[
https://issues.apache.org/jira/browse/ARROW-14323?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17428969#comment-17428969
]
Uwe Korn commented on ARROW-14323:
----------------------------------
You could also try and reach out on https://gitter.im/conda-forge-ppc64le/Lobby
whether anyone there has an idea.
> [Python] Import error (ppc64le) - Illegal instruction (core dumped)
> -------------------------------------------------------------------
>
> Key: ARROW-14323
> URL: https://issues.apache.org/jira/browse/ARROW-14323
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 5.0.0
> Environment: Platform: Red Hat Enterprise Linux 8.2 (Ootpa) - PPC64le
> Python version: 3.6
> PyArrow version: pyarrow - 5.0.0 -
> conda-forge/linux-ppc64le::pyarrow-5.0.0-py36h7a46c7e_8_cpu
> Reporter: Gerardo Cervantes
> Priority: Critical
>
> h2. Description
> The bug occurs when Installing the PyArrow library with Conda.
> After trying to import with Python, this error shows up:
>
> {code:java}
> Illegal instruction (core dumped){code}
>
> h2. Environment
> * Platform: Red Hat Enterprise Linux 8.2 (Ootpa) - PPC64le
> * Python version: 3.6
> * PyArrow version: pyarrow - 5.0.0 -
> conda-forge/linux-ppc64le::pyarrow-5.0.0-py36h7a46c7e_8_cpu
> h2. Steps to reproduce the bug
> Installing with Conda and then trying to import the package through Python
> gives the error.
> {{}}
> {code:java}
> conda create --name pyarrow_py36 python=3.6
> conda activate pyarrow_py36
> conda install pyarrow
> {code}
> {{}}
> h2. Tracebacks
> conda create --name pyarrow_py36 python=3.6
>
> {code:java}
> Collecting package metadata (current_repodata.json): done
> Solving environment: done
> ==> WARNING: A newer version of conda exists. <==
> current version: 4.9.2
> latest version: 4.10.3
> Please update conda by running
> $ conda update -n base -c defaults conda
>
> ## Package Plan ##
> environment location: /p/home/gerryc/.conda/envs/pyarrow_py36
> added / updated specs:
> - python=3.6
> The following NEW packages will be INSTALLED:
> _libgcc_mutex conda-forge/linux-ppc64le::_libgcc_mutex-0.1-conda_forge
> _openmp_mutex conda-forge/linux-ppc64le::_openmp_mutex-4.5-1_gnu
> ca-certificates
> conda-forge/linux-ppc64le::ca-certificates-2021.10.8-h1084571_0
> certifi pkgs/main/linux-ppc64le::certifi-2020.12.5-py36h6ffa863_0
> ld_impl_linux-ppc~
> conda-forge/linux-ppc64le::ld_impl_linux-ppc64le-2.36.1-ha35d02b_2
> libffi conda-forge/linux-ppc64le::libffi-3.4.2-h3b9df90_4
> libgcc-ng conda-forge/linux-ppc64le::libgcc-ng-11.2.0-h7698a5e_11
> libgomp conda-forge/linux-ppc64le::libgomp-11.2.0-h7698a5e_11
> libstdcxx-ng conda-forge/linux-ppc64le::libstdcxx-ng-11.2.0-habdf983_11
> libzlib conda-forge/linux-ppc64le::libzlib-1.2.11-h339bb43_1013
> ncurses conda-forge/linux-ppc64le::ncurses-6.2-hea85c5d_4
> openssl conda-forge/linux-ppc64le::openssl-1.1.1l-h4e0d66e_0
> pip conda-forge/noarch::pip-21.3-pyhd8ed1ab_0
> python conda-forge/linux-ppc64le::python-3.6.13-h57873ef_2_cpython
> readline conda-forge/linux-ppc64le::readline-8.1-h5c45dff_0
> setuptools pkgs/main/linux-ppc64le::setuptools-58.0.4-py36h6ffa863_0
> sqlite conda-forge/linux-ppc64le::sqlite-3.36.0-h4e2196e_2
> tk conda-forge/linux-ppc64le::tk-8.6.11-h41c6715_1
> wheel conda-forge/noarch::wheel-0.37.0-pyhd8ed1ab_1
> xz conda-forge/linux-ppc64le::xz-5.2.5-h6eb9509_1
> zlib conda-forge/linux-ppc64le::zlib-1.2.11-h339bb43_1013
> Proceed ([y]/n)? y
> Preparing transaction: done
> Verifying transaction: done
> Executing transaction: done
> #
> # To activate this environment, use
> #
> # $ conda activate pyarrow_py36
> #
> # To deactivate an active environment, use
> #
> # $ conda deactivate
> {code}
>
> conda activate pyarrow_py36
> conda install pyarrow
>
> {code:java}
> Collecting package metadata (current_repodata.json): done
> Solving environment: failed with initial frozen solve. Retrying with flexible
> solve.
> Solving environment: failed with repodata from current_repodata.json, will
> retry with next repodata source.
> Collecting package metadata (repodata.json): done
> Solving environment: done
> ==> WARNING: A newer version of conda exists. <==
> current version: 4.9.2
> latest version: 4.10.3
> Please update conda by running
> $ conda update -n base -c defaults conda
>
> ## Package Plan ##
> environment location: /p/home/gerryc/.conda/envs/pyarrow_py36
> added / updated specs:
> - pyarrow
> The following NEW packages will be INSTALLED:
> abseil-cpp conda-forge/linux-ppc64le::abseil-cpp-20210324.2-h3b9df90_0
> arrow-cpp conda-forge/linux-ppc64le::arrow-cpp-5.0.0-py36hf9cf308_8_cpu
> aws-c-cal conda-forge/linux-ppc64le::aws-c-cal-0.5.11-hb3fac3d_0
> aws-c-common conda-forge/linux-ppc64le::aws-c-common-0.6.2-h4e0d66e_0
> aws-c-event-stream
> conda-forge/linux-ppc64le::aws-c-event-stream-0.2.7-h76da5f2_13
> aws-c-io conda-forge/linux-ppc64le::aws-c-io-0.10.5-hf6a6c7c_0
> aws-checksums conda-forge/linux-ppc64le::aws-checksums-0.1.11-hfe76d68_7
> aws-sdk-cpp conda-forge/linux-ppc64le::aws-sdk-cpp-1.8.186-h90855e8_3
> bzip2 conda-forge/linux-ppc64le::bzip2-1.0.8-h4e0d66e_4
> c-ares conda-forge/linux-ppc64le::c-ares-1.17.2-h4e0d66e_0
> gflags conda-forge/linux-ppc64le::gflags-2.2.2-hb209c28_1004
> glog conda-forge/linux-ppc64le::glog-0.5.0-h4040248_0
> grpc-cpp conda-forge/linux-ppc64le::grpc-cpp-1.40.0-h2bf711c_2
> krb5 conda-forge/linux-ppc64le::krb5-1.19.2-haf43566_2
> libblas conda-forge/linux-ppc64le::libblas-3.9.0-11_linuxppc64le_openblas
> libbrotlicommon conda-forge/linux-ppc64le::libbrotlicommon-1.0.9-h4e0d66e_5
> libbrotlidec conda-forge/linux-ppc64le::libbrotlidec-1.0.9-h4e0d66e_5
> libbrotlienc conda-forge/linux-ppc64le::libbrotlienc-1.0.9-h4e0d66e_5
> libcblas conda-forge/linux-ppc64le::libcblas-3.9.0-11_linuxppc64le_openblas
> libcurl conda-forge/linux-ppc64le::libcurl-7.79.1-he415e40_1
> libedit conda-forge/linux-ppc64le::libedit-3.1.20191231-h41a240f_2
> libev conda-forge/linux-ppc64le::libev-4.33-h6eb9509_1
> libevent conda-forge/linux-ppc64le::libevent-2.1.10-h97db324_4
> libgfortran-ng conda-forge/linux-ppc64le::libgfortran-ng-11.2.0-hfdc3801_11
> libgfortran5 conda-forge/linux-ppc64le::libgfortran5-11.2.0-he58fbb4_11
> liblapack conda-forge/linux-ppc64le::liblapack-3.9.0-11_linuxppc64le_openblas
> libnghttp2 conda-forge/linux-ppc64le::libnghttp2-1.43.0-h42039ad_1
> libopenblas conda-forge/linux-ppc64le::libopenblas-0.3.17-pthreads_h486567c_1
> libprotobuf conda-forge/linux-ppc64le::libprotobuf-3.18.1-h690f14c_0
> libssh2 conda-forge/linux-ppc64le::libssh2-1.10.0-ha5a9321_2
> libthrift conda-forge/linux-ppc64le::libthrift-0.15.0-h54f692e_1
> libutf8proc conda-forge/linux-ppc64le::libutf8proc-2.6.1-h4e0d66e_0
> lz4-c conda-forge/linux-ppc64le::lz4-c-1.9.3-h3b9df90_1
> numpy conda-forge/linux-ppc64le::numpy-1.19.5-py36h86665d4_1
> orc conda-forge/linux-ppc64le::orc-1.7.0-hae6b4bd_0
> parquet-cpp conda-forge/noarch::parquet-cpp-1.5.1-2
> pyarrow conda-forge/linux-ppc64le::pyarrow-5.0.0-py36h7a46c7e_8_cpu
> python_abi conda-forge/linux-ppc64le::python_abi-3.6-2_cp36m
> re2 conda-forge/linux-ppc64le::re2-2021.09.01-h3b9df90_0
> s2n conda-forge/linux-ppc64le::s2n-1.0.10-h97db324_0
> snappy conda-forge/linux-ppc64le::snappy-1.1.8-hb209c28_3
> zstd conda-forge/linux-ppc64le::zstd-1.5.0-h65c4b1a_0
> The following packages will be UPDATED:
> certifi pkgs/main::certifi-2020.12.5-py36h6ff~ -->
> conda-forge::certifi-2021.5.30-py36h270354c_0
> Proceed ([y]/n)? y
> Preparing transaction: done
> Verifying transaction: done
> Executing transaction: done
> {code}
> python
> {code:java}
> Python 3.6.13 | packaged by conda-forge | (default, Sep 23 2021, 07:37:44)
> [GCC 9.4.0] on linux
> Type "help", "copyright", "credits" or "license" for more information.
> >>> import pyarrow
> Illegal instruction (core dumped){code}
> conda list
> {code:java}
> # packages in environment at /p/home/gerryc/.conda/envs/pyarrow_py36:
> #
> # Name Version Build Channel
> _libgcc_mutex 0.1 conda_forge conda-forge
> _openmp_mutex 4.5 1_gnu conda-forge
> abseil-cpp 20210324.2 h3b9df90_0 conda-forge
> arrow-cpp 5.0.0 py36hf9cf308_8_cpu conda-forge
> aws-c-cal 0.5.11 hb3fac3d_0 conda-forge
> aws-c-common 0.6.2 h4e0d66e_0 conda-forge
> aws-c-event-stream 0.2.7 h76da5f2_13 conda-forge
> aws-c-io 0.10.5 hf6a6c7c_0 conda-forge
> aws-checksums 0.1.11 hfe76d68_7 conda-forge
> aws-sdk-cpp 1.8.186 h90855e8_3 conda-forge
> bzip2 1.0.8 h4e0d66e_4 conda-forge
> c-ares 1.17.2 h4e0d66e_0 conda-forge
> ca-certificates 2021.10.8 h1084571_0 conda-forge
> certifi 2021.5.30 py36h270354c_0 conda-forge
> gflags 2.2.2 hb209c28_1004 conda-forge
> glog 0.5.0 h4040248_0 conda-forge
> grpc-cpp 1.40.0 h2bf711c_2 conda-forge
> krb5 1.19.2 haf43566_2 conda-forge
> ld_impl_linux-ppc64le 2.36.1 ha35d02b_2 conda-forge
> libblas 3.9.0 11_linuxppc64le_openblas conda-forge
> libbrotlicommon 1.0.9 h4e0d66e_5 conda-forge
> libbrotlidec 1.0.9 h4e0d66e_5 conda-forge
> libbrotlienc 1.0.9 h4e0d66e_5 conda-forge
> libcblas 3.9.0 11_linuxppc64le_openblas conda-forge
> libcurl 7.79.1 he415e40_1 conda-forge
> libedit 3.1.20191231 h41a240f_2 conda-forge
> libev 4.33 h6eb9509_1 conda-forge
> libevent 2.1.10 h97db324_4 conda-forge
> libffi 3.4.2 h3b9df90_4 conda-forge
> libgcc-ng 11.2.0 h7698a5e_11 conda-forge
> libgfortran-ng 11.2.0 hfdc3801_11 conda-forge
> libgfortran5 11.2.0 he58fbb4_11 conda-forge
> libgomp 11.2.0 h7698a5e_11 conda-forge
> liblapack 3.9.0 11_linuxppc64le_openblas conda-forge
> libnghttp2 1.43.0 h42039ad_1 conda-forge
> libopenblas 0.3.17 pthreads_h486567c_1 conda-forge
> libprotobuf 3.18.1 h690f14c_0 conda-forge
> libssh2 1.10.0 ha5a9321_2 conda-forge
> libstdcxx-ng 11.2.0 habdf983_11 conda-forge
> libthrift 0.15.0 h54f692e_1 conda-forge
> libutf8proc 2.6.1 h4e0d66e_0 conda-forge
> libzlib 1.2.11 h339bb43_1013 conda-forge
> lz4-c 1.9.3 h3b9df90_1 conda-forge
> ncurses 6.2 hea85c5d_4 conda-forge
> numpy 1.19.5 py36h86665d4_1 conda-forge
> openssl 1.1.1l h4e0d66e_0 conda-forge
> orc 1.7.0 hae6b4bd_0 conda-forge
> parquet-cpp 1.5.1 2 conda-forge
> pip 21.3 pyhd8ed1ab_0 conda-forge
> pyarrow 5.0.0 py36h7a46c7e_8_cpu conda-forge
> python 3.6.13 h57873ef_2_cpython conda-forge
> python_abi 3.6 2_cp36m conda-forge
> re2 2021.09.01 h3b9df90_0 conda-forge
> readline 8.1 h5c45dff_0 conda-forge
> s2n 1.0.10 h97db324_0 conda-forge
> setuptools 58.0.4 py36h6ffa863_0
> snappy 1.1.8 hb209c28_3 conda-forge
> sqlite 3.36.0 h4e2196e_2 conda-forge
> tk 8.6.11 h41c6715_1 conda-forge
> wheel 0.37.0 pyhd8ed1ab_1 conda-forge
> xz 5.2.5 h6eb9509_1 conda-forge
> zlib 1.2.11 h339bb43_1013 conda-forge
> zstd 1.5.0 h65c4b1a_0 conda-forge{code}
> -----------
> There seems to be a similar issue here:
> https://issues.apache.org/jira/browse/ARROW-4272
> But they fix it by conda installing, which doesn't work here.
>
>
>
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
