当我尝试使用File（.tar.bz2）在库下面安装时，出现以下错误。我的hadoop群集中没有Internet连接，这就是我使用以下命令通过conda安装pyarrow的原因。
(base) [XXXX@XXX-XXX-XXX goel]# conda install pyarrow-0.14.1-py37h8b68381_2.tar.bz2
WARNING: The conda.compat module is deprecated and will be removed in a future release.
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(base) [XXXX@XXX-XXX-XXX goel]#
当我尝试导入时，出现以下错误
(base) [XXXX@XXX-XXX-XXX usr]# python -c "import pyarrow"
Traceback (most recent call last):
File "<string>",line 1,in <module>
File "/opt/anaconda3/lib/python3.7/site-packages/pyarrow/__init__.py",line 49,in <module>
from pyarrow.lib import cpu_count,set_cpu_count
ImportError: libarrow.so.14: cannot open shared object file: No such file or directory
下面是conda列表的输出：
(base) [XXXX@XXX-XXX-XXX usr]# conda list
WARNING: The conda.compat module is deprecated and will be removed in a future release.
# packages in environment at /opt/anaconda3:
#
# Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py37_0
alabaster 0.7.12 py37_0
anaconda 2019.03 py37_0
anaconda-client 1.7.2 py37_0
anaconda-navigator 1.9.7 py37_0
anaconda-project 0.8.2 py37_0
arrow 0.15.3 py37_0 <unknown>
arrow-cpp 0.15.0 py37h090bef1_2 <unknown>
asn1crypto 0.24.0 py37_0
astroid 2.2.5 py37_0
astropy 3.1.2 py37h7b6447c_0
atomicwrites 1.3.0 py37_1
attrs 19.1.0 py37_1
babel 2.6.0 py37_0
backcall 0.1.0 py37_0
backports 1.0 py37_1
backports.os 0.1.1 py37_0
backports.shutil_get_terminal_size 1.0.0 py37_2
beautifulsoup4 4.7.1 py37_1
bitarray 0.8.3 py37h14c3975_0
bkcharts 0.2 py37_0
blas 1.0 mkl
bleach 3.1.0 py37_0
blosc 1.15.0 hd408876_0
bokeh 1.0.4 py37_0
boto 2.49.0 py37_0
bottleneck 1.2.1 py37h035aef0_1
bzip2 1.0.6 h14c3975_5
ca-certificates 2019.1.23 0
cairo 1.14.12 h8948797_3
certifi 2019.3.9 py37_0
cffi 1.12.2 py37h2e261b9_1
chardet 3.0.4 py37_1
click 7.0 py37_0
cloudpickle 0.8.0 py37_0
clyent 1.2.2 py37_1
colorama 0.4.1 py37_0
conda 4.6.11 py37_0
conda-build 3.17.8 py37_0
conda-env 2.6.0 1
conda-verify 3.1.1 py37_0
contextlib2 0.5.5 py37_0
cryptography 2.6.1 py37h1ba5d50_0
curl 7.64.0 hbc83047_2
cycler 0.10.0 py37_0
cython 0.29.6 py37he6710b0_0
cytoolz 0.9.0.1 py37h14c3975_1
dask 1.1.4 py37_1
dask-core 1.1.4 py37_1
dbus 1.13.6 h746ee38_0
decorator 4.4.0 py37_1
defusedxml 0.5.0 py37_1
distributed 1.26.0 py37_1
docutils 0.14 py37_0
entrypoints 0.3 py37_0
et_xmlfile 1.0.1 py37_0
expat 2.2.6 he6710b0_0
fastcache 1.0.2 py37h14c3975_2
filelock 3.0.10 py37_0
flask 1.0.2 py37_1
fontconfig 2.13.0 h9420a91_0
freetype 2.9.1 h8a8886c_1
fribidi 1.0.5 h7b6447c_0
future 0.17.1 py37_0
get_terminal_size 1.0.0 haa9412d_0
gevent 1.4.0 py37h7b6447c_0
glib 2.56.2 hd408876_0
glob2 0.6 py37_1
gmp 6.1.2 h6c8ec71_1
gmpy2 2.0.8 py37h10f8cd9_2
graphite2 1.3.13 h23475e2_0
greenlet 0.4.15 py37h7b6447c_0
gst-plugins-base 1.14.0 hbbd80ab_1
gstreamer 1.14.0 hb453b48_1
h5py 2.9.0 py37h7918eee_0
harfbuzz 1.8.8 hffaf4a1_0
hdf5 1.10.4 hb1b8bf9_0
hdfs3 0.3.1 py37_0 <unknown>
heapdict 1.0.0 py37_2
html5lib 1.0.1 py37_0
icu 58.2 h9c2bf20_1
idna 2.8 py37_0
imageio 2.5.0 py37_0
imagesize 1.1.0 py37_0
importlib_metadata 0.8 py37_0
intel-openmp 2019.3 199
ipykernel 5.1.0 py37h39e3cac_0
ipython 7.4.0 py37h39e3cac_0
ipython_genutils 0.2.0 py37_0
ipywidgets 7.4.2 py37_0
isort 4.3.16 py37_0
itsdangerous 1.1.0 py37_0
jbig 2.1 hdba287a_0
jdcal 1.4 py37_0
jedi 0.13.3 py37_0
jeepney 0.4 py37_0
jinja2 2.10 py37_0
jpeg 9b h024ee3a_2
jsonschema 3.0.1 py37_0
jupyter 1.0.0 py37_7
jupyter_client 5.2.4 py37_0
jupyter_console 6.0.0 py37_0
jupyter_core 4.4.0 py37_0
jupyterlab 0.35.4 py37hf63ae98_0
jupyterlab_server 0.2.0 py37_0
keras 2.2.5 py36_1 file:///opt/custom-conda-channel
keyring 18.0.0 py37_0
kiwisolver 1.0.1 py37hf484d3e_0
krb5 1.16.1 h173b8e3_7
lazy-object-proxy 1.3.1 py37h14c3975_2
libarchive 3.3.3 h5d8350f_5
libcurl 7.64.0 h20c2e04_2
libedit 3.1.20181209 hc058e9b_0
libffi 3.2.1 hd88cf55_4
libgcc-ng 8.2.0 hdf63c60_1
libgfortran-ng 7.3.0 hdf63c60_0
libhdfs3 2.3.0 2 <unknown>
liblief 0.9.0 h7725739_2
libpng 1.6.36 hbc83047_0
libsodium 1.0.16 h1bed415_0
libssh2 1.8.0 h1ba5d50_4
libstdcxx-ng 8.2.0 hdf63c60_1
libtiff 4.0.10 h2733197_2
libtool 2.4.6 h7b6447c_5
libuuid 1.0.3 h1bed415_2
libxcb 1.13 h1bed415_1
libxml2 2.9.9 he19cac6_0
libxslt 1.1.33 h7d1a2b0_0
llvmlite 0.28.0 py37hd408876_0
locket 0.2.0 py37_1
lxml 4.3.2 py37hefd8a0e_0
lz4-c 1.8.1.2 h14c3975_0
lzo 2.10 h49e0be7_2
markupsafe 1.1.1 py37h7b6447c_0
matplotlib 3.0.3 py37h5429711_0
mccabe 0.6.1 py37_1
mistune 0.8.4 py37h7b6447c_0
mkl 2019.3 199
mkl-service 1.1.2 py37he904b0f_5
mkl_fft 1.0.10 py37ha843d7b_0
mkl_random 1.0.2 py37hd81dba3_0
more-itertools 6.0.0 py37_0
mpc 1.1.0 h10f8cd9_1
mpfr 4.0.1 hdf1c602_3
mpmath 1.1.0 py37_0
msgpack-python 0.6.1 py37hfd86e86_1
multipledispatch 0.6.0 py37_0
navigator-updater 0.2.1 py37_0
nbconvert 5.4.1 py37_3
nbformat 4.4.0 py37_0
ncurses 6.1 he6710b0_1
networkx 2.2 py37_1
nltk 3.4 py37_1
nose 1.3.7 py37_2
notebook 5.7.8 py37_0
numba 0.43.1 py37h962f231_0
numexpr 2.6.9 py37h9e4a6bb_0
numpy 1.16.2 py37h7e9f1db_0
numpy-base 1.16.2 py37hde5b4d6_0
numpydoc 0.8.0 py37_0
olefile 0.46 py37_0
openpyxl 2.6.1 py37_1
openssl 1.1.1b h7b6447c_1
packaging 19.0 py37_0
pandas 0.24.2 py37he6710b0_0
pandoc 2.2.3.2 0
pandocfilters 1.4.2 py37_1
pango 1.42.4 h049681c_0
parso 0.3.4 py37_0
partd 0.3.10 py37_1
patchelf 0.9 he6710b0_3
path.py 11.5.0 py37_0
pathlib2 2.3.3 py37_0
patsy 0.5.1 py37_0
pcre 8.43 he6710b0_0
pep8 1.7.1 py37_0
pexpect 4.6.0 py37_0
pickleshare 0.7.5 py37_0
pillow 5.4.1 py37h34e0f95_0
pip 19.0.3 py37_0
pixman 0.38.0 h7b6447c_0
pkginfo 1.5.0.1 py37_0
pluggy 0.9.0 py37_0
ply 3.11 py37_0
prometheus_client 0.6.0 py37_0
prompt_toolkit 2.0.9 py37_0
psutil 5.6.1 py37h7b6447c_0
ptyprocess 0.6.0 py37_0
py 1.8.0 py37_0
py-lief 0.9.0 py37h7725739_2
pyarrow 0.14.1 py37h8b68381_2 <unknown>
pycodestyle 2.5.0 py37_0
pycosat 0.6.3 py37h14c3975_0
pycparser 2.19 py37_0
pycrypto 2.6.1 py37h14c3975_9
pycurl 7.43.0.2 py37h1ba5d50_0
pyflakes 2.1.1 py37_0
pygments 2.3.1 py37_0
pylint 2.3.1 py37_0
pyodbc 4.0.26 py37he6710b0_0
pyopenssl 19.0.0 py37_0
pyparsing 2.3.1 py37_0
pyqt 5.9.2 py37h05f1152_2
pyrsistent 0.14.11 py37h7b6447c_0
pysocks 1.6.8 py37_0
pytables 3.5.1 py37h71ec239_0
pytest 4.3.1 py37_0
pytest-arraydiff 0.3 py37h39e3cac_0
pytest-astropy 0.5.0 py37_0
pytest-doctestplus 0.3.0 py37_0
pytest-openfiles 0.3.2 py37_0
pytest-remotedata 0.3.1 py37_0
python 3.7.3 h0371630_0
python-dateutil 2.8.0 py37_0
python-libarchive-c 2.8 py37_6
pytz 2018.9 py37_0
pywavelets 1.0.2 py37hdd07704_0
pyyaml 5.1 py37h7b6447c_0
pyzmq 18.0.0 py37he6710b0_0
qt 5.9.7 h5867ecd_1
qtawesome 0.5.7 py37_1
qtconsole 4.4.3 py37_0
qtpy 1.7.0 py37_1
readline 7.0 h7b6447c_5
requests 2.21.0 py37_0
rope 0.12.0 py37_0
ruamel_yaml 0.15.46 py37h14c3975_0
scikit-image 0.14.2 py37he6710b0_0
scikit-learn 0.20.3 py37hd81dba3_0
scipy 1.2.1 py37h7c811a0_0
seaborn 0.9.0 py37_0
secretstorage 3.1.1 py37_0
send2trash 1.5.0 py37_0
setuptools 40.8.0 py37_0
simplegeneric 0.8.1 py37_2
singledispatch 3.4.0.3 py37_0
sip 4.19.8 py37hf484d3e_0
six 1.12.0 py37_0
snappy 1.1.7 hbae5bb6_3
snowballstemmer 1.2.1 py37_0
sortedcollections 1.1.2 py37_0
sortedcontainers 2.1.0 py37_0
soupsieve 1.8 py37_0
sphinx 1.8.5 py37_0
sphinxcontrib 1.0 py37_1
sphinxcontrib-websupport 1.1.0 py37_1
spyder 3.3.3 py37_0
spyder-kernels 0.4.2 py37_0
sqlalchemy 1.3.1 py37h7b6447c_0
sqlite 3.27.2 h7b6447c_0
statsmodels 0.9.0 py37h035aef0_0
sympy 1.3 py37_0
tblib 1.3.2 py37_0
tensorflow 1.13.2 h76b4ce7_0 <unknown>
terminado 0.8.1 py37_1
testpath 0.4.2 py37_0
tk 8.6.8 hbc83047_0
toolz 0.9.0 py37_0
tornado 6.0.2 py37h7b6447c_0
tqdm 4.31.1 py37_1
traitlets 4.3.2 py37_0
unicodecsv 0.14.1 py37_0
unixodbc 2.3.7 h14c3975_0
urllib3 1.24.1 py37_0
wcwidth 0.1.7 py37_0
webencodings 0.5.1 py37_1
werkzeug 0.14.1 py37_0
wheel 0.33.1 py37_0
widgetsnbextension 3.4.2 py37_0
wrapt 1.11.1 py37h7b6447c_0
wurlitzer 1.0.2 py37_0
xlrd 1.2.0 py37_0
xlsxwriter 1.1.5 py37_0
xlwt 1.3.0 py37_0
xz 5.2.4 h14c3975_4
yaml 0.1.7 had09818_2
zeromq 4.3.1 he6710b0_3
zict 0.1.4 py37_0
zipp 0.3.3 py37_1
zlib 1.2.11 h7b6447c_3
zstd 1.3.7 h0b5b093_0
将pyarrow和箭头更新为0.15
(base1) [XXXX@XXX-XXX-XXX goel]# conda list arrow
WARNING: The conda.compat module is deprecated and will be removed in a future release.
# packages in environment at /opt/anaconda2/envs/base1:
#
# Name Version Build Channel
arrow 0.15.3 py37_0 <unknown>
arrow-cpp 0.15.0 py37h090bef1_2 <unknown>
pyarrow 0.15.1 py37h8b68381_0 <unknown>
更新的错误结果：
(base1) [XXXX@XXX-XXX-XXX goel]# python -c "import pyarrow"
Traceback (most recent call last):
File "<string>",in <module>
File "/opt/anaconda2/envs/base1/lib/python3.7/site-packages/pyarrow/__init__.py",in <module>
from pyarrow.lib import cpu_count,set_cpu_count
**ImportError: libglog.so.0: cannot open shared object file: No such file or directory**
注意：我可以看到共享对象文件路径似乎有问题。
预先感谢
Goel