v24.06.00

🚨 Breaking Changes

• Deprecate Groupby.collect (#15808) @galipremsagar
• Raise FileNotFoundError when a literal JSON string that looks like a json filename is passed (#15806) @lithomas1
• Support filtered I/O in chunked_parquet_reader and simplify the use of parquet_reader_options (#15764) @mhaseeb123
• Raise errors for unsupported operations on certain types (#15712) @galipremsagar
• Support DurationType in cudf parquet reader via arrow:schema (#15617) @mhaseeb123
• Remove protobuf and use parsed ORC statistics from libcudf (#15564) @bdice
• Remove legacy JSON reader from Python (#15538) @bdice
• Removing all batching code from parquet writer (#15528) @mhaseeb123
• Convert libcudf resource parameters to rmm::device_async_resource_ref (#15507) @harrism
• Remove deprecated strings offsets_begin (#15454) @davidwendt
• Floating <--> fixed-point conversion must now be called explicitly (#15438) @pmattione-nvidia
• Bind read_parquet_metadata API to libcudf instead of pyarrow and extract RowGroup information (#15398) @mhaseeb123
• Remove deprecated hash() and spark_murmurhash3_x86_32() (#15375) @davidwendt
• Remove empty elements from exploded character-ngrams output (#15371) @davidwendt
• [FEA] Performance improvement for mixed left semi/anti join (#15288) @tgujar
• Align date_range defaults with pandas, support tz (#15139) @mroeschke

🐛 Bug Fixes

• Revert "Fix docs for IO readers and strings_convert" (#15872) @vyasr
• Remove problematic call of index setter to unblock dask-cuda CI (#15844) @charlesbluca
• Use rapids_cpm_nvtx3 to get same nvtx3 target state as rmm (#15840) @robertmaynard
• Return boolean from config_host_memory_resource instead of throwing (#15815) @abellina
• Add temporary dask-cudf workaround for categorical sorting (#15801) @rjzamora
• Fix row group alignment in ORC writer (#15789) @vuule
• Raise error when sorting by categorical column in dask-cudf (#15788) @rjzamora
• Upgrade arrow to 16.1 (#15787) @galipremsagar
• Add support for PandasArray for pandas<2.1.0 (#15786) @galipremsagar
• Limit runtime dependency to libarrow>=16.0.0,<16.1.0a0 (#15782) @pentschev
• Fix cat.as_ordered not propogating correct size (#15780) @mroeschke
• Handle mixed-like homogeneous types in isin (#15771) @galipremsagar
• Fix id_vars and value_vars not accepting string scalars in melt (#15765) @mroeschke
• Fix DatetimeIndex.loc for all types of ordering cases (#15761) @galipremsagar
• Fix arrow versioning logic (#15755) @vyasr
• Avoid running sanitizer on Java test designed to cause an error (#15753) @jlowe
• Handle empty dataframe object with index present in setitem of loc (#15752) @galipremsagar
• Eliminate circular reference in DataFrame/Series.iloc/loc (#15749) @mroeschke
• Cap the absolute row index per pass in parquet chunked reader. (#15735) @nvdbaranec
• Fix Index.repeat for datetime64 types (#15722) @galipremsagar
• Fix multibyte check for case convert for large strings (#15721) @davidwendt
• Fix get_loc to properly fetch results from an index that is in decreasing order (#15719) @galipremsagar
• Return same type as the original index for .loc operations (#15717) @galipremsagar
• Correct static builds + static arrow (#15715) @robertmaynard
• Raise errors for unsupported operations on certain types (#15712) @galipremsagar
• Fix ColumnAccessor caching of nrows if empty previously (#15710) @mroeschke
• Allow None when nan_as_null=False in column constructor (#15709) @galipremsagar
• Refine CudaTest.testCudaException in case throwing wrong type of CudaError under aarch64 (#15706) @sperlingxx
• Fix maxima of categorical column (#15701) @rjzamora
• Add proxy for inplace operations in cudf.pandas (#15695) @galipremsagar
• Make nan_as_null behavior consistent across all APIs (#15692) @galipremsagar
• Fix CI s3 api command to fetch latest results (#15687) @galipremsagar
• Add NumpyExtensionArray proxy type in cudf.pandas (#15686) @galipremsagar
• Properly implement binaryops for proxy types (#15684) @galipremsagar
• Fix copy assignment and the comparison operator of rmm_host_allocator (#15677) @vuule
• Fix multi-source reading in JSON byte range reader (#15671) @shrshi
• Return int64 when pandas compatible mode is turned on for get_indexer (#15659) @galipremsagar
• Fix Index contains for error validations and float vs int comparisons (#15657) @galipremsagar
• Preserve sub-second data for time scalars in column construction (#15655) @galipremsagar
• Check row limit size in cudf::strings::join_strings (#15643) @davidwendt
• Enable sorting on column with nulls using query-planning (#15639) @rjzamora
• Fix operator precedence problem in Parquet reader (#15638) @etseidl
• Fix decoding of dictionary encoded FIXED_LEN_BYTE_ARRAY data in Parquet reader (#15601) @etseidl
• Fix debug warnings/errors in from_arrow_device_test.cpp (#15596) @davidwendt
• Add "collect" aggregation support to dask-cudf (#15593) @rjzamora
• Fix categorical-accessor support and testing in dask-cudf (#15591) @rjzamora
• Disable compute-sanitizer usage in CI tests with CUDA<11.6 (#15584) @davidwendt
• Preserve RangeIndex.step in to_arrow/from_arrow (#15581) @mroeschke
• Ignore new cupy warning (#15574) @vyasr
• Add cuda-sanitizer-api dependency for test-cpp matrix 11.4 (#15573) @davidwendt
• Allow apply udf to reference global modules in cudf.pandas (#15569) @mroeschke
• Fix deprecation warnings for json legacy reader (#15563) @davidwendt
• Fix millisecond resampling in cudf Python (#15560) @mroeschke
• Rename JSON_READER_OPTION to JSON_READER_OPTION_NVBENCH. (#15553) @bdice
• Fix a JNI bug in JSON parsing fixup (#15550) @revans2
• Remove conda channel setup from wheel CI image script. (#15539) @bdice
• cudf.pandas: Series dt accessor is CombinedDatetimelikeProperties (#15523) @wence-
• Fix for some compiler warnings in parquet/page_decode.cuh (#15518) @etseidl
• Fix exponent overflow in strings-to-double conversion (#15517) @davidwendt
• nanoarrow uses package override for proper pinned versions generation (#15515) @robertmaynard
• Remove index name overrides in dask-cudf pyarrow table dispatch (#15514) @charlesbluca
• Fix async synchronization issues in json_column.cu (#15497) @karthikeyann
• Add new patch to hide more CCCL APIs (#15493) @vyasr
• Make improvements in pandas-test reporting (#15485) @galipremsagar
• Fixed page data truncation in parquet writer under certain conditions. (#15474) @nvdbaranec
• Only use data_type constructor with scale for decimal types (#15472) @wence-
• Avoid "p2p" shuffle as a default when dask_cudf is imported (#15469) @rjzamora
• Fix debug build errors from to_arrow_device_test.cpp (#15463) @davidwendt
• Fix base_normalator::integer_sizeof_fn integer dispatch (#15457) @davidwendt
• Allow consumers of static builds to find nanoarrow (#15456) @robertmaynard
• Allow jit compilation when using a splayed CUDA toolkit (#15451) @robertmaynard
• Handle case of scan aggregation in groupby-transform (#15450) @wence-
• Test static builds in CI and fix nanoarrow configure (#15437) @vyasr
• Fixes potential race in JSON parser when parsing JSON lines format and when recovering from invalid lines (#15419) @elstehle
• Fix errors in chunked ORC writer when no tables were (successfully) written (#15393) @vuule
• Support implicit array conversion with query-planning enabled (#15378) @rjzamora
• Fix arrow-based round trip of empty dataframes (#15373) @wence-
• Remove empty elements from exploded character-ngrams output (#15371) @davidwendt
• Remove boundscheck=False setting in cython files (#15362) @wence-
• Patch dask-expr var logic in dask-cudf (#15347) @rjzamora
• Fix for logical and syntactical errors in libcudf c++ examples (#15346) @mhaseeb123
• Disable dask-expr in docs builds. (#15343) @bdice
• Apply the cuFile error work around to data_sink as well (#15335) @vuule
• Fix parquet predicate filtering with column projection (#15113) @karthikeyann
• Check column type equality, handling nested types correctly. (#14531) @bdice

📖 Documentation

• Fix docs for IO readers and strings_convert (#15842) @bdice
• Update cudf.pandas docs for GA (#15744) @beckernick
• Add contributing warning about circular imports (#15691) @er-eis
• Update libcudf developer guide for strings offsets column (#15661) @davidwendt
• Update developer guide with device_async_resource_ref guidelines (#15562) @harrism
• DOC: add pandas intersphinx mapping (#15531) @raybellwaves
• rm-dup-doc in frame.py (#15530) @raybellwaves
• Update CONTRIBUTING.md to use latest cuda env (#15467) @raybellwaves
• Doc: interleave columns pandas compat (#15383) @raybellwaves
• Simplified README Examples (#15338) @wkaisertexas
• Add debug tips section to libcudf developer guide (#15329) @davidwendt
• Fix and clarify notes on result ordering (#13255) @shwina

🚀 New Features

• Add JNI bindings for zstd compression of NVCOMP. (#15729) @firestarman
• Fix spaces around CSV quoted strings (#15727) @thabetx
• Add default pinned pool that falls back to new pinned allocations (#15665) @vuule
• Overhaul ops-codeowners coverage (#15660) @raydouglass
• Concatenate dictionary of objects along axis=1 (#15623) @er-eis
• Construct pylibcudf columns from objects supporting __cuda_array_interface__ (#15615) @brandon-b-miller
• Expose some Parquet per-column configuration options via the python API (#15613) @etseidl
• Migrate string find operations to pylibcudf (#15604) @brandon-b-miller
• Round trip FIXED_LEN_BYTE_ARRAY data properly in Parquet writer (#15600) @etseidl
• Reading multi-line JSON in string columns using runtime configurable delimiter (#15556) @shrshi
• Remove public gtest dependency from libcudf conda package (#15534) @robertmaynard
• Fea/move to latest nanoarrow (#15526) @robertmaynard
• Migrate string case operations to pylibcudf (#15489) @brandon-b-miller
• Add Parquet encoding statistics to column chunk metadata (#15452) @etseidl
• Implement JNI for chunked ORC reader (#15446) @ttnghia
• Add some missing optional fields to the Parquet RowGroup metadata (#15421) @etseidl
• Adding parquet transcoding example (#15420) @mhaseeb123
• Add fields to Parquet Statistics structure that were added in parquet-format 2.10 (#15412) @etseidl
• Add option to Parquet writer to skip compressing individual columns (#15411) @etseidl
• Add BYTE_STREAM_SPLIT support to Parquet (#15311) @etseidl
• Introduce benchmark suite for JSON reader options (#15124) @shrshi
• Implement ORC chunked reader (#15094) @ttnghia
• Extend cudf devcontainers to specify jitify2 kernel cache (#15068) @robertmaynard
• Add to_arrow_device function to cudf interop using nanoarrow (#15047) @zeroshade
• Add JSON option to prune columns (#14996) @karthikeyann

🛠️ Improvements

• Deprecate Groupby.collect (#15808) @galipremsagar
• Raise FileNotFoundError when a literal JSON string that looks like a json filename is passed (#15806) @lithomas1
• Deprecate divisions='quantile' support in set_index (#15804) @rjzamora
• Improve performance of Series.to_numpy/to_cupy (#15792) @mroeschke
• Access self.index instead of self._index where possible (#15781) @mroeschke
• Support filtered I/O in chunked_parquet_reader and simplify the use of parquet_reader_options (#15764) @mhaseeb123
• Avoid index-to-column conversion in some DataFrame ops (#15763) @mroeschke
• Fix chunked_parquet_reader behavior when input has no more rows to read (#15757) @mhaseeb123
• [JNI] Expose java API for cudf::io::config_host_memory_resource (#15745) @abellina
• Migrate all cpp pxd files into pylibcudf (#15740) @vyasr
• Validate and materialize iterators earlier in as_column (#15739) @mroeschke
• Push some as_column arrow logic to ColumnBase.from_arrow (#15738) @mroeschke
• Expose stream parameter in public reduction APIs (#15737) @srinivasyadav18
• remove unnecessary 'setuptools' host dependency, simplify dependencies.yaml (#15736) @jameslamb
• Defer to C++ equality and hashing for pylibcudf DataType and Aggregation objects (#15732) @wence-
• Implement null-aware NOT_EQUALS binop (#15731) @wence-
• Fix split-record result list column offset type (#15707) @davidwendt
• Upgrade arrow to 16 (#15703) @galipremsagar
• Remove experimental namespace from make_strings_children (#15702) @davidwendt
• Rework get_json_object benchmark to use nvbench (#15698) @davidwendt
• Rework some python tests of Parquet delta encodings (#15693) @etseidl
• Skeleton cudf polars package (#15688) @wence-
• Upgrade pre commit hooks (#15685) @wence-
• Allow fillna to validate for CategoricalColumn.fillna (#15683) @galipremsagar
• Misc Column cleanups (#15682) @mroeschke
• Reducing runtime of JSON reader options benchmark (#15681) @shrshi
• Add Timestamp and Timedelta proxy types (#15680) @galipremsagar
• Remove host_parse_nested_json. (#15674) @bdice
• Reduce runtime for ParquetChunkedReaderInputLimitTest gtests (#15672) @davidwendt
• Add large-strings gtest for cudf::interleave_columns (#15669) @davidwendt
• Use experimental make_strings_children for multi-replace_re (#15667) @davidwendt
• Enabled Holiday types in cudf.pandas (#15664) @galipremsagar
• Remove obsolete XFAIL markers for query-planning (#15662) @rjzamora
• Clean up join benchmarks (#15644) @PointKernel
• Enable warnings as errors in custreamz (#15642) @mroeschke
• Improve distinct join with set retrieve (#15636) @PointKernel
• Fix -Werror=type-limits. (#15635) @bdice
• Enable FutureWarnings/DeprecationWarnings as errors for dask_cudf (#15634) @mroeschke
• Remove NVBench SHA override. (#15633) @alliepiper
• Add support for large string columns to Parquet reader and writer (#15632) @etseidl
• Large strings support in MD5 and SHA hashers (#15631) @davidwendt
• Fix make_offsets_child_column usage in cudf::strings::detail::shift (#15630) @davidwendt
• Use experimental make_strings_children for strings convert (#15629) @davidwendt
• Forward-merge branch-24.04 to branch-24.06 (#15627) @bdice
• Avoid accessing attributes via _column if not needed (#15624) @mroeschke
• Make ColumnBase.cuda_array_interface opt out instead of opt in (#15622) @mroeschke
• Large strings support for cudf::gather (#15621) @davidwendt
• Remove jni-docker-build workflow (#15619) @bdice
• Support DurationType in cudf parquet reader via arrow:schema (#15617) @mhaseeb123
• Drop Centos7 support (#15608) @NvTimLiu
• Use experimental make_strings_children for json/csv writers (#15599) @davidwendt
• Use experimental make_strings_children for strings join/url_encode/slice (#15598) @davidwendt
• Use experimental make_strings_children in nvtext APIs (#15595) @davidwendt
• Migrate to {{ stdlib("c") }} (#15594) @hcho3
• Deprecate to/from_dask_dataframe APIs in dask-cudf (#15592) @rjzamora
• Minor fixups for future NumPy 2 compatibility (#15590) @seberg
• Delay materializing RangeIndex in .reset_index (#15588) @mroeschke
• Use experimental make_strings_children for capitalize/case/pad functions (#15587) @davidwendt
• Use experimental make_strings_children for strings replace/filter/translate (#15586) @davidwendt
• Add multithreaded parquet reader benchmarks. (#15585) @nvdbaranec
• Don't materialize column during RangeIndex methods (#15582) @mroeschke
• Improve performance for cudf::strings::count_re (#15578) @davidwendt
• Replace RangeIndex._start/_stop/_step with _range (#15576) @mroeschke
• add --rm and --name to devcontainer run args (#15572) @trxcllnt
• Change the default dictionary policy in Parquet writer from ALWAYS to ADAPTIVE (#15570) @mhaseeb123
• Rename experimental JSON tests. (#15568) @bdice
• Refactor JNI native dependency loading to allow returning of library path (#15566) @jlowe
• Remove protobuf and use parsed ORC statistics from libcudf (#15564) @bdice
• Deprecate legacy JSON reader options. (#15558) @bdice
• Use same .clang-format in cuDF JNI (#15557) @bdice
• Large strings support for cudf::fill (#15555) @davidwendt
• Upgrade upper bound pinning to pandas-2.2.2 (#15554) @galipremsagar
• Work around issues with cccl main (#15552) @miscco
• Enable pandas plotting unit tests for cudf.pandas (#15547) @mroeschke
• Move timezone conversion logic to DatetimeColumn (#15545) @mroeschke
• Large strings support for cudf::interleave_columns (#15544) @davidwendt
• [skip ci] Switch back to 24.06 branch for pandas tests (#15543) @galipremsagar
• Remove checks dependency from static-configure test job. (#15542) @bdice
• Remove legacy JSON reader from Python (#15538) @bdice
• Enable more ignored pandas unit tests for cudf.pandas (#15535) @mroeschke
• Large strings support for cudf::clamp (#15533) @davidwendt
• Remove version hard-coding (#15529) @galipremsagar
• Removing all batching code from parquet writer (#15528) @mhaseeb123
• Make some private class properties not settable (#15527) @mroeschke
• Large strings support in regex replace APIs (#15524) @davidwendt
• Skip pandas unit tests that crash pytest workers in cudf.pandas (#15521) @mroeschke
• Preserve column metadata during more DataFrame operations (#15519) @mroeschke
• Move to pandas-tests to a dedicated workflow file and trigger it from branch.yaml (#15516) @galipremsagar
• Large strings gtest fixture and utilities (#15513) @davidwendt
• Convert libcudf resource parameters to rmm::device_async_resource_ref (#15507) @harrism
• Relax protobuf lower bound to 3.20. (#15506) @bdice
• Clean up index methods (#15496) @mroeschke
• Update strings contains benchmarks to nvbench (#15495) @davidwendt
• Update NVBench fixture to use new hooks, fix pinned memory segfault. (#15492) @alliepiper
• Enable tests/scalar and test/series in cudf.pandas tests (#15486) @mroeschke
• Clean up cuda_array_interface handling in as_column (#15477) @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 to_arrow_device() functions that accept views (#15465) @davidwendt
• Add custom status check workflow (#15464) @galipremsagar
• Disable pandas 2.x clipboard tests in cudf.pandas tests (#15462) @mroeschke
• Enable tests/strings/test_api.py and tests/io/pytables in cudf.pandas tests (#15461) @mroeschke
• Enable test_parsing in cudf.pandas tests (#15460) @mroeschke
• Add from_arrow_device function to cudf interop using nanoarrow (#15458) @zeroshade
• 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
• Performance improvement in libcudf case conversion for long strings (#15441) @davidwendt
• 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
• Unify Copy-On-Write and Spilling (#15436) @madsbk
• 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
• Bind read_parquet_metadata API to libcudf instead of pyarrow and extract RowGroup information (#15398) @mhaseeb123
• Optimizing multi-source byte range reading in JSON reader (#15396) @shrshi
• add correct labels to pandas_function_request.md (#15381) @raybellwaves
• Remove deprecated hash() and spark_murmurhash3_x86_32() (#15375) @davidwendt
• Large strings support in cudf::merge (#15374) @davidwendt
• Enable test-reporting for pandas pytests in CI (#15369) @galipremsagar
• Use logical types in Parquet reader (#15365) @etseidl
• Add experimental make_strings_children utility (#15363) @davidwendt
• Forward-merge branch-24.04 to branch-24.06 (#15349) @bdice
• Fix CMake files in libcudf C++ examples to use existing libcudf build if present (#15348) @mhaseeb123
• Use ruff pydocstyle over pydocstyle pre-commit hook (#15345) @mroeschke
• Refactor stream mode setup for gtests (#15337) @davidwendt
• Benchmark decimal <--> floating conversions. (#15334) @pmattione-nvidia
• Avoid duplicate dask-cudf testing (#15333) @rjzamora
• Skip decode steps in Parquet reader when nullable columns have no nulls (#15332) @etseidl
• 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
• Clean up special casing in as_column for non-typed input (#15276) @mroeschke
• 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
• Refactor joins for conditional semis and antis (#14646) @DanialJavady96
• Eagerly populate the class dict for cudf.pandas proxy types (#14534) @shwina
• Some additional kernel thread index refactoring. (#14107) @bdice