[RELEASE] cudf v22.06 #10969

GPUtester · 2022-05-25T15:17:18Z

❄️ Code freeze for `branch-22.06` and v22.06 release

What does this mean?

Only critical/hotfix level issues should be merged into branch-22.06 until release (merging of this PR).

What is the purpose of this PR?

Update documentation
Allow testing for the new release
Enable a means to merge branch-22.06 into main for the release

This PR updates us to use black 22.3.0, which is now necessary because older versions of black are not compatible with current versions of Click (see psf/black#2964 is resolved). I've opened this for 22.06 since [I don't see any open PRs attempting to merge into 22.04](https://github.com/rapidsai/cudf/pulls?q=is%3Apr+is%3Aopen+base%3Abranch-22.04) anymore, but this issue will block CI (which runs style checks using pre-commit) so if necessary I can backport. Authors: - Vyas Ramasubramani (https://github.com/vyasr) Approvers: - Bradley Dice (https://github.com/bdice) - GALI PREM SAGAR (https://github.com/galipremsagar)

Adds back a comment that was accidentally removed in #10523. Authors: - Vyas Ramasubramani (https://github.com/vyasr) Approvers: - GALI PREM SAGAR (https://github.com/galipremsagar) URL: #10526

Resolves #10226. Depends on #10491. The default behavior of `Series.str.findall` should be to return list columns instead of an expanded DataFrame with a number of columns equal to the maximum number of matches found. This PR takes some steps towards that goal: - [x] Fix the behavior of `expand=False` to use `findall_records` and return a list column of strings (currently `expand=False` raises an error). - [x] Deprecate the use of `expand` so that the parameter can be removed in the future. - [x] Update tests. Authors: - Bradley Dice (https://github.com/bdice) Approvers: - GALI PREM SAGAR (https://github.com/galipremsagar) URL: #10459

This is a follow-up to #10523 that updates the conda environment now that the [conda-forge package should be available](conda-forge/black-feedstock#42). Authors: - Vyas Ramasubramani (https://github.com/vyasr) Approvers: - GALI PREM SAGAR (https://github.com/galipremsagar) - https://github.com/jakirkham - AJ Schmidt (https://github.com/ajschmidt8) URL: #10525

Noticed that when running pytests, cuDF was leaving a temporary file used for a specific test in the testing data folder without removing it. I think our tests mostly write to `tmp` to avoid this issue. In switching it to point to `tmp` I noticed the intended data is not being actually written to the file, instead it was writing the string `__repr__` of the generator. I also shrunk the data size by many orders of magnitude, because in the intended case where the data is meant to be truly generated, 30 mil ends up being a little cumbersome and slow. Authors: - https://github.com/brandon-b-miller Approvers: - GALI PREM SAGAR (https://github.com/galipremsagar) URL: #10524

Part of #10169 Authors: - https://github.com/brandon-b-miller Approvers: - Bradley Dice (https://github.com/bdice) URL: #10497

This PR includes the following changes: - Adds a `libcudf-tests` package to the `libcudf` recipe - This is a prerequisite for removing "Project Flash" from our build/CI scripts - The `libcudf-tests` package was added as an additional output to the existing `libcudf` recipe (which was renamed to `libcudf-split`) - Consolidates remaining C++ recipes into `libcudf-split` recipe - This gets rid of a lot of duplicate code between the recipes and reduces the number of times we have to call `conda build` in our CI scripts The result of consolidating the C++ recipes into a single `libcudf-split` recipe is that one top-level build occurs, which builds all of the C++ components (in `conda/recipes/libcudf/build.sh`) but does _not_ install them. The installation for each package occurs in the corresponding `conda/recipes/libcudf/install_libcudf.sh`, `conda/recipes/libcudf/install_libcudf_kafka.sh`, etc. scripts. There are some implications to these changes. Namely that **any top-level `host` requirement which includes a `run_exports` value (i.e. shared libraries) must now be manually specified in the `run` dependencies of the corresponding `outputs` package.** To help keep things DRY, dependency version specs can be specified in `conda/recipes/librmm/conda_build_config.yaml`. The exception here is the version spec used for `cudatoolkit` since that comes from an environment variable in the CI process. Authors: - AJ Schmidt (https://github.com/ajschmidt8) Approvers: - Vyas Ramasubramani (https://github.com/vyasr) - Jordan Jacobelli (https://github.com/Ethyling) - https://github.com/jakirkham - Jason Lowe (https://github.com/jlowe) URL: #10326

#9873 added static linking of the CUDA runtime by default in Java cudf builds from the `build-in-docker.sh`. At the end of the script is a sanity check that the CUDA runtime is _not_ statically linked which should have been removed, but it fails to trigger due to an empty `.so` file found during the build that causes an error in `readelf` and prevents the script from exiting early. This PR removes the check since a statically linked CUDA runtime is supported and tested. Authors: - Jason Lowe (https://github.com/jlowe) Approvers: - Jim Brennan (https://github.com/jbrennan333) - Gera Shegalov (https://github.com/gerashegalov) URL: #10532

[gpuCI] Forward-merge branch-22.04 to branch-22.06 [skip gpuci]

Closes #10129 Authors: - Vukasin Milovanovic (https://github.com/vuule) Approvers: - GALI PREM SAGAR (https://github.com/galipremsagar) - Bradley Dice (https://github.com/bdice) - Nghia Truong (https://github.com/ttnghia) URL: #10515

[gpuCI] Forward-merge branch-22.04 to branch-22.06 [skip gpuci]

…0541) This PR undoes #10535 (which was just a patch for cudf 22.04) on cudf 22.06 since we have implemented the longer term solution in #10523. Authors: - Vyas Ramasubramani (https://github.com/vyasr) Approvers: - AJ Schmidt (https://github.com/ajschmidt8) - Ashwin Srinath (https://github.com/shwina) URL: #10541

This PR removes some pip requirements files that are no longer used. These were previously introduced to support #7647 but that Dockerfile is no longer maintained in this repository. Authors: - Bradley Dice (https://github.com/bdice) Approvers: - https://github.com/brandon-b-miller - GALI PREM SAGAR (https://github.com/galipremsagar) - https://github.com/jakirkham URL: #10543

Refactored `Frame.memory_usage` to return a tuple of lists: (column_names, memory_usages). Motivation for this change is to remove redundent steps i.e., `dict`(`Frame.memory_usage`)->`unpack & dict` (`DataFrame.memory_usage`)->`unpack dict`(in `Series.init`). Choosing to remove `dict` being returned by `Frame.memory_usage` will now result in a 10% faster execution of external API. Not a huge speedup but it quickly adds up when `dask_cudf` is used. ```python In [1]: import cudf In [2]: df = cudf.DataFrame({'a':[1, 2, 3], 'b':['a', 'b', 'c'], 'd':[111, 123, 123]}) # THIS PR In [3]: %timeit df.memory_usage() 198 µs ± 3.44 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each) # branch-22.06 In [3]: %timeit df.memory_usage() 219 µs ± 726 ns per loop (mean ± std. dev. of 7 runs, 1,000 loops each) # branch-22.06 In [4]: %timeit dask_cudf.backends.sizeof_cudf_dataframe(df) 377 µs ± 5.67 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each) # this PR In [6]: %timeit dask_cudf.backends.sizeof_cudf_dataframe(df) 1.8 µs ± 14 ns per loop (mean ± std. dev. of 7 runs, 1,000,000 loops each) ``` Authors: - GALI PREM SAGAR (https://github.com/galipremsagar) Approvers: - Bradley Dice (https://github.com/bdice) - Vyas Ramasubramani (https://github.com/vyasr) - Ashwin Srinath (https://github.com/shwina) URL: #10537

Current PR is to adjust to the valid range of group index for cuDF API `cudf::strings::replace_with_backrefs`. 1. enable 0 as group index For now, the range of group index starts with 1, which doesn't include the special value 0. Zero-value as backref index usually refers the entire matching pattern. So does cuDF regexp system. Therefore, what we only need to do is lifting the restrictions to allow zero-value passed as the group index of back references. Example of zero-value index: input: `aa-11 b2b-345` pattern: `([a-z]+)-([0-9]+)` replacement: `${0}:${1}:${2};` output: ```aa-11:aa:11; b2b-345:b:345;``` 2. group index should not exceed group count For now, group indices can exceed group count. The exceeding ones will end up to be empty string. IMHO, it is better to throw an exception under this circumstance instead of ignoring these overflow indices. Authors: - Alfred Xu (https://github.com/sperlingxx) Approvers: - Jason Lowe (https://github.com/jlowe) - David Wendt (https://github.com/davidwendt) URL: #10530

Forward-merge branch-22.04 to branch-22.06

The Build Metrics Report was accidentally disabled in #10326. This will add the flags back to the `build.sh` that are required to generate the report during CI. Authors: - David Wendt (https://github.com/davidwendt) Approvers: - AJ Schmidt (https://github.com/ajschmidt8) URL: #10562

Adds Replace Backreferences section to the [Regex Features](https://docs.rapids.ai/api/libcudf/stable/md_regex.html) page to help document the replacement template patterns for `cudf::strings::replace_with_backref` API. Also, adds `cudf::strings::split_re` and `cudf::strings::split_record_re` to the regex APIs listed at the top of the page. And add a link to `regex_flags` where the line anchors and the `dot` pattern character are described. Authors: - David Wendt (https://github.com/davidwendt) Approvers: - Nghia Truong (https://github.com/ttnghia) - Vukasin Milovanovic (https://github.com/vuule) URL: #10560

Pin the CMake version for the cudf_kafka and libcudf yaml file Authors: - Robert Maynard (https://github.com/robertmaynard) Approvers: - AJ Schmidt (https://github.com/ajschmidt8) - Vyas Ramasubramani (https://github.com/vyasr) URL: #10570

This PR updates the version of Thrust from 1.15 to 1.16 ([changelog](https://github.com/NVIDIA/thrust/blob/main/CHANGELOG.md#thrust-1160)). This update is needed to fix compilation with GCC 11, because of some warnings-as-errors present in Thrust 1.15 with GCC 11 (such as this one from Thrust's copy of cub: https://github.com/NVIDIA/cub/pull/418). Notably, Thrust reduced the number of internal header inclusions: > [#1572](https://github.com/NVIDIA/thrust/pull/1572) Removed several unnecessary header includes. Downstream projects may need to update their includes if they were relying on this behavior. This change illuminated many missing includes in libcudf, so I added `#include <thrust/...>` for all thrust features used in each file (with help from a Python script). I included raw benchmarks that I recorded below. <details> <summary>Benchmarks:</summary> ``` Benchmark Time CPU Time Old Time New CPU Old CPU New -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- CopyIfElse/int16_no_nulls/4096/manual_time +0.0581 +0.0307 0 0 0 0 CopyIfElse/uint32_no_nulls/4096/manual_time +0.1308 +0.0463 0 0 0 0 CopyIfElse/uint32_no_nulls/32768/manual_time +0.1043 +0.0485 0 0 0 0 CopyIfElse/float64_no_nulls/4096/manual_time +0.0894 +0.0422 0 0 0 0 StringDateTime/from_days/32768/manual_time +0.0529 +0.0491 93 98 112 118 StringDateTime/to_days/1024/manual_time +0.0596 +0.0493 35 37 54 57 StringDateTime/to_days/32768/manual_time +0.0547 +0.0460 37 39 55 58 StringToDurations/to_durations_ms/1024/manual_time +0.0516 +0.0426 30 31 49 51 StringToDurations/to_durations_ms/32768/manual_time +0.0542 +0.0506 32 34 52 55 StringToDurations/to_durations_us/32768/manual_time +0.0520 +0.0440 32 34 52 55 StringsFromFixedPoint/strings_from_decimal64/16384/manual_time +0.0530 +0.0508 94 99 113 119 StringsToNumeric/strings_to_float32/1024/manual_time +0.0521 +0.0451 31 32 50 52 StringsToNumeric/strings_to_float64/16384/manual_time +0.0517 +0.0437 32 34 51 53 StringsToNumeric/strings_to_float64/65536/manual_time +0.0505 +0.0496 35 36 53 56 StringsToNumeric/strings_to_uint8/4096/manual_time +0.0559 +0.0466 24 25 43 45 StringsToNumeric/strings_to_uint8/65536/manual_time +0.0563 +0.0458 26 27 44 46 StringCopy/gather/4096/32/manual_time +0.0652 +0.0574 0 0 0 0 StringCopy/gather/4096/128/manual_time +0.0706 +0.0615 0 0 0 0 StringCopy/gather/4096/512/manual_time +0.0547 +0.0476 0 0 0 0 StringCopy/gather/32768/32/manual_time +0.0538 +0.0492 0 0 0 0 StringCopy/gather/32768/128/manual_time +0.0540 +0.0477 0 0 0 0 StringCopy/scatter/4096/32/manual_time +0.0571 +0.0526 0 0 0 0 StringCopy/scatter/32768/32/manual_time +0.0541 +0.0509 0 0 0 0 StringFindScalar/find_multi/4096/32/manual_time +0.0525 +0.0460 0 0 0 0 StringFindScalar/find_multi/32768/32/manual_time +0.0538 +0.0489 0 0 0 0 StringFindScalar/contains/4096/32/manual_time +0.0502 +0.0471 0 0 0 0 StringFindScalar/starts_with/4096/32/manual_time +0.0528 +0.0476 0 0 0 0 StringFindScalar/starts_with/4096/2048/manual_time +0.0575 +0.0475 0 0 0 0 StringFindScalar/starts_with/4096/8192/manual_time +0.0606 +0.0515 0 0 0 0 StringFindScalar/starts_with/32768/32/manual_time +0.0690 +0.0592 0 0 0 0 StringFindScalar/starts_with/32768/128/manual_time +0.0589 +0.0499 0 0 0 0 StringFindScalar/starts_with/32768/512/manual_time +0.0567 +0.0521 0 0 0 0 StringFindScalar/starts_with/32768/2048/manual_time +0.0517 +0.0501 0 0 0 0 StringFindScalar/starts_with/262144/32/manual_time +0.0555 +0.0525 0 0 0 0 StringFindScalar/ends_with/4096/2048/manual_time +0.0526 +0.0446 0 0 0 0 StringFindScalar/ends_with/4096/8192/manual_time +0.0568 +0.0485 0 0 0 0 StringFindScalar/ends_with/32768/32/manual_time +0.0654 +0.0567 0 0 0 0 StringFindScalar/ends_with/32768/512/manual_time +0.0546 +0.0502 0 0 0 0 StringFindScalar/ends_with/262144/32/manual_time +0.0523 +0.0517 0 0 0 0 RepeatStrings/scalar_times/256/16/manual_time +0.0555 +0.0501 0 0 0 0 RepeatStrings/scalar_times/1024/16/manual_time +0.0562 +0.0519 0 0 0 0 RepeatStrings/column_times/256/16/manual_time +0.0645 +0.0579 0 0 0 0 RepeatStrings/column_times/256/64/manual_time +0.0506 +0.0472 0 0 0 0 RepeatStrings/column_times/1024/16/manual_time +0.0643 +0.0578 0 0 0 0 RepeatStrings/column_times/4096/16/manual_time +0.0537 +0.0502 0 0 0 0 RepeatStrings/column_times/16384/16/manual_time +0.0565 +0.0514 0 0 0 0 RepeatStrings/compute_output_strings_sizes/256/16/manual_time +0.0626 +0.0490 0 0 0 0 RepeatStrings/compute_output_strings_sizes/256/64/manual_time +0.0539 +0.0434 0 0 0 0 RepeatStrings/compute_output_strings_sizes/256/256/manual_time +0.0694 +0.0525 0 0 0 0 RepeatStrings/compute_output_strings_sizes/1024/16/manual_time +0.0526 +0.0422 0 0 0 0 RepeatStrings/compute_output_strings_sizes/1024/64/manual_time +0.0630 +0.0493 0 0 0 0 RepeatStrings/compute_output_strings_sizes/1024/256/manual_time +0.0533 +0.0460 0 0 0 0 RepeatStrings/precomputed_sizes/256/16/manual_time +0.0674 +0.0602 0 0 0 0 RepeatStrings/precomputed_sizes/1024/16/manual_time +0.0544 +0.0488 0 0 0 0 RepeatStrings/precomputed_sizes/4096/16/manual_time +0.0531 +0.0492 0 0 0 0 RepeatStrings/precomputed_sizes/16384/16/manual_time +0.0522 +0.0470 0 0 0 0 StringReplace/slice/4096/32/manual_time +0.0559 +0.0534 0 0 0 0 StringReplace/slice/32768/32/manual_time +0.0509 +0.0472 0 0 0 0 StringSplit/split_ws/4096/32/manual_time +0.0507 +0.0493 0 0 0 0 StringSubstring/multi_position/4096/32/manual_time +0.0560 +0.0515 0 0 0 0 StringSubstring/delimiter/4096/32/manual_time +0.0532 +0.0504 0 0 0 0 StringSubstring/delimiter/32768/128/manual_time +0.0531 +0.0535 0 0 0 0 StringSubstring/multi_delimiter/4096/32/manual_time +0.0544 +0.0522 0 0 0 0 CsvWrite/string_file_output/23/0/manual_time -0.3111 -0.0110 1421 979 842 833 Shift/shift_ten_percent_nullable_out/32768/manual_time -0.0786 -0.0650 0 0 0 0 Shift/shift_full_nullable_out/1073741824/manual_time +0.0511 +0.0510 11 11 11 11 TypeDispatcher/fp64_bandwidth_host/8/1024/1/manual_time +0.1281 +0.0638 18970 21400 37938 40357 TypeDispatcher/fp64_bandwidth_host/4/2048/1/manual_time +0.0928 +0.0345 11556 12629 30463 31513 TypeDispatcher/fp64_bandwidth_host/2/4096/1/manual_time +0.0768 +0.0270 7421 7991 26234 26943 TypeDispatcher/fp64_bandwidth_host/1/8192/1/manual_time +0.0729 +0.0209 5029 5396 24111 24615 TypeDispatcher/fp64_bandwidth_device/8/1024/1/manual_time +0.1176 +0.0632 16518 18460 35703 37961 TypeDispatcher/fp64_bandwidth_device/4/2048/1/manual_time +0.0787 +0.0457 14424 15559 33546 35079 TypeDispatcher/fp64_bandwidth_device/2/4096/1/manual_time +0.0500 +0.0327 13594 14274 32740 33811 TypeDispatcher/fp64_bandwidth_no/2/1024/1/manual_time +0.0590 +0.0131 5065 5364 23966 24281 TypeDispatcher/fp64_bandwidth_no/8/1024/1/manual_time +0.2305 +0.0699 6912 8506 25803 27607 TypeDispatcher/fp64_bandwidth_no/1/2048/1/manual_time +0.0574 +0.0120 4854 5133 23782 24067 TypeDispatcher/fp64_bandwidth_no/4/2048/1/manual_time +0.1602 +0.0461 6010 6973 24906 26054 TypeDispatcher/fp64_bandwidth_no/2/4096/1/manual_time +0.0949 +0.0330 5583 6113 24469 25275 TypeDispatcher/fp64_bandwidth_no/4/4096/1/manual_time +0.0623 +0.0175 6991 7427 26088 26545 TypeDispatcher/fp64_bandwidth_no/8/4096/1/manual_time +0.0521 +0.0173 8953 9419 28000 28484 TypeDispatcher/fp64_bandwidth_no/1/8192/1/manual_time +0.0607 +0.0257 5225 5542 24107 24727 TypeDispatcher/fp64_bandwidth_no/2/8192/1/manual_time +0.0588 +0.0115 5964 6315 25052 25341 TypeDispatcher/fp64_bandwidth_no/1/16384/1/manual_time +0.0541 +0.0119 5443 5737 24515 24806 TextTokenize/ngrams/2097152/128/manual_time +0.0624 +0.0623 10 10 10 10 MultibyteSplitBenchmark/multibyte_split_simple/1/1/1/32768/manual_time +0.4019 +0.4024 8 12 8 12 MultibyteSplitBenchmark/multibyte_split_simple/2/1/1/32768/manual_time +0.4099 +0.4073 8 12 8 12 MultibyteSplitBenchmark/multibyte_split_simple/1/4/1/32768/manual_time +0.3999 +0.3961 8 12 8 12 MultibyteSplitBenchmark/multibyte_split_simple/2/4/1/32768/manual_time +0.3969 +0.3980 8 12 8 12 MultibyteSplitBenchmark/multibyte_split_simple/1/7/1/32768/manual_time +0.4107 +0.3971 8 12 8 12 MultibyteSplitBenchmark/multibyte_split_simple/2/7/1/32768/manual_time +0.3833 +0.3948 8 12 8 12 MultibyteSplitBenchmark/multibyte_split_simple/1/1/25/32768/manual_time +0.3807 +0.3772 9 12 9 12 MultibyteSplitBenchmark/multibyte_split_simple/2/1/25/32768/manual_time +0.3834 +0.3702 9 12 9 12 MultibyteSplitBenchmark/multibyte_split_simple/1/4/25/32768/manual_time +0.3646 +0.3661 9 12 9 12 MultibyteSplitBenchmark/multibyte_split_simple/2/4/25/32768/manual_time +0.3722 +0.3743 9 12 9 12 MultibyteSplitBenchmark/multibyte_split_simple/1/7/25/32768/manual_time +0.3575 +0.3664 9 12 9 12 MultibyteSplitBenchmark/multibyte_split_simple/2/7/25/32768/manual_time +0.3761 +0.3744 9 12 9 12 MultibyteSplitBenchmark/multibyte_split_simple/1/4/1/1073741824/manual_time -0.1017 -0.1040 1681 1510 1681 1506 MultibyteSplitBenchmark/multibyte_split_simple/2/4/1/1073741824/manual_time -0.1817 -0.1817 4102 3357 4101 3356 MultibyteSplitBenchmark/multibyte_split_simple/0/7/25/1073741824/manual_time -0.0704 -0.0704 345 320 345 320 OVERALL_GEOMEAN +0.0974 +0.0970 0 0 0 0 Groupby/BasicSumScan/100000000/manual_time +0.2947 +0.2947 135 175 135 175 CsvRead/decimal_file_input/35/0/manual_time +0.0508 +0.0511 151 159 151 159 ReductionScan/double_nulls/100000/manual_time +0.0721 +0.0609 22874 24524 40726 43206 OrcWrite/integral_file_output/30/0/32/1/0/manual_time -0.1923 -0.0371 913 738 763 735 OrcWrite/integral_file_output/30/0/1/0/0/manual_time +0.2668 -0.0297 754 955 722 701 OrcWrite/integral_file_output/30/1000/1/0/0/manual_time -0.1090 -0.0510 986 878 725 688 OrcWrite/integral_file_output/30/0/32/0/0/manual_time +0.0594 -0.0575 981 1039 738 696 OrcWrite/integral_buffer_output/30/1000/32/1/1/manual_time +0.0882 +0.0885 85 92 85 92 OrcWrite/integral_buffer_output/30/1000/32/0/1/manual_time -0.0966 -0.0955 98 89 98 89 OrcWrite/floats_file_output/31/0/1/1/0/manual_time +0.0600 -0.0538 737 781 737 697 OrcWrite/floats_file_output/31/0/32/1/0/manual_time +0.0670 +0.0021 1203 1284 715 717 OrcWrite/floats_file_output/31/0/1/0/0/manual_time -0.2406 -0.0605 865 657 698 656 OrcWrite/floats_file_output/31/1000/1/0/0/manual_time -0.2006 -0.0642 1122 897 706 660 OrcWrite/floats_file_output/31/0/32/0/0/manual_time -0.1759 -0.0563 1131 932 708 668 OrcWrite/floats_file_output/31/1000/32/0/0/manual_time -0.1600 -0.0640 1095 919 702 657 OrcWrite/decimal_file_output/35/1000/1/0/0/manual_time +0.1622 -0.0865 1110 1290 588 537 OrcWrite/timestamps_file_output/33/0/1/0/0/manual_time +0.1884 -0.0494 552 657 552 524 OrcWrite/timestamps_file_output/33/1000/1/0/0/manual_time +0.1409 +0.0064 650 742 541 544 OrcWrite/list_file_output/24/0/1/0/0/manual_time -0.0723 -0.0788 713 661 711 655 OrcWrite/list_file_output/24/1000/1/0/0/manual_time +0.0935 -0.0468 696 761 689 657 Concatenate/BM_concatenate_nullable_false/4096/2/manual_time +0.1055 +0.0672 0 0 0 0 Concatenate/BM_concatenate_nullable_false/512/8/manual_time +0.0548 +0.0379 0 0 0 0 Concatenate/BM_concatenate_nullable_true/32768/8/manual_time +0.0501 +0.0415 0 0 0 0 Concatenate/BM_concatenate_nullable_true/64/64/manual_time +0.0570 +0.0400 0 0 0 0 Concatenate/BM_concatenate_nullable_true/512/64/manual_time +0.0894 +0.0606 0 0 0 0 Concatenate/BM_concatenate_tables_nullable_false/4096/2/2/manual_time +0.1086 +0.0771 0 0 0 0 Concatenate/BM_concatenate_tables_nullable_false/512/8/2/manual_time +0.0920 +0.0828 0 0 0 0 Concatenate/BM_concatenate_tables_nullable_false/4096/8/2/manual_time +0.0549 +0.0502 0 0 0 0 Concatenate/BM_concatenate_tables_nullable_false/256/32/2/manual_time +0.1036 +0.1009 1 1 1 1 Concatenate/BM_concatenate_tables_nullable_false/512/32/2/manual_time +0.0827 +0.0813 1 1 1 1 Concatenate/BM_concatenate_tables_nullable_false/4096/32/2/manual_time +0.0788 +0.0768 1 1 1 1 Concatenate/BM_concatenate_tables_nullable_false/256/8/64/manual_time +0.0525 +0.0490 0 0 0 0 ParquetRead/integral_buffer_input/29/1000/1/0/1/manual_time +0.0929 +0.0928 46 50 46 50 ParquetRead/timestamps_file_input/33/0/32/0/0/manual_time -0.0896 -0.0897 127 116 128 116 OrcRead/integral_buffer_input/30/1000/1/0/1/manual_time +0.1087 +0.1087 88 97 88 97 OrcRead/floats_file_input/31/0/1/1/0/manual_time +0.1528 +0.1526 134 155 134 155 OrcRead/floats_buffer_input/31/1000/1/0/1/manual_time +0.1349 +0.1350 75 85 75 85 OrcRead/decimal_buffer_input/35/0/1/0/1/manual_time -0.1137 -0.1137 264 234 264 234 OrcRead/string_file_input/23/0/1/0/0/manual_time -0.0750 -0.0750 162 150 162 150 OrcRead/string_file_input/23/0/32/0/0/manual_time -0.0963 -0.0963 163 147 163 147 OrcRead/string_buffer_input/23/0/32/0/1/manual_time -0.1586 -0.0139 114 96 97 96 OrcRead/list_file_input/24/1000/1/0/0/manual_time +0.0515 +0.0517 176 185 176 185 OrcRead/list_file_input/24/0/32/0/0/manual_time +0.0925 +0.0922 173 189 173 189 OrcRead/list_buffer_input/24/0/1/1/1/manual_time -0.1288 -0.1291 139 121 139 121 BINARYOP<int32_t, TreeType::IMBALANCED_LEFT, true>/binaryop_int32_imbalanced_reuse/100000/2/manual_time +0.0533 +0.0381 0 0 0 0 COMPILED_BINARYOP/NULL_MAX_decimal32_decimal32_decimal32/100000/manual_time +0.0509 +0.0320 13 14 32 33 COMPILED_BINARYOP/NULL_MIN_timestamp_D_timestamp_s_timestamp_s/10000/manual_time +0.0509 +0.0374 11 12 30 31 ParquetWrite/integral_file_output/29/0/1/1/0/manual_time +0.3011 +0.0605 726 945 726 770 ParquetWrite/integral_file_output/29/1000/1/1/0/manual_time +0.0812 +0.0804 311 336 310 335 ParquetWrite/integral_file_output/29/0/32/1/0/manual_time +0.3497 +0.0714 948 1279 734 786 ParquetWrite/integral_file_output/29/1000/32/1/0/manual_time +0.0559 +0.0558 62 65 62 65 ParquetWrite/integral_file_output/29/0/1/0/0/manual_time +0.1829 +0.0679 702 830 700 748 ParquetWrite/integral_file_output/29/1000/1/0/0/manual_time +0.0829 +0.0852 284 307 283 307 ParquetWrite/integral_file_output/29/0/32/0/0/manual_time -0.3273 +0.0451 1063 715 683 714 ParquetWrite/integral_file_output/29/1000/32/0/0/manual_time +0.0835 +0.0834 58 63 58 63 ParquetWrite/integral_buffer_output/29/0/1/1/1/manual_time +0.0608 +0.0609 874 927 874 927 ParquetWrite/floats_file_output/31/0/1/1/0/manual_time +0.1916 +0.0634 694 827 693 737 ParquetWrite/floats_file_output/31/1000/1/1/0/manual_time +0.0560 +0.0553 217 229 217 229 ParquetWrite/floats_file_output/31/0/32/1/0/manual_time +0.0517 +0.0546 1020 1073 721 760 ParquetWrite/floats_file_output/31/1000/32/1/0/manual_time +0.1149 +0.0631 45 50 39 42 ParquetWrite/floats_file_output/31/0/1/0/0/manual_time +0.1165 +0.0471 880 983 664 695 ParquetWrite/floats_file_output/31/1000/1/0/0/manual_time +0.3996 +0.0038 237 331 219 219 ParquetWrite/floats_file_output/31/0/32/0/0/manual_time +0.3109 +0.0673 666 873 666 710 ParquetWrite/floats_file_output/31/1000/32/0/0/manual_time +0.0798 +0.0790 38 41 38 41 ParquetWrite/floats_buffer_output/31/1000/1/1/1/manual_time +0.0710 +0.0709 208 223 208 223 ParquetWrite/floats_buffer_output/31/0/32/1/1/manual_time +0.0677 +0.0673 732 782 732 782 ParquetWrite/floats_buffer_output/31/0/1/0/1/manual_time +0.0663 +0.0659 682 728 682 727 ParquetWrite/floats_buffer_output/31/1000/1/0/1/manual_time +0.0785 +0.0780 188 203 188 203 ParquetWrite/decimal_file_output/35/0/1/1/0/manual_time +0.0655 +0.0636 277 296 277 295 ParquetWrite/decimal_file_output/35/1000/1/1/0/manual_time +0.0657 +0.0634 242 258 242 257 ParquetWrite/decimal_file_output/35/0/32/1/0/manual_time +0.1194 +0.0577 291 325 290 307 ParquetWrite/decimal_file_output/35/1000/32/1/0/manual_time +0.0852 +0.0836 170 185 170 184 ParquetWrite/decimal_file_output/35/0/1/0/0/manual_time +0.3802 +0.0372 346 477 325 337 ParquetWrite/decimal_file_output/35/1000/1/0/0/manual_time +0.8101 +0.1543 374 677 373 431 ParquetWrite/decimal_file_output/35/0/32/0/0/manual_time +1.4742 +0.0541 328 812 327 344 ParquetWrite/decimal_file_output/35/1000/32/0/0/manual_time +0.5398 +0.0463 391 603 390 409 ParquetWrite/decimal_buffer_output/35/0/1/1/1/manual_time +0.0571 +0.0570 301 318 301 318 ParquetWrite/decimal_buffer_output/35/1000/1/1/1/manual_time +0.1955 +0.1953 253 302 253 302 ParquetWrite/decimal_buffer_output/35/0/32/1/1/manual_time +0.0655 +0.0641 306 326 306 325 ParquetWrite/decimal_buffer_output/35/0/1/0/1/manual_time +0.0595 +0.0591 381 404 381 404 ParquetWrite/decimal_buffer_output/35/1000/1/0/1/manual_time +0.0650 +0.0643 515 548 515 548 ParquetWrite/decimal_buffer_output/35/0/32/0/1/manual_time +0.0595 +0.0591 386 409 386 409 ParquetWrite/decimal_buffer_output/35/1000/32/0/1/manual_time +0.0595 +0.0590 517 547 516 547 ParquetWrite/timestamps_file_output/33/0/1/1/0/manual_time +0.0566 +0.0580 724 765 721 762 ParquetWrite/timestamps_file_output/33/1000/1/1/0/manual_time -0.6229 -0.0258 526 198 203 198 ParquetWrite/timestamps_file_output/33/0/32/1/0/manual_time -0.0955 +0.0444 928 840 733 766 ParquetWrite/timestamps_file_output/33/1000/32/1/0/manual_time +0.0794 +0.0725 36 39 36 39 ParquetWrite/timestamps_file_output/33/0/1/0/0/manual_time +0.2140 +0.0788 626 760 626 676 ParquetWrite/timestamps_file_output/33/1000/1/0/0/manual_time +0.0778 +0.0760 174 188 174 187 ParquetWrite/timestamps_file_output/33/0/32/0/0/manual_time +0.4682 +0.0758 636 934 636 684 ParquetWrite/timestamps_file_output/33/1000/32/0/0/manual_time +0.0938 +0.0929 34 38 34 38 ParquetWrite/timestamps_buffer_output/33/0/1/1/1/manual_time +0.0559 +0.0559 837 884 837 884 ParquetWrite/timestamps_buffer_output/33/0/1/0/1/manual_time +0.0612 +0.0612 714 758 714 758 ParquetWrite/timestamps_buffer_output/33/1000/1/0/1/manual_time -0.2022 -0.2021 229 183 229 183 ParquetWrite/timestamps_buffer_output/33/0/32/0/1/manual_time +0.0609 +0.0596 721 765 721 764 ParquetWrite/string_file_output/23/0/1/1/0/manual_time +0.1674 +0.1004 1231 1437 869 956 ParquetWrite/string_file_output/23/1000/1/1/0/manual_time +0.0748 +0.0675 124 133 107 114 ParquetWrite/string_file_output/23/0/32/1/0/manual_time +0.0497 +0.0541 1197 1256 893 942 ParquetWrite/string_file_output/23/1000/32/1/0/manual_time +0.0822 +0.0551 38 41 34 35 ParquetWrite/string_file_output/23/0/1/0/0/manual_time +0.3477 +0.0668 892 1202 828 883 ParquetWrite/string_file_output/23/1000/1/0/0/manual_time +0.1446 +0.1474 98 113 98 113 ParquetWrite/string_file_output/23/1000/32/0/0/manual_time +0.0596 +0.0590 33 35 33 35 ParquetWrite/string_buffer_output/23/1000/1/0/1/manual_time +0.0598 +0.0594 104 110 104 110 ParquetWrite/string_void_output/23/1000/32/0/2/manual_time -0.3901 +0.0015 34 21 21 21 ParquetWrite/list_file_output/24/0/1/0/0/manual_time -0.1313 +0.0831 1033 897 828 897 ParquetWrite/list_file_output/24/1000/1/0/0/manual_time +0.0559 +0.0537 521 550 521 549 ParquetWrite/list_file_output/24/0/32/0/0/manual_time -0.1942 -0.0129 1183 954 888 877 ContiguousSplit/1Gb512ColsValidity/1073741824/512/256/1/iterations:8/manual_time +0.0660 +0.0659 30 32 30 32 AST<int32_t, TreeType::IMBALANCED_LEFT, false, true>/ast_int32_imbalanced_unique_nulls/1000000/1/manual_time +0.0540 +0.0453 0 0 0 0 AST<int32_t, TreeType::IMBALANCED_LEFT, false, true>/ast_int32_imbalanced_unique_nulls/10000000/1/manual_time +0.0657 +0.0642 1 1 1 1 AST<int32_t, TreeType::IMBALANCED_LEFT, false, true>/ast_int32_imbalanced_unique_nulls/100000000/1/manual_time +0.0704 +0.0702 8 9 8 9 AST<int32_t, TreeType::IMBALANCED_LEFT, true, true>/ast_int32_imbalanced_reuse_nulls/1000000/1/manual_time +0.0549 +0.0473 0 0 0 0 AST<int32_t, TreeType::IMBALANCED_LEFT, true, true>/ast_int32_imbalanced_reuse_nulls/10000000/1/manual_time +0.0745 +0.0723 1 1 1 1 AST<int32_t, TreeType::IMBALANCED_LEFT, true, true>/ast_int32_imbalanced_reuse_nulls/100000000/1/manual_time +0.0758 +0.0755 7 8 7 8 AST<double, TreeType::IMBALANCED_LEFT, false, true>/ast_double_imbalanced_unique_nulls/10000000/1/manual_time +0.0534 +0.0522 1 1 1 1 AST<double, TreeType::IMBALANCED_LEFT, false, true>/ast_double_imbalanced_unique_nulls/10000000/10/manual_time +0.0610 +0.0606 3 3 3 3 AST<double, TreeType::IMBALANCED_LEFT, false, true>/ast_double_imbalanced_unique_nulls/100000000/1/manual_time +0.0538 +0.0537 9 10 9 10 AST<double, TreeType::IMBALANCED_LEFT, false, true>/ast_double_imbalanced_unique_nulls/100000000/10/manual_time +0.0579 +0.0579 26 27 26 27 Rank/nulls/1024/manual_time +0.7608 +0.6280 0 0 0 0 Rank/nulls/4096/manual_time +0.2739 +0.2437 0 0 0 0 Rank/nulls/32768/manual_time +0.1599 +0.1469 0 0 0 0 Rank/nulls/262144/manual_time +0.0813 +0.0793 0 0 0 0 Rank/nulls/2097152/manual_time -0.4178 -0.4162 5 3 5 3 Rank/nulls/16777216/manual_time -0.3688 -0.3686 45 28 45 28 Rank/nulls/67108864/manual_time -0.3576 -0.3576 181 117 181 117 Sort<false>/unstable_no_nulls/1024/8/manual_time +0.2655 +0.2554 1 1 1 1 Sort<false>/unstable_no_nulls/4096/8/manual_time +0.3212 +0.3081 0 1 1 1 Sort<false>/unstable_no_nulls/32768/8/manual_time +0.1430 +0.1395 1 1 1 1 Sort<false>/unstable_no_nulls/262144/8/manual_time +0.1080 +0.1064 1 1 1 2 Sort<false>/unstable_no_nulls/2097152/8/manual_time -0.0740 -0.0740 15 14 15 14 Sort<false>/unstable_no_nulls/16777216/8/manual_time -0.0882 -0.0882 215 196 215 196 Sort<false>/unstable_no_nulls/67108864/8/manual_time -0.0848 -0.0848 1170 1071 1170 1071 Sort<true>/stable_no_nulls/1024/8/manual_time +0.2656 +0.2553 1 1 1 1 Sort<true>/stable_no_nulls/4096/8/manual_time +0.3215 +0.3081 0 1 1 1 Sort<true>/stable_no_nulls/32768/8/manual_time +0.1427 +0.1392 1 1 1 1 Sort<true>/stable_no_nulls/262144/8/manual_time +0.1082 +0.1066 1 1 1 2 Sort<true>/stable_no_nulls/2097152/8/manual_time -0.0737 -0.0735 15 14 15 14 Sort<true>/stable_no_nulls/16777216/8/manual_time -0.0889 -0.0887 215 196 215 196 Sort<true>/stable_no_nulls/67108864/8/manual_time -0.0848 -0.0846 1170 1071 1170 1071 Sort<false>/unstable/1024/1/manual_time +0.8698 +0.7017 0 0 0 0 Sort<false>/unstable/4096/1/manual_time +0.2846 +0.2506 0 0 0 0 Sort<false>/unstable/32768/1/manual_time +0.1640 +0.1492 0 0 0 0 Sort<false>/unstable/262144/1/manual_time +0.0818 +0.0794 0 0 0 0 Sort<false>/unstable/2097152/1/manual_time -0.4431 -0.4414 5 3 5 3 Sort<false>/unstable/16777216/1/manual_time -0.4282 -0.4280 38 22 38 22 Sort<false>/unstable/67108864/1/manual_time -0.4168 -0.4168 155 90 155 90 Sort<false>/unstable/1024/8/manual_time +0.2213 +0.2142 1 1 1 1 Sort<false>/unstable/4096/8/manual_time +0.2784 +0.2687 1 1 1 1 Sort<false>/unstable/32768/8/manual_time +0.1115 +0.1094 1 1 1 1 Sort<false>/unstable/262144/8/manual_time +0.1030 +0.1016 2 2 2 2 Sort<true>/stable/1024/1/manual_time +0.8684 +0.7016 0 0 0 0 Sort<true>/stable/4096/1/manual_time +0.2860 +0.2517 0 0 0 0 Sort<true>/stable/32768/1/manual_time +0.1638 +0.1497 0 0 0 0 Sort<true>/stable/262144/1/manual_time +0.0817 +0.0798 0 0 0 0 Sort<true>/stable/2097152/1/manual_time -0.4431 -0.4415 5 3 5 3 Sort<true>/stable/16777216/1/manual_time -0.4279 -0.4277 38 22 38 22 Sort<true>/stable/67108864/1/manual_time -0.4176 -0.4176 155 90 155 90 Sort<true>/stable/1024/8/manual_time +0.2211 +0.2138 1 1 1 1 Sort<true>/stable/4096/8/manual_time +0.2808 +0.2706 1 1 1 1 Sort<true>/stable/32768/8/manual_time +0.1117 +0.1096 1 1 1 1 Sort<true>/stable/262144/8/manual_time +0.1029 +0.1013 2 2 2 2 Sort/strings/262144/manual_time -0.0781 -0.0777 4 4 4 4 Scatter/double_coalesce_x/2048/2/manual_time +0.0614 +0.0472 27988 29705 46846 49057 Scatter/double_coalesce_x/32768/2/manual_time +0.0637 +0.0522 30209 32133 47991 50496 Scatter/double_coalesce_x/131072/2/manual_time +0.0558 +0.0444 37821 39932 54883 57321 Scatter/double_coalesce_x/1024/4/manual_time +0.0811 +0.0663 53699 58053 72617 77434 Scatter/double_coalesce_x/2048/4/manual_time +0.0535 +0.0468 56040 59038 74848 78348 Scatter/double_coalesce_x/4096/4/manual_time +0.0514 +0.0449 56187 59073 74930 78291 Scatter/double_coalesce_x/8192/4/manual_time +0.0516 +0.0452 56747 59674 75140 78533 Scatter/double_coalesce_x/16384/4/manual_time +0.0520 +0.0479 57412 60400 75292 78895 Scatter/double_coalesce_x/32768/4/manual_time +0.0610 +0.0544 58151 61699 75398 79499 Scatter/double_coalesce_x/1024/8/manual_time +0.0526 +0.0486 110089 115882 129032 135301 Scatter/double_coalesce_x/2048/8/manual_time +0.0546 +0.0506 110864 116921 129784 136352 Scatter/double_coalesce_x/4096/8/manual_time +0.0612 +0.0554 110733 117506 129306 136465 Scatter/double_coalesce_x/8192/8/manual_time +0.0635 +0.0579 111614 118703 129727 137233 Scatter/double_coalesce_x/16384/8/manual_time +0.0665 +0.0604 111918 119366 129458 137275 Scatter/double_coalesce_x/32768/8/manual_time +0.0545 +0.0543 114993 121260 131951 139113 Scatter/double_coalesce_x/65536/8/manual_time +0.0619 +0.0560 119167 126540 136092 143717 Scatter/double_coalesce_o/2048/2/manual_time +0.0542 +0.0418 29300 30889 48197 50211 Scatter/double_coalesce_o/32768/2/manual_time +0.0556 +0.0464 32069 33851 49914 52229 Scatter/double_coalesce_o/1024/4/manual_time +0.0684 +0.0569 56480 60346 75468 79761 Scatter/double_coalesce_o/8192/4/manual_time +0.0572 +0.0497 59554 62960 77958 81834 Scatter/double_coalesce_o/16384/4/manual_time +0.0572 +0.0525 59839 63260 77704 81781 Scatter/double_coalesce_o/32768/4/manual_time +0.0564 +0.0514 62493 66015 79779 83883 Scatter/double_coalesce_o/1024/8/manual_time +0.0566 +0.0515 112968 119360 131925 138723 Scatter/double_coalesce_o/2048/8/manual_time +0.0565 +0.0518 113151 119548 132028 138870 Scatter/double_coalesce_o/4096/8/manual_time +0.0594 +0.0545 114566 121374 133078 140333 Scatter/double_coalesce_o/8192/8/manual_time +0.0587 +0.0534 116146 122963 134282 141449 Scatter/double_coalesce_o/16384/8/manual_time +0.0663 +0.0597 116445 124161 134038 142046 Scatter/double_coalesce_o/32768/8/manual_time +0.0555 +0.0566 122258 129043 139016 146891 Scatter/double_coalesce_o/65536/8/manual_time +0.0553 +0.0498 133373 140749 150403 157896 Quantiles/no_nulls/65536/4/1/manual_time +0.1394 +0.1370 1 1 1 1 Quantiles/no_nulls/262144/4/1/manual_time +0.1372 +0.1348 1 1 1 1 Quantiles/no_nulls/1048576/4/1/manual_time -0.0944 -0.0943 6 5 6 5 Quantiles/no_nulls/4194304/4/1/manual_time -0.1068 -0.1070 35 32 35 32 Quantiles/no_nulls/16777216/4/1/manual_time -0.0882 -0.0884 210 191 210 191 Quantiles/no_nulls/67108864/4/1/manual_time -0.0855 -0.0858 1148 1050 1148 1050 Quantiles/no_nulls/65536/8/1/manual_time +0.1312 +0.1290 1 1 1 1 Quantiles/no_nulls/262144/8/1/manual_time +0.1058 +0.1044 1 2 1 2 Quantiles/no_nulls/4194304/8/1/manual_time -0.0982 -0.0984 37 33 37 33 Quantiles/no_nulls/16777216/8/1/manual_time -0.0886 -0.0888 215 196 215 196 Quantiles/no_nulls/67108864/8/1/manual_time -0.0866 -0.0868 1173 1071 1173 1071 Quantiles/no_nulls/65536/4/4/manual_time +0.1413 +0.1385 1 1 1 1 Quantiles/no_nulls/262144/4/4/manual_time +0.1355 +0.1332 1 1 1 1 Quantiles/no_nulls/1048576/4/4/manual_time -0.0944 -0.0943 6 5 6 5 Quantiles/no_nulls/4194304/4/4/manual_time -0.1061 -0.1063 35 32 35 32 Quantiles/no_nulls/16777216/4/4/manual_time -0.0877 -0.0879 210 191 210 191 Quantiles/no_nulls/67108864/4/4/manual_time -0.0863 -0.0865 1149 1050 1149 1049 Quantiles/no_nulls/65536/8/4/manual_time +0.1328…

[gpuCI] Forward-merge branch-22.04 to branch-22.06 [skip gpuci]

This PR upgrades `arrow-cpp` & `pyarrow` to `7.0.0` from `6.0.1` Authors: - GALI PREM SAGAR (https://github.com/galipremsagar) Approvers: - Robert Maynard (https://github.com/robertmaynard) - AJ Schmidt (https://github.com/ajschmidt8) URL: #10503

Just noticed that the `classifiers` of the python packages doesn't include Python v3.9 but includes Python v3.7. Fixed. Authors: - Mads R. B. Kristensen (https://github.com/madsbk) Approvers: - GALI PREM SAGAR (https://github.com/galipremsagar) URL: #10579

Corrects the [Modules](https://docs.rapids.ai/api/libcudf/nightly/modules.html) page where the `lists_filling` group appears at the bottom: ![image](https://user-images.githubusercontent.com/45795991/161142554-b78b8c2b-49dd-4958-8d2f-df3aa1720b86.png) The `lists_filling` group is added to the appropriate section in the [`doxygen_groups.h`](https://github.com/rapidsai/cudf/blob/branch-22.06/cpp/include/doxygen_groups.h) file. Also added a doxygen description for `namespace lists` so it will appear in the [Namespace List](https://docs.rapids.ai/api/libcudf/nightly/namespaces.html) page. This becomes an easy way to find the documentation fo all the `lists` APIs. Authors: - David Wendt (https://github.com/davidwendt) Approvers: - Nghia Truong (https://github.com/ttnghia) - https://github.com/nvdbaranec URL: #10561

…UDA runtime (#10585) Fixes #10571. This fixes the JNI CMakeLists.txt so that RMM will automatically get the `RMM_STATIC_CUDART` define added to the build when `CUDA_STATIC_RUNTIME=ON`. Verified by building with Javva CI Dockerfile with static CUDA runtime and examining the build command-lines and flag definitions in java/target/cmake-build/CMakeFiles. Authors: - Jason Lowe (https://github.com/jlowe) Approvers: - Alessandro Bellina (https://github.com/abellina) URL: #10585

Fixes `thrust.patch` to patch the CUB source for `sort` to minimize the inlining of the comparator functor. The build was updated in #10489 to thrust-1.16 which includes change to thrust sort using CUB's `DeviceMergeSort`. This means the previous patch does not apply to the new thrust/cub source. This dramatically increased the build for `sort.cu` and other related source files as can be seen in this Build Metrics Report from #10489: https://gpuci.gpuopenanalytics.com/job/rapidsai/job/gpuci/job/cudf/job/prb/job/cudf-cpu-cuda-build/CUDA=11.5/8633/Build_20Metrics_20Report/ This PR moves the `pragma unroll` changes into the appropriate CUB source files reducing the build time back to the previous levels (or close to it I hope). Authors: - David Wendt (https://github.com/davidwendt) Approvers: - Bradley Dice (https://github.com/bdice) - Nghia Truong (https://github.com/ttnghia) - Vyas Ramasubramani (https://github.com/vyasr) URL: #10577

This PR removes the `ColumnBase.__getitem__` method, which is heavily overloaded and easy to abuse, and changes everywhere that called it to use the appropriate method. There turn out to be exactly two places in the code that actually require the current implementation of this method, Series and Index indexing, so this functionality has been moved into `SingleColumnFrame`. Removing `__getitem__` also means that we no longer need to explicitly fail on `__iter__` and `__array__` since there is no longer an implicit fallback. The one downside to this now is that it _is_ possible to create a numpy array from a column. However, it won't make a numpy array from the data, it will create an object dtype 0-D array _containing_ the column. This is how `np.array` and `np.asarray` behave for normal objects, so I think this behavior is fine for us too. ColumnBase is (for now) an internal object, so we don't need to provide super helpful error messages, and for developers it should be fairly obvious what is wrong if they try to do this conversion: ``` >>> import cudf >>> import numpy as np >>> s = cudf.Series([1]) >>> arr = np.array(s._column) >>> arr.ndim 0 >>> arr[0] Traceback (most recent call last): File "<stdin>", line 1, in <module> IndexError: too many indices for array: array is 0-dimensional, but 1 were indexed >>> arr array(<cudf.core.column.numerical.NumericalColumn object at 0x7efeddf634c0> [ 1 ] dtype: int64, dtype=object) ``` That being said, I can put back the `__array__` implementation if people feel strongly about it. Authors: - Vyas Ramasubramani (https://github.com/vyasr) Approvers: - Ashwin Srinath (https://github.com/shwina) - Ram (Ramakrishna Prabhu) (https://github.com/rgsl888prabhu) URL: #10516

PR #10489 updated from Thrust 1.15 to Thrust 1.16. However, this appears to be causing conflicts with other repositories -- [cuSpatial](rapidsai/cuspatial#511 (comment)) and cuGraph have reported issues where their builds are finding Thrust 1.16 from libcudf instead of Thrust 1.15 which is [currently pinned by rapids-cmake](https://github.com/rapidsai/rapids-cmake/blob/06a657281cdd83781e49afcdbb39abc491eeab17/rapids-cmake/cpm/versions.json#L26). This PR is intended to unblock local builds and CI builds for other RAPIDS packages until we are able to identify the root cause (which may be due to CMake include path orderingsrapids-cmake). Last time Thrust was updated, [rapids-cmake was updated](rapidsai/rapids-cmake#138) one day before [libcudf was updated](#9912). That may explain why we didn't notice this problem with the 1.15 update. The plan I currently have in mind is: 1. Merge this PR to roll back libcudf to Thrust 1.15 (and revert the patch for Thrust 1.16 [10577](#10577)). This will hopefully unblock CI for cugraph and cuspatial. 2. Try to work out whatever issues with CMake / include paths may exist. 3. Prepare all rapids-cmake repos for Thrust 1.16 compatibility. I've [done this for RMM already](rapidsai/rmm#1011), and I am working on [PR 4675](rapidsai/cuml#4675) to cuML now. I am planning to make the same fixes for `#include`s in cuCollections, raft, cuSpatial, and cuGraph so they will be compatible with Thrust 1.16. 4. Try to upgrade libcudf to Thrust 1.16 again (and re-apply the updated patch). If (2) has been resolved, I hope we won't see any issues in other RAPIDS libraries 5. Upgrade rapids-cmake to Thrust 1.16. Authors: - Bradley Dice (https://github.com/bdice) Approvers: - Vyas Ramasubramani (https://github.com/vyasr) - Mark Harris (https://github.com/harrism) URL: #10586

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This PR pins `dask` & `distributed` for `22.06` release. Authors: - GALI PREM SAGAR (https://github.com/galipremsagar) Approvers: - Ashwin Srinath (https://github.com/shwina) - Charles Blackmon-Luca (https://github.com/charlesbluca) - Ray Douglass (https://github.com/raydouglass)

Added special handling for list cases where empty lists have empty offsets. Generally the size of offsets column in a list column is list column size + 1. For empty list columns, offsets are allowed to be empty instead of size 1. This caused issues in processing lists in the parquet writer. This PR makes use of the `list_column_device_view` wrapper to handle this case wherever possible and replaces empty list columns with a temporary list column with offset of size 1 where `list_column_device_view` could not be used. Fixes #10536 Authors: - Devavret Makkar (https://github.com/devavret) Approvers: - Ram (Ramakrishna Prabhu) (https://github.com/rgsl888prabhu) - Vukasin Milovanovic (https://github.com/vuule) - Yunsong Wang (https://github.com/PointKernel) - Ray Douglass (https://github.com/raydouglass)

This PR adds support for string column creation from jcudf row data. It leverages the fixed-width data copy to convert the offsets and lengths stored inside the fixed-width data section and then uses that information to copy the string data itself from the jcudf row format into the cudf column. closes #10286 Authors: - Mike Wilson (https://github.com/hyperbolic2346) Approvers: - Ray Douglass (https://github.com/raydouglass) - Nghia Truong (https://github.com/ttnghia) - https://github.com/nvdbaranec

codecov · 2022-05-25T19:09:59Z

Codecov Report

Merging #10969 (82c062a) into main (87180ce) will increase coverage by 0.16%.
The diff coverage is n/a.

❗ Current head 82c062a differs from pull request most recent head 9742260. Consider uploading reports for the commit 9742260 to get more accurate results

@@            Coverage Diff             @@
##             main   #10969      +/-   ##
==========================================
+ Coverage   86.16%   86.32%   +0.16%     
==========================================
  Files         139      144       +5     
  Lines       22468    22688     +220     
==========================================
+ Hits        19359    19585     +226     
+ Misses       3109     3103       -6

Impacted Files	Coverage Δ
...thon/dask_cudf/dask_cudf/tests/test_distributed.py	`18.86% <0.00%> (-67.93%)`	⬇️
python/cudf/cudf/core/mixins/binops.py	`90.00% <0.00%> (-10.00%)`	⬇️
python/cudf/cudf/utils/gpu_utils.py	`50.00% <0.00%> (-4.29%)`	⬇️
python/cudf/cudf/core/column_accessor.py	`93.47% <0.00%> (-3.24%)`	⬇️
python/cudf/cudf/testing/testing.py	`81.81% <0.00%> (-2.69%)`	⬇️
python/cudf/cudf/io/parquet.py	`90.83% <0.00%> (-1.87%)`	⬇️
python/dask_cudf/dask_cudf/backends.py	`84.61% <0.00%> (-1.84%)`	⬇️
python/cudf/cudf/core/column/decimal.py	`90.60% <0.00%> (-1.70%)`	⬇️
python/dask_cudf/dask_cudf/io/parquet.py	`92.39% <0.00%> (-1.40%)`	⬇️
python/cudf/cudf/core/_base_index.py	`85.71% <0.00%> (-0.72%)`	⬇️
... and 79 more

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Signed-off-by: Jordan Jacobelli <[email protected]>

Use `mambabuild` to build `conda` packages. This should speed up the builds and help to debug `conda` conflict issues Authors: - Jordan Jacobelli (https://github.com/Ethyling) Approvers: - AJ Schmidt (https://github.com/ajschmidt8)

…h` (#10838) (#10982) Backport of #10838 Authors: - https://github.com/brandon-b-miller Approvers: - GALI PREM SAGAR (https://github.com/galipremsagar) - AJ Schmidt (https://github.com/ajschmidt8)

Dask `2022.5.1` had a bug and a new release is out, this PR upgrades the dask pinning: dask/community#250 Authors: - GALI PREM SAGAR (https://github.com/galipremsagar) Approvers: - AJ Schmidt (https://github.com/ajschmidt8)

Fixes: #10990 This PR pins the` protobuf` version to the latest and chooses narrower pinning because of the lower likelihood of breaking API changes between minor patch versions as opposed to major version changes. Authors: - GALI PREM SAGAR (https://github.com/galipremsagar) Approvers: - AJ Schmidt (https://github.com/ajschmidt8)

Issue #10755 Backporting the fix to 22.06 Fixes an issue in protobuf writer where the length on the row index entry was being written into a single byte. This would cause errors when the size is larger than 127. The issue was uncovered when row group statistics were added. String statistics contain copies to min/max strings, so the size is unbounded. This PR changes the protobuf writer to write the entry size as a generic uint, allowing larger entries. Also fixed `start_row` in row group info array in the reader (unrelated). Authors: - Vukasin Milovanovic (https://github.com/vuule) Approvers: - GALI PREM SAGAR (https://github.com/galipremsagar) - AJ Schmidt (https://github.com/ajschmidt8)

vyasr and others added 30 commits March 28, 2022 16:09

add accidentally removed comment. (#10526)

8103a91

Adds back a comment that was accidentally removed in #10523. Authors: - Vyas Ramasubramani (https://github.com/vyasr) Approvers: - GALI PREM SAGAR (https://github.com/galipremsagar) URL: #10526

Deprecate Series.applymap (#10497)

a0495f4

Part of #10169 Authors: - https://github.com/brandon-b-miller Approvers: - Bradley Dice (https://github.com/bdice) URL: #10497

Merge pull request #10533 from rapidsai/branch-22.04

9a62a37

[gpuCI] Forward-merge branch-22.04 to branch-22.06 [skip gpuci]

Merge pull request #10539 from rapidsai/branch-22.04

3f1d1ca

[gpuCI] Forward-merge branch-22.04 to branch-22.06 [skip gpuci]

Merge pull request #10546 from rapidsai/branch-22.04

2d8d913

[gpuCI] Forward-merge branch-22.04 to branch-22.06 [skip gpuci]

Merge branch-22.04 into branch-22.06

73bc7d7

Merge pull request #10557 from bdice/branch-22.06-merge-22.04

4775f11

Forward-merge branch-22.04 to branch-22.06

Merge pull request #10575 from rapidsai/branch-22.04

f66c99a

[gpuCI] Forward-merge branch-22.04 to branch-22.06 [skip gpuci]

GPUtester requested review from a team as code owners May 25, 2022 15:17

GPUtester requested review from galipremsagar, rgsl888prabhu and mythrocks May 25, 2022 15:17

github-actions bot added CMake CMake build issue conda Java Affects Java cuDF API. Python Affects Python cuDF API. libcudf Affects libcudf (C++/CUDA) code. labels May 25, 2022

galipremsagar and others added 3 commits May 25, 2022 13:37

vyasr and others added 5 commits May 26, 2022 14:29

Remove extra instance of list_view.hpp in meta.yaml. (#10981)

fd5724f

Use mambabuild to build conda packages

c6260eb

Signed-off-by: Jordan Jacobelli <[email protected]>

pin dask (#10987)

dcb0470

Dask `2022.5.1` had a bug and a new release is out, this PR upgrades the dask pinning: dask/community#250 Authors: - GALI PREM SAGAR (https://github.com/galipremsagar) Approvers: - AJ Schmidt (https://github.com/ajschmidt8)

karthikeyann approved these changes May 28, 2022

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galipremsagar and others added 3 commits May 31, 2022 10:59

update changelog

9742260

raydouglass merged commit 89c7736 into main Jun 7, 2022

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[RELEASE] cudf v22.06 #10969

[RELEASE] cudf v22.06 #10969

GPUtester commented May 25, 2022

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codecov bot commented May 25, 2022 •

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[RELEASE] cudf v22.06 #10969

[RELEASE] cudf v22.06 #10969

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GPUtester commented May 25, 2022

❄️ Code freeze for branch-22.06 and v22.06 release

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❄️ Code freeze for `branch-22.06` and v22.06 release

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