导入错误:libsasl2.so.3:无法打开共享对象文件:
我写了这个代码没有这样的文件或目录:导入错误:libsasl2.so.3:无法打开共享对象文件:
from pyhive import hive
connection = hive.connect("quickstart.cloudera", username="cloudera",
port=10000)
cursor = connection.cursor()
query = "SELECT * FROM capacite_part"
cursor.execute(query)
for row in cursor.fetchall():
print(row[0], row[1])
,我得到这样的:
In [6]: runfile('/home/cloudera/lire data capacite_part.py', wdir='/home/cloudera')
Traceback (most recent call last):
File "<ipython-input-6-c3cdfa2f79a9>", line 1, in <module>
runfile('/home/cloudera/lire data capacite_part.py', wdir='/home/cloudera')
File "/home/cloudera/anaconda2/lib/python2.7/site-packages/spyder/utils/site/sitecustomize.py", line 880, in runfile
execfile(filename, namespace)
File "/home/cloudera/anaconda2/lib/python2.7/site-packages/spyder/utils/site/sitecustomize.py", line 94, in execfile
builtins.execfile(filename, *where)
File "/home/cloudera/lire data capacite_part.py", line 7, in <module>
from pyhive import hive
File "/home/cloudera/anaconda2/lib/python2.7/site-packages/pyhive/hive.py", line 22, in <module>
import sasl
File "/home/cloudera/anaconda2/lib/python2.7/site-packages/sasl/__init__.py", line 15, in <module>
from sasl.saslwrapper import *
ImportError: libsasl2.so.3: cannot open shared object file: No such file or directory
这是我的配置:
CLOUDERA CD5 CENTOS 6.7
Python 2.7.13 :: Anaconda 4.4.0 (64-bit)
这是PIP PKG:
[ cloudera @ quickstart〜] $ pip freeze
alabaster==0.7.10
anaconda-client==1.6.3
anaconda-navigator==1.6.2
anaconda-project==0.6.0
asn1crypto==0.22.0
astroid==1.4.9
astropy==1.3.2
Babel==2.4.0
backports-abc==0.5
backports.shutil-get-terminal-size==1.0.0
backports.ssl-match-hostname==3.4.0.2
beautifulsoup4==4.6.0
bitarray==0.8.1
blaze==0.10.1
bleach==1.5.0
bokeh==0.12.5
boto==2.46.1
Bottleneck==1.2.1
cdecimal==2.3
cffi==1.10.0
chardet==3.0.3
click==6.7
cloudpickle==0.2.2
clyent==1.2.2
colorama==0.3.9
conda==4.3.21
configparser==3.5.0
contextlib2==0.5.5
cryptography==1.8.1
cycler==0.10.0
Cython==0.25.2
cytoolz==0.8.2
dask==0.14.3
datashape==0.5.4
decorator==4.0.11
distributed==1.16.3
docutils==0.13.1
entrypoints==0.2.2
enum34==1.1.6
et-xmlfile==1.0.1
fastcache==1.0.2
Flask==0.12.2
Flask-Cors==3.0.2
funcsigs==1.0.2
functools32==3.2.3.post2
future==0.16.0
futures==3.1.1
gevent==1.2.1
greenlet==0.4.12
grin==1.2.1
h5py==2.7.0
HeapDict==1.0.0
html5lib==0.999
idna==2.5
imagesize==0.7.1
ipaddress==1.0.18
ipykernel==4.6.1
ipython==5.3.0
ipython-genutils==0.2.0
ipywidgets==6.0.0
isort==4.2.5
itsdangerous==0.24
jdcal==1.3
jedi==0.10.2
Jinja2==2.9.6
jsonschema==2.6.0
jupyter==1.0.0
jupyter-client==5.0.1
jupyter-console==5.1.0
jupyter-core==4.3.0
lazy-object-proxy==1.2.2
llvmlite==0.18.0
locket==0.2.0
lxml==3.7.3
MarkupSafe==0.23
matplotlib==2.0.2
mistune==0.7.4
mpmath==0.19
msgpack-python==0.4.8
multipledispatch==0.4.9
navigator-updater==0.1.0
nbconvert==5.1.1
nbformat==4.3.0
networkx==1.11
nltk==3.2.3
nose==1.3.7
notebook==5.0.0
numba==0.33.0+0.ge79330a.dirty
numexpr==2.6.2
numpy==1.12.1
numpydoc==0.6.0
odo==0.5.0
olefile==0.44
openpyxl==2.4.7
packaging==16.8
pandas==0.20.1
pandocfilters==1.4.1
partd==0.3.8
pathlib2==2.2.1
patsy==0.4.1
pep8==1.7.0
pexpect==4.2.1
pickleshare==0.7.4
Pillow==4.1.1
ply==3.10
prompt-toolkit==1.0.14
psutil==5.2.2
ptyprocess==0.5.1
py==1.4.33
pycairo==1.10.0
pycosat==0.6.2
pycparser==2.17
pycrypto==2.6.1
pycurl==7.43.0
pyflakes==1.5.0
Pygments==2.2.0
PyHive==0.3.0
pylint==1.6.4
pyodbc==4.0.16
pyOpenSSL==17.0.0
pyparsing==2.1.4
pytest==3.0.7
python-dateutil==2.6.0
pytz==2017.2
PyWavelets==0.5.2
PyYAML==3.12
pyzmq==16.0.2
QtAwesome==0.4.4
qtconsole==4.3.0
QtPy==1.2.1
requests==2.14.2
rope==0.9.4
sasl==0.2.1
scandir==1.5
scikit-image==0.13.0
scikit-learn==0.18.1
scipy==0.19.0
seaborn==0.7.1
simplegeneric==0.8.1
singledispatch==3.4.0.3
six==1.10.0
snowballstemmer==1.2.1
sortedcollections==0.5.3
sortedcontainers==1.5.7
Sphinx==1.5.6
spyder==3.1.4
SQLAlchemy==1.1.9
statsmodels==0.8.0
subprocess32==3.2.7
sympy==1.0
tables==3.3.0
tblib==1.3.2
terminado==0.6
testpath==0.3
thrift==0.10.0
thrift-sasl==0.2.1
toolz==0.8.2
tornado==4.5.1
traitlets==4.3.2
unicodecsv==0.14.1
wcwidth==0.1.7
Werkzeug==0.12.2
widgetsnbextension==2.0.0
wrapt==1.10.10
xlrd==1.0.0
XlsxWriter==0.9.6
xlwt==1.2.0
zict==0.1.2
任何人都知道为什么它不工作?
感谢很多提前...
(我已经在此之前,安装了最新的蟒蛇分布,与Python 3.6 ...这是做同样的事情...)
在哪里我可以得到一个新的libsasl2.so.3为一个6.7和64位的... ...?
有时这些版本问题可以通过创建与同一个库的另一个版本的符号链接来解决。如果你已经libsasl2.so安装,创建一个链接文件libsasl2.so.2为同:
sudo ln -s /usr/lib64/libsasl2.so /usr/lib64/libsasl2.so.2
如果它们不同而且命名不同,这甚至是安全的吗? – anomaaly
不是这方面的专家,但在排除故障时,我发现在大多数情况下,这些是同一个库的不同版本,除非发生剧烈变化,否则它们工作得很好。一个非常常见的例子是,您需要特定库的v58来进行分发,例如, CentOS 7,而v58尚未发布用于CentOS7。可用于CentOS 7的最大版本是v55,因此您需要创建从v55到v58的符号链接。 – user48390
欲了解更多深入了解,请参阅以下主题[https://unix.stackexchange.com/questions/475/how-do-so-shared-object-numbers-work](https://unix.stackexchange .com/questions/475/how-do-so-shared-object-numbers-work)或相关的内核/ gcc文档。 – user48390
你找到了一个解决方案?我正面临一个非常类似的问题。 – singh1469