuule

🐛 Bug Fixes

• Update actions/labeler to v4 (#14562) @raydouglass
• Fix data corruption when skipping rows (#14557) @etseidl
• Fix function name typo in cudf.pandas profiler (#14514) @galipremsagar
• Fix intermediate type checking in expression parsing (#14445) @vyasr
• Forward merge branch-23.10 into branch-23.12 (#14435) @raydouglass
• Remove needs: wheel-build-cudf. (#14427) @bdice
• Fix dask dependency in custreamz (#14420) @vyasr
• Ensure nvbench initializes nvml context when built statically (#14411) @robertmaynard
• Support java AST String literal with desired encoding (#14402) @winningsix
• Raise error in reindex when index is not unique (#14400) @galipremsagar
• Always build nvbench statically so we don't need to package it (#14399) @robertmaynard
• Fix token-count logic in nvtext::tokenize_with_vocabulary (#14393) @davidwendt
• Fix as_column(pd.Timestamp/Timedelta, length=) not respecting length (#14390) @mroeschke
• cudf.pandas: cuDF subpath checking in module __getattr__ (#14388) @shwina
• Fix and disable encoding for nanosecond statistics in ORC writer (#14367) @vuule
• Add the new manylinux builds to the build job (#14351) @vyasr
• cudf jit parser now supports .pragma instructions with quotes (#14348) @robertmaynard
• Fix overflow check in cudf::merge (#14345) @divyegala
• Add cramjam (#14344) @vyasr
• Enable dask_cudf/io pytests in CI (#14338) @galipremsagar
• Temporarily avoid the current build of pydata-sphinx-theme (#14332) @vyasr
• Fix host buffer access from device function in the Parquet reader (#14328) @vuule
• Run IO tests for Dask-cuDF (#14327) @rjzamora
• Fix logical type issues in the Parquet writer (#14322) @vuule
• Remove aws-sdk-pinning and revert to arrow 12.0.1 (#14319) @vyasr
• test is_valid before reading column data (#14318) @etseidl
• Fix gtest validity setting for TextTokenizeTest.Vocabulary (#14312) @davidwendt
• Fixes stack context for json lines format that recovers from invalid JSON lines (#14309) @elstehle
• Downgrade to Arrow 12.0.0 for aws-sdk-cpp and fix cudf_kafka builds for new CI containers (#14296) @vyasr
• fixing thread index overflow issue (#14290) @hyperbolic2346
• Fix memset error in nvtext::edit_distance_matrix (#14283) @davidwendt
• Changes JSON reader's recovery option's behaviour to ignore all characters after a valid JSON record (#14279) @elstehle
• Handle empty string correctly in Parquet statistics (#14257) @etseidl
• Fixes behaviour for incomplete lines when recover_with_nulls is enabled (#14252) @elstehle
• cudf::detail::pinned_allocator doesn't throw from deallocate (#14251) @robertmaynard
• Fix strings replace for adjacent, identical multi-byte UTF-8 character targets (#14235) @davidwendt
• Fix the precision when converting a decimal128 column to an arrow array (#14230) @jihoonson
• Fixing parquet list of struct interpretation (#13715) @hyperbolic2346

📖 Documentation

• Fix io reference in docs. (#14452) @bdice
• Update README (#14374) @shwina
• Example code for blog on new row comparators (#13795) @divyegala

🚀 New Features

• Expose streams in public unary APIs (#14342) @vyasr
• Add python tests for Parquet DELTA_BINARY_PACKED encoder (#14316) @etseidl
• Update rapids-cmake functions to non-deprecated signatures (#14265) @robertmaynard
• Expose streams in public null mask APIs (#14263) @vyasr
• Expose streams in binaryop APIs (#14187) @vyasr
• Add pylibcudf.Scalar that interoperates with Arrow scalars (#14133) @vyasr
• Add decoder for DELTA_BYTE_ARRAY to Parquet reader (#14101) @etseidl
• Add DELTA_BINARY_PACKED encoder for Parquet writer (#14100) @etseidl
• Add BytePairEncoder class to cuDF (#13891) @davidwendt
• Upgrade to nvCOMP 3.0.4 (#13815) @vuule
• Use pynvjitlink for CUDA 12+ MVC (#13650) @brandon-b-miller

🛠️ Improvements

• Build concurrency for nightly and merge triggers (#14441) @bdice
• Cleanup remaining usages of dask dependencies (#14407) @galipremsagar
• Update to Arrow 14.0.1. (#14387) @bdice
• Remove Cython libcpp wrappers (#14382) @vyasr
• Forward-merge branch-23.10 to branch-23.12 (#14372) @bdice
• Upgrade to arrow 14 (#14371) @galipremsagar
• Fix a pytest typo in test_kurt_skew_error (#14368) @galipremsagar
• Use new rapids-dask-dependency metapackage for managing dask versions (#14364) @vyasr
• Change nullable() to has_nulls() in cudf::detail::gather (#14363) @divyegala
• Split up scan_inclusive.cu to improve its compile time (#14358) @davidwendt
• Implement user_datasource_wrapper is_empty() and is_device_read_preferred(). (#14357) @tpn
• Added streams to CSV reader and writer api (#14340) @shrshi
• Upgrade wheels to use arrow 13 (#14339) @vyasr
• Rework nvtext::byte_pair_encoding API (#14337) @davidwendt
• Improve performance of nvtext::tokenize_with_vocabulary for long strings (#14336) @davidwendt
• Upgrade arrow to 13 (#14330) @galipremsagar
• Expose stream parameter in public nvtext replace APIs (#14329) @davidwendt
• Drop pyorc dependency and use pandas/pyarrow instead (#14323) @galipremsagar
• Avoid pyarrow.fs import for local storage (#14321) @rjzamora
• Unpin dask and distributed for 23.12 development (#14320) @galipremsagar
• Expose stream parameter in public nvtext tokenize APIs (#14317) @davidwendt
• Added streams to JSON reader and writer api (#14313) @shrshi
• Minor improvements in source_info (#14308) @vuule
• Forward-merge branch-23.10 to branch-23.12 (#14307) @bdice
• Add stream parameter to Set Operations (Public List APIs) (#14305) @SurajAralihalli
• Expose stream parameter to get_json_object API (#14297) @davidwendt
• Sort dictionary data alphabetically in the ORC writer (#14295) @vuule
• Expose stream parameter in public strings filter APIs (#14293) @davidwendt
• Refactor cudf_kafka to use skbuild (#14292) @jdye64
• Update shared-action-workflows references (#14289) @AyodeAwe
• Register partd encode dispatch in dask_cudf (#14287) @rjzamora
• Update versioning strategy (#14285) @vyasr
• Move and rename byte-pair-encoding source files (#14284) @davidwendt
• Expose stream parameter in public strings combine APIs (#14281) @davidwendt
• Expose stream parameter in public strings contains APIs (#14280) @davidwendt
• Add stream parameter to List Sort and Filter APIs (#14272) @SurajAralihalli
• Use branch-23.12 workflows. (#14271) @bdice
• Refactor LogicalType for Parquet (#14264) @etseidl
• Centralize chunked reading code in the parquet reader to reader_impl_chunking.cu (#14262) @nvdbaranec
• Expose stream parameter in public strings replace APIs (#14261) @davidwendt
• Expose stream parameter in public strings APIs (#14260) @davidwendt
• Cleanup of namespaces in parquet code. (#14259) @nvdbaranec
• Make parquet schema index type consistent (#14256) @hyperbolic2346
• Expose stream parameter in public strings convert APIs (#14255) @davidwendt
• Add in java bindings for DataSource (#14254) @revans2
• Reimplement cudf::merge for nested types without using comparators (#14250) @divyegala
• Add stream parameter to List Manipulation and Operations APIs (#14248) @SurajAralihalli
• Expose stream parameter in public strings split/partition APIs (#14247) @davidwendt
• Improve contains_column by invoking contains_table (#14238) @PointKernel
• Detect and report errors in Parquet header parsing (#14237) @etseidl
• Normalizing offsets iterator (#14234) @davidwendt
• Forward merge 23.10 into 23.12 (#14231) @galipremsagar
• Return error if BOOL8 column-type is used with integers-to-hex (#14208) @davidwendt
• Enable indexalator for device code (#14206) @davidwendt
• Marginally reduce memory footprint of joins (#14197) @wence-
• Add nvtx annotations to spilling-based data movement (#14196) @wence-
• Optimize ORC writer for decimal columns (#14190) @vuule
• Remove the use of volatile in ORC (#14175) @vuule
• Add bytes_per_second to distinct_count of stream_compaction nvbench. (#14172) @Blonck
• Add bytes_per_second to transpose benchmark (#14170) @Blonck
• cuDF: Build CUDA 12.0 ARM conda packages. (#14112) @bdice
• Add bytes_per_second to shift benchmark (#13950) @Blonck
• Extract debug_utilities.hpp/cu from column_utilities.hpp/cu (#13720) @ttnghia

🔗 Links

• Development Branch
• Compare with main branch

🚨 Breaking Changes

• Expunge as_frame conversions in Column algorithms (#14491) @wence-
• Remove deprecated nvtext::load_merge_pairs_file (#14460) @davidwendt
• REF: Remove **kwargs from to_pandas, raise if nullable is not implemented (#14438) @mroeschke
• Consolidate 1D pandas object handling in as_column (#14394) @mroeschke

🐛 Bug Fixes

• Drop llvm16 from cuda118-conda devcontainer image (#14526) @charlesbluca
• REF: Make DataFrame.from_pandas process by column (#14483) @mroeschke
• Improve memory footprint of isin by using contains (#14478) @wence-
• Enable pd.Timestamp objects to be picklable when cudf.pandas is active (#14474) @shwina
• Correct dtype of count aggregations on empty dataframes (#14473) @wence-
• Avoid DataFrame conversion in MultiIndex.from_pandas (#14470) @mroeschke
• JSON writer: avoid default stream use in string_scalar constructors (#14444) @vuule
• Fix default stream use in the CSV reader (#14443) @vuule
• Preserve DataFrame(columns=).columns dtype during empty-like construction (#14381) @mroeschke

📖 Documentation

• Some doxygen improvements (#14469) @vyasr
• Remove warning in dask-cudf docs (#14454) @wence-
• Update README links with redirects. (#14378) @bdice

🚀 New Features

• Make DefaultHostMemoryAllocator settable (#14523) @gerashegalov

🛠️ Improvements

• Split libarrow build dependencies. (#14506) @bdice
• Expunge as_frame conversions in Column algorithms (#14491) @wence-
• Remove unsanitized null from input strings column in rank_tests.cpp (#14475) @davidwendt
• Refactor Parquet kernel_error (#14464) @etseidl
• Remove deprecated nvtext::load_merge_pairs_file (#14460) @davidwendt
• Introduce Comprehensive Pathological Unit Tests for Issue #14409 (#14459) @aocsa
• Expose stream parameter in public nvtext APIs (#14456) @davidwendt
• Remove the use of volatile in Parquet (#14448) @vuule
• REF: Remove **kwargs from to_pandas, raise if nullable is not implemented (#14438) @mroeschke
• Match pandas join ordering obligations in pandas-compatible mode (#14428) @wence-
• Forward-merge branch-23.12 to branch-24.02 (#14426) @bdice
• Forward-merge branch-23.12 to branch-24.02 (#14422) @bdice
• REF: Remove instances of pd.core (#14421) @mroeschke
• Consolidate 1D pandas object handling in as_column (#14394) @mroeschke
• Update to fmt 10.1.1 and spdlog 1.12.0. (#14355) @bdice
• Add cuDF devcontainers (#14015) @trxcllnt

🚨 Breaking Changes

• Raise error in reindex when index is not unique (#14429) @galipremsagar
• Expose stream parameter in public nvtext ngram APIs (#14061) @davidwendt
• Raise MixedTypeError when a column of mixed-dtype is being constructed (#14050) @galipremsagar
• Raise NotImplementedError for MultiIndex.to_series (#14049) @galipremsagar
• Create table_input_metadata from a table_metadata (#13920) @etseidl
• Enable RLE boolean encoding for v2 Parquet files (#13886) @etseidl
• Change NA to NaT for datetime and timedelta types (#13868) @galipremsagar
• Fix any, all reduction behavior for axis=None and warn for other reductions (#13831) @galipremsagar
• Add minhash support for MurmurHash3_x64_128 (#13796) @davidwendt
• Remove the libcudf cudf::offset_type type (#13788) @davidwendt
• Raise error when trying to join datetime and timedelta types with other types (#13786) @galipremsagar
• Update to Cython 3.0.0 (#13777) @vyasr
• Raise error on constructing an array from mixed type inputs (#13768) @galipremsagar
• Enforce deprecations in 23.10 (#13732) @galipremsagar
• Upgrade to arrow 12 (#13728) @galipremsagar
• Remove Arrow dependency from the datasource.hpp public header (#13698) @vuule

🐛 Bug Fixes

• Raise error in reindex when index is not unique (#14429) @galipremsagar
• Fix inaccurate ceil/floor and inaccurate rescaling casts of fixed-point values. (#14242) @bdice
• Fix inaccuracy in decimal128 rounding. (#14233) @bdice
• Workaround for illegal instruction error in sm90 for warp instrinsics with mask (#14201) @karthikeyann
• Fix pytorch related pytest (#14198) @galipremsagar
• Pin to aws-sdk-cpp<1.11 (#14173) @pentschev
• Fix assert failure for range window functions (#14168) @mythrocks
• Fix Memcheck error found in JSON_TEST JsonReaderTest.ErrorStrings (#14164) @karthikeyann
• Fix calls to copy_bitmask to pass stream parameter (#14158) @davidwendt
• Fix DataFrame from Series with different CategoricalIndexes (#14157) @mroeschke
• Pin to numpy<1.25 and numba<0.58 to avoid errors and deprecation warnings-as-errors. (#14156) @bdice
• Fix kernel launch error for cudf::io::orc::gpu::rowgroup_char_counts_kernel (#14139) @davidwendt
• Don't sort columns for DataFrame init from list of Series (#14136) @mroeschke
• Fix DataFrame.values with no columns but index (#14134) @mroeschke
• Avoid circular cimports in _lib/cpp/reduce.pxd (#14125) @vyasr
• Add support for nested dict in DataFrame constructor (#14119) @galipremsagar
• Restrict iterables of DataFrame's as input to DataFrame constructor (#14118) @galipremsagar
• Allow numeric_only=True for reduction operations on numeric types (#14111) @galipremsagar
• Preserve name of the column while initializing a DataFrame (#14110) @galipremsagar
• Correct numerous 20054-D: dynamic initialization errors found on arm+12.2 (#14108) @robertmaynard
• Drop kwargs from Series.count (#14106) @galipremsagar
• Fix naming issues with Index.to_frame and MultiIndex.to_frame APIs (#14105) @galipremsagar
• Only use memory resources that haven't been freed (#14103) @robertmaynard
• Add support for __round__ in Series and DataFrame (#14099) @galipremsagar
• Validate ignore_index type in drop_duplicates (#14098) @mroeschke
• Fix renaming Series and Index (#14080) @galipremsagar
• Raise NotImplementedError in to_datetime if Z (or tz component) in string (#14074) @mroeschke
• Raise NotImplementedError for datetime strings with UTC offset (#14070) @mroeschke
• Update pyarrow-related dispatch logic in dask_cudf (#14069) @rjzamora
• Use conda mambabuild rather than mamba mambabuild (#14067) @wence-
• Raise NotImplementedError in to_datetime with dayfirst without infer_format (#14058) @mroeschke
• Fix various issues in Index.intersection (#14054) @galipremsagar
• Fix Index.difference to match with pandas (#14053) @galipremsagar
• Fix empty string column construction (#14052) @galipremsagar
• Fix IntervalIndex.union to preserve type-metadata (#14051) @galipremsagar
• Raise MixedTypeError when a column of mixed-dtype is being constructed (#14050) @galipremsagar
• Raise NotImplementedError for MultiIndex.to_series (#14049) @galipremsagar
• Ignore compile_commands.json (#14048) @harrism
• Raise TypeError for any non-parseable argument in to_datetime (#14044) @mroeschke
• Raise NotImplementedError for to_datetime with z format (#14037) @mroeschke
• Implement sort_remaining for sort_index (#14033) @wence-
• Raise NotImplementedError for Categoricals with timezones (#14032) @mroeschke
• Temporary fix Parquet metadata with empty value string being ignored from writing (#14026) @ttnghia
• Preserve types of scalar being returned when possible in quantile (#14014) @galipremsagar
• Fix return type of MultiIndex.difference (#14009) @galipremsagar
• Raise an error when timezone subtypes are encountered in pd.IntervalDtype (#14006) @galipremsagar
• Fix map column can not be non-nullable for java (#14003) @res-life
• Fix name selection in Index.difference and Index.intersection (#13986) @galipremsagar
• Restore column type metadata with dropna to fix factorize API (#13980) @galipremsagar
• Use thread_index_type to avoid out of bounds accesses in conditional joins (#13971) @vyasr
• Fix MultiIndex.to_numpy to return numpy array with tuples (#13966) @galipremsagar
• Use cudf::thread_index_type in get_json_object and tdigest kernels (#13962) @nvdbaranec
• Fix an issue with IntervalIndex.repr when null values are present (#13958) @galipremsagar
• Fix type metadata issue preservation with Column.unique (#13957) @galipremsagar
• Handle Interval scalars when passed in list-like inputs to cudf.Index (#13956) @galipremsagar
• Fix setting of categories order when dtype is passed to a CategoricalColumn (#13955) @galipremsagar
• Handle as_index in GroupBy.apply (#13951) @brandon-b-miller
• Raise error for string types in nsmallest and nlargest (#13946) @galipremsagar
• Fix index of Groupby.apply results when it is performed on empty objects (#13944) @galipremsagar
• Fix integer overflow in shim device_sum functions (#13943) @brandon-b-miller
• Fix type mismatch in groupby reduction for empty objects (#13942) @galipremsagar
• Fixed processed bytes calculation in APPLY_BOOLEAN_MASK benchmark. (#13937) @Blonck
• Fix construction of Grouping objects (#13932) @galipremsagar
• Fix an issue with loc when column names is MultiIndex (#13929) @galipremsagar
• Fix handling of typecasting in searchsorted (#13925) @galipremsagar
• Preserve index name in reindex (#13917) @galipremsagar
• Use cudf::thread_index_type in cuIO to prevent overflow in row indexing (#13910) @vuule
• Fix for encodings listed in the Parquet column chunk metadata (#13907) @etseidl
• Use cudf::thread_index_type in concatenate.cu. (#13906) @bdice
• Use cudf::thread_index_type in replace.cu. (#13905) @bdice
• Add noSanitizer tag to Java reduction tests failing with sanitizer in CUDA 12 (#13904) @jlowe
• Remove the internal use of the cudf's default stream in cuIO (#13903) @vuule
• Use cuda-nvtx-dev CUDA 12 package. (#13901) @bdice
• Use thread_index_type to avoid index overflow in grid-stride loops (#13895) @PointKernel
• Fix memory access error in cudf::shift for sliced strings (#13894) @davidwendt
• Raise error when trying to construct a DataFrame with mixed types (#13889) @galipremsagar
• Return nan when one variable to be correlated has zero variance in JIT GroupBy Apply (#13884) @brandon-b-miller
• Correctly detect the BOM mark in read_csv with compressed input (#13881) @vuule
• Check for the presence of all values in MultiIndex.isin (#13879) @galipremsagar
• Fix nvtext::generate_character_ngrams performance regression for longer strings (#13874) @davidwendt
• Fix return type of MultiIndex.levels (#13870) @galipremsagar
• Fix List's missing children metadata in JSON writer (#13869) @karthikeyann
• Disable construction of Index when freq is set in pandas-compatibility mode (#13857) @galipremsagar
• Fix an issue with fetching NA from a TimedeltaColumn (#13853) @galipremsagar
• Simplify implementation of interval_range() and fix behaviour for floating freq (#13844) @shwina
• Fix binary operations between Series and Index (#13842) @galipremsagar
• Update make_lists_column_from_scalar to use make_offsets_child_column utility (#13841) @davidwendt
• Fix read out of bounds in string concatenate (#13838) @pentschev
• Raise error for more cases when timezone-aware data is passed to as_column (#13835) @galipremsagar
• Fix any, all reduction behavior for axis=None and warn for other reductions (#13831) @galipremsagar
• Raise error when trying to construct time-zone aware timestamps (#13830) @galipremsagar
• Fix cuFile I/O factories (#13829) @vuule
• DataFrame with namedtuples uses ._field as column names (#13824) @mroeschke
• Branch 23.10 merge 23.08 (#13822) @vyasr
• Return a Series from JIT GroupBy apply, rather than a DataFrame (#13820) @brandon-b-miller
• No need to dlsym EnsureS3Finalized we can call it directly (#13819) @robertmaynard
• Raise error when mixed types are being constructed (#13816) @galipremsagar
• Fix unbounded sequence issue in DataFrame constructor (#13811) @galipremsagar
• Fix Byte-Pair-Encoding usage of cuco static-map for storing merge-pairs (#13807) @davidwendt
• Fix for Parquet writer when requested pages per row is smaller than fragment size (#13806) @etseidl
• Remove hangs from trying to construct un-bounded sequences (#13799) @galipremsagar
• Bug/update libcudf to handle arrow12 changes (#13794) @robertmaynard
• Update get_arrow to arrows 12 CMake target name of arrow::xsimd (#13790) @robertmaynard
• Raise error when trying to join datetime and timedelta types with other types (#13786) @galipremsagar
• Fix negative unary operation for boolean type (#13780) @galipremsagar
• Fix contains(in) method for Series (#13779) @galipremsagar
• Fix binary operation column ordering and missing column issues (#13778) @galipremsagar
• Cast only time of day to nanos to avoid an overflow in Parquet INT96 write (#13776) @gerashegalov
• Preserve names of column object in various APIs (#13772) @galipremsagar
• Raise error on constructing an array from mixed type inputs (#13768) @galipremsagar
• Fix construction of DataFrames from dict when columns are provided (#13766) @wence-
• Provide our own Cython declaration for make_unique (#13746) @wence-

📖 Documentation

• Fix benchmark image. (#14376) @bdice
• Fix typo in docstring: metadata. (#14025) @bdice
• Fix typo in parquet/page_decode.cuh (#13849) @XinyuZeng
• Simplify Python doc configuration (#13826) @vyasr
• Update documentation to reflect recent changes in JSON reader and writer (#13791) @vuule
• Fix all warnings in Python docs (#13789) @vyasr

🚀 New Features

• [Java] Add JNI bindings for integers_to_hex (#14205) @razajafri
• Propagate errors from Parquet reader kernels back to host (#14167) @vuule
• JNI for HISTOGRAM and MERGE_HISTOGRAM aggregations (#14154) @ttnghia
• Expose streams in all public sorting APIs (#14146) @vyasr
• Enable direct ingestion and production of Arrow scalars (#14121) @vyasr
• Implement GroupBy.value_counts to match pandas API (#14114) @stmio
• Refactor parquet thrift reader (#14097) @etseidl
• Refactor hash_reduce_by_row (#14095) @ttnghia
• Support negative preceding/following for ROW window functions (#14093) @mythrocks
• Support for progressive parquet chunked reading. (#14079) @nvdbaranec
• Implement HISTOGRAM and MERGE_HISTOGRAM aggregations (#14045) @ttnghia
• Expose streams in public search APIs (#14034) @vyasr
• Expose streams in public replace APIs (#14010) @vyasr
• Add stream parameter to public cudf::strings::split APIs (#13997) @davidwendt
• Expose streams in public filling APIs (#13990) @vyasr
• Expose streams in public concatenate APIs (#13987) @vyasr
• Use HostMemoryAllocator in jni::allocate_host_buffer (#13975) @gerashegalov
• Enable fractional null probability for hashing benchmark (#13967) @Blonck
• Switch pylibcudf-enabled types to use enum class in Cython (#13931) @vyasr
• Add nvtext::tokenize_with_vocabulary API (#13930) @davidwendt
• Rewrite DataFrame.stack to support multi level column names (#13927) @isVoid
• Add HostMemoryAllocator interface (#13924) @gerashegalov
• Global stream pool (#13922) @etseidl
• Create table_input_metadata from a table_metadata (#13920) @etseidl
• Translate column size overflow exception to JNI (#13911) @mythrocks
• Enable RLE boolean encoding for v2 Parquet files (#13886) @etseidl
• Exclude some tests from running with the compute sanitizer (#13872) @firestarman
• Expand statistics support in ORC writer (#13848) @vuule
• Register the memory mapped buffer in datasource to improve H2D throughput (#13814) @vuule
• Add cudf::strings::find function with target per row (#13808) @davidwendt
• Add minhash support for MurmurHash3_x64_128 (#13796) @davidwendt
• Remove unnecessary pointer copying in JIT GroupBy Apply (#13792) @brandon-b-miller
• Add 'poll' function to custreamz kafka consumer (#13782) @jdye64
• Support corr in GroupBy.apply through the jit engine (#13767) @shwina
• Optionally write version 2 page headers in Parquet writer (#13751) @etseidl
• Support more numeric types in Groupby.apply with engine='jit' (#13729) @brandon-b-miller
• [FEA] Add DELTA_BINARY_PACKED decoding support to Parquet reader (#13637) @etseidl
• Read FIXED_LEN_BYTE_ARRAY as binary in parquet reader (#13437) @PointKernel

🛠️ Improvements

• Update shared-action-workflows references (backport from 23.12 to 23.10) (#14300) @AyodeAwe
• Pin dask and distributed for 23.10 release (#14225) @galipremsagar
• update rmm tag path (#14195) @AyodeAwe
• Disable Recently Updated Check (#14193) @ajschmidt8
• Move cpp/src/hash/hash_allocator.cuh to include/cudf/hashing/detail (#14163) @davidwendt
• Add Parquet reader benchmarks for row selection (#14147) @vuule
• Update image names (#14145) @AyodeAwe
• Support callables in DataFrame.assign (#14142) @wence-
• Reduce memory usage of as_categorical_column (#14138) @wence-
• Replace Python scalar conversions with libcudf (#14124) @vyasr
• Update to clang 16.0.6. (#14120) @bdice
• Fix type of empty Index and raise warning in Series constructor (#14116) @galipremsagar
• Add stream parameter to external dict APIs (#14115) @SurajAralihalli
• Add fallback matrix for nvcomp. (#14082) @bdice
• [Java] Add recoverWithNull to JSONOptions and pass to Table.readJSON (#14078) @andygrove
• Remove header tests (#14072) @ajschmidt8
• Refactor contains_table with cuco::static_set (#14064) @PointKernel
• Remove debug print in a Parquet test (#14063) @vuule
• Expose stream parameter in public nvtext ngram APIs (#14061) @davidwendt
• Expose stream parameter in public strings find APIs (#14060) @davidwendt
• Update doxygen to 1.9.1 (#14059) @vyasr
• Remove the mr from the base fixture (#14057) @vyasr
• Expose streams in public strings case APIs (#14056) @davidwendt
• Refactor libcudf indexalator to typed normalator (#14043) @davidwendt
• Use cudf::make_empty_column instead of column_view constructor (#14030) @davidwendt
• Remove quadratic runtime due to accessing Frame._dtypes in loop (#14028) @wence-
• Explicitly depend on zlib in conda recipes (#14018) @wence-
• Use grid_stride for stride computations. (#13996) @bdice
• Fix an issue where casting null-array to object dtype will result in a failure (#13994) @galipremsagar
• Add tab as literal to cudf::test::to_string output (#13993) @davidwendt
• Enable codes dtype parity in pandas-compatibility mode for factorize API (#13982) @galipremsagar
• Fix CategoricalIndex ordering in Groupby.agg when pandas-compatibility mode is enabled (#13978) @galipremsagar
• Produce a fatal error if cudf is unable to find pyarrow include directory (#13976) @cwharris
• Use thread_index_type in partitioning.cu (#13973) @divyegala
• Use cudf::thread_index_type in merge.cu (#13972) @divyegala
• Use copy-pr-bot (#13970) @ajschmidt8
• Use cudf::thread_index_type in strings custom kernels (#13968) @davidwendt
• Add bytes_per_second to hash_partition benchmark (#13965) @Blonck
• Added pinned pool reservation API for java (#13964) @revans2
• Simplify wheel build scripts and allow alphas of RAPIDS dependencies (#13963) @vyasr
• Add bytes_per_second to copy_if_else benchmark (#13960) @Blonck
• Add pandas compatible output to Series.unique (#13959) @galipremsagar
• Add bytes_per_second to compiled binaryop benchmark (#13938) @Blonck
• Unpin dask and distributed for 23.10 development (#13935) @galipremsagar
• Make HostColumnVector.getRefCount public (#13934) @abellina
• Use cuco::static_set in JSON tree algorithm (#13928) @karthikeyann
• Add java API to get size of host memory needed to copy column view (#13919) @revans2
• Use cudf::size_type instead of int32 where appropriate in nvtext functions (#13915) @davidwendt
• Enable hugepage for arrow host allocations (#13914) @madsbk
• Improve performance of nvtext::edit_distance (#13912) @davidwendt
• Ensure cudf internals use pylibcudf in pure Python mode (#13909) @vyasr
• Use empty() instead of size() where possible (#13908) @vuule
• [JNI] Adds HostColumnVector.EventHandler for spillability checks (#13898) @abellina
• Return Timestamp & Timedelta for fetching scalars in DatetimeIndex & TimedeltaIndex (#13896) @galipremsagar
• Allow explicit shuffle="p2p" within dask-cudf API (#13893) @rjzamora
• Disable creation of DatetimeIndex when freq is passed to cudf.date_range (#13890) @galipremsagar
• Bring parity with pandas for datetime & timedelta comparison operations (#13877) @galipremsagar
• Change NA to NaT for datetime and timedelta types (#13868) @galipremsagar
• Raise error when astype(object) is called in pandas compatibility mode (#13862) @galipremsagar
• Fixes a performance regression in FST (#13850) @elstehle
• Set native handles to null on close in Java wrapper classes (#13818) @jlowe
• Avoid use of CUDF_EXPECTS in libcudf unit tests outside of helper functions with return values (#13812) @vuule
• Update lists::contains to experimental row comparator (#13810) @divyegala
• Reduce lists::contains dispatches for scalars (#13805) @divyegala
• Long string optimization for string column parsing in JSON reader (#13803) @karthikeyann
• Raise NotImplementedError for pd.SparseDtype (#13798) @mroeschke
• Remove the libcudf cudf::offset_type type (#13788) @davidwendt
• Move Spark-indpendent Table debug to cudf Java (#13783) @gerashegalov
• Update to Cython 3.0.0 (#13777) @vyasr
• Refactor Parquet reader handling of V2 page header info (#13775) @etseidl
• Branch 23.10 merge 23.08 (#13773) @vyasr
• Restructure JSON code to correctly reflect legacy/experimental status (#13757) @vuule
• Branch 23.10 merge 23.08 (#13753) @vyasr
• Enforce deprecations in 23.10 (#13732) @galipremsagar
• Upgrade to arrow 12 (#13728) @galipremsagar
• Refactors JSON reader's pushdown automaton (#13716) @elstehle
• Remove Arrow dependency from the datasource.hpp public header (#13698) @vuule

🚨 Breaking Changes

• Pin dask and distributed for release (#13070) @galipremsagar
• Declare a different name for nan_equality.UNEQUAL to prevent Cython warnings. (#12947) @bdice
• Update minimum pandas and numpy pinnings (#12887) @galipremsagar
• Deprecate names & dtype in Index.copy (#12825) @galipremsagar
• Deprecate Index.is_* methods (#12820) @galipremsagar
• Deprecate datetime_is_numeric from describe (#12818) @galipremsagar
• Deprecate na_sentinel in factorize (#12817) @galipremsagar
• Make string methods return a Series with a useful Index (#12814) @shwina
• Produce useful guidance on overflow error in to_csv (#12705) @wence-
• Move strings_udf code into cuDF (#12669) @brandon-b-miller
• Remove cudf::strings::repeat_strings_output_sizes and optional parameter from cudf::strings::repeat_strings (#12609) @davidwendt
• Replace message parsing with throwing more specific exceptions (#12426) @vyasr

🐛 Bug Fixes

• Pin curand version (#13127) @vyasr
• Fix memcheck script to execute only _TEST files found in bin/gtests/libcudf (#13006) @davidwendt
• Fix DataFrame constructor to broadcast scalar inputs properly (#12997) @galipremsagar
• Drop force_nullable_schema from chunked parquet writer (#12996) @galipremsagar
• Fix gtest column utility comparator diff reporting (#12995) @davidwendt
• Handle index names while performing groupby (#12992) @galipremsagar
• Fix __setitem__ on string columns when the scalar value ends in a null byte (#12991) @wence-
• Fix sort_values when column is all empty strings (#12988) @eriknw
• Remove unused variable and fix memory issue in ORC writer (#12984) @ttnghia
• Pre-emptive fix for upstream dask.dataframe.read_parquet changes (#12983) @rjzamora
• Remove MANIFEST.in use auto-generated one for sdists and package_data for wheels (#12960) @vyasr
• Update to use rapids-export(COMPONENTS) feature. (#12959) @robertmaynard
• cudftestutil supports static gtest dependencies (#12957) @robertmaynard
• Include gtest in build environment. (#12956) @vyasr
• Correctly handle scalar indices in Index.__getitem__ (#12955) @wence-
• Avoid building cython twice (#12945) @galipremsagar
• Fix set index error for Series rolling window operations (#12942) @galipremsagar
• Fix calculation of null counts for Parquet statistics (#12938) @etseidl
• Preserve integer dtype of hive-partitioned column containing nulls (#12930) @rjzamora
• Use get_current_device_resource for intermediate allocations in COLLECT_LIST window code (#12927) @karthikeyann
• Mark dlpack tensor deleter as noexcept to match PyCapsule_Destructor signature. (#12921) @bdice
• Fix conda recipe post-link.sh typo (#12916) @pentschev
• min_rows and num_rows are swapped in ComputePageSizes declaration in Parquet reader (#12886) @etseidl
• Expect cupy to now support bool arrays for dlpack. (#12883) @vyasr
• Use python -m pytest for nightly wheel tests (#12871) @bdice
• Parquet writer column_size() should return a size_t (#12870) @etseidl
• Fix cudf::hash_partition kernel launch error with decimal128 types (#12863) @davidwendt
• Fix an issue with parquet chunked reader undercounting string lengths. (#12859) @nvdbaranec
• Remove tokenizers pre-install pinning. (#12854) @vyasr
• Fix parquet RangeIndex bug (#12838) @rjzamora
• Remove KAFKA_HOST_TEST from compute-sanitizer check (#12831) @davidwendt
• Make string methods return a Series with a useful Index (#12814) @shwina
• Tell cudf_kafka to use header-only fmt (#12796) @vyasr
• Add GroupBy.dtypes (#12783) @galipremsagar
• Fix a leak in a test and clarify some test names (#12781) @revans2
• Fix bug in all-null list due to join_list_elements special handling (#12767) @karthikeyann
• Add try/except for expected null-schema error in read_parquet (#12756) @rjzamora
• Throw an exception if an unsupported page encoding is detected in Parquet reader (#12754) @etseidl
• Fix a bug with num_keys in _scatter_by_slice (#12749) @thomcom
• Bump pinned rapids wheel deps to 23.4 (#12735) @sevagh
• Rework logic in cudf::strings::split_record to improve performance (#12729) @davidwendt
• Add always_nullable flag to Dremel encoding (#12727) @divyegala
• Fix memcheck read error in compound segmented reduce (#12722) @davidwendt
• Fix faulty conditional logic in JIT GroupBy.apply (#12706) @brandon-b-miller
• Produce useful guidance on overflow error in to_csv (#12705) @wence-
• Handle parquet list data corner case (#12698) @nvdbaranec
• Fix missing trailing comma in json writer (#12688) @karthikeyann
• Remove child fom newCudaAsyncMemoryResource (#12681) @abellina
• Handle bool types in round API (#12670) @galipremsagar
• Ensure all of device bitmask is initialized in from_arrow (#12668) @wence-
• Fix from_arrow to load a sliced arrow table (#12665) @galipremsagar
• Fix dask-cudf read_parquet bug for multi-file aggregation (#12663) @rjzamora
• Fix AllocateLikeTest gtests reading uninitialized null-mask (#12643) @davidwendt
• Fix find_common_dtype and values to handle complex dtypes (#12537) @galipremsagar
• Fix fetching of MultiIndex values when a label is passed (#12521) @galipremsagar
• Fix Series comparison vs scalars (#12519) @brandon-b-miller
• Allow casting from UDFString back to StringView to call methods in strings_udf (#12363) @brandon-b-miller

📖 Documentation

• Fix GroupBy.apply doc examples rendering (#12994) @brandon-b-miller
• add sphinx building and s3 uploading for dask-cudf docs (#12982) @quasiben
• Add developer documentation forbidding default parameters in detail APIs (#12978) @vyasr
• Add README symlink for dask-cudf. (#12946) @bdice
• Remove return type from @return doxygen tags (#12908) @davidwendt
• Fix docs build to be pydata-sphinx-theme=0.13.0 compatible (#12874) @galipremsagar
• Add skeleton API and prose documentation for dask-cudf (#12725) @wence-
• Enable doctests for GroupBy methods (#12658) @brandon-b-miller
• Add comment about CUB patch for SegmentedSortInt.Bool gtest (#12611) @davidwendt

🚀 New Features

• Add JNI method for strings::replace multi variety (#12979) @NVnavkumar
• Add nunique aggregation support for cudf::segmented_reduce (#12972) @davidwendt
• Refactor orc chunked writer (#12949) @ttnghia
• Make Parquet writer nullable option application to single table writes (#12933) @vuule
• Refactor io::orc::ProtobufWriter (#12877) @ttnghia
• Make timezone table independent from ORC (#12805) @vuule
• Cache JIT GroupBy.apply functions (#12802) @brandon-b-miller
• Implement initial support for avro logical types (#6482) (#12788) @tpn
• Update tests/column_utilities to use experimental::equality row comparator (#12777) @divyegala
• Update distinct/unique_count to experimental::row hasher/comparator (#12776) @divyegala
• Update hash_partition to use experimental::row::row_hasher (#12761) @divyegala
• Update is_sorted to use experimental::row::lexicographic (#12752) @divyegala
• Update default data source in cuio reader benchmarks (#12740) @PointKernel
• Reenable stream identification library in CI (#12714) @vyasr
• Add regex_program strings splitting java APIs and tests (#12713) @cindyyuanjiang
• Add regex_program strings replacing java APIs and tests (#12701) @cindyyuanjiang
• Add regex_program strings extract java APIs and tests (#12699) @cindyyuanjiang
• Variable fragment sizes for Parquet writer (#12685) @etseidl
• Add segmented reduction support for fixed-point types (#12680) @davidwendt
• Move strings_udf code into cuDF (#12669) @brandon-b-miller
• Add regex_program searching APIs and related java classes (#12666) @cindyyuanjiang
• Add logging to libcudf (#12637) @vuule
• Add compound aggregations to cudf::segmented_reduce (#12573) @davidwendt
• Convert rank to use to experimental row comparators (#12481) @divyegala
• Use rapids-cmake parallel testing feature (#12451) @robertmaynard
• Enable detection of undesired stream usage (#12089) @vyasr

🛠️ Improvements

• Pin dask and distributed for release (#13070) @galipremsagar
• Pin cupy in wheel tests to supported versions (#13041) @vyasr
• Pin numba version (#13001) @vyasr
• Rework gtests SequenceTest to remove using namepace cudf (#12985) @davidwendt
• Stop setting package version attribute in wheels (#12977) @vyasr
• Move detail reduction functions to cudf::reduction::detail namespace (#12971) @davidwendt
• Remove default detail mrs: part7 (#12970) @vyasr
• Remove default detail mrs: part6 (#12969) @vyasr
• Remove default detail mrs: part5 (#12968) @vyasr
• Remove default detail mrs: part4 (#12967) @vyasr
• Remove default detail mrs: part3 (#12966) @vyasr
• Remove default detail mrs: part2 (#12965) @vyasr
• Remove default detail mrs: part1 (#12964) @vyasr
• Add force_nullable_schema parameter to Parquet writer. (#12952) @galipremsagar
• Declare a different name for nan_equality.UNEQUAL to prevent Cython warnings. (#12947) @bdice
• Remove remaining default stream parameters (#12943) @vyasr
• Fix cudf::segmented_reduce gtest for ANY aggregation (#12940) @davidwendt
• Implement groupby.head and groupby.tail (#12939) @wence-
• Fix libcudf gtests to pass null-count=0 for empty validity masks (#12923) @davidwendt
• Migrate parquet encoding to use experimental row operators (#12918) @PointKernel
• Fix benchmarks coded in namespace cudf and using namespace cudf (#12915) @karthikeyann
• Fix io/text gtests coded in namespace cudf::test (#12914) @karthikeyann
• Pass SCCACHE_S3_USE_SSL to conda builds (#12910) @ajschmidt8
• Fix FST, JSON gtests & benchmarks coded in namespace cudf::test (#12907) @karthikeyann
• Generate pyproject dependencies using dfg (#12906) @vyasr
• Update libcudf counting functions to specify cudf::size_type (#12904) @davidwendt
• Fix moto env vars & pass AWS_SESSION_TOKEN to conda builds (#12902) @ajschmidt8
• Rewrite CSV writer benchmark with nvbench (#12901) @PointKernel
• Rework some code logic to reduce iterator and comparator inlining to improve compile time (#12900) @davidwendt
• Deprecate line_terminator in favor of lineterminator in to_csv (#12896) @wence-
• Add stream and mr parameters for structs::detail::flatten_nested_columns (#12892) @ttnghia
• Deprecate libcudf regex APIs accepting pattern strings directly (#12891) @davidwendt
• Remove default parameters from detail headers in include (#12888) @vyasr
• Update minimum pandas and numpy pinnings (#12887) @galipremsagar
• Implement groupby.sample (#12882) @wence-
• Update JNI build ENV default to gcc 11 (#12881) @pxLi
• Change return type of cudf::structs::detail::flatten_nested_columns to smart pointer (#12878) @ttnghia
• Fix passing seed parameter to MurmurHash3_32 in cudf::hash() function (#12875) @davidwendt
• Remove manual artifact upload step in CI (#12869) @ajschmidt8
• Update to GCC 11 (#12868) @bdice
• Fix null hive-partition behavior in dask-cudf parquet (#12866) @rjzamora
• Update to protobuf>=4.21.6,<4.22. (#12864) @bdice
• Update RMM allocators (#12861) @pentschev
• Improve performance for replace-multi for long strings (#12858) @davidwendt
• Drop Python 3.7 handling for pickle protocol 4 (#12857) @jakirkham
• Migrate as much as possible to pyproject.toml (#12850) @vyasr
• Enable nbqa pre-commit hooks for isort and black. (#12848) @bdice
• Setting a threshold for KvikIO IO (#12841) @madsbk
• Update datasets download URL (#12840) @jjacobelli
• Make docs builds less verbose (#12836) @AyodeAwe
• Consolidate linter configs into pyproject.toml (#12834) @vyasr
• Deprecate names & dtype in Index.copy (#12825) @galipremsagar
• Deprecate inplace parameters in categorical methods (#12824) @galipremsagar
• Add optional text file support to ninja-log utility (#12823) @davidwendt
• Deprecate Index.is_* methods (#12820) @galipremsagar
• Add dfg as a pre-commit hook (#12819) @vyasr
• Deprecate datetime_is_numeric from describe (#12818) @galipremsagar
• Deprecate na_sentinel in factorize (#12817) @galipremsagar
• Shuffling read into a sub function in parquet read (#12809) @hyperbolic2346
• Fixing parquet coalescing of reads (#12808) @hyperbolic2346
• CI: Remove specification of manual stage for check_style.sh script. (#12803) @csadorf
• Add compute-sanitizer github workflow action to nightly tests (#12800) @davidwendt
• Enable groupby std and variance aggregation types in libcudf Debug build (#12799) @davidwendt
• Expose seed argument to hash_values (#12795) @ayushdg
• Fix groupby gtests coded in namespace cudf::test (#12784) @davidwendt
• Improve performance for cudf::strings::count_characters for long strings (#12779) @davidwendt
• Deallocate encoded data in ORC writer immediately after compression (#12770) @vuule
• Stop force pulling fmt in nvbench. (#12768) @vyasr
• Remove now redundant cuda initialization (#12758) @vyasr
• Adds JSON reader, writer io benchmark (#12753) @karthikeyann
• Use test paths relative to package directory. (#12751) @bdice
• Add build metrics report as artifact to cpp-build workflow (#12750) @davidwendt
• Add JNI methods for detecting and purging non-empty nulls from LIST and STRUCT (#12742) @razajafri
• Stop using versioneer to manage versions (#12741) @vyasr
• Reduce error handling verbosity in CI tests scripts (#12738) @AjayThorve
• Reduce the number of test cases in multibyte_split benchmark (#12737) @PointKernel
• Update shared workflow branches (#12733) @ajschmidt8
• JNI switches to nested JSON reader (#12732) @res-life
• Changing cudf::io::source_info to use cudf::host_span<std::byte> in a non-breaking form (#12730) @hyperbolic2346
• Add nvbench environment class for initializing RMM in benchmarks (#12728) @davidwendt
• Split C++ and Python build dependencies into separate lists. (#12724) @bdice
• Add build dependencies to Java tests. (#12723) @bdice
• Allow setting the seed argument for hash partition (#12715) @firestarman
• Remove gpuCI scripts. (#12712) @bdice
• Unpin dask and distributed for development (#12710) @galipremsagar
• partition_by_hash(): use _split() (#12704) @madsbk
• Remove DataFrame.quantiles from docs. (#12684) @bdice
• Fast path for experimental::row::equality (#12676) @divyegala
• Move date to build string in conda recipe (#12661) @ajschmidt8
• Refactor reduction logic for fixed-point types (#12652) @davidwendt
• Pay off some JNI RMM API tech debt (#12632) @revans2
• Merge copy-on-write feature branch into branch-23.04 (#12619) @galipremsagar
• Remove cudf::strings::repeat_strings_output_sizes and optional parameter from cudf::strings::repeat_strings (#12609) @davidwendt
• Pin cuda-nvrtc. (#12606) @bdice
• Remove cudf::test::print calls from libcudf gtests (#12604) @davidwendt
• Init JNI version 23.04.0-SNAPSHOT (#12599) @pxLi
• Add performance benchmarks to user facing docs (#12595) @galipremsagar
• Add docs build job (#12592) @AyodeAwe
• Replace message parsing with throwing more specific exceptions (#12426) @vyasr
• Support conversion to/from cudf in dask.dataframe.core.to_backend (#12380) @rjzamora

🔗 Links

• Development Branch
• Compare with main branch

🚨 Breaking Changes

• Expose stream parameter in public nvtext ngram APIs (#14061) @davidwendt
• Raise MixedTypeError when a column of mixed-dtype is being constructed (#14050) @galipremsagar
• Raise NotImplementedError for MultiIndex.to_series (#14049) @galipremsagar
• Create table_input_metadata from a table_metadata (#13920) @etseidl
• Enable RLE boolean encoding for v2 Parquet files (#13886) @etseidl
• Change NA to NaT for datetime and timedelta types (#13868) @galipremsagar
• Fix any, all reduction behavior for axis=None and warn for other reductions (#13831) @galipremsagar
• Add minhash support for MurmurHash3_x64_128 (#13796) @davidwendt
• Remove the libcudf cudf::offset_type type (#13788) @davidwendt
• Raise error when trying to join datetime and timedelta types with other types (#13786) @galipremsagar
• Update to Cython 3.0.0 (#13777) @vyasr
• Raise error on constructing an array from mixed type inputs (#13768) @galipremsagar
• Enforce deprecations in 23.10 (#13732) @galipremsagar
• Upgrade to arrow 12 (#13728) @galipremsagar
• Remove Arrow dependency from the datasource.hpp public header (#13698) @vuule

🐛 Bug Fixes

• Fix inaccurate ceil/floor and inaccurate rescaling casts of fixed-point values. (#14242) @bdice
• Fix inaccuracy in decimal128 rounding. (#14233) @bdice
• Workaround for illegal instruction error in sm90 for warp instrinsics with mask (#14201) @karthikeyann
• Fix pytorch related pytest (#14198) @galipremsagar
• Pin to aws-sdk-cpp<1.11 (#14173) @pentschev
• Fix assert failure for range window functions (#14168) @mythrocks
• Fix Memcheck error found in JSON_TEST JsonReaderTest.ErrorStrings (#14164) @karthikeyann
• Fix calls to copy_bitmask to pass stream parameter (#14158) @davidwendt
• Fix DataFrame from Series with different CategoricalIndexes (#14157) @mroeschke
• Pin to numpy<1.25 and numba<0.58 to avoid errors and deprecation warnings-as-errors. (#14156) @bdice
• Fix kernel launch error for cudf::io::orc::gpu::rowgroup_char_counts_kernel (#14139) @davidwendt
• Don't sort columns for DataFrame init from list of Series (#14136) @mroeschke
• Fix DataFrame.values with no columns but index (#14134) @mroeschke
• Avoid circular cimports in _lib/cpp/reduce.pxd (#14125) @vyasr
• Add support for nested dict in DataFrame constructor (#14119) @galipremsagar
• Restrict iterables of DataFrame's as input to DataFrame constructor (#14118) @galipremsagar
• Allow numeric_only=True for reduction operations on numeric types (#14111) @galipremsagar
• Preserve name of the column while initializing a DataFrame (#14110) @galipremsagar
• Correct numerous 20054-D: dynamic initialization errors found on arm+12.2 (#14108) @robertmaynard
• Drop kwargs from Series.count (#14106) @galipremsagar
• Fix naming issues with Index.to_frame and MultiIndex.to_frame APIs (#14105) @galipremsagar
• Only use memory resources that haven't been freed (#14103) @robertmaynard
• Add support for __round__ in Series and DataFrame (#14099) @galipremsagar
• Validate ignore_index type in drop_duplicates (#14098) @mroeschke
• Fix renaming Series and Index (#14080) @galipremsagar
• Raise NotImplementedError in to_datetime if Z (or tz component) in string (#14074) @mroeschke
• Raise NotImplementedError for datetime strings with UTC offset (#14070) @mroeschke
• Update pyarrow-related dispatch logic in dask_cudf (#14069) @rjzamora
• Use conda mambabuild rather than mamba mambabuild (#14067) @wence-
• Raise NotImplementedError in to_datetime with dayfirst without infer_format (#14058) @mroeschke
• Fix various issues in Index.intersection (#14054) @galipremsagar
• Fix Index.difference to match with pandas (#14053) @galipremsagar
• Fix empty string column construction (#14052) @galipremsagar
• Fix IntervalIndex.union to preserve type-metadata (#14051) @galipremsagar
• Raise MixedTypeError when a column of mixed-dtype is being constructed (#14050) @galipremsagar
• Raise NotImplementedError for MultiIndex.to_series (#14049) @galipremsagar
• Ignore compile_commands.json (#14048) @harrism
• Raise TypeError for any non-parseable argument in to_datetime (#14044) @mroeschke
• Raise NotImplementedError for to_datetime with z format (#14037) @mroeschke
• Implement sort_remaining for sort_index (#14033) @wence-
• Raise NotImplementedError for Categoricals with timezones (#14032) @mroeschke
• Temporary fix Parquet metadata with empty value string being ignored from writing (#14026) @ttnghia
• Preserve types of scalar being returned when possible in quantile (#14014) @galipremsagar
• Fix return type of MultiIndex.difference (#14009) @galipremsagar
• Raise an error when timezone subtypes are encountered in pd.IntervalDtype (#14006) @galipremsagar
• Fix map column can not be non-nullable for java (#14003) @res-life
• Fix name selection in Index.difference and Index.intersection (#13986) @galipremsagar
• Restore column type metadata with dropna to fix factorize API (#13980) @galipremsagar
• Use thread_index_type to avoid out of bounds accesses in conditional joins (#13971) @vyasr
• Fix MultiIndex.to_numpy to return numpy array with tuples (#13966) @galipremsagar
• Use cudf::thread_index_type in get_json_object and tdigest kernels (#13962) @nvdbaranec
• Fix an issue with IntervalIndex.repr when null values are present (#13958) @galipremsagar
• Fix type metadata issue preservation with Column.unique (#13957) @galipremsagar
• Handle Interval scalars when passed in list-like inputs to cudf.Index (#13956) @galipremsagar
• Fix setting of categories order when dtype is passed to a CategoricalColumn (#13955) @galipremsagar
• Handle as_index in GroupBy.apply (#13951) @brandon-b-miller
• Raise error for string types in nsmallest and nlargest (#13946) @galipremsagar
• Fix index of Groupby.apply results when it is performed on empty objects (#13944) @galipremsagar
• Fix integer overflow in shim device_sum functions (#13943) @brandon-b-miller
• Fix type mismatch in groupby reduction for empty objects (#13942) @galipremsagar
• Fixed processed bytes calculation in APPLY_BOOLEAN_MASK benchmark. (#13937) @Blonck
• Fix construction of Grouping objects (#13932) @galipremsagar
• Fix an issue with loc when column names is MultiIndex (#13929) @galipremsagar
• Fix handling of typecasting in searchsorted (#13925) @galipremsagar
• Preserve index name in reindex (#13917) @galipremsagar
• Use cudf::thread_index_type in cuIO to prevent overflow in row indexing (#13910) @vuule
• Fix for encodings listed in the Parquet column chunk metadata (#13907) @etseidl
• Use cudf::thread_index_type in concatenate.cu. (#13906) @bdice
• Use cudf::thread_index_type in replace.cu. (#13905) @bdice
• Add noSanitizer tag to Java reduction tests failing with sanitizer in CUDA 12 (#13904) @jlowe
• Remove the internal use of the cudf's default stream in cuIO (#13903) @vuule
• Use cuda-nvtx-dev CUDA 12 package. (#13901) @bdice
• Use thread_index_type to avoid index overflow in grid-stride loops (#13895) @PointKernel
• Fix memory access error in cudf::shift for sliced strings (#13894) @davidwendt
• Raise error when trying to construct a DataFrame with mixed types (#13889) @galipremsagar
• Return nan when one variable to be correlated has zero variance in JIT GroupBy Apply (#13884) @brandon-b-miller
• Correctly detect the BOM mark in read_csv with compressed input (#13881) @vuule
• Check for the presence of all values in MultiIndex.isin (#13879) @galipremsagar
• Fix nvtext::generate_character_ngrams performance regression for longer strings (#13874) @davidwendt
• Fix return type of MultiIndex.levels (#13870) @galipremsagar
• Fix List's missing children metadata in JSON writer (#13869) @karthikeyann
• Disable construction of Index when freq is set in pandas-compatibility mode (#13857) @galipremsagar
• Fix an issue with fetching NA from a TimedeltaColumn (#13853) @galipremsagar
• Simplify implementation of interval_range() and fix behaviour for floating freq (#13844) @shwina
• Fix binary operations between Series and Index (#13842) @galipremsagar
• Update make_lists_column_from_scalar to use make_offsets_child_column utility (#13841) @davidwendt
• Fix read out of bounds in string concatenate (#13838) @pentschev
• Raise error for more cases when timezone-aware data is passed to as_column (#13835) @galipremsagar
• Fix any, all reduction behavior for axis=None and warn for other reductions (#13831) @galipremsagar
• Raise error when trying to construct time-zone aware timestamps (#13830) @galipremsagar
• Fix cuFile I/O factories (#13829) @vuule
• DataFrame with namedtuples uses ._field as column names (#13824) @mroeschke
• Branch 23.10 merge 23.08 (#13822) @vyasr
• Return a Series from JIT GroupBy apply, rather than a DataFrame (#13820) @brandon-b-miller
• No need to dlsym EnsureS3Finalized we can call it directly (#13819) @robertmaynard
• Raise error when mixed types are being constructed (#13816) @galipremsagar
• Fix unbounded sequence issue in DataFrame constructor (#13811) @galipremsagar
• Fix Byte-Pair-Encoding usage of cuco static-map for storing merge-pairs (#13807) @davidwendt
• Fix for Parquet writer when requested pages per row is smaller than fragment size (#13806) @etseidl
• Remove hangs from trying to construct un-bounded sequences (#13799) @galipremsagar
• Bug/update libcudf to handle arrow12 changes (#13794) @robertmaynard
• Update get_arrow to arrows 12 CMake target name of arrow::xsimd (#13790) @robertmaynard
• Raise error when trying to join datetime and timedelta types with other types (#13786) @galipremsagar
• Fix negative unary operation for boolean type (#13780) @galipremsagar
• Fix contains(in) method for Series (#13779) @galipremsagar
• Fix binary operation column ordering and missing column issues (#13778) @galipremsagar
• Cast only time of day to nanos to avoid an overflow in Parquet INT96 write (#13776) @gerashegalov
• Preserve names of column object in various APIs (#13772) @galipremsagar
• Raise error on constructing an array from mixed type inputs (#13768) @galipremsagar
• Fix construction of DataFrames from dict when columns are provided (#13766) @wence-
• Provide our own Cython declaration for make_unique (#13746) @wence-

📖 Documentation

• Fix typo in docstring: metadata. (#14025) @bdice
• Fix typo in parquet/page_decode.cuh (#13849) @XinyuZeng
• Simplify Python doc configuration (#13826) @vyasr
• Update documentation to reflect recent changes in JSON reader and writer (#13791) @vuule
• Fix all warnings in Python docs (#13789) @vyasr

🚀 New Features

• [Java] Add JNI bindings for integers_to_hex (#14205) @razajafri
• Propagate errors from Parquet reader kernels back to host (#14167) @vuule
• JNI for HISTOGRAM and MERGE_HISTOGRAM aggregations (#14154) @ttnghia
• Expose streams in all public sorting APIs (#14146) @vyasr
• Enable direct ingestion and production of Arrow scalars (#14121) @vyasr
• Implement GroupBy.value_counts to match pandas API (#14114) @stmio
• Refactor parquet thrift reader (#14097) @etseidl
• Refactor hash_reduce_by_row (#14095) @ttnghia
• Support negative preceding/following for ROW window functions (#14093) @mythrocks
• Support for progressive parquet chunked reading. (#14079) @nvdbaranec
• Implement HISTOGRAM and MERGE_HISTOGRAM aggregations (#14045) @ttnghia
• Expose streams in public search APIs (#14034) @vyasr
• Expose streams in public replace APIs (#14010) @vyasr
• Add stream parameter to public cudf::strings::split APIs (#13997) @davidwendt
• Expose streams in public filling APIs (#13990) @vyasr
• Expose streams in public concatenate APIs (#13987) @vyasr
• Use HostMemoryAllocator in jni::allocate_host_buffer (#13975) @gerashegalov
• Enable fractional null probability for hashing benchmark (#13967) @Blonck
• Switch pylibcudf-enabled types to use enum class in Cython (#13931) @vyasr
• Add nvtext::tokenize_with_vocabulary API (#13930) @davidwendt
• Rewrite DataFrame.stack to support multi level column names (#13927) @isVoid
• Add HostMemoryAllocator interface (#13924) @gerashegalov
• Global stream pool (#13922) @etseidl
• Create table_input_metadata from a table_metadata (#13920) @etseidl
• Translate column size overflow exception to JNI (#13911) @mythrocks
• Enable RLE boolean encoding for v2 Parquet files (#13886) @etseidl
• Exclude some tests from running with the compute sanitizer (#13872) @firestarman
• Expand statistics support in ORC writer (#13848) @vuule
• Register the memory mapped buffer in datasource to improve H2D throughput (#13814) @vuule
• Add cudf::strings::find function with target per row (#13808) @davidwendt
• Add minhash support for MurmurHash3_x64_128 (#13796) @davidwendt
• Remove unnecessary pointer copying in JIT GroupBy Apply (#13792) @brandon-b-miller
• Add 'poll' function to custreamz kafka consumer (#13782) @jdye64
• Support corr in GroupBy.apply through the jit engine (#13767) @shwina
• Optionally write version 2 page headers in Parquet writer (#13751) @etseidl
• Support more numeric types in Groupby.apply with engine='jit' (#13729) @brandon-b-miller
• [FEA] Add DELTA_BINARY_PACKED decoding support to Parquet reader (#13637) @etseidl
• Read FIXED_LEN_BYTE_ARRAY as binary in parquet reader (#13437) @PointKernel

🛠️ Improvements

• Update shared-action-workflows references (backport from 23.12 to 23.10) (#14300) @AyodeAwe
• Pin dask and distributed for 23.10 release (#14225) @galipremsagar
• update rmm tag path (#14195) @AyodeAwe
• Disable Recently Updated Check (#14193) @ajschmidt8
• Move cpp/src/hash/hash_allocator.cuh to include/cudf/hashing/detail (#14163) @davidwendt
• Add Parquet reader benchmarks for row selection (#14147) @vuule
• Update image names (#14145) @AyodeAwe
• Support callables in DataFrame.assign (#14142) @wence-
• Reduce memory usage of as_categorical_column (#14138) @wence-
• Replace Python scalar conversions with libcudf (#14124) @vyasr
• Update to clang 16.0.6. (#14120) @bdice
• Fix type of empty Index and raise warning in Series constructor (#14116) @galipremsagar
• Add stream parameter to external dict APIs (#14115) @SurajAralihalli
• Add fallback matrix for nvcomp. (#14082) @bdice
• [Java] Add recoverWithNull to JSONOptions and pass to Table.readJSON (#14078) @andygrove
• Remove header tests (#14072) @ajschmidt8
• Refactor contains_table with cuco::static_set (#14064) @PointKernel
• Remove debug print in a Parquet test (#14063) @vuule
• Expose stream parameter in public nvtext ngram APIs (#14061) @davidwendt
• Expose stream parameter in public strings find APIs (#14060) @davidwendt
• Update doxygen to 1.9.1 (#14059) @vyasr
• Remove the mr from the base fixture (#14057) @vyasr
• Expose streams in public strings case APIs (#14056) @davidwendt
• Refactor libcudf indexalator to typed normalator (#14043) @davidwendt
• Use cudf::make_empty_column instead of column_view constructor (#14030) @davidwendt
• Remove quadratic runtime due to accessing Frame._dtypes in loop (#14028) @wence-
• Explicitly depend on zlib in conda recipes (#14018) @wence-
• Use grid_stride for stride computations. (#13996) @bdice
• Fix an issue where casting null-array to object dtype will result in a failure (#13994) @galipremsagar
• Add tab as literal to cudf::test::to_string output (#13993) @davidwendt
• Enable codes dtype parity in pandas-compatibility mode for factorize API (#13982) @galipremsagar
• Fix CategoricalIndex ordering in Groupby.agg when pandas-compatibility mode is enabled (#13978) @galipremsagar
• Produce a fatal error if cudf is unable to find pyarrow include directory (#13976) @cwharris
• Use thread_index_type in partitioning.cu (#13973) @divyegala
• Use cudf::thread_index_type in merge.cu (#13972) @divyegala
• Use copy-pr-bot (#13970) @ajschmidt8
• Use cudf::thread_index_type in strings custom kernels (#13968) @davidwendt
• Add bytes_per_second to hash_partition benchmark (#13965) @Blonck
• Added pinned pool reservation API for java (#13964) @revans2
• Simplify wheel build scripts and allow alphas of RAPIDS dependencies (#13963) @vyasr
• Add bytes_per_second to copy_if_else benchmark (#13960) @Blonck
• Add pandas compatible output to Series.unique (#13959) @galipremsagar
• Add bytes_per_second to compiled binaryop benchmark (#13938) @Blonck
• Unpin dask and distributed for 23.10 development (#13935) @galipremsagar
• Make HostColumnVector.getRefCount public (#13934) @abellina
• Use cuco::static_set in JSON tree algorithm (#13928) @karthikeyann
• Add java API to get size of host memory needed to copy column view (#13919) @revans2
• Use cudf::size_type instead of int32 where appropriate in nvtext functions (#13915) @davidwendt
• Enable hugepage for arrow host allocations (#13914) @madsbk
• Improve performance of nvtext::edit_distance (#13912) @davidwendt
• Ensure cudf internals use pylibcudf in pure Python mode (#13909) @vyasr
• Use empty() instead of size() where possible (#13908) @vuule
• [JNI] Adds HostColumnVector.EventHandler for spillability checks (#13898) @abellina
• Return Timestamp & Timedelta for fetching scalars in DatetimeIndex & TimedeltaIndex (#13896) @galipremsagar
• Allow explicit shuffle="p2p" within dask-cudf API (#13893) @rjzamora
• Disable creation of DatetimeIndex when freq is passed to cudf.date_range (#13890) @galipremsagar
• Bring parity with pandas for datetime & timedelta comparison operations (#13877) @galipremsagar
• Change NA to NaT for datetime and timedelta types (#13868) @galipremsagar
• Raise error when astype(object) is called in pandas compatibility mode (#13862) @galipremsagar
• Fixes a performance regression in FST (#13850) @elstehle
• Set native handles to null on close in Java wrapper classes (#13818) @jlowe
• Avoid use of CUDF_EXPECTS in libcudf unit tests outside of helper functions with return values (#13812) @vuule
• Update lists::contains to experimental row comparator (#13810) @divyegala
• Reduce lists::contains dispatches for scalars (#13805) @divyegala
• Long string optimization for string column parsing in JSON reader (#13803) @karthikeyann
• Raise NotImplementedError for pd.SparseDtype (#13798) @mroeschke
• Remove the libcudf cudf::offset_type type (#13788) @davidwendt
• Move Spark-indpendent Table debug to cudf Java (#13783) @gerashegalov
• Update to Cython 3.0.0 (#13777) @vyasr
• Refactor Parquet reader handling of V2 page header info (#13775) @etseidl
• Branch 23.10 merge 23.08 (#13773) @vyasr
• Restructure JSON code to correctly reflect legacy/experimental status (#13757) @vuule
• Branch 23.10 merge 23.08 (#13753) @vyasr
• Enforce deprecations in 23.10 (#13732) @galipremsagar
• Upgrade to arrow 12 (#13728) @galipremsagar
• Refactors JSON reader's pushdown automaton (#13716) @elstehle
• Remove Arrow dependency from the datasource.hpp public header (#13698) @vuule

🚨 Breaking Changes

• Expose stream parameter in public nvtext ngram APIs (#14061) @davidwendt
• Raise MixedTypeError when a column of mixed-dtype is being constructed (#14050) @galipremsagar
• Raise NotImplementedError for MultiIndex.to_series (#14049) @galipremsagar
• Create table_input_metadata from a table_metadata (#13920) @etseidl
• Enable RLE boolean encoding for v2 Parquet files (#13886) @etseidl
• Change NA to NaT for datetime and timedelta types (#13868) @galipremsagar
• Fix any, all reduction behavior for axis=None and warn for other reductions (#13831) @galipremsagar
• Add minhash support for MurmurHash3_x64_128 (#13796) @davidwendt
• Remove the libcudf cudf::offset_type type (#13788) @davidwendt
• Raise error when trying to join datetime and timedelta types with other types (#13786) @galipremsagar
• Update to Cython 3.0.0 (#13777) @vyasr
• Raise error on constructing an array from mixed type inputs (#13768) @galipremsagar
• Enforce deprecations in 23.10 (#13732) @galipremsagar
• Upgrade to arrow 12 (#13728) @galipremsagar
• Remove Arrow dependency from the datasource.hpp public header (#13698) @vuule

🐛 Bug Fixes

• Fix inaccurate ceil/floor and inaccurate rescaling casts of fixed-point values. (#14242) @bdice
• Fix inaccuracy in decimal128 rounding. (#14233) @bdice
• Workaround for illegal instruction error in sm90 for warp instrinsics with mask (#14201) @karthikeyann
• Fix pytorch related pytest (#14198) @galipremsagar
• Pin to aws-sdk-cpp<1.11 (#14173) @pentschev
• Fix assert failure for range window functions (#14168) @mythrocks
• Fix Memcheck error found in JSON_TEST JsonReaderTest.ErrorStrings (#14164) @karthikeyann
• Fix calls to copy_bitmask to pass stream parameter (#14158) @davidwendt
• Fix DataFrame from Series with different CategoricalIndexes (#14157) @mroeschke
• Pin to numpy<1.25 and numba<0.58 to avoid errors and deprecation warnings-as-errors. (#14156) @bdice
• Fix kernel launch error for cudf::io::orc::gpu::rowgroup_char_counts_kernel (#14139) @davidwendt
• Don't sort columns for DataFrame init from list of Series (#14136) @mroeschke
• Fix DataFrame.values with no columns but index (#14134) @mroeschke
• Avoid circular cimports in _lib/cpp/reduce.pxd (#14125) @vyasr
• Add support for nested dict in DataFrame constructor (#14119) @galipremsagar
• Restrict iterables of DataFrame's as input to DataFrame constructor (#14118) @galipremsagar
• Allow numeric_only=True for reduction operations on numeric types (#14111) @galipremsagar
• Preserve name of the column while initializing a DataFrame (#14110) @galipremsagar
• Correct numerous 20054-D: dynamic initialization errors found on arm+12.2 (#14108) @robertmaynard
• Drop kwargs from Series.count (#14106) @galipremsagar
• Fix naming issues with Index.to_frame and MultiIndex.to_frame APIs (#14105) @galipremsagar
• Only use memory resources that haven't been freed (#14103) @robertmaynard
• Add support for __round__ in Series and DataFrame (#14099) @galipremsagar
• Validate ignore_index type in drop_duplicates (#14098) @mroeschke
• Fix renaming Series and Index (#14080) @galipremsagar
• Raise NotImplementedError in to_datetime if Z (or tz component) in string (#14074) @mroeschke
• Raise NotImplementedError for datetime strings with UTC offset (#14070) @mroeschke
• Update pyarrow-related dispatch logic in dask_cudf (#14069) @rjzamora
• Use conda mambabuild rather than mamba mambabuild (#14067) @wence-
• Raise NotImplementedError in to_datetime with dayfirst without infer_format (#14058) @mroeschke
• Fix various issues in Index.intersection (#14054) @galipremsagar
• Fix Index.difference to match with pandas (#14053) @galipremsagar
• Fix empty string column construction (#14052) @galipremsagar
• Fix IntervalIndex.union to preserve type-metadata (#14051) @galipremsagar
• Raise MixedTypeError when a column of mixed-dtype is being constructed (#14050) @galipremsagar
• Raise NotImplementedError for MultiIndex.to_series (#14049) @galipremsagar
• Ignore compile_commands.json (#14048) @harrism
• Raise TypeError for any non-parseable argument in to_datetime (#14044) @mroeschke
• Raise NotImplementedError for to_datetime with z format (#14037) @mroeschke
• Implement sort_remaining for sort_index (#14033) @wence-
• Raise NotImplementedError for Categoricals with timezones (#14032) @mroeschke
• Temporary fix Parquet metadata with empty value string being ignored from writing (#14026) @ttnghia
• Preserve types of scalar being returned when possible in quantile (#14014) @galipremsagar
• Fix return type of MultiIndex.difference (#14009) @galipremsagar
• Raise an error when timezone subtypes are encountered in pd.IntervalDtype (#14006) @galipremsagar
• Fix map column can not be non-nullable for java (#14003) @res-life
• Fix name selection in Index.difference and Index.intersection (#13986) @galipremsagar
• Restore column type metadata with dropna to fix factorize API (#13980) @galipremsagar
• Use thread_index_type to avoid out of bounds accesses in conditional joins (#13971) @vyasr
• Fix MultiIndex.to_numpy to return numpy array with tuples (#13966) @galipremsagar
• Use cudf::thread_index_type in get_json_object and tdigest kernels (#13962) @nvdbaranec
• Fix an issue with IntervalIndex.repr when null values are present (#13958) @galipremsagar
• Fix type metadata issue preservation with Column.unique (#13957) @galipremsagar
• Handle Interval scalars when passed in list-like inputs to cudf.Index (#13956) @galipremsagar
• Fix setting of categories order when dtype is passed to a CategoricalColumn (#13955) @galipremsagar
• Handle as_index in GroupBy.apply (#13951) @brandon-b-miller
• Raise error for string types in nsmallest and nlargest (#13946) @galipremsagar
• Fix index of Groupby.apply results when it is performed on empty objects (#13944) @galipremsagar
• Fix integer overflow in shim device_sum functions (#13943) @brandon-b-miller
• Fix type mismatch in groupby reduction for empty objects (#13942) @galipremsagar
• Fixed processed bytes calculation in APPLY_BOOLEAN_MASK benchmark. (#13937) @Blonck
• Fix construction of Grouping objects (#13932) @galipremsagar
• Fix an issue with loc when column names is MultiIndex (#13929) @galipremsagar
• Fix handling of typecasting in searchsorted (#13925) @galipremsagar
• Preserve index name in reindex (#13917) @galipremsagar
• Use cudf::thread_index_type in cuIO to prevent overflow in row indexing (#13910) @vuule
• Fix for encodings listed in the Parquet column chunk metadata (#13907) @etseidl
• Use cudf::thread_index_type in concatenate.cu. (#13906) @bdice
• Use cudf::thread_index_type in replace.cu. (#13905) @bdice
• Add noSanitizer tag to Java reduction tests failing with sanitizer in CUDA 12 (#13904) @jlowe
• Remove the internal use of the cudf's default stream in cuIO (#13903) @vuule
• Use cuda-nvtx-dev CUDA 12 package. (#13901) @bdice
• Use thread_index_type to avoid index overflow in grid-stride loops (#13895) @PointKernel
• Fix memory access error in cudf::shift for sliced strings (#13894) @davidwendt
• Raise error when trying to construct a DataFrame with mixed types (#13889) @galipremsagar
• Return nan when one variable to be correlated has zero variance in JIT GroupBy Apply (#13884) @brandon-b-miller
• Correctly detect the BOM mark in read_csv with compressed input (#13881) @vuule
• Check for the presence of all values in MultiIndex.isin (#13879) @galipremsagar
• Fix nvtext::generate_character_ngrams performance regression for longer strings (#13874) @davidwendt
• Fix return type of MultiIndex.levels (#13870) @galipremsagar
• Fix List's missing children metadata in JSON writer (#13869) @karthikeyann
• Disable construction of Index when freq is set in pandas-compatibility mode (#13857) @galipremsagar
• Fix an issue with fetching NA from a TimedeltaColumn (#13853) @galipremsagar
• Simplify implementation of interval_range() and fix behaviour for floating freq (#13844) @shwina
• Fix binary operations between Series and Index (#13842) @galipremsagar
• Update make_lists_column_from_scalar to use make_offsets_child_column utility (#13841) @davidwendt
• Fix read out of bounds in string concatenate (#13838) @pentschev
• Raise error for more cases when timezone-aware data is passed to as_column (#13835) @galipremsagar
• Fix any, all reduction behavior for axis=None and warn for other reductions (#13831) @galipremsagar
• Raise error when trying to construct time-zone aware timestamps (#13830) @galipremsagar
• Fix cuFile I/O factories (#13829) @vuule
• DataFrame with namedtuples uses ._field as column names (#13824) @mroeschke
• Branch 23.10 merge 23.08 (#13822) @vyasr
• Return a Series from JIT GroupBy apply, rather than a DataFrame (#13820) @brandon-b-miller
• No need to dlsym EnsureS3Finalized we can call it directly (#13819) @robertmaynard
• Raise error when mixed types are being constructed (#13816) @galipremsagar
• Fix unbounded sequence issue in DataFrame constructor (#13811) @galipremsagar
• Fix Byte-Pair-Encoding usage of cuco static-map for storing merge-pairs (#13807) @davidwendt
• Fix for Parquet writer when requested pages per row is smaller than fragment size (#13806) @etseidl
• Remove hangs from trying to construct un-bounded sequences (#13799) @galipremsagar
• Bug/update libcudf to handle arrow12 changes (#13794) @robertmaynard
• Update get_arrow to arrows 12 CMake target name of arrow::xsimd (#13790) @robertmaynard
• Raise error when trying to join datetime and timedelta types with other types (#13786) @galipremsagar
• Fix negative unary operation for boolean type (#13780) @galipremsagar
• Fix contains(in) method for Series (#13779) @galipremsagar
• Fix binary operation column ordering and missing column issues (#13778) @galipremsagar
• Cast only time of day to nanos to avoid an overflow in Parquet INT96 write (#13776) @gerashegalov
• Preserve names of column object in various APIs (#13772) @galipremsagar
• Raise error on constructing an array from mixed type inputs (#13768) @galipremsagar
• Fix construction of DataFrames from dict when columns are provided (#13766) @wence-
• Provide our own Cython declaration for make_unique (#13746) @wence-

📖 Documentation

• Fix typo in docstring: metadata. (#14025) @bdice
• Fix typo in parquet/page_decode.cuh (#13849) @XinyuZeng
• Simplify Python doc configuration (#13826) @vyasr
• Update documentation to reflect recent changes in JSON reader and writer (#13791) @vuule
• Fix all warnings in Python docs (#13789) @vyasr

🚀 New Features

• [Java] Add JNI bindings for integers_to_hex (#14205) @razajafri
• Propagate errors from Parquet reader kernels back to host (#14167) @vuule
• JNI for HISTOGRAM and MERGE_HISTOGRAM aggregations (#14154) @ttnghia
• Expose streams in all public sorting APIs (#14146) @vyasr
• Enable direct ingestion and production of Arrow scalars (#14121) @vyasr
• Implement GroupBy.value_counts to match pandas API (#14114) @stmio
• Refactor parquet thrift reader (#14097) @etseidl
• Refactor hash_reduce_by_row (#14095) @ttnghia
• Support negative preceding/following for ROW window functions (#14093) @mythrocks
• Support for progressive parquet chunked reading. (#14079) @nvdbaranec
• Implement HISTOGRAM and MERGE_HISTOGRAM aggregations (#14045) @ttnghia
• Expose streams in public search APIs (#14034) @vyasr
• Expose streams in public replace APIs (#14010) @vyasr
• Add stream parameter to public cudf::strings::split APIs (#13997) @davidwendt
• Expose streams in public filling APIs (#13990) @vyasr
• Expose streams in public concatenate APIs (#13987) @vyasr
• Use HostMemoryAllocator in jni::allocate_host_buffer (#13975) @gerashegalov
• Enable fractional null probability for hashing benchmark (#13967) @Blonck
• Switch pylibcudf-enabled types to use enum class in Cython (#13931) @vyasr
• Add nvtext::tokenize_with_vocabulary API (#13930) @davidwendt
• Rewrite DataFrame.stack to support multi level column names (#13927) @isVoid
• Add HostMemoryAllocator interface (#13924) @gerashegalov
• Global stream pool (#13922) @etseidl
• Create table_input_metadata from a table_metadata (#13920) @etseidl
• Translate column size overflow exception to JNI (#13911) @mythrocks
• Enable RLE boolean encoding for v2 Parquet files (#13886) @etseidl
• Exclude some tests from running with the compute sanitizer (#13872) @firestarman
• Expand statistics support in ORC writer (#13848) @vuule
• Register the memory mapped buffer in datasource to improve H2D throughput (#13814) @vuule
• Add cudf::strings::find function with target per row (#13808) @davidwendt
• Add minhash support for MurmurHash3_x64_128 (#13796) @davidwendt
• Remove unnecessary pointer copying in JIT GroupBy Apply (#13792) @brandon-b-miller
• Add 'poll' function to custreamz kafka consumer (#13782) @jdye64
• Support corr in GroupBy.apply through the jit engine (#13767) @shwina
• Optionally write version 2 page headers in Parquet writer (#13751) @etseidl
• Support more numeric types in Groupby.apply with engine='jit' (#13729) @brandon-b-miller
• [FEA] Add DELTA_BINARY_PACKED decoding support to Parquet reader (#13637) @etseidl
• Read FIXED_LEN_BYTE_ARRAY as binary in parquet reader (#13437) @PointKernel

🛠️ Improvements

• Pin dask and distributed for 23.10 release (#14225) @galipremsagar
• update rmm tag path (#14195) @AyodeAwe
• Disable Recently Updated Check (#14193) @ajschmidt8
• Move cpp/src/hash/hash_allocator.cuh to include/cudf/hashing/detail (#14163) @davidwendt
• Add Parquet reader benchmarks for row selection (#14147) @vuule
• Update image names (#14145) @AyodeAwe
• Support callables in DataFrame.assign (#14142) @wence-
• Reduce memory usage of as_categorical_column (#14138) @wence-
• Replace Python scalar conversions with libcudf (#14124) @vyasr
• Update to clang 16.0.6. (#14120) @bdice
• Fix type of empty Index and raise warning in Series constructor (#14116) @galipremsagar
• Add stream parameter to external dict APIs (#14115) @SurajAralihalli
• Add fallback matrix for nvcomp. (#14082) @bdice
• [Java] Add recoverWithNull to JSONOptions and pass to Table.readJSON (#14078) @andygrove
• Remove header tests (#14072) @ajschmidt8
• Refactor contains_table with cuco::static_set (#14064) @PointKernel
• Remove debug print in a Parquet test (#14063) @vuule
• Expose stream parameter in public nvtext ngram APIs (#14061) @davidwendt
• Expose stream parameter in public strings find APIs (#14060) @davidwendt
• Update doxygen to 1.9.1 (#14059) @vyasr
• Remove the mr from the base fixture (#14057) @vyasr
• Expose streams in public strings case APIs (#14056) @davidwendt
• Refactor libcudf indexalator to typed normalator (#14043) @davidwendt
• Use cudf::make_empty_column instead of column_view constructor (#14030) @davidwendt
• Remove quadratic runtime due to accessing Frame._dtypes in loop (#14028) @wence-
• Explicitly depend on zlib in conda recipes (#14018) @wence-
• Use grid_stride for stride computations. (#13996) @bdice
• Fix an issue where casting null-array to object dtype will result in a failure (#13994) @galipremsagar
• Add tab as literal to cudf::test::to_string output (#13993) @davidwendt
• Enable codes dtype parity in pandas-compatibility mode for factorize API (#13982) @galipremsagar
• Fix CategoricalIndex ordering in Groupby.agg when pandas-compatibility mode is enabled (#13978) @galipremsagar
• Produce a fatal error if cudf is unable to find pyarrow include directory (#13976) @cwharris
• Use thread_index_type in partitioning.cu (#13973) @divyegala
• Use cudf::thread_index_type in merge.cu (#13972) @divyegala
• Use copy-pr-bot (#13970) @ajschmidt8
• Use cudf::thread_index_type in strings custom kernels (#13968) @davidwendt
• Add bytes_per_second to hash_partition benchmark (#13965) @Blonck
• Added pinned pool reservation API for java (#13964) @revans2
• Simplify wheel build scripts and allow alphas of RAPIDS dependencies (#13963) @vyasr
• Add bytes_per_second to copy_if_else benchmark (#13960) @Blonck
• Add pandas compatible output to Series.unique (#13959) @galipremsagar
• Add bytes_per_second to compiled binaryop benchmark (#13938) @Blonck
• Unpin dask and distributed for 23.10 development (#13935) @galipremsagar
• Make HostColumnVector.getRefCount public (#13934) @abellina
• Use cuco::static_set in JSON tree algorithm (#13928) @karthikeyann
• Add java API to get size of host memory needed to copy column view (#13919) @revans2
• Use cudf::size_type instead of int32 where appropriate in nvtext functions (#13915) @davidwendt
• Enable hugepage for arrow host allocations (#13914) @madsbk
• Improve performance of nvtext::edit_distance (#13912) @davidwendt
• Ensure cudf internals use pylibcudf in pure Python mode (#13909) @vyasr
• Use empty() instead of size() where possible (#13908) @vuule
• [JNI] Adds HostColumnVector.EventHandler for spillability checks (#13898) @abellina
• Return Timestamp & Timedelta for fetching scalars in DatetimeIndex & TimedeltaIndex (#13896) @galipremsagar
• Allow explicit shuffle="p2p" within dask-cudf API (#13893) @rjzamora
• Disable creation of DatetimeIndex when freq is passed to cudf.date_range (#13890) @galipremsagar
• Bring parity with pandas for datetime & timedelta comparison operations (#13877) @galipremsagar
• Change NA to NaT for datetime and timedelta types (#13868) @galipremsagar
• Raise error when astype(object) is called in pandas compatibility mode (#13862) @galipremsagar
• Fixes a performance regression in FST (#13850) @elstehle
• Set native handles to null on close in Java wrapper classes (#13818) @jlowe
• Avoid use of CUDF_EXPECTS in libcudf unit tests outside of helper functions with return values (#13812) @vuule
• Update lists::contains to experimental row comparator (#13810) @divyegala
• Reduce lists::contains dispatches for scalars (#13805) @divyegala
• Long string optimization for string column parsing in JSON reader (#13803) @karthikeyann
• Raise NotImplementedError for pd.SparseDtype (#13798) @mroeschke
• Remove the libcudf cudf::offset_type type (#13788) @davidwendt
• Move Spark-indpendent Table debug to cudf Java (#13783) @gerashegalov
• Update to Cython 3.0.0 (#13777) @vyasr
• Refactor Parquet reader handling of V2 page header info (#13775) @etseidl
• Branch 23.10 merge 23.08 (#13773) @vyasr
• Restructure JSON code to correctly reflect legacy/experimental status (#13757) @vuule
• Branch 23.10 merge 23.08 (#13753) @vyasr
• Enforce deprecations in 23.10 (#13732) @galipremsagar
• Upgrade to arrow 12 (#13728) @galipremsagar
• Refactors JSON reader's pushdown automaton (#13716) @elstehle
• Remove Arrow dependency from the datasource.hpp public header (#13698) @vuule

🔗 Links

• Development Branch
• Compare with main branch

🚨 Breaking Changes

• Expose stream parameter in public strings convert APIs (#14255) @davidwendt

🐛 Bug Fixes

• Downgrade to Arrow 12.0.0 for aws-sdk-cpp and fix cudf_kafka builds for new CI containers (#14296) @vyasr
• Fix memset error in nvtext::edit_distance_matrix (#14283) @davidwendt
• Changes JSON reader's recovery option's behaviour to ignore all characters after a valid JSON record (#14279) @elstehle
• Handle empty string correctly in Parquet statistics (#14257) @etseidl
• Fixes behaviour for incomplete lines when recover_with_nulls is enabled (#14252) @elstehle
• cudf::detail::pinned_allocator doesn't throw from deallocate (#14251) @robertmaynard
• Fix strings replace for adjacent, identical multi-byte UTF-8 character targets (#14235) @davidwendt
• Fixing parquet list of struct interpretation (#13715) @hyperbolic2346

🚀 New Features

• Update rapids-cmake functions to non-deprecated signatures (#14265) @robertmaynard
• Expose streams in public null mask APIs (#14263) @vyasr
• Expose streams in binaryop APIs (#14187) @vyasr
• Add pylibcudf.Scalar that interoperates with Arrow scalars (#14133) @vyasr
• Add DELTA_BINARY_PACKED encoder for Parquet writer (#14100) @etseidl

🛠️ Improvements

• Forward-merge branch-23.10 to branch-23.12 (#14307) @bdice
• Update shared-action-workflows references (#14289) @AyodeAwe
• Add stream parameter to List Sort and Filter APIs (#14272) @SurajAralihalli
• Use branch-23.12 workflows. (#14271) @bdice
• Refactor LogicalType for Parquet (#14264) @etseidl
• Centralize chunked reading code in the parquet reader to reader_impl_chunking.cu (#14262) @nvdbaranec
• Expose stream parameter in public strings replace APIs (#14261) @davidwendt
• Expose stream parameter in public strings APIs (#14260) @davidwendt
• Cleanup of namespaces in parquet code. (#14259) @nvdbaranec
• Make parquet schema index type consistent (#14256) @hyperbolic2346
• Expose stream parameter in public strings convert APIs (#14255) @davidwendt
• Add in java bindings for DataSource (#14254) @revans2
• Add stream parameter to List Manipulation and Operations APIs (#14248) @SurajAralihalli
• Expose stream parameter in public strings split/partition APIs (#14247) @davidwendt
• Improve contains_column by invoking contains_table (#14238) @PointKernel
• Detect and report errors in Parquet header parsing (#14237) @etseidl
• Forward merge 23.10 into 23.12 (#14231) @galipremsagar
• Return error if BOOL8 column-type is used with integers-to-hex (#14208) @davidwendt
• Enable indexalator for device code (#14206) @davidwendt
• Marginally reduce memory footprint of joins (#14197) @wence-
• Add nvtx annotations to spilling-based data movement (#14196) @wence-
• Remove the use of volatile in ORC (#14175) @vuule
• Add bytes_per_second to distinct_count of stream_compaction nvbench. (#14172) @Blonck
• Add bytes_per_second to transpose benchmark (#14170) @Blonck
• cuDF: Build CUDA 12.0 ARM conda packages. (#14112) @bdice
• Add bytes_per_second to shift benchmark (#13950) @Blonck

🚨 Breaking Changes

• Enforce deprecations and add clarifications around existing deprecations (#13710) @galipremsagar
• Separate MurmurHash32 from hash_functions.cuh (#13681) @davidwendt
• Avoid storing metadata in pointers in ORC and Parquet writers (#13648) @vuule
• Expose streams in all public copying APIs (#13629) @vyasr
• Remove deprecated cudf::strings::slice_strings (by delimiter) functions (#13628) @davidwendt
• Remove deprecated cudf.set_allocator. (#13591) @bdice
• Change build.sh to use pip install instead of setup.py (#13507) @vyasr
• Remove unused max_rows_tensor parameter from subword tokenizer (#13463) @davidwendt
• Fix decimal scale reductions in _get_decimal_type (#13224) @charlesbluca

🐛 Bug Fixes

• Add CUDA version to cudf_kafka and libcudf-example build strings. (#13769) @bdice
• Fix typo in wheels-test.yaml. (#13763) @bdice
• Don't test strings shorter than the requested ngram size (#13758) @vyasr
• Add CUDA version to custreamz build string. (#13754) @bdice
• Fix writing of ORC files with empty child string columns (#13745) @vuule
• Remove the erroneous "empty level" short-circuit from ORC reader (#13722) @vuule
• Fix character counting when writing sliced tables into ORC (#13721) @vuule
• Parquet uses row group row count if missing from header (#13712) @hyperbolic2346
• Fix reading of RLE encoded boolean data from parquet files with V2 page headers (#13707) @etseidl
• Fix a corner case of list lexicographic comparator (#13701) @ttnghia
• Fix combined filtering and column projection in dask_cudf.read_parquet (#13697) @rjzamora
• Revert fetch-rapids changes (#13696) @vyasr
• Data generator - include offsets in the size estimate of list elments (#13688) @vuule
• Add cuda-nvcc-impl to cudf for numba CUDA 12 (#13673) @jakirkham
• Fix combined filtering and column projection in read_parquet (#13666) @rjzamora
• Use thrust::identity as hash functions for byte pair encoding (#13665) @PointKernel
• Fix loc-getitem ordering when index contains duplicate labels (#13659) @wence-
• [REVIEW] Introduce parity with pandas for MultiIndex.loc ordering & fix a bug in Groupby with as_index (#13657) @galipremsagar
• Fix memcheck error found in nvtext tokenize functions (#13649) @davidwendt
• Fix has_nonempty_nulls ignoring column offset (#13647) @ttnghia
• [Java] Avoid double-free corruption in case of an Exception while creating a ColumnView (#13645) @razajafri
• Fix memcheck error in ORC reader call to cudf::io::copy_uncompressed_kernel (#13643) @davidwendt
• Fix CUDA 12 conda environment to remove cubinlinker and ptxcompiler. (#13636) @bdice
• Fix inf/NaN comparisons for FLOAT orderby in window functions (#13635) @mythrocks
• Refactor Index search to simplify code and increase correctness (#13625) @wence-
• Fix compile warning for unused variable in split_re.cu (#13621) @davidwendt
• Fix tz_localize for dask_cudf Series (#13610) @shwina
• Fix issue with no decompressed data in ORC reader (#13609) @vuule
• Fix floating point window range extents. (#13606) @mythrocks
• Fix localize(None) for timezone-naive columns (#13603) @shwina
• Fixed a memory leak caused by Exception thrown while constructing a ColumnView (#13597) @razajafri
• Handle nullptr return value from bitmask_or in distinct_count (#13590) @wence-
• Bring parity with pandas in Index.join (#13589) @galipremsagar
• Fix cudf.melt when there are more than 255 columns (#13588) @hcho3
• Fix memory issues in cuIO due to removal of memory padding (#13586) @ttnghia
• Fix Parquet multi-file reading (#13584) @etseidl
• Fix memcheck error found in LISTS_TEST (#13579) @davidwendt
• Fix memcheck error found in STRINGS_TEST (#13578) @davidwendt
• Fix memcheck error found in INTEROP_TEST (#13577) @davidwendt
• Fix memcheck errors found in REDUCTION_TEST (#13574) @davidwendt
• Preemptive fix for hive-partitioning change in dask (#13564) @rjzamora
• Fix an issue with dask_cudf.read_csv when lines are needed to be skipped (#13555) @galipremsagar
• Fix out-of-bounds memory write in cudf::dictionary::detail::concatenate (#13554) @davidwendt
• Fix the null mask size in json reader (#13537) @karthikeyann
• Fix cudf::strings::strip for all-empty input column (#13533) @davidwendt
• Make sure to build without isolation or installing dependencies (#13524) @vyasr
• Remove preload lib from CMake for now (#13519) @vyasr
• Fix missing separator after null values in JSON writer (#13503) @karthikeyann
• Ensure single_lane_block_sum_reduce is safe to call in a loop (#13488) @wence-
• Update all versions in pyproject.toml files. (#13486) @bdice
• Remove applying nvbench that doesn't exist in 23.08 (#13484) @robertmaynard
• Fix chunked Parquet reader benchmark (#13482) @vuule
• Update JNI JSON reader column compatability for Spark (#13477) @revans2
• Fix unsanitized output of scan with strings (#13455) @davidwendt
• Reject functions without bytecode from _can_be_jitted in GroupBy Apply (#13429) @brandon-b-miller
• Fix decimal scale reductions in _get_decimal_type (#13224) @charlesbluca

📖 Documentation

• Fix doxygen groups for io data sources and sinks (#13718) @davidwendt
• Add pandas compatibility note to DataFrame.query docstring (#13693) @beckernick
• Add pylibcudf to developer guide (#13639) @vyasr
• Fix repeated words in doxygen text (#13598) @karthikeyann
• Update docs for top-level API. (#13592) @bdice
• Fix the the doxygen text for cudf::concatenate and other places (#13561) @davidwendt
• Document stream validation approach used in testing (#13556) @vyasr
• Cleanup doc repetitions in libcudf (#13470) @karthikeyann

🚀 New Features

• Support min and max aggregations for list type in groupby and reduction (#13676) @ttnghia
• Add nvtext::jaccard_index API for strings columns (#13669) @davidwendt
• Add read_parquet_metadata libcudf API (#13663) @karthikeyann
• Expose streams in all public copying APIs (#13629) @vyasr
• Add XXHash_64 hash function to cudf (#13612) @davidwendt
• Java support: Floating point order-by columns for RANGE window functions (#13595) @mythrocks
• Use cuco::static_map to build string dictionaries in ORC writer (#13580) @vuule
• Add pylibcudf subpackage with gather implementation (#13562) @vyasr
• Add JNI for lists::concatenate_list_elements (#13547) @ttnghia
• Enable nested types for lists::concatenate_list_elements (#13545) @ttnghia
• Add unicode encoding for string columns in JSON writer (#13539) @karthikeyann
• Remove numba kernels from find_index_of_val (#13517) @brandon-b-miller
• Floating point order-by columns for RANGE window functions (#13512) @mythrocks
• Parse column chunk metadata statistics in parquet reader (#13472) @karthikeyann
• Add abs function to apply (#13408) @brandon-b-miller
• [FEA] AST filtering in parquet reader (#13348) @karthikeyann
• [FEA] Adds option to recover from invalid JSON lines in JSON tokenizer (#13344) @elstehle
• Ensure cccl packages don't clash with upstream version (#13235) @robertmaynard
• Update struct_minmax_util to experimental row comparator (#13069) @divyegala
• Add stream parameter to hashing APIs (#12090) @vyasr

🛠️ Improvements

• Pin dask and distributed for 23.08 release (#13802) @galipremsagar
• Relax protobuf pinnings. (#13770) @bdice
• Switch fully unbounded window functions to use aggregations (#13727) @mythrocks
• Switch to new wheel building pipeline (#13723) @vyasr
• Revert CUDA 12.0 CI workflows to branch-23.08. (#13719) @bdice
• Adding identify minimum version requirement (#13713) @hyperbolic2346
• Enforce deprecations and add clarifications around existing deprecations (#13710) @galipremsagar
• Optimize ORC reader performance for list data (#13708) @vyasr
• fix limit overflow message in a docstring (#13703) @ahmet-uyar
• Alleviates JSON parser's need for multi-file sources to end with a newline (#13702) @elstehle
• Update cython-lint and replace flake8 with ruff (#13699) @vyasr
• Add __dask_tokenize__ definitions to cudf classes (#13695) @rjzamora
• Convert libcudf hashing benchmarks to nvbench (#13694) @davidwendt
• Separate MurmurHash32 from hash_functions.cuh (#13681) @davidwendt
• Improve performance of cudf::strings::split on whitespace (#13680) @davidwendt
• Allow ORC and Parquet writers to write nullable columns without nulls as non-nullable (#13675) @vuule
• Raise a NotImplementedError in to_datetime when utc is passed (#13670) @shwina
• Add rmm_mode parameter to nvbench base fixture (#13668) @davidwendt
• Fix multiindex loc ordering in pandas-compat mode (#13660) @wence-
• Add nvtext hash_character_ngrams function (#13654) @davidwendt
• Avoid storing metadata in pointers in ORC and Parquet writers (#13648) @vuule
• Acquire spill lock in to/from_arrow (#13646) @shwina
• Expose stable versions of libcudf sort routines (#13634) @wence-
• Separate out hash_test.cpp source for each hash API (#13633) @davidwendt
• Remove deprecated cudf::strings::slice_strings (by delimiter) functions (#13628) @davidwendt
• Create separate libcudf hash APIs for each supported hash function (#13626) @davidwendt
• Add convert_dtypes API (#13623) @shwina
• Clean up cupy in dependencies.yaml. (#13617) @bdice
• Use cuda-version to constrain cudatoolkit. (#13615) @bdice
• Add murmurhash3_x64_128 function to libcudf (#13604) @davidwendt
• Performance improvement for cudf::strings::like (#13594) @davidwendt
• Remove deprecated cudf.set_allocator. (#13591) @bdice
• Clean up cudf device atomic with cuda::atomic_ref (#13583) @PointKernel
• Add java bindings for distinct count (#13573) @revans2
• Use nvcomp conda package. (#13566) @bdice
• Add exception to string_scalar if input string exceeds size_type (#13560) @davidwendt
• Add dispatch for cudf.Dataframe to/from pyarrow.Table conversion (#13558) @rjzamora
• Get rid of cuco::pair_type aliases (#13553) @PointKernel
• Introduce parity with pandas when sort=False in Groupby (#13551) @galipremsagar
• Update CMake in docker to 3.26.4 (#13550) @NvTimLiu
• Clarify source of error message in stream testing. (#13541) @bdice
• Deprecate strings_to_categorical in cudf.read_parquet (#13540) @galipremsagar
• Update to CMake 3.26.4 (#13538) @vyasr
• s3 folder naming fix (#13536) @AyodeAwe
• Implement iloc-getitem using parse-don't-validate approach (#13534) @wence-
• Make synchronization explicit in the names of hostdevice_* copying APIs (#13530) @ttnghia
• Add benchmark (Google Benchmark) dependency to conda packages. (#13528) @bdice
• Add libcufile to dependencies.yaml. (#13523) @bdice
• Fix some memoization logic in groupby/sort/sort_helper.cu (#13521) @davidwendt
• Use sizes_to_offsets_iterator in cudf::gather for strings (#13520) @davidwendt
• use rapids-upload-docs script (#13518) @AyodeAwe
• Support UTF-8 BOM in CSV reader (#13516) @davidwendt
• Move stream-related test configuration to CMake (#13513) @vyasr
• Implement cudf.option_context (#13511) @galipremsagar
• Unpin dask and distributed for development (#13508) @galipremsagar
• Change build.sh to use pip install instead of setup.py (#13507) @vyasr
• Use test default stream (#13506) @vyasr
• Remove documentation build scripts for Jenkins (#13495) @ajschmidt8
• Use east const in include files (#13494) @karthikeyann
• Use east const in src files (#13493) @karthikeyann
• Use east const in tests files (#13492) @karthikeyann
• Use east const in benchmarks files (#13491) @karthikeyann
• Performance improvement for nvtext tokenize/token functions (#13480) @davidwendt
• Add pd.Float*Dtype to Avro and ORC mappings (#13475) @mroeschke
• Use pandas public APIs where available (#13467) @mroeschke
• Allow pd.ArrowDtype in cudf.from_pandas (#13465) @mroeschke
• Rework libcudf regex benchmarks with nvbench (#13464) @davidwendt
• Remove unused max_rows_tensor parameter from subword tokenizer (#13463) @davidwendt
• Separate io-text and nvtext pytests into different files (#13435) @davidwendt
• Add a move_to function to cudf::string_view::const_iterator (#13428) @davidwendt
• Allow newer scikit-build (#13424) @vyasr
• Refactor sort_by_values to sort_values, drop indices from return values. (#13419) @bdice
• Inline Cython exception handler (#13411) @vyasr
• Init JNI version 23.08.0-SNAPSHOT (#13401) @pxLi
• Refactor ORC reader (#13396) @ttnghia
• JNI: Remove cleaned objects in memory cleaner (#13378) @res-life
• Add tests of currently unsupported indexing (#13338) @wence-
• Performance improvement for some libcudf regex functions for long strings (#13322) @davidwendt
• Exposure Tracked Buffer (first step towards unifying copy-on-write and spilling) (#13307) @madsbk
• Write string data directly to column_buffer in Parquet reader (#13302) @etseidl
• Add stacktrace into cudf exception types (#13298) @ttnghia
• cuDF: Build CUDA 12 packages (#12922) @bdice

🔗 Links

• Development Branch
• Compare with main branch

🚨 Breaking Changes

• Raise MixedTypeError when a column of mixed-dtype is being constructed (#14050) @galipremsagar
• Raise NotImplementedError for MultiIndex.to_series (#14049) @galipremsagar
• Create table_input_metadata from a table_metadata (#13920) @etseidl
• Enable RLE boolean encoding for v2 Parquet files (#13886) @etseidl
• Change NA to NaT for datetime and timedelta types (#13868) @galipremsagar
• Fix any, all reduction behavior for axis=None and warn for other reductions (#13831) @galipremsagar
• Add minhash support for MurmurHash3_x64_128 (#13796) @davidwendt
• Remove the libcudf cudf::offset_type type (#13788) @davidwendt
• Raise error when trying to join datetime and timedelta types with other types (#13786) @galipremsagar
• Update to Cython 3.0.0 (#13777) @vyasr
• Raise error on constructing an array from mixed type inputs (#13768) @galipremsagar
• Enforce deprecations in 23.10 (#13732) @galipremsagar
• Upgrade to arrow 12 (#13728) @galipremsagar
• Remove Arrow dependency from the datasource.hpp public header (#13698) @vuule

🐛 Bug Fixes

• Fix kernel launch error for cudf::io::orc::gpu::rowgroup_char_counts_kernel (#14139) @davidwendt
• Don't sort columns for DataFrame init from list of Series (#14136) @mroeschke
• Fix DataFrame.values with no columns but index (#14134) @mroeschke
• Avoid circular cimports in _lib/cpp/reduce.pxd (#14125) @vyasr
• Add support for nested dict in DataFrame constructor (#14119) @galipremsagar
• Restrict iterables of DataFrame's as input to DataFrame constructor (#14118) @galipremsagar
• Allow numeric_only=True for reduction operations on numeric types (#14111) @galipremsagar
• Drop kwargs from Series.count (#14106) @galipremsagar
• Fix naming issues with Index.to_frame and MultiIndex.to_frame APIs (#14105) @galipremsagar
• Only use memory resources that haven't been freed (#14103) @robertmaynard
• Add support for __round__ in Series and DataFrame (#14099) @galipremsagar
• Validate ignore_index type in drop_duplicates (#14098) @mroeschke
• Fix renaming Series and Index (#14080) @galipremsagar
• Raise NotImplementedError in to_datetime if Z (or tz component) in string (#14074) @mroeschke
• Raise NotImplementedError for datetime strings with UTC offset (#14070) @mroeschke
• Update pyarrow-related dispatch logic in dask_cudf (#14069) @rjzamora
• Use conda mambabuild rather than mamba mambabuild (#14067) @wence-
• Raise NotImplementedError in to_datetime with dayfirst without infer_format (#14058) @mroeschke
• Fix various issues in Index.intersection (#14054) @galipremsagar
• Fix Index.difference to match with pandas (#14053) @galipremsagar
• Fix empty string column construction (#14052) @galipremsagar
• Fix IntervalIndex.union to preserve type-metadata (#14051) @galipremsagar
• Raise MixedTypeError when a column of mixed-dtype is being constructed (#14050) @galipremsagar
• Raise NotImplementedError for MultiIndex.to_series (#14049) @galipremsagar
• Ignore compile_commands.json (#14048) @harrism
• Raise TypeError for any non-parseable argument in to_datetime (#14044) @mroeschke
• Raise NotImplementedError for to_datetime with z format (#14037) @mroeschke
• Implement sort_remaining for sort_index (#14033) @wence-
• Raise NotImplementedError for Categoricals with timezones (#14032) @mroeschke
• Temporary fix Parquet metadata with empty value string being ignored from writing (#14026) @ttnghia
• Preserve types of scalar being returned when possible in quantile (#14014) @galipremsagar
• Fix return type of MultiIndex.difference (#14009) @galipremsagar
• Raise an error when timezone subtypes are encountered in pd.IntervalDtype (#14006) @galipremsagar
• Fix map column can not be non-nullable for java (#14003) @res-life
• Fix name selection in Index.difference and Index.intersection (#13986) @galipremsagar
• Restore column type metadata with dropna to fix factorize API (#13980) @galipremsagar
• Use thread_index_type to avoid out of bounds accesses in conditional joins (#13971) @vyasr
• Fix MultiIndex.to_numpy to return numpy array with tuples (#13966) @galipremsagar
• Use cudf::thread_index_type in get_json_object and tdigest kernels (#13962) @nvdbaranec
• Fix an issue with IntervalIndex.repr when null values are present (#13958) @galipremsagar
• Fix type metadata issue preservation with Column.unique (#13957) @galipremsagar
• Handle Interval scalars when passed in list-like inputs to cudf.Index (#13956) @galipremsagar
• Fix setting of categories order when dtype is passed to a CategoricalColumn (#13955) @galipremsagar
• Handle as_index in GroupBy.apply (#13951) @brandon-b-miller
• Raise error for string types in nsmallest and nlargest (#13946) @galipremsagar
• Fix index of Groupby.apply results when it is performed on empty objects (#13944) @galipremsagar
• Fix integer overflow in shim device_sum functions (#13943) @brandon-b-miller
• Fix type mismatch in groupby reduction for empty objects (#13942) @galipremsagar
• Fixed processed bytes calculation in APPLY_BOOLEAN_MASK benchmark. (#13937) @Blonck
• Fix construction of Grouping objects (#13932) @galipremsagar
• Fix an issue with loc when column names is MultiIndex (#13929) @galipremsagar
• Fix handling of typecasting in searchsorted (#13925) @galipremsagar
• Preserve index name in reindex (#13917) @galipremsagar
• Use cudf::thread_index_type in cuIO to prevent overflow in row indexing (#13910) @vuule
• Fix for encodings listed in the Parquet column chunk metadata (#13907) @etseidl
• Use cudf::thread_index_type in concatenate.cu. (#13906) @bdice
• Use cudf::thread_index_type in replace.cu. (#13905) @bdice
• Add noSanitizer tag to Java reduction tests failing with sanitizer in CUDA 12 (#13904) @jlowe
• Remove the internal use of the cudf's default stream in cuIO (#13903) @vuule
• Use cuda-nvtx-dev CUDA 12 package. (#13901) @bdice
• Use thread_index_type to avoid index overflow in grid-stride loops (#13895) @PointKernel
• Fix memory access error in cudf::shift for sliced strings (#13894) @davidwendt
• Raise error when trying to construct a DataFrame with mixed types (#13889) @galipremsagar
• Return nan when one variable to be correlated has zero variance in JIT GroupBy Apply (#13884) @brandon-b-miller
• Correctly detect the BOM mark in read_csv with compressed input (#13881) @vuule
• Check for the presence of all values in MultiIndex.isin (#13879) @galipremsagar
• Fix nvtext::generate_character_ngrams performance regression for longer strings (#13874) @davidwendt
• Fix return type of MultiIndex.levels (#13870) @galipremsagar
• Fix List's missing children metadata in JSON writer (#13869) @karthikeyann
• Disable construction of Index when freq is set in pandas-compatibility mode (#13857) @galipremsagar
• Fix an issue with fetching NA from a TimedeltaColumn (#13853) @galipremsagar
• Simplify implementation of interval_range() and fix behaviour for floating freq (#13844) @shwina
• Fix binary operations between Series and Index (#13842) @galipremsagar
• Update make_lists_column_from_scalar to use make_offsets_child_column utility (#13841) @davidwendt
• Fix read out of bounds in string concatenate (#13838) @pentschev
• Raise error for more cases when timezone-aware data is passed to as_column (#13835) @galipremsagar
• Fix any, all reduction behavior for axis=None and warn for other reductions (#13831) @galipremsagar
• Raise error when trying to construct time-zone aware timestamps (#13830) @galipremsagar
• Fix cuFile I/O factories (#13829) @vuule
• DataFrame with namedtuples uses ._field as column names (#13824) @mroeschke
• Branch 23.10 merge 23.08 (#13822) @vyasr
• Return a Series from JIT GroupBy apply, rather than a DataFrame (#13820) @brandon-b-miller
• No need to dlsym EnsureS3Finalized we can call it directly (#13819) @robertmaynard
• Raise error when mixed types are being constructed (#13816) @galipremsagar
• Fix unbounded sequence issue in DataFrame constructor (#13811) @galipremsagar
• Fix Byte-Pair-Encoding usage of cuco static-map for storing merge-pairs (#13807) @davidwendt
• Fix for Parquet writer when requested pages per row is smaller than fragment size (#13806) @etseidl
• Remove hangs from trying to construct un-bounded sequences (#13799) @galipremsagar
• Bug/update libcudf to handle arrow12 changes (#13794) @robertmaynard
• Update get_arrow to arrows 12 CMake target name of arrow::xsimd (#13790) @robertmaynard
• Raise error when trying to join datetime and timedelta types with other types (#13786) @galipremsagar
• Fix negative unary operation for boolean type (#13780) @galipremsagar
• Fix contains(in) method for Series (#13779) @galipremsagar
• Fix binary operation column ordering and missing column issues (#13778) @galipremsagar
• Cast only time of day to nanos to avoid an overflow in Parquet INT96 write (#13776) @gerashegalov
• Preserve names of column object in various APIs (#13772) @galipremsagar
• Raise error on constructing an array from mixed type inputs (#13768) @galipremsagar
• Fix construction of DataFrames from dict when columns are provided (#13766) @wence-
• Provide our own Cython declaration for make_unique (#13746) @wence-

📖 Documentation

• Fix typo in docstring: metadata. (#14025) @bdice
• Fix typo in parquet/page_decode.cuh (#13849) @XinyuZeng
• Simplify Python doc configuration (#13826) @vyasr
• Update documentation to reflect recent changes in JSON reader and writer (#13791) @vuule
• Fix all warnings in Python docs (#13789) @vyasr

🚀 New Features

• Implement GroupBy.value_counts to match pandas API (#14114) @stmio
• Refactor parquet thrift reader (#14097) @etseidl
• Refactor hash_reduce_by_row (#14095) @ttnghia
• Support negative preceding/following for ROW window functions (#14093) @mythrocks
• Expose streams in public search APIs (#14034) @vyasr
• Expose streams in public replace APIs (#14010) @vyasr
• Add stream parameter to public cudf::strings::split APIs (#13997) @davidwendt
• Expose streams in public filling APIs (#13990) @vyasr
• Expose streams in public concatenate APIs (#13987) @vyasr
• Use HostMemoryAllocator in jni::allocate_host_buffer (#13975) @gerashegalov
• Enable fractional null probability for hashing benchmark (#13967) @Blonck
• Switch pylibcudf-enabled types to use enum class in Cython (#13931) @vyasr
• Rewrite DataFrame.stack to support multi level column names (#13927) @isVoid
• Add HostMemoryAllocator interface (#13924) @gerashegalov
• Global stream pool (#13922) @etseidl
• Create table_input_metadata from a table_metadata (#13920) @etseidl
• Translate column size overflow exception to JNI (#13911) @mythrocks
• Enable RLE boolean encoding for v2 Parquet files (#13886) @etseidl
• Exclude some tests from running with the compute sanitizer (#13872) @firestarman
• Expand statistics support in ORC writer (#13848) @vuule
• Register the memory mapped buffer in datasource to improve H2D throughput (#13814) @vuule
• Add cudf::strings::find function with target per row (#13808) @davidwendt
• Add minhash support for MurmurHash3_x64_128 (#13796) @davidwendt
• Remove unnecessary pointer copying in JIT GroupBy Apply (#13792) @brandon-b-miller
• Add 'poll' function to custreamz kafka consumer (#13782) @jdye64
• Support corr in GroupBy.apply through the jit engine (#13767) @shwina
• Optionally write version 2 page headers in Parquet writer (#13751) @etseidl
• Support more numeric types in Groupby.apply with engine='jit' (#13729) @brandon-b-miller
• [FEA] Add DELTA_BINARY_PACKED decoding support to Parquet reader (#13637) @etseidl
• Read FIXED_LEN_BYTE_ARRAY as binary in parquet reader (#13437) @PointKernel

🛠️ Improvements

• Reduce memory usage of as_categorical_column (#14138) @wence-
• Update to clang 16.0.6. (#14120) @bdice
• Fix type of empty Index and raise warning in Series constructor (#14116) @galipremsagar
• Add fallback matrix for nvcomp. (#14082) @bdice
• [Java] Add recoverWithNull to JSONOptions and pass to Table.readJSON (#14078) @andygrove
• Remove header tests (#14072) @ajschmidt8
• Remove debug print in a Parquet test (#14063) @vuule
• Expose stream parameter in public strings find APIs (#14060) @davidwendt
• Update doxygen to 1.9.1 (#14059) @vyasr
• Remove the mr from the base fixture (#14057) @vyasr
• Expose streams in public strings case APIs (#14056) @davidwendt
• Use cudf::make_empty_column instead of column_view constructor (#14030) @davidwendt
• Remove quadratic runtime due to accessing Frame._dtypes in loop (#14028) @wence-
• Explicitly depend on zlib in conda recipes (#14018) @wence-
• Use grid_stride for stride computations. (#13996) @bdice
• Fix an issue where casting null-array to object dtype will result in a failure (#13994) @galipremsagar
• Add tab as literal to cudf::test::to_string output (#13993) @davidwendt
• Enable codes dtype parity in pandas-compatibility mode for factorize API (#13982) @galipremsagar
• Fix CategoricalIndex ordering in Groupby.agg when pandas-compatibility mode is enabled (#13978) @galipremsagar
• Produce a fatal error if cudf is unable to find pyarrow include directory (#13976) @cwharris
• Use thread_index_type in partitioning.cu (#13973) @divyegala
• Use cudf::thread_index_type in merge.cu (#13972) @divyegala
• Use copy-pr-bot (#13970) @ajschmidt8
• Use cudf::thread_index_type in strings custom kernels (#13968) @davidwendt
• Add bytes_per_second to hash_partition benchmark (#13965) @Blonck
• Added pinned pool reservation API for java (#13964) @revans2
• Simplify wheel build scripts and allow alphas of RAPIDS dependencies (#13963) @vyasr
• Add bytes_per_second to copy_if_else benchmark (#13960) @Blonck
• Add pandas compatible output to Series.unique (#13959) @galipremsagar
• Add bytes_per_second to compiled binaryop benchmark (#13938) @Blonck
• Unpin dask and distributed for 23.10 development (#13935) @galipremsagar
• Make HostColumnVector.getRefCount public (#13934) @abellina
• Use cuco::static_set in JSON tree algorithm (#13928) @karthikeyann
• Add java API to get size of host memory needed to copy column view (#13919) @revans2
• Use cudf::size_type instead of int32 where appropriate in nvtext functions (#13915) @davidwendt
• Enable hugepage for arrow host allocations (#13914) @madsbk
• Improve performance of nvtext::edit_distance (#13912) @davidwendt
• Ensure cudf internals use pylibcudf in pure Python mode (#13909) @vyasr
• Use empty() instead of size() where possible (#13908) @vuule
• [JNI] Adds HostColumnVector.EventHandler for spillability checks (#13898) @abellina
• Return Timestamp & Timedelta for fetching scalars in DatetimeIndex & TimedeltaIndex (#13896) @galipremsagar
• Disable creation of DatetimeIndex when freq is passed to cudf.date_range (#13890) @galipremsagar
• Bring parity with pandas for datetime & timedelta comparison operations (#13877) @galipremsagar
• Change NA to NaT for datetime and timedelta types (#13868) @galipremsagar
• Raise error when astype(object) is called in pandas compatibility mode (#13862) @galipremsagar
• Fixes a performance regression in FST (#13850) @elstehle
• Set native handles to null on close in Java wrapper classes (#13818) @jlowe
• Avoid use of CUDF_EXPECTS in libcudf unit tests outside of helper functions with return values (#13812) @vuule
• Update lists::contains to experimental row comparator (#13810) @divyegala
• Reduce lists::contains dispatches for scalars (#13805) @divyegala
• Long string optimization for string column parsing in JSON reader (#13803) @karthikeyann
• Raise NotImplementedError for pd.SparseDtype (#13798) @mroeschke
• Remove the libcudf cudf::offset_type type (#13788) @davidwendt
• Move Spark-indpendent Table debug to cudf Java (#13783) @gerashegalov
• Update to Cython 3.0.0 (#13777) @vyasr
• Refactor Parquet reader handling of V2 page header info (#13775) @etseidl
• Branch 23.10 merge 23.08 (#13773) @vyasr
• Restructure JSON code to correctly reflect legacy/experimental status (#13757) @vuule
• Branch 23.10 merge 23.08 (#13753) @vyasr
• Enforce deprecations in 23.10 (#13732) @galipremsagar
• Upgrade to arrow 12 (#13728) @galipremsagar
• Refactors JSON reader's pushdown automaton (#13716) @elstehle
• Remove Arrow dependency from the datasource.hpp public header (#13698) @vuule

🔗 Links

• Development Branch
• Compare with main branch

🚨 Breaking Changes

• Fix batch processing for parquet writer (#13438) @ttnghia
• Use <NA> instead of null to match pandas. (#13415) @bdice
• Remove UNKNOWN_NULL_COUNT (#13372) @vyasr
• Remove default UNKNOWN_NULL_COUNT from cudf::column member functions (#13341) @davidwendt
• Use std::overflow_error when output would exceed column size limit (#13323) @davidwendt
• Remove null mask and null count from column_view constructors (#13311) @vyasr
• Change default value of the observed= argument in groupby to True to reflect the actual behaviour (#13296) @shwina
• Throw error if UNINITIALIZED is passed to cudf::state_null_count (#13292) @davidwendt
• Remove default null-count parameter from cudf::make_strings_column factory (#13227) @davidwendt
• Remove UNKNOWN_NULL_COUNT where it can be easily computed (#13205) @vyasr
• Update minimum Python version to Python 3.9 (#13196) @shwina
• Refactor contiguous_split API into contiguous_split.hpp (#13186) @abellina
• Cleanup Parquet chunked writer (#13094) @ttnghia
• Cleanup ORC chunked writer (#13091) @ttnghia
• Raise NotImplementedError when attempting to construct cuDF objects from timezone-aware datetimes (#13086) @shwina
• Remove deprecated regex functions from libcudf (#13067) @davidwendt
• [REVIEW] Upgrade to arrow-11 (#12757) @galipremsagar
• Implement Python drop_duplicates with cudf::stable_distinct. (#11656) @brandon-b-miller

🐛 Bug Fixes

• Fix valid count computation in offset_bitmask_binop kernel (#13489) @davidwendt
• Fix writing of ORC files with empty rowgroups (#13466) @vuule
• Fix cudf::repeat logic when count is zero (#13459) @davidwendt
• Fix batch processing for parquet writer (#13438) @ttnghia
• Fix invalid use of std::exclusive_scan in Parquet writer (#13434) @etseidl
• Patch numba if it is imported first to ensure minor version compatibility works. (#13433) @bdice
• Fix cudf::strings::replace_with_backrefs hang on empty match result (#13418) @davidwendt
• Use <NA> instead of null to match pandas. (#13415) @bdice
• Fix tokenize with non-space delimiter (#13403) @shwina
• Fix groupby head/tail for empty dataframe (#13398) @shwina
• Default to closed="right" in IntervalIndex constructor (#13394) @shwina
• Correctly reorder and reindex scan groupbys with null keys (#13389) @wence-
• Fix unused argument errors in nvcc 11.5 (#13387) @abellina
• Updates needed to work with jitify that leverages libcudacxx (#13383) @robertmaynard
• Fix unused parameter warning/error in parquet/page_data.cu (#13367) @davidwendt
• Fix page size estimation in Parquet writer (#13364) @etseidl
• Fix subword_tokenize error when input contains no tokens (#13320) @davidwendt
• Support gcc 12 as the C++ compiler (#13316) @robertmaynard
• Correctly set bitmask size in from_column_view (#13315) @wence-
• Fix approach to detecting assignment for gte/lte operators (#13285) @vyasr
• Fix parquet schema interpretation issue (#13277) @hyperbolic2346
• Fix 64bit shift bug in avro reader (#13276) @karthikeyann
• Fix unused variables/parameters in parquet/writer_impl.cu (#13263) @davidwendt
• Clean up buffers in case AssertionError (#13262) @razajafri
• Allow empty input table in ast compute_column (#13245) @wence-
• Fix structs_column_wrapper constructors to copy input column wrappers (#13243) @davidwendt
• Fix the row index stream order in ORC reader (#13242) @vuule
• Make is_decompression_disabled and is_compression_disabled thread-safe (#13240) @vuule
• Add [[maybe_unused]] to nvbench environment. (#13219) @bdice
• Fix race in ORC string dictionary creation (#13214) @revans2
• Add scalar argtypes to udf cache keys (#13194) @brandon-b-miller
• Fix unused parameter warning/error in grouped_rolling.cu (#13192) @davidwendt
• Avoid skbuild 0.17.2 which affected the cmake -DPython_LIBRARY string (#13188) @sevagh
• Fix hostdevice_vector::subspan (#13187) @ttnghia
• Use custom nvbench entry point to ensure cudf::nvbench_base_fixture usage (#13183) @robertmaynard
• Fix slice_strings to return empty strings for stop < start indices (#13178) @davidwendt
• Allow compilation with any GTest version 1.11+ (#13153) @robertmaynard
• Fix a few clang-format style check errors (#13146) @davidwendt
• [REVIEW] Fix Series and DataFrame constructors to validate index lengths (#13122) @galipremsagar
• Fix hash join when the input tables have nulls on only one side (#13120) @ttnghia
• Fix GPU_ARCHS setting in Java CMake build and CMAKE_CUDA_ARCHITECTURES in Python package build. (#13117) @davidwendt
• Adds checks to make sure json reader won't overflow (#13115) @elstehle
• Fix null_count of columns returned by chunked_parquet_reader (#13111) @vuule
• Fixes sliced list and struct column bug in JSON chunked writer (#13108) @karthikeyann
• [REVIEW] Fix missing confluent kafka version (#13101) @galipremsagar
• Use make_empty_lists_column instead of make_empty_column(type_id::LIST) (#13099) @davidwendt
• Raise NotImplementedError when attempting to construct cuDF objects from timezone-aware datetimes (#13086) @shwina
• Fix column selection read_parquet benchmarks (#13082) @vuule
• Fix bugs in iterative groupby apply algorithm (#13078) @brandon-b-miller
• Add algorithm include in data_sink.hpp (#13068) @ahendriksen
• Fix tests/identify_stream_usage.cpp (#13066) @ahendriksen
• Prevent overflow with skip_rows in ORC and Parquet readers (#13063) @vuule
• Add except declaration in Cython interface for regex_program::create (#13054) @davidwendt
• [REVIEW] Fix branch version in CI scripts (#13029) @galipremsagar
• Fix OOB memory access in CSV reader when reading without NA values (#13011) @vuule
• Fix read_avro() skip_rows and num_rows. (#12912) @tpn
• Purge nonempty nulls from byte_cast list outputs. (#11971) @bdice
• Fix consumption of CPU-backed interchange protocol dataframes (#11392) @shwina

🚀 New Features

• Remove numba JIT kernel usage from dataframe copy tests (#13385) @brandon-b-miller
• Add JNI for ORC/Parquet writer compression statistics (#13376) @ttnghia
• Use _compile_or_get in JIT groupby apply (#13350) @brandon-b-miller
• cuDF numba cuda 12 updates (#13337) @brandon-b-miller
• Add tz_convert method to convert between timestamps (#13328) @shwina
• Optionally return compression statistics from ORC and Parquet writers (#13294) @vuule
• Support the case=False argument to str.contains (#13290) @shwina
• Add an event handler for ColumnVector.close (#13279) @abellina
• JNI api for cudf::chunked_pack (#13278) @abellina
• Implement a chunked_pack API (#13260) @abellina
• Update cudf recipes to use GTest version to >=1.13 (#13207) @robertmaynard
• JNI changes for range-extents in window functions. (#13199) @mythrocks
• Add support for DatetimeTZDtype and tz_localize (#13163) @shwina
• Add IS_NULL operator to AST (#13145) @karthikeyann
• STRING order-by column for RANGE window functions (#13143) @mythrocks
• Update contains_table to experimental row hasher and equality comparator (#13119) @divyegala
• Automatically select GroupBy.apply algorithm based on if the UDF is jittable (#13113) @brandon-b-miller
• Refactor Parquet chunked writer (#13076) @ttnghia
• Add Python bindings for string literal support in AST (#13073) @karthikeyann
• Add Java bindings for string literal support in AST (#13072) @karthikeyann
• Add string scalar support in AST (#13061) @karthikeyann
• Log cuIO warnings using the libcudf logger (#13043) @vuule
• Update mixed_join to use experimental row hasher and comparator (#13028) @divyegala
• Support structs of lists in row lexicographic comparator (#13005) @ttnghia
• Adding hostdevice_span that is a span createable from hostdevice_vector (#12981) @hyperbolic2346
• Add nvtext::minhash function (#12961) @davidwendt
• Support lists of structs in row lexicographic comparator (#12953) @ttnghia
• Update join to use experimental row hasher and comparator (#12787) @divyegala
• Implement Python drop_duplicates with cudf::stable_distinct. (#11656) @brandon-b-miller

🛠️ Improvements

• Bump typing_extensions minimum version to 4.0.0 (#13618) @shwina
• Drop extraneous dependencies from cudf conda recipe. (#13406) @bdice
• Handle some corner-cases in indexing with boolean masks (#13402) @wence-
• Add cudf::stable_distinct public API, tests, and benchmarks. (#13392) @bdice
• [JNI] Pass this ColumnVector to the onClosed event handler (#13386) @abellina
• Fix JNI method with mismatched parameter list (#13384) @ttnghia
• Split up experimental_row_operator_tests.cu to improve its compile time (#13382) @davidwendt
• Deprecate cudf::strings::slice_strings APIs that accept delimiters (#13373) @davidwendt
• Remove UNKNOWN_NULL_COUNT (#13372) @vyasr
• Move some nvtext benchmarks to nvbench (#13368) @davidwendt
• run docs nightly too (#13366) @AyodeAwe
• Add warning for default dtype parameter in get_dummies (#13365) @galipremsagar
• Add log messages about kvikIO compatibility mode (#13363) @vuule
• Switch back to using primary shared-action-workflows branch (#13362) @vyasr
• Deprecate StringIndex and use Index instead (#13361) @galipremsagar
• Ensure columns have valid null counts in CUDF JNI. (#13355) @mythrocks
• Expunge most uses of TypeVar(bound="Foo") (#13346) @wence-
• Remove all references to UNKNOWN_NULL_COUNT in Python (#13345) @vyasr
• Improve distinct_count with cuco::static_set (#13343) @PointKernel
• Fix contiguous_split performance (#13342) @ttnghia
• Remove default UNKNOWN_NULL_COUNT from cudf::column member functions (#13341) @davidwendt
• Update mypy to 1.3 (#13340) @wence-
• [Java] Purge non-empty nulls when setting validity (#13335) @razajafri
• Add row-wise filtering step to read_parquet (#13334) @rjzamora
• Performance improvement for nvtext::minhash (#13333) @davidwendt
• Fix some libcudf functions to set the null count on returning columns (#13331) @davidwendt
• Change cudf::detail::concatenate_masks to return null-count (#13330) @davidwendt
• Move meta calculation in dask_cudf.read_parquet (#13327) @rjzamora
• Changes to support Numpy >= 1.24 (#13325) @shwina
• Use std::overflow_error when output would exceed column size limit (#13323) @davidwendt
• Clean up distinct_count benchmark (#13321) @PointKernel
• Fix gtest pinning to 1.13.0. (#13319) @bdice
• Remove null mask and null count from column_view constructors (#13311) @vyasr
• Address feedback from 13289 (#13306) @vyasr
• Change default value of the observed= argument in groupby to True to reflect the actual behaviour (#13296) @shwina
• First check for BaseDtype when infering the data type of an arbitrary object (#13295) @shwina
• Throw error if UNINITIALIZED is passed to cudf::state_null_count (#13292) @davidwendt
• Support CUDA 12.0 for pip wheels (#13289) @divyegala
• Refactor transform_lists_of_structs in row_operators.cu (#13288) @ttnghia
• Branch 23.06 merge 23.04 (#13286) @vyasr
• Update cupy dependency (#13284) @vyasr
• Performance improvement in cudf::strings::join_strings for long strings (#13283) @davidwendt
• Fix unused variables and functions (#13275) @karthikeyann
• Fix integer overflow in partition scatter_map construction (#13272) @wence-
• Numba 0.57 compatibility fixes (#13271) @gmarkall
• Performance improvement in cudf::strings::all_characters_of_type (#13259) @davidwendt
• Remove default null-count parameter from some libcudf factory functions (#13258) @davidwendt
• Roll our own generate_string() because mimesis' has gone away (#13257) @shwina
• Build wheels using new single image workflow (#13249) @vyasr
• Enable sccache hits from local builds (#13248) @AyodeAwe
• Revert to branch-23.06 for shared-action-workflows (#13247) @shwina
• Introduce pandas_compatible option in cudf (#13241) @galipremsagar
• Add metadata_builder helper class (#13232) @abellina
• Use libkvikio conda packages in libcudf, add explicit libcufile dependency. (#13231) @bdice
• Remove default null-count parameter from cudf::make_strings_column factory (#13227) @davidwendt
• Performance improvement in cudf::strings::find/rfind for long strings (#13226) @davidwendt
• Add chunked reader benchmark (#13223) @SrikarVanavasam
• Set the null count in output columns in the CSV reader (#13221) @vuule
• Skip Non-Empty nulls tests for the nightly build just like we skip CuFileTest and CudaFatalTest (#13213) @razajafri
• Fix string_scalar stream usage in write_json.cu (#13212) @davidwendt
• Use canonicalized name for dlopen'd libraries (libcufile) (#13210) @shwina
• Refactor pinned memory vector and ORC+Parquet writers (#13206) @ttnghia
• Remove UNKNOWN_NULL_COUNT where it can be easily computed (#13205) @vyasr
• Optimization to decoding of parquet level streams (#13203) @nvdbaranec
• Clean up and simplify gpuDecideCompression (#13202) @vuule
• Use std::array for a statically sized vector in create_serialized_trie (#13201) @vuule
• Update minimum Python version to Python 3.9 (#13196) @shwina
• Refactor contiguous_split API into contiguous_split.hpp (#13186) @abellina
• Remove usage of rapids-get-rapids-version-from-git (#13184) @jjacobelli
• Enable mixed-dtype decimal/scalar binary operations (#13171) @shwina
• Split up unique_count.cu to improve build time (#13169) @davidwendt
• Use nvtx3 includes in string examples. (#13165) @bdice
• Change some .cu gtest files to .cpp (#13155) @davidwendt
• Remove wheel pytest verbosity (#13151) @sevagh
• Fix libcudf to always pass null-count to set_null_mask (#13149) @davidwendt
• Fix gtests to always pass null-count to set_null_mask calls (#13148) @davidwendt
• Optimize JSON writer (#13144) @karthikeyann
• Performance improvement for libcudf upper/lower conversion for long strings (#13142) @davidwendt
• [REVIEW] Deprecate pad and backfill methods (#13140) @galipremsagar
• Use CTAD instead of functions in ProtobufReader (#13135) @vuule
• Remove more instances of UNKNOWN_NULL_COUNT (#13134) @vyasr
• Update clang-format to 16.0.1. (#13133) @bdice
• Add log messages about cuIO's nvCOMP and cuFile use (#13132) @vuule
• Branch 23.06 merge 23.04 (#13131) @vyasr
• Compute null-count in cudf::detail::slice (#13124) @davidwendt
• Use ARC V2 self-hosted runners for GPU jobs (#13123) @jjacobelli
• Set null-count in linked_column_view conversion operator (#13121) @davidwendt
• Adding ifdefs around nvcc-specific pragmas (#13110) @hyperbolic2346
• Add null-count parameter to json experimental parse_data utility (#13107) @davidwendt
• Remove uses-setup-env-vars (#13105) @vyasr
• Explicitly compute null count in concatenate APIs (#13104) @vyasr
• Replace unnecessary uses of UNKNOWN_NULL_COUNT (#13102) @vyasr
• Performance improvement for cudf::string_view::find functions (#13100) @davidwendt
• Use .element() instead of .data() for window range calculations (#13095) @mythrocks
• Cleanup Parquet chunked writer (#13094) @ttnghia
• Fix unused variable error/warning in page_data.cu (#13093) @davidwendt
• Cleanup ORC chunked writer (#13091) @ttnghia
• Remove using namespace cudf; from libcudf gtests source (#13089) @davidwendt
• Change cudf::test::make_null_mask to also return null-count (#13081) @davidwendt
• Resolved automerger from branch-23.04 to branch-23.06 (#13080) @galipremsagar
• Assert for non-empty nulls (#13071) @razajafri
• Remove deprecated regex functions from libcudf (#13067) @davidwendt
• Refactor cudf::detail::sorted_order (#13062) @ttnghia
• Improve performance of slice_strings for long strings (#13057) @davidwendt
• Reduce shared memory usage in gpuComputePageSizes by 50% (#13047) @nvdbaranec
• [REVIEW] Add notes to performance comparisons notebook (#13044) @galipremsagar
• Enable binary operations between scalars and columns of differing decimal types (#13034) @shwina
• Remove console output from some libcudf gtests (#13027) @davidwendt
• Remove underscore in build string. (#13025) @bdice
• Bump up JNI version 23.06.0-SNAPSHOT (#13021) @pxLi
• Fix auto merger from branch-23.04 to branch-23.06 (#13009) @galipremsagar
• Reduce peak memory use when writing compressed ORC files. (#12963) @vuule
• Add nvtx annotatations to groupby methods (#12941) @wence-
• Compute column sizes in Parquet preprocess with single kernel (#12931) @SrikarVanavasam
• Add Python bindings for time zone data (TZiF) reader (#12826) @shwina
• Optimize set-like operations (#12769) @ttnghia
• [REVIEW] Upgrade to arrow-11 (#12757) @galipremsagar
• Add empty test files for test reorganization (#12288) @shwina

🚨 Breaking Changes

• Fix batch processing for parquet writer (#13438) @ttnghia
• Use <NA> instead of null to match pandas. (#13415) @bdice
• Remove UNKNOWN_NULL_COUNT (#13372) @vyasr
• Remove default UNKNOWN_NULL_COUNT from cudf::column member functions (#13341) @davidwendt
• Use std::overflow_error when output would exceed column size limit (#13323) @davidwendt
• Remove null mask and null count from column_view constructors (#13311) @vyasr
• Change default value of the observed= argument in groupby to True to reflect the actual behaviour (#13296) @shwina
• Throw error if UNINITIALIZED is passed to cudf::state_null_count (#13292) @davidwendt
• Remove default null-count parameter from cudf::make_strings_column factory (#13227) @davidwendt
• Remove UNKNOWN_NULL_COUNT where it can be easily computed (#13205) @vyasr
• Update minimum Python version to Python 3.9 (#13196) @shwina
• Refactor contiguous_split API into contiguous_split.hpp (#13186) @abellina
• Cleanup Parquet chunked writer (#13094) @ttnghia
• Cleanup ORC chunked writer (#13091) @ttnghia
• Raise NotImplementedError when attempting to construct cuDF objects from timezone-aware datetimes (#13086) @shwina
• Remove deprecated regex functions from libcudf (#13067) @davidwendt
• [REVIEW] Upgrade to arrow-11 (#12757) @galipremsagar
• Implement Python drop_duplicates with cudf::stable_distinct. (#11656) @brandon-b-miller

🐛 Bug Fixes

• Fix valid count computation in offset_bitmask_binop kernel (#13489) @davidwendt
• Fix writing of ORC files with empty rowgroups (#13466) @vuule
• Fix cudf::repeat logic when count is zero (#13459) @davidwendt
• Fix batch processing for parquet writer (#13438) @ttnghia
• Fix invalid use of std::exclusive_scan in Parquet writer (#13434) @etseidl
• Patch numba if it is imported first to ensure minor version compatibility works. (#13433) @bdice
• Fix cudf::strings::replace_with_backrefs hang on empty match result (#13418) @davidwendt
• Use <NA> instead of null to match pandas. (#13415) @bdice
• Fix tokenize with non-space delimiter (#13403) @shwina
• Fix groupby head/tail for empty dataframe (#13398) @shwina
• Default to closed="right" in IntervalIndex constructor (#13394) @shwina
• Correctly reorder and reindex scan groupbys with null keys (#13389) @wence-
• Fix unused argument errors in nvcc 11.5 (#13387) @abellina
• Updates needed to work with jitify that leverages libcudacxx (#13383) @robertmaynard
• Fix unused parameter warning/error in parquet/page_data.cu (#13367) @davidwendt
• Fix page size estimation in Parquet writer (#13364) @etseidl
• Fix subword_tokenize error when input contains no tokens (#13320) @davidwendt
• Support gcc 12 as the C++ compiler (#13316) @robertmaynard
• Correctly set bitmask size in from_column_view (#13315) @wence-
• Fix approach to detecting assignment for gte/lte operators (#13285) @vyasr
• Fix parquet schema interpretation issue (#13277) @hyperbolic2346
• Fix 64bit shift bug in avro reader (#13276) @karthikeyann
• Fix unused variables/parameters in parquet/writer_impl.cu (#13263) @davidwendt
• Clean up buffers in case AssertionError (#13262) @razajafri
• Allow empty input table in ast compute_column (#13245) @wence-
• Fix structs_column_wrapper constructors to copy input column wrappers (#13243) @davidwendt
• Fix the row index stream order in ORC reader (#13242) @vuule
• Make is_decompression_disabled and is_compression_disabled thread-safe (#13240) @vuule
• Add [[maybe_unused]] to nvbench environment. (#13219) @bdice
• Fix race in ORC string dictionary creation (#13214) @revans2
• Add scalar argtypes to udf cache keys (#13194) @brandon-b-miller
• Fix unused parameter warning/error in grouped_rolling.cu (#13192) @davidwendt
• Avoid skbuild 0.17.2 which affected the cmake -DPython_LIBRARY string (#13188) @sevagh
• Fix hostdevice_vector::subspan (#13187) @ttnghia
• Use custom nvbench entry point to ensure cudf::nvbench_base_fixture usage (#13183) @robertmaynard
• Fix slice_strings to return empty strings for stop < start indices (#13178) @davidwendt
• Allow compilation with any GTest version 1.11+ (#13153) @robertmaynard
• Fix a few clang-format style check errors (#13146) @davidwendt
• [REVIEW] Fix Series and DataFrame constructors to validate index lengths (#13122) @galipremsagar
• Fix hash join when the input tables have nulls on only one side (#13120) @ttnghia
• Fix GPU_ARCHS setting in Java CMake build and CMAKE_CUDA_ARCHITECTURES in Python package build. (#13117) @davidwendt
• Adds checks to make sure json reader won't overflow (#13115) @elstehle
• Fix null_count of columns returned by chunked_parquet_reader (#13111) @vuule
• Fixes sliced list and struct column bug in JSON chunked writer (#13108) @karthikeyann
• [REVIEW] Fix missing confluent kafka version (#13101) @galipremsagar
• Use make_empty_lists_column instead of make_empty_column(type_id::LIST) (#13099) @davidwendt
• Raise NotImplementedError when attempting to construct cuDF objects from timezone-aware datetimes (#13086) @shwina
• Fix column selection read_parquet benchmarks (#13082) @vuule
• Fix bugs in iterative groupby apply algorithm (#13078) @brandon-b-miller
• Add algorithm include in data_sink.hpp (#13068) @ahendriksen
• Fix tests/identify_stream_usage.cpp (#13066) @ahendriksen
• Prevent overflow with skip_rows in ORC and Parquet readers (#13063) @vuule
• Add except declaration in Cython interface for regex_program::create (#13054) @davidwendt
• [REVIEW] Fix branch version in CI scripts (#13029) @galipremsagar
• Fix OOB memory access in CSV reader when reading without NA values (#13011) @vuule
• Fix read_avro() skip_rows and num_rows. (#12912) @tpn
• Purge nonempty nulls from byte_cast list outputs. (#11971) @bdice
• Fix consumption of CPU-backed interchange protocol dataframes (#11392) @shwina

🚀 New Features

• Remove numba JIT kernel usage from dataframe copy tests (#13385) @brandon-b-miller
• Add JNI for ORC/Parquet writer compression statistics (#13376) @ttnghia
• Use _compile_or_get in JIT groupby apply (#13350) @brandon-b-miller
• cuDF numba cuda 12 updates (#13337) @brandon-b-miller
• Add tz_convert method to convert between timestamps (#13328) @shwina
• Optionally return compression statistics from ORC and Parquet writers (#13294) @vuule
• Support the case=False argument to str.contains (#13290) @shwina
• Add an event handler for ColumnVector.close (#13279) @abellina
• JNI api for cudf::chunked_pack (#13278) @abellina
• Implement a chunked_pack API (#13260) @abellina
• Update cudf recipes to use GTest version to >=1.13 (#13207) @robertmaynard
• JNI changes for range-extents in window functions. (#13199) @mythrocks
• Add support for DatetimeTZDtype and tz_localize (#13163) @shwina
• Add IS_NULL operator to AST (#13145) @karthikeyann
• STRING order-by column for RANGE window functions (#13143) @mythrocks
• Update contains_table to experimental row hasher and equality comparator (#13119) @divyegala
• Automatically select GroupBy.apply algorithm based on if the UDF is jittable (#13113) @brandon-b-miller
• Refactor Parquet chunked writer (#13076) @ttnghia
• Add Python bindings for string literal support in AST (#13073) @karthikeyann
• Add Java bindings for string literal support in AST (#13072) @karthikeyann
• Add string scalar support in AST (#13061) @karthikeyann
• Log cuIO warnings using the libcudf logger (#13043) @vuule
• Update mixed_join to use experimental row hasher and comparator (#13028) @divyegala
• Support structs of lists in row lexicographic comparator (#13005) @ttnghia
• Adding hostdevice_span that is a span createable from hostdevice_vector (#12981) @hyperbolic2346
• Add nvtext::minhash function (#12961) @davidwendt
• Support lists of structs in row lexicographic comparator (#12953) @ttnghia
• Update join to use experimental row hasher and comparator (#12787) @divyegala
• Implement Python drop_duplicates with cudf::stable_distinct. (#11656) @brandon-b-miller

🛠️ Improvements

• Bump typing_extensions minimum version to 4.0.0 (#13618) @shwina
• Drop extraneous dependencies from cudf conda recipe. (#13406) @bdice
• Handle some corner-cases in indexing with boolean masks (#13402) @wence-
• Add cudf::stable_distinct public API, tests, and benchmarks. (#13392) @bdice
• [JNI] Pass this ColumnVector to the onClosed event handler (#13386) @abellina
• Fix JNI method with mismatched parameter list (#13384) @ttnghia
• Split up experimental_row_operator_tests.cu to improve its compile time (#13382) @davidwendt
• Deprecate cudf::strings::slice_strings APIs that accept delimiters (#13373) @davidwendt
• Remove UNKNOWN_NULL_COUNT (#13372) @vyasr
• Move some nvtext benchmarks to nvbench (#13368) @davidwendt
• run docs nightly too (#13366) @AyodeAwe
• Add warning for default dtype parameter in get_dummies (#13365) @galipremsagar
• Add log messages about kvikIO compatibility mode (#13363) @vuule
• Switch back to using primary shared-action-workflows branch (#13362) @vyasr
• Deprecate StringIndex and use Index instead (#13361) @galipremsagar
• Ensure columns have valid null counts in CUDF JNI. (#13355) @mythrocks
• Expunge most uses of TypeVar(bound="Foo") (#13346) @wence-
• Remove all references to UNKNOWN_NULL_COUNT in Python (#13345) @vyasr
• Improve distinct_count with cuco::static_set (#13343) @PointKernel
• Fix contiguous_split performance (#13342) @ttnghia
• Remove default UNKNOWN_NULL_COUNT from cudf::column member functions (#13341) @davidwendt
• Update mypy to 1.3 (#13340) @wence-
• [Java] Purge non-empty nulls when setting validity (#13335) @razajafri
• Add row-wise filtering step to read_parquet (#13334) @rjzamora
• Performance improvement for nvtext::minhash (#13333) @davidwendt
• Fix some libcudf functions to set the null count on returning columns (#13331) @davidwendt
• Change cudf::detail::concatenate_masks to return null-count (#13330) @davidwendt
• Move meta calculation in dask_cudf.read_parquet (#13327) @rjzamora
• Changes to support Numpy >= 1.24 (#13325) @shwina
• Use std::overflow_error when output would exceed column size limit (#13323) @davidwendt
• Clean up distinct_count benchmark (#13321) @PointKernel
• Fix gtest pinning to 1.13.0. (#13319) @bdice
• Remove null mask and null count from column_view constructors (#13311) @vyasr
• Address feedback from 13289 (#13306) @vyasr
• Change default value of the observed= argument in groupby to True to reflect the actual behaviour (#13296) @shwina
• First check for BaseDtype when infering the data type of an arbitrary object (#13295) @shwina
• Throw error if UNINITIALIZED is passed to cudf::state_null_count (#13292) @davidwendt
• Support CUDA 12.0 for pip wheels (#13289) @divyegala
• Refactor transform_lists_of_structs in row_operators.cu (#13288) @ttnghia
• Branch 23.06 merge 23.04 (#13286) @vyasr
• Update cupy dependency (#13284) @vyasr
• Performance improvement in cudf::strings::join_strings for long strings (#13283) @davidwendt
• Fix unused variables and functions (#13275) @karthikeyann
• Fix integer overflow in partition scatter_map construction (#13272) @wence-
• Numba 0.57 compatibility fixes (#13271) @gmarkall
• Performance improvement in cudf::strings::all_characters_of_type (#13259) @davidwendt
• Remove default null-count parameter from some libcudf factory functions (#13258) @davidwendt
• Roll our own generate_string() because mimesis' has gone away (#13257) @shwina
• Build wheels using new single image workflow (#13249) @vyasr
• Enable sccache hits from local builds (#13248) @AyodeAwe
• Revert to branch-23.06 for shared-action-workflows (#13247) @shwina
• Introduce pandas_compatible option in cudf (#13241) @galipremsagar
• Add metadata_builder helper class (#13232) @abellina
• Use libkvikio conda packages in libcudf, add explicit libcufile dependency. (#13231) @bdice
• Remove default null-count parameter from cudf::make_strings_column factory (#13227) @davidwendt
• Performance improvement in cudf::strings::find/rfind for long strings (#13226) @davidwendt
• Add chunked reader benchmark (#13223) @SrikarVanavasam
• Set the null count in output columns in the CSV reader (#13221) @vuule
• Skip Non-Empty nulls tests for the nightly build just like we skip CuFileTest and CudaFatalTest (#13213) @razajafri
• Fix string_scalar stream usage in write_json.cu (#13212) @davidwendt
• Use canonicalized name for dlopen'd libraries (libcufile) (#13210) @shwina
• Refactor pinned memory vector and ORC+Parquet writers (#13206) @ttnghia
• Remove UNKNOWN_NULL_COUNT where it can be easily computed (#13205) @vyasr
• Optimization to decoding of parquet level streams (#13203) @nvdbaranec
• Clean up and simplify gpuDecideCompression (#13202) @vuule
• Use std::array for a statically sized vector in create_serialized_trie (#13201) @vuule
• Update minimum Python version to Python 3.9 (#13196) @shwina
• Refactor contiguous_split API into contiguous_split.hpp (#13186) @abellina
• Remove usage of rapids-get-rapids-version-from-git (#13184) @jjacobelli
• Enable mixed-dtype decimal/scalar binary operations (#13171) @shwina
• Split up unique_count.cu to improve build time (#13169) @davidwendt
• Use nvtx3 includes in string examples. (#13165) @bdice
• Change some .cu gtest files to .cpp (#13155) @davidwendt
• Remove wheel pytest verbosity (#13151) @sevagh
• Fix libcudf to always pass null-count to set_null_mask (#13149) @davidwendt
• Fix gtests to always pass null-count to set_null_mask calls (#13148) @davidwendt
• Optimize JSON writer (#13144) @karthikeyann
• Performance improvement for libcudf upper/lower conversion for long strings (#13142) @davidwendt
• [REVIEW] Deprecate pad and backfill methods (#13140) @galipremsagar
• Use CTAD instead of functions in ProtobufReader (#13135) @vuule
• Remove more instances of UNKNOWN_NULL_COUNT (#13134) @vyasr
• Update clang-format to 16.0.1. (#13133) @bdice
• Add log messages about cuIO's nvCOMP and cuFile use (#13132) @vuule
• Branch 23.06 merge 23.04 (#13131) @vyasr
• Compute null-count in cudf::detail::slice (#13124) @davidwendt
• Use ARC V2 self-hosted runners for GPU jobs (#13123) @jjacobelli
• Set null-count in linked_column_view conversion operator (#13121) @davidwendt
• Adding ifdefs around nvcc-specific pragmas (#13110) @hyperbolic2346
• Add null-count parameter to json experimental parse_data utility (#13107) @davidwendt
• Remove uses-setup-env-vars (#13105) @vyasr
• Explicitly compute null count in concatenate APIs (#13104) @vyasr
• Replace unnecessary uses of UNKNOWN_NULL_COUNT (#13102) @vyasr
• Performance improvement for cudf::string_view::find functions (#13100) @davidwendt
• Use .element() instead of .data() for window range calculations (#13095) @mythrocks
• Cleanup Parquet chunked writer (#13094) @ttnghia
• Fix unused variable error/warning in page_data.cu (#13093) @davidwendt
• Cleanup ORC chunked writer (#13091) @ttnghia
• Remove using namespace cudf; from libcudf gtests source (#13089) @davidwendt
• Change cudf::test::make_null_mask to also return null-count (#13081) @davidwendt
• Resolved automerger from branch-23.04 to branch-23.06 (#13080) @galipremsagar
• Assert for non-empty nulls (#13071) @razajafri
• Remove deprecated regex functions from libcudf (#13067) @davidwendt
• Refactor cudf::detail::sorted_order (#13062) @ttnghia
• Improve performance of slice_strings for long strings (#13057) @davidwendt
• Reduce shared memory usage in gpuComputePageSizes by 50% (#13047) @nvdbaranec
• [REVIEW] Add notes to performance comparisons notebook (#13044) @galipremsagar
• Enable binary operations between scalars and columns of differing decimal types (#13034) @shwina
• Remove console output from some libcudf gtests (#13027) @davidwendt
• Remove underscore in build string. (#13025) @bdice
• Bump up JNI version 23.06.0-SNAPSHOT (#13021) @pxLi
• Fix auto merger from branch-23.04 to branch-23.06 (#13009) @galipremsagar
• Reduce peak memory use when writing compressed ORC files. (#12963) @vuule
• Add nvtx annotatations to groupby methods (#12941) @wence-
• Compute column sizes in Parquet preprocess with single kernel (#12931) @SrikarVanavasam
• Add Python bindings for time zone data (TZiF) reader (#12826) @shwina
• Optimize set-like operations (#12769) @ttnghia
• [REVIEW] Upgrade to arrow-11 (#12757) @galipremsagar
• Add empty test files for test reorganization (#12288) @shwina

🚨 Breaking Changes

• Fix batch processing for parquet writer (#13438) @ttnghia
• Use <NA> instead of null to match pandas. (#13415) @bdice
• Remove UNKNOWN_NULL_COUNT (#13372) @vyasr
• Remove default UNKNOWN_NULL_COUNT from cudf::column member functions (#13341) @davidwendt
• Use std::overflow_error when output would exceed column size limit (#13323) @davidwendt
• Remove null mask and null count from column_view constructors (#13311) @vyasr
• Change default value of the observed= argument in groupby to True to reflect the actual behaviour (#13296) @shwina
• Throw error if UNINITIALIZED is passed to cudf::state_null_count (#13292) @davidwendt
• Remove default null-count parameter from cudf::make_strings_column factory (#13227) @davidwendt
• Remove UNKNOWN_NULL_COUNT where it can be easily computed (#13205) @vyasr
• Update minimum Python version to Python 3.9 (#13196) @shwina
• Refactor contiguous_split API into contiguous_split.hpp (#13186) @abellina
• Cleanup Parquet chunked writer (#13094) @ttnghia
• Cleanup ORC chunked writer (#13091) @ttnghia
• Raise NotImplementedError when attempting to construct cuDF objects from timezone-aware datetimes (#13086) @shwina
• Remove deprecated regex functions from libcudf (#13067) @davidwendt
• [REVIEW] Upgrade to arrow-11 (#12757) @galipremsagar
• Implement Python drop_duplicates with cudf::stable_distinct. (#11656) @brandon-b-miller

🐛 Bug Fixes

• Fix valid count computation in offset_bitmask_binop kernel (#13489) @davidwendt
• Fix writing of ORC files with empty rowgroups (#13466) @vuule
• Fix cudf::repeat logic when count is zero (#13459) @davidwendt
• Fix batch processing for parquet writer (#13438) @ttnghia
• Fix invalid use of std::exclusive_scan in Parquet writer (#13434) @etseidl
• Patch numba if it is imported first to ensure minor version compatibility works. (#13433) @bdice
• Fix cudf::strings::replace_with_backrefs hang on empty match result (#13418) @davidwendt
• Use <NA> instead of null to match pandas. (#13415) @bdice
• Fix tokenize with non-space delimiter (#13403) @shwina
• Fix groupby head/tail for empty dataframe (#13398) @shwina
• Default to closed="right" in IntervalIndex constructor (#13394) @shwina
• Correctly reorder and reindex scan groupbys with null keys (#13389) @wence-
• Fix unused argument errors in nvcc 11.5 (#13387) @abellina
• Updates needed to work with jitify that leverages libcudacxx (#13383) @robertmaynard
• Fix unused parameter warning/error in parquet/page_data.cu (#13367) @davidwendt
• Fix page size estimation in Parquet writer (#13364) @etseidl
• Fix subword_tokenize error when input contains no tokens (#13320) @davidwendt
• Support gcc 12 as the C++ compiler (#13316) @robertmaynard
• Correctly set bitmask size in from_column_view (#13315) @wence-
• Fix approach to detecting assignment for gte/lte operators (#13285) @vyasr
• Fix parquet schema interpretation issue (#13277) @hyperbolic2346
• Fix 64bit shift bug in avro reader (#13276) @karthikeyann
• Fix unused variables/parameters in parquet/writer_impl.cu (#13263) @davidwendt
• Clean up buffers in case AssertionError (#13262) @razajafri
• Allow empty input table in ast compute_column (#13245) @wence-
• Fix structs_column_wrapper constructors to copy input column wrappers (#13243) @davidwendt
• Fix the row index stream order in ORC reader (#13242) @vuule
• Make is_decompression_disabled and is_compression_disabled thread-safe (#13240) @vuule
• Add [[maybe_unused]] to nvbench environment. (#13219) @bdice
• Fix race in ORC string dictionary creation (#13214) @revans2
• Add scalar argtypes to udf cache keys (#13194) @brandon-b-miller
• Fix unused parameter warning/error in grouped_rolling.cu (#13192) @davidwendt
• Avoid skbuild 0.17.2 which affected the cmake -DPython_LIBRARY string (#13188) @sevagh
• Fix hostdevice_vector::subspan (#13187) @ttnghia
• Use custom nvbench entry point to ensure cudf::nvbench_base_fixture usage (#13183) @robertmaynard
• Fix slice_strings to return empty strings for stop < start indices (#13178) @davidwendt
• Allow compilation with any GTest version 1.11+ (#13153) @robertmaynard
• Fix a few clang-format style check errors (#13146) @davidwendt
• [REVIEW] Fix Series and DataFrame constructors to validate index lengths (#13122) @galipremsagar
• Fix hash join when the input tables have nulls on only one side (#13120) @ttnghia
• Fix GPU_ARCHS setting in Java CMake build and CMAKE_CUDA_ARCHITECTURES in Python package build. (#13117) @davidwendt
• Adds checks to make sure json reader won't overflow (#13115) @elstehle
• Fix null_count of columns returned by chunked_parquet_reader (#13111) @vuule
• Fixes sliced list and struct column bug in JSON chunked writer (#13108) @karthikeyann
• [REVIEW] Fix missing confluent kafka version (#13101) @galipremsagar
• Use make_empty_lists_column instead of make_empty_column(type_id::LIST) (#13099) @davidwendt
• Raise NotImplementedError when attempting to construct cuDF objects from timezone-aware datetimes (#13086) @shwina
• Fix column selection read_parquet benchmarks (#13082) @vuule
• Fix bugs in iterative groupby apply algorithm (#13078) @brandon-b-miller
• Add algorithm include in data_sink.hpp (#13068) @ahendriksen
• Fix tests/identify_stream_usage.cpp (#13066) @ahendriksen
• Prevent overflow with skip_rows in ORC and Parquet readers (#13063) @vuule
• Add except declaration in Cython interface for regex_program::create (#13054) @davidwendt
• [REVIEW] Fix branch version in CI scripts (#13029) @galipremsagar
• Fix OOB memory access in CSV reader when reading without NA values (#13011) @vuule
• Fix read_avro() skip_rows and num_rows. (#12912) @tpn
• Purge nonempty nulls from byte_cast list outputs. (#11971) @bdice
• Fix consumption of CPU-backed interchange protocol dataframes (#11392) @shwina

🚀 New Features

• Remove numba JIT kernel usage from dataframe copy tests (#13385) @brandon-b-miller
• Add JNI for ORC/Parquet writer compression statistics (#13376) @ttnghia
• Use _compile_or_get in JIT groupby apply (#13350) @brandon-b-miller
• cuDF numba cuda 12 updates (#13337) @brandon-b-miller
• Add tz_convert method to convert between timestamps (#13328) @shwina
• Optionally return compression statistics from ORC and Parquet writers (#13294) @vuule
• Support the case=False argument to str.contains (#13290) @shwina
• Add an event handler for ColumnVector.close (#13279) @abellina
• JNI api for cudf::chunked_pack (#13278) @abellina
• Implement a chunked_pack API (#13260) @abellina
• Update cudf recipes to use GTest version to >=1.13 (#13207) @robertmaynard
• JNI changes for range-extents in window functions. (#13199) @mythrocks
• Add support for DatetimeTZDtype and tz_localize (#13163) @shwina
• Add IS_NULL operator to AST (#13145) @karthikeyann
• STRING order-by column for RANGE window functions (#13143) @mythrocks
• Update contains_table to experimental row hasher and equality comparator (#13119) @divyegala
• Automatically select GroupBy.apply algorithm based on if the UDF is jittable (#13113) @brandon-b-miller
• Refactor Parquet chunked writer (#13076) @ttnghia
• Add Python bindings for string literal support in AST (#13073) @karthikeyann
• Add Java bindings for string literal support in AST (#13072) @karthikeyann
• Add string scalar support in AST (#13061) @karthikeyann
• Log cuIO warnings using the libcudf logger (#13043) @vuule
• Update mixed_join to use experimental row hasher and comparator (#13028) @divyegala
• Support structs of lists in row lexicographic comparator (#13005) @ttnghia
• Adding hostdevice_span that is a span createable from hostdevice_vector (#12981) @hyperbolic2346
• Add nvtext::minhash function (#12961) @davidwendt
• Support lists of structs in row lexicographic comparator (#12953) @ttnghia
• Update join to use experimental row hasher and comparator (#12787) @divyegala
• Implement Python drop_duplicates with cudf::stable_distinct. (#11656) @brandon-b-miller

🛠️ Improvements

• Drop extraneous dependencies from cudf conda recipe. (#13406) @bdice
• Handle some corner-cases in indexing with boolean masks (#13402) @wence-
• Add cudf::stable_distinct public API, tests, and benchmarks. (#13392) @bdice
• [JNI] Pass this ColumnVector to the onClosed event handler (#13386) @abellina
• Fix JNI method with mismatched parameter list (#13384) @ttnghia
• Split up experimental_row_operator_tests.cu to improve its compile time (#13382) @davidwendt
• Deprecate cudf::strings::slice_strings APIs that accept delimiters (#13373) @davidwendt
• Remove UNKNOWN_NULL_COUNT (#13372) @vyasr
• Move some nvtext benchmarks to nvbench (#13368) @davidwendt
• run docs nightly too (#13366) @AyodeAwe
• Add warning for default dtype parameter in get_dummies (#13365) @galipremsagar
• Add log messages about kvikIO compatibility mode (#13363) @vuule
• Switch back to using primary shared-action-workflows branch (#13362) @vyasr
• Deprecate StringIndex and use Index instead (#13361) @galipremsagar
• Ensure columns have valid null counts in CUDF JNI. (#13355) @mythrocks
• Expunge most uses of TypeVar(bound="Foo") (#13346) @wence-
• Remove all references to UNKNOWN_NULL_COUNT in Python (#13345) @vyasr
• Improve distinct_count with cuco::static_set (#13343) @PointKernel
• Fix contiguous_split performance (#13342) @ttnghia
• Remove default UNKNOWN_NULL_COUNT from cudf::column member functions (#13341) @davidwendt
• Update mypy to 1.3 (#13340) @wence-
• [Java] Purge non-empty nulls when setting validity (#13335) @razajafri
• Add row-wise filtering step to read_parquet (#13334) @rjzamora
• Performance improvement for nvtext::minhash (#13333) @davidwendt
• Fix some libcudf functions to set the null count on returning columns (#13331) @davidwendt
• Change cudf::detail::concatenate_masks to return null-count (#13330) @davidwendt
• Move meta calculation in dask_cudf.read_parquet (#13327) @rjzamora
• Changes to support Numpy >= 1.24 (#13325) @shwina
• Use std::overflow_error when output would exceed column size limit (#13323) @davidwendt
• Clean up distinct_count benchmark (#13321) @PointKernel
• Fix gtest pinning to 1.13.0. (#13319) @bdice
• Remove null mask and null count from column_view constructors (#13311) @vyasr
• Address feedback from 13289 (#13306) @vyasr
• Change default value of the observed= argument in groupby to True to reflect the actual behaviour (#13296) @shwina
• First check for BaseDtype when infering the data type of an arbitrary object (#13295) @shwina
• Throw error if UNINITIALIZED is passed to cudf::state_null_count (#13292) @davidwendt
• Support CUDA 12.0 for pip wheels (#13289) @divyegala
• Refactor transform_lists_of_structs in row_operators.cu (#13288) @ttnghia
• Branch 23.06 merge 23.04 (#13286) @vyasr
• Update cupy dependency (#13284) @vyasr
• Performance improvement in cudf::strings::join_strings for long strings (#13283) @davidwendt
• Fix unused variables and functions (#13275) @karthikeyann
• Fix integer overflow in partition scatter_map construction (#13272) @wence-
• Numba 0.57 compatibility fixes (#13271) @gmarkall
• Performance improvement in cudf::strings::all_characters_of_type (#13259) @davidwendt
• Remove default null-count parameter from some libcudf factory functions (#13258) @davidwendt
• Roll our own generate_string() because mimesis' has gone away (#13257) @shwina
• Build wheels using new single image workflow (#13249) @vyasr
• Enable sccache hits from local builds (#13248) @AyodeAwe
• Revert to branch-23.06 for shared-action-workflows (#13247) @shwina
• Introduce pandas_compatible option in cudf (#13241) @galipremsagar
• Add metadata_builder helper class (#13232) @abellina
• Use libkvikio conda packages in libcudf, add explicit libcufile dependency. (#13231) @bdice
• Remove default null-count parameter from cudf::make_strings_column factory (#13227) @davidwendt
• Performance improvement in cudf::strings::find/rfind for long strings (#13226) @davidwendt
• Add chunked reader benchmark (#13223) @SrikarVanavasam
• Set the null count in output columns in the CSV reader (#13221) @vuule
• Skip Non-Empty nulls tests for the nightly build just like we skip CuFileTest and CudaFatalTest (#13213) @razajafri
• Fix string_scalar stream usage in write_json.cu (#13212) @davidwendt
• Use canonicalized name for dlopen'd libraries (libcufile) (#13210) @shwina
• Refactor pinned memory vector and ORC+Parquet writers (#13206) @ttnghia
• Remove UNKNOWN_NULL_COUNT where it can be easily computed (#13205) @vyasr
• Optimization to decoding of parquet level streams (#13203) @nvdbaranec
• Clean up and simplify gpuDecideCompression (#13202) @vuule
• Use std::array for a statically sized vector in create_serialized_trie (#13201) @vuule
• Update minimum Python version to Python 3.9 (#13196) @shwina
• Refactor contiguous_split API into contiguous_split.hpp (#13186) @abellina
• Remove usage of rapids-get-rapids-version-from-git (#13184) @jjacobelli
• Enable mixed-dtype decimal/scalar binary operations (#13171) @shwina
• Split up unique_count.cu to improve build time (#13169) @davidwendt
• Use nvtx3 includes in string examples. (#13165) @bdice
• Change some .cu gtest files to .cpp (#13155) @davidwendt
• Remove wheel pytest verbosity (#13151) @sevagh
• Fix libcudf to always pass null-count to set_null_mask (#13149) @davidwendt
• Fix gtests to always pass null-count to set_null_mask calls (#13148) @davidwendt
• Optimize JSON writer (#13144) @karthikeyann
• Performance improvement for libcudf upper/lower conversion for long strings (#13142) @davidwendt
• [REVIEW] Deprecate pad and backfill methods (#13140) @galipremsagar
• Use CTAD instead of functions in ProtobufReader (#13135) @vuule
• Remove more instances of UNKNOWN_NULL_COUNT (#13134) @vyasr
• Update clang-format to 16.0.1. (#13133) @bdice
• Add log messages about cuIO's nvCOMP and cuFile use (#13132) @vuule
• Branch 23.06 merge 23.04 (#13131) @vyasr
• Compute null-count in cudf::detail::slice (#13124) @davidwendt
• Use ARC V2 self-hosted runners for GPU jobs (#13123) @jjacobelli
• Set null-count in linked_column_view conversion operator (#13121) @davidwendt
• Adding ifdefs around nvcc-specific pragmas (#13110) @hyperbolic2346
• Add null-count parameter to json experimental parse_data utility (#13107) @davidwendt
• Remove uses-setup-env-vars (#13105) @vyasr
• Explicitly compute null count in concatenate APIs (#13104) @vyasr
• Replace unnecessary uses of UNKNOWN_NULL_COUNT (#13102) @vyasr
• Performance improvement for cudf::string_view::find functions (#13100) @davidwendt
• Use .element() instead of .data() for window range calculations (#13095) @mythrocks
• Cleanup Parquet chunked writer (#13094) @ttnghia
• Fix unused variable error/warning in page_data.cu (#13093) @davidwendt
• Cleanup ORC chunked writer (#13091) @ttnghia
• Remove using namespace cudf; from libcudf gtests source (#13089) @davidwendt
• Change cudf::test::make_null_mask to also return null-count (#13081) @davidwendt
• Resolved automerger from branch-23.04 to branch-23.06 (#13080) @galipremsagar
• Assert for non-empty nulls (#13071) @razajafri
• Remove deprecated regex functions from libcudf (#13067) @davidwendt
• Refactor cudf::detail::sorted_order (#13062) @ttnghia
• Improve performance of slice_strings for long strings (#13057) @davidwendt
• Reduce shared memory usage in gpuComputePageSizes by 50% (#13047) @nvdbaranec
• [REVIEW] Add notes to performance comparisons notebook (#13044) @galipremsagar
• Enable binary operations between scalars and columns of differing decimal types (#13034) @shwina
• Remove console output from some libcudf gtests (#13027) @davidwendt
• Remove underscore in build string. (#13025) @bdice
• Bump up JNI version 23.06.0-SNAPSHOT (#13021) @pxLi
• Fix auto merger from branch-23.04 to branch-23.06 (#13009) @galipremsagar
• Reduce peak memory use when writing compressed ORC files. (#12963) @vuule
• Add nvtx annotatations to groupby methods (#12941) @wence-
• Compute column sizes in Parquet preprocess with single kernel (#12931) @SrikarVanavasam
• Add Python bindings for time zone data (TZiF) reader (#12826) @shwina
• Optimize set-like operations (#12769) @ttnghia
• [REVIEW] Upgrade to arrow-11 (#12757) @galipremsagar
• Add empty test files for test reorganization (#12288) @shwina

🚨 Breaking Changes

• Pin dask and distributed for release (#13070) @galipremsagar
• Declare a different name for nan_equality.UNEQUAL to prevent Cython warnings. (#12947) @bdice
• Update minimum pandas and numpy pinnings (#12887) @galipremsagar
• Deprecate names & dtype in Index.copy (#12825) @galipremsagar
• Deprecate Index.is_* methods (#12820) @galipremsagar
• Deprecate datetime_is_numeric from describe (#12818) @galipremsagar
• Deprecate na_sentinel in factorize (#12817) @galipremsagar
• Make string methods return a Series with a useful Index (#12814) @shwina
• Produce useful guidance on overflow error in to_csv (#12705) @wence-
• Move strings_udf code into cuDF (#12669) @brandon-b-miller
• Remove cudf::strings::repeat_strings_output_sizes and optional parameter from cudf::strings::repeat_strings (#12609) @davidwendt
• Replace message parsing with throwing more specific exceptions (#12426) @vyasr

🐛 Bug Fixes

• Fix memcheck script to execute only _TEST files found in bin/gtests/libcudf (#13006) @davidwendt
• Fix DataFrame constructor to broadcast scalar inputs properly (#12997) @galipremsagar
• Drop force_nullable_schema from chunked parquet writer (#12996) @galipremsagar
• Fix gtest column utility comparator diff reporting (#12995) @davidwendt
• Handle index names while performing groupby (#12992) @galipremsagar
• Fix __setitem__ on string columns when the scalar value ends in a null byte (#12991) @wence-
• Fix sort_values when column is all empty strings (#12988) @eriknw
• Remove unused variable and fix memory issue in ORC writer (#12984) @ttnghia
• Pre-emptive fix for upstream dask.dataframe.read_parquet changes (#12983) @rjzamora
• Remove MANIFEST.in use auto-generated one for sdists and package_data for wheels (#12960) @vyasr
• Update to use rapids-export(COMPONENTS) feature. (#12959) @robertmaynard
• cudftestutil supports static gtest dependencies (#12957) @robertmaynard
• Include gtest in build environment. (#12956) @vyasr
• Correctly handle scalar indices in Index.__getitem__ (#12955) @wence-
• Avoid building cython twice (#12945) @galipremsagar
• Fix set index error for Series rolling window operations (#12942) @galipremsagar
• Fix calculation of null counts for Parquet statistics (#12938) @etseidl
• Preserve integer dtype of hive-partitioned column containing nulls (#12930) @rjzamora
• Use get_current_device_resource for intermediate allocations in COLLECT_LIST window code (#12927) @karthikeyann
• Mark dlpack tensor deleter as noexcept to match PyCapsule_Destructor signature. (#12921) @bdice
• Fix conda recipe post-link.sh typo (#12916) @pentschev
• min_rows and num_rows are swapped in ComputePageSizes declaration in Parquet reader (#12886) @etseidl
• Expect cupy to now support bool arrays for dlpack. (#12883) @vyasr
• Use python -m pytest for nightly wheel tests (#12871) @bdice
• Parquet writer column_size() should return a size_t (#12870) @etseidl
• Fix cudf::hash_partition kernel launch error with decimal128 types (#12863) @davidwendt
• Fix an issue with parquet chunked reader undercounting string lengths. (#12859) @nvdbaranec
• Remove tokenizers pre-install pinning. (#12854) @vyasr
• Fix parquet RangeIndex bug (#12838) @rjzamora
• Remove KAFKA_HOST_TEST from compute-sanitizer check (#12831) @davidwendt
• Make string methods return a Series with a useful Index (#12814) @shwina
• Tell cudf_kafka to use header-only fmt (#12796) @vyasr
• Add GroupBy.dtypes (#12783) @galipremsagar
• Fix a leak in a test and clarify some test names (#12781) @revans2
• Fix bug in all-null list due to join_list_elements special handling (#12767) @karthikeyann
• Add try/except for expected null-schema error in read_parquet (#12756) @rjzamora
• Throw an exception if an unsupported page encoding is detected in Parquet reader (#12754) @etseidl
• Fix a bug with num_keys in _scatter_by_slice (#12749) @thomcom
• Bump pinned rapids wheel deps to 23.4 (#12735) @sevagh
• Rework logic in cudf::strings::split_record to improve performance (#12729) @davidwendt
• Add always_nullable flag to Dremel encoding (#12727) @divyegala
• Fix memcheck read error in compound segmented reduce (#12722) @davidwendt
• Fix faulty conditional logic in JIT GroupBy.apply (#12706) @brandon-b-miller
• Produce useful guidance on overflow error in to_csv (#12705) @wence-
• Handle parquet list data corner case (#12698) @nvdbaranec
• Fix missing trailing comma in json writer (#12688) @karthikeyann
• Remove child fom newCudaAsyncMemoryResource (#12681) @abellina
• Handle bool types in round API (#12670) @galipremsagar
• Ensure all of device bitmask is initialized in from_arrow (#12668) @wence-
• Fix from_arrow to load a sliced arrow table (#12665) @galipremsagar
• Fix dask-cudf read_parquet bug for multi-file aggregation (#12663) @rjzamora
• Fix AllocateLikeTest gtests reading uninitialized null-mask (#12643) @davidwendt
• Fix find_common_dtype and values to handle complex dtypes (#12537) @galipremsagar
• Fix fetching of MultiIndex values when a label is passed (#12521) @galipremsagar
• Fix Series comparison vs scalars (#12519) @brandon-b-miller
• Allow casting from UDFString back to StringView to call methods in strings_udf (#12363) @brandon-b-miller

📖 Documentation

• Fix GroupBy.apply doc examples rendering (#12994) @brandon-b-miller
• add sphinx building and s3 uploading for dask-cudf docs (#12982) @quasiben
• Add developer documentation forbidding default parameters in detail APIs (#12978) @vyasr
• Add README symlink for dask-cudf. (#12946) @bdice
• Remove return type from @return doxygen tags (#12908) @davidwendt
• Fix docs build to be pydata-sphinx-theme=0.13.0 compatible (#12874) @galipremsagar
• Add skeleton API and prose documentation for dask-cudf (#12725) @wence-
• Enable doctests for GroupBy methods (#12658) @brandon-b-miller
• Add comment about CUB patch for SegmentedSortInt.Bool gtest (#12611) @davidwendt

🚀 New Features

• Add JNI method for strings::replace multi variety (#12979) @NVnavkumar
• Add nunique aggregation support for cudf::segmented_reduce (#12972) @davidwendt
• Refactor orc chunked writer (#12949) @ttnghia
• Make Parquet writer nullable option application to single table writes (#12933) @vuule
• Refactor io::orc::ProtobufWriter (#12877) @ttnghia
• Make timezone table independent from ORC (#12805) @vuule
• Cache JIT GroupBy.apply functions (#12802) @brandon-b-miller
• Implement initial support for avro logical types (#6482) (#12788) @tpn
• Update tests/column_utilities to use experimental::equality row comparator (#12777) @divyegala
• Update distinct/unique_count to experimental::row hasher/comparator (#12776) @divyegala
• Update hash_partition to use experimental::row::row_hasher (#12761) @divyegala
• Update is_sorted to use experimental::row::lexicographic (#12752) @divyegala
• Update default data source in cuio reader benchmarks (#12740) @PointKernel
• Reenable stream identification library in CI (#12714) @vyasr
• Add regex_program strings splitting java APIs and tests (#12713) @cindyyuanjiang
• Add regex_program strings replacing java APIs and tests (#12701) @cindyyuanjiang
• Add regex_program strings extract java APIs and tests (#12699) @cindyyuanjiang
• Variable fragment sizes for Parquet writer (#12685) @etseidl
• Add segmented reduction support for fixed-point types (#12680) @davidwendt
• Move strings_udf code into cuDF (#12669) @brandon-b-miller
• Add regex_program searching APIs and related java classes (#12666) @cindyyuanjiang
• Add logging to libcudf (#12637) @vuule
• Add compound aggregations to cudf::segmented_reduce (#12573) @davidwendt
• Convert rank to use to experimental row comparators (#12481) @divyegala
• Use rapids-cmake parallel testing feature (#12451) @robertmaynard
• Enable detection of undesired stream usage (#12089) @vyasr

🛠️ Improvements

• Pin dask and distributed for release (#13070) @galipremsagar
• Pin cupy in wheel tests to supported versions (#13041) @vyasr
• Pin numba version (#13001) @vyasr
• Rework gtests SequenceTest to remove using namepace cudf (#12985) @davidwendt
• Stop setting package version attribute in wheels (#12977) @vyasr
• Move detail reduction functions to cudf::reduction::detail namespace (#12971) @davidwendt
• Remove default detail mrs: part7 (#12970) @vyasr
• Remove default detail mrs: part6 (#12969) @vyasr
• Remove default detail mrs: part5 (#12968) @vyasr
• Remove default detail mrs: part4 (#12967) @vyasr
• Remove default detail mrs: part3 (#12966) @vyasr
• Remove default detail mrs: part2 (#12965) @vyasr
• Remove default detail mrs: part1 (#12964) @vyasr
• Add force_nullable_schema parameter to Parquet writer. (#12952) @galipremsagar
• Declare a different name for nan_equality.UNEQUAL to prevent Cython warnings. (#12947) @bdice
• Remove remaining default stream parameters (#12943) @vyasr
• Fix cudf::segmented_reduce gtest for ANY aggregation (#12940) @davidwendt
• Implement groupby.head and groupby.tail (#12939) @wence-
• Fix libcudf gtests to pass null-count=0 for empty validity masks (#12923) @davidwendt
• Migrate parquet encoding to use experimental row operators (#12918) @PointKernel
• Fix benchmarks coded in namespace cudf and using namespace cudf (#12915) @karthikeyann
• Fix io/text gtests coded in namespace cudf::test (#12914) @karthikeyann
• Pass SCCACHE_S3_USE_SSL to conda builds (#12910) @ajschmidt8
• Fix FST, JSON gtests & benchmarks coded in namespace cudf::test (#12907) @karthikeyann
• Generate pyproject dependencies using dfg (#12906) @vyasr
• Update libcudf counting functions to specify cudf::size_type (#12904) @davidwendt
• Fix moto env vars & pass AWS_SESSION_TOKEN to conda builds (#12902) @ajschmidt8
• Rewrite CSV writer benchmark with nvbench (#12901) @PointKernel
• Rework some code logic to reduce iterator and comparator inlining to improve compile time (#12900) @davidwendt
• Deprecate line_terminator in favor of lineterminator in to_csv (#12896) @wence-
• Add stream and mr parameters for structs::detail::flatten_nested_columns (#12892) @ttnghia
• Deprecate libcudf regex APIs accepting pattern strings directly (#12891) @davidwendt
• Remove default parameters from detail headers in include (#12888) @vyasr
• Update minimum pandas and numpy pinnings (#12887) @galipremsagar
• Implement groupby.sample (#12882) @wence-
• Update JNI build ENV default to gcc 11 (#12881) @pxLi
• Change return type of cudf::structs::detail::flatten_nested_columns to smart pointer (#12878) @ttnghia
• Fix passing seed parameter to MurmurHash3_32 in cudf::hash() function (#12875) @davidwendt
• Remove manual artifact upload step in CI (#12869) @ajschmidt8
• Update to GCC 11 (#12868) @bdice
• Fix null hive-partition behavior in dask-cudf parquet (#12866) @rjzamora
• Update to protobuf>=4.21.6,<4.22. (#12864) @bdice
• Update RMM allocators (#12861) @pentschev
• Improve performance for replace-multi for long strings (#12858) @davidwendt
• Drop Python 3.7 handling for pickle protocol 4 (#12857) @jakirkham
• Migrate as much as possible to pyproject.toml (#12850) @vyasr
• Enable nbqa pre-commit hooks for isort and black. (#12848) @bdice
• Setting a threshold for KvikIO IO (#12841) @madsbk
• Update datasets download URL (#12840) @jjacobelli
• Make docs builds less verbose (#12836) @AyodeAwe
• Consolidate linter configs into pyproject.toml (#12834) @vyasr
• Deprecate names & dtype in Index.copy (#12825) @galipremsagar
• Deprecate inplace parameters in categorical methods (#12824) @galipremsagar
• Add optional text file support to ninja-log utility (#12823) @davidwendt
• Deprecate Index.is_* methods (#12820) @galipremsagar
• Add dfg as a pre-commit hook (#12819) @vyasr
• Deprecate datetime_is_numeric from describe (#12818) @galipremsagar
• Deprecate na_sentinel in factorize (#12817) @galipremsagar
• Shuffling read into a sub function in parquet read (#12809) @hyperbolic2346
• Fixing parquet coalescing of reads (#12808) @hyperbolic2346
• CI: Remove specification of manual stage for check_style.sh script. (#12803) @csadorf
• Add compute-sanitizer github workflow action to nightly tests (#12800) @davidwendt
• Enable groupby std and variance aggregation types in libcudf Debug build (#12799) @davidwendt
• Expose seed argument to hash_values (#12795) @ayushdg
• Fix groupby gtests coded in namespace cudf::test (#12784) @davidwendt
• Improve performance for cudf::strings::count_characters for long strings (#12779) @davidwendt
• Deallocate encoded data in ORC writer immediately after compression (#12770) @vuule
• Stop force pulling fmt in nvbench. (#12768) @vyasr
• Remove now redundant cuda initialization (#12758) @vyasr
• Adds JSON reader, writer io benchmark (#12753) @karthikeyann
• Use test paths relative to package directory. (#12751) @bdice
• Add build metrics report as artifact to cpp-build workflow (#12750) @davidwendt
• Add JNI methods for detecting and purging non-empty nulls from LIST and STRUCT (#12742) @razajafri
• Stop using versioneer to manage versions (#12741) @vyasr
• Reduce error handling verbosity in CI tests scripts (#12738) @AjayThorve
• Reduce the number of test cases in multibyte_split benchmark (#12737) @PointKernel
• Update shared workflow branches (#12733) @ajschmidt8
• JNI switches to nested JSON reader (#12732) @res-life
• Changing cudf::io::source_info to use cudf::host_span<std::byte> in a non-breaking form (#12730) @hyperbolic2346
• Add nvbench environment class for initializing RMM in benchmarks (#12728) @davidwendt
• Split C++ and Python build dependencies into separate lists. (#12724) @bdice
• Add build dependencies to Java tests. (#12723) @bdice
• Allow setting the seed argument for hash partition (#12715) @firestarman
• Remove gpuCI scripts. (#12712) @bdice
• Unpin dask and distributed for development (#12710) @galipremsagar
• partition_by_hash(): use _split() (#12704) @madsbk
• Remove DataFrame.quantiles from docs. (#12684) @bdice
• Fast path for experimental::row::equality (#12676) @divyegala
• Move date to build string in conda recipe (#12661) @ajschmidt8
• Refactor reduction logic for fixed-point types (#12652) @davidwendt
• Pay off some JNI RMM API tech debt (#12632) @revans2
• Merge copy-on-write feature branch into branch-23.04 (#12619) @galipremsagar
• Remove cudf::strings::repeat_strings_output_sizes and optional parameter from cudf::strings::repeat_strings (#12609) @davidwendt
• Pin cuda-nvrtc. (#12606) @bdice
• Remove cudf::test::print calls from libcudf gtests (#12604) @davidwendt
• Init JNI version 23.04.0-SNAPSHOT (#12599) @pxLi
• Add performance benchmarks to user facing docs (#12595) @galipremsagar
• Add docs build job (#12592) @AyodeAwe
• Replace message parsing with throwing more specific exceptions (#12426) @vyasr
• Support conversion to/from cudf in dask.dataframe.core.to_backend (#12380) @rjzamora