rapidsai / cudf

cuDF - GPU DataFrame Library
https://docs.rapids.ai/api/cudf/stable/
Apache License 2.0
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[BUG] Error while performing a join on a MultiIndex and Int64Index #7042

Closed galipremsagar closed 5 months ago

galipremsagar commented 3 years ago

Describe the bug While performing a join/merge on two Index objects which have a common name in both of them there seems to be an error. This is a regression as the below example used to work in earlier versions of cudf.

Steps/Code to reproduce bug

>>> import cudf
>>> lhs = cudf.DataFrame(
...     {"a":[2, 3, 1], "b":[3, 4, 2]}).set_index(['a', 'b']
... ).index
>>> lhs
MultiIndex([(2, 3),
            (3, 4),
            (1, 2)],
           names=['a', 'b'])
>>> rhs = cudf.DataFrame({"a":[1, 4, 3]}).set_index('a').index
>>> rhs
Int64Index([1, 4, 3], dtype='int64', name='a')
>>> lhs.join(rhs, how='inner')
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/nvme/0/pgali/envs/cudfdev/lib/python3.7/site-packages/cudf/core/index.py", line 1199, in join
    output = lhs._merge(rhs, how=how, on=on, sort=sort)
  File "/nvme/0/pgali/envs/cudfdev/lib/python3.7/site-packages/cudf/core/frame.py", line 3277, in _merge
    suffixes,
  File "/nvme/0/pgali/envs/cudfdev/lib/python3.7/site-packages/cudf/core/join/join.py", line 94, in __init__
    suffixes,
  File "/nvme/0/pgali/envs/cudfdev/lib/python3.7/site-packages/cudf/core/join/join.py", line 280, in validate_merge_cfg
    raise ValueError("No common columns to perform merge on")
ValueError: No common columns to perform merge on
>>> lhs.to_pandas().join(rhs.to_pandas(), how='inner')
MultiIndex([(3, 4),
            (1, 2)],
           names=['a', 'b'])

Expected behavior

>>> lhs.join(rhs, how='inner')
MultiIndex([(3, 4),
            (1, 2)],
           names=['a', 'b'])

Environment overview (please complete the following information)

Environment details Please run and paste the output of the cudf/print_env.sh script here, to gather any other relevant environment details

Click here to see environment details

     **git***
     commit 2f93f094a4fc8ccae30f4b1b1fab34074c75cb0a (HEAD -> 6936)
     Author: galipremsagar 
     Date:   Fri Dec 18 21:51:03 2020 -0800

     add todo
     **git submodules***

     ***OS Information***
     DISTRIB_ID=Ubuntu
     DISTRIB_RELEASE=18.04
     DISTRIB_CODENAME=bionic
     DISTRIB_DESCRIPTION="Ubuntu 18.04.4 LTS"
     NAME="Ubuntu"
     VERSION="18.04.4 LTS (Bionic Beaver)"
     ID=ubuntu
     ID_LIKE=debian
     PRETTY_NAME="Ubuntu 18.04.4 LTS"
     VERSION_ID="18.04"
     HOME_URL="https://www.ubuntu.com/"
     SUPPORT_URL="https://help.ubuntu.com/"
     BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/"
     PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy"
     VERSION_CODENAME=bionic
     UBUNTU_CODENAME=bionic
     Linux dt07 4.15.0-76-generic #86-Ubuntu SMP Fri Jan 17 17:24:28 UTC 2020 x86_64 x86_64 x86_64 GNU/Linux

     ***GPU Information***
     Fri Dec 18 22:09:21 2020
     +-----------------------------------------------------------------------------+
     | NVIDIA-SMI 440.64.00    Driver Version: 440.64.00    CUDA Version: 10.2     |
     |-------------------------------+----------------------+----------------------+
     | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
     | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
     |===============================+======================+======================|
     |   0  Tesla T4            On   | 00000000:3B:00.0 Off |                    0 |
     | N/A   50C    P0    27W /  70W |    612MiB / 15109MiB |      0%      Default |
     +-------------------------------+----------------------+----------------------+
     |   1  Tesla T4            On   | 00000000:5E:00.0 Off |                    0 |
     | N/A   37C    P8     9W /  70W |     11MiB / 15109MiB |      0%      Default |
     +-------------------------------+----------------------+----------------------+
     |   2  Tesla T4            On   | 00000000:AF:00.0 Off |                    0 |
     | N/A   32C    P8     9W /  70W |     11MiB / 15109MiB |      0%      Default |
     +-------------------------------+----------------------+----------------------+
     |   3  Tesla T4            On   | 00000000:D8:00.0 Off |                    0 |
     | N/A   31C    P8    10W /  70W |     11MiB / 15109MiB |      0%      Default |
     +-------------------------------+----------------------+----------------------+

     +-----------------------------------------------------------------------------+
     | Processes:                                                       GPU Memory |
     |  GPU       PID   Type   Process name                             Usage      |
     |=============================================================================|
     |    0     31268      C   python                                       601MiB |
     +-----------------------------------------------------------------------------+

     ***CPU***
     Architecture:        x86_64
     CPU op-mode(s):      32-bit, 64-bit
     Byte Order:          Little Endian
     CPU(s):              64
     On-line CPU(s) list: 0-63
     Thread(s) per core:  2
     Core(s) per socket:  16
     Socket(s):           2
     NUMA node(s):        2
     Vendor ID:           GenuineIntel
     CPU family:          6
     Model:               85
     Model name:          Intel(R) Xeon(R) Gold 6130 CPU @ 2.10GHz
     Stepping:            4
     CPU MHz:             1392.492
     BogoMIPS:            4200.00
     Virtualization:      VT-x
     L1d cache:           32K
     L1i cache:           32K
     L2 cache:            1024K
     L3 cache:            22528K
     NUMA node0 CPU(s):   0,2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32,34,36,38,40,42,44,46,48,50,52,54,56,58,60,62
     NUMA node1 CPU(s):   1,3,5,7,9,11,13,15,17,19,21,23,25,27,29,31,33,35,37,39,41,43,45,47,49,51,53,55,57,59,61,63
     Flags:               fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cdp_l3 invpcid_single pti intel_ppin ssbd mba ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm mpx rdt_a avx512f avx512dq rdseed adx smap clflushopt clwb intel_pt avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts pku ospke md_clear flush_l1d

     ***CMake***
     /nvme/0/pgali/envs/cudfdev/bin/cmake
     cmake version 3.19.1

     CMake suite maintained and supported by Kitware (kitware.com/cmake).

     ***g++***
     /usr/bin/g++
     g++ (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0
     Copyright (C) 2017 Free Software Foundation, Inc.
     This is free software; see the source for copying conditions.  There is NO
     warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

     ***nvcc***

     ***Python***
     /nvme/0/pgali/envs/cudfdev/bin/python
     Python 3.7.9

     ***Environment Variables***
     PATH                            : /nvme/0/pgali/envs/cudfdev/bin:/usr/share/swift/usr/bin:/home/nfs/pgali/bin:/home/nfs/pgali/.local/bin:/home/nfs/pgali/anaconda3/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin:/usr/lib/jvm/default-java/bin:/usr/share/sbt-launcher-packaging/bin/sbt-launch.jar/bin:/usr/lib/spark/bin:/usr/lib/spark/sbin
     LD_LIBRARY_PATH                 :
     NUMBAPRO_NVVM                   :
     NUMBAPRO_LIBDEVICE              :
     CONDA_PREFIX                    : /nvme/0/pgali/envs/cudfdev
     PYTHON_PATH                     :

     ***conda packages***
     /home/nfs/pgali/anaconda3/condabin/conda
     # packages in environment at /nvme/0/pgali/envs/cudfdev:
     #
     # Name                    Version                   Build  Channel
     _libgcc_mutex             0.1                 conda_forge    conda-forge
     _openmp_mutex             4.5                       1_gnu    conda-forge
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     aws-c-common              0.4.59               h36c2ea0_1    conda-forge
     aws-c-event-stream        0.1.6                had2084c_6    conda-forge
     aws-checksums             0.1.10               h4e93380_0    conda-forge
     aws-sdk-cpp               1.8.70               h57dc084_1    conda-forge
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     boost-cpp                 1.74.0               h9d3c048_1    conda-forge
     brotli                    1.0.9                he1b5a44_3    conda-forge
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     c-ares                    1.17.1               h36c2ea0_0    conda-forge
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     clangxx                   8.0.1                         2    conda-forge
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     cudatoolkit               10.2.89              h6bb024c_0    nvidia
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     libedit                   3.1.20191231         he28a2e2_2    conda-forge
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     libgcc-ng                 9.3.0               h5dbcf3e_17    conda-forge
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     sortedcontainers          2.3.0              pyhd8ed1ab_0    conda-forge
     spdlog                    1.7.0                hc9558a2_2    conda-forge
     sphinx                    3.3.1              pyhd8ed1ab_1    conda-forge
     sphinx-copybutton         0.3.1              pyhd8ed1ab_0    conda-forge
     sphinx-markdown-tables    0.0.15             pyhd3deb0d_0    conda-forge
     sphinx_rtd_theme          0.5.0              pyh9f0ad1d_0    conda-forge
     sphinxcontrib-applehelp   1.0.2                      py_0    conda-forge
     sphinxcontrib-devhelp     1.0.2                      py_0    conda-forge
     sphinxcontrib-htmlhelp    1.0.3                      py_0    conda-forge
     sphinxcontrib-jsmath      1.0.1                      py_0    conda-forge
     sphinxcontrib-qthelp      1.0.3                      py_0    conda-forge
     sphinxcontrib-serializinghtml 1.1.4                      py_0    conda-forge
     sphinxcontrib-websupport  1.2.4              pyh9f0ad1d_0    conda-forge
     sqlite                    3.34.0               h74cdb3f_0    conda-forge
     streamz                   0.6.1              pyhd3deb0d_1    conda-forge
     tblib                     1.6.0                      py_0    conda-forge
     terminado                 0.9.1            py37h89c1867_1    conda-forge
     testpath                  0.4.4                      py_0    conda-forge
     tk                        8.6.10               h21135ba_1    conda-forge
     toml                      0.10.2             pyhd8ed1ab_0    conda-forge
     toolz                     0.11.1                     py_0    conda-forge
     tornado                   6.1              py37h4abf009_0    conda-forge
     traitlets                 5.0.5                      py_0    conda-forge
     typed-ast                 1.4.1            py37h4abf009_1    conda-forge
     typing_extensions         3.7.4.3                    py_0    conda-forge
     urllib3                   1.26.2             pyhd8ed1ab_0    conda-forge
     virtualenv                20.2.2           py37h89c1867_0    conda-forge
     wcwidth                   0.2.5              pyh9f0ad1d_2    conda-forge
     webencodings              0.5.1                      py_1    conda-forge
     wheel                     0.36.2             pyhd3deb0d_0    conda-forge
     xz                        5.2.5                h516909a_1    conda-forge
     yaml                      0.2.5                h516909a_0    conda-forge
     zeromq                    4.3.3                h58526e2_3    conda-forge
     zict                      2.0.0                      py_0    conda-forge
     zipp                      3.4.0                      py_0    conda-forge
     zlib                      1.2.11            h516909a_1010    conda-forge
     zstd                      1.4.5                h6597ccf_2    conda-forge

Additional context Add any other context about the problem here.

kkraus14 commented 3 years ago

Related to #5014

github-actions[bot] commented 3 years ago

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vyasr commented 5 months ago

This works now:

In [92]: >>> lhs = cudf.DataFrame(
    ...: ...     {"a":[2, 3, 1], "b":[3, 4, 2]}).set_index(['a', 'b']
    ...: ... ).index

In [93]: >>> rhs = cudf.DataFrame({"a":[1, 4, 3]}).set_index('a').index

In [94]: >>> lhs.join(rhs, how='inner')
Out[94]: 
MultiIndex([(3, 4),
            (1, 2)],
           names=['a', 'b'])