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關(guān)于CentOS 7下sqlite3找不到的問(wèn)題解決

更新時(shí)間：2017年07月06日 08:38:16 作者：bladestone

這篇文章主要給大家介紹了關(guān)于CentOS 7下sqlite3找不到問(wèn)題的解決方法，文中介紹的非常詳細(xì)，對(duì)大家具有一定的參考學(xué)習(xí)價(jià)值，需要的朋友們下面跟著小編一起來(lái)學(xué)習(xí)學(xué)習(xí)吧。

本文主要給大家介紹的關(guān)于CentOS 7下sqlite3找不到問(wèn)題的解決方法，分享出來(lái)供大家參考學(xué)習(xí)，下面來(lái)一起看看詳細(xì)的介紹：

Centos7下的nltk啟動(dòng)問(wèn)題

CentOS 7， Python 3.6，ipython 6.0.0

問(wèn)題描述

ipython

啟動(dòng)ipython命令

import nltk

爆出以下的錯(cuò)誤信息：

In [1]: import nltk
---------------------------------------------------------------------------
ModuleNotFoundError      Traceback (most recent call last)
<ipython-input-1-b06499430ee0> in <module>()
----> 1 import nltk

/opt/python36env/lib/python3.6/site-packages/nltk/__init__.py in <module>()
 135 from nltk.translate import *
 136 from nltk.sem import *
--> 137 from nltk.stem import *
 138 
 139 # Packages which can be lazily imported

/opt/python36env/lib/python3.6/site-packages/nltk/stem/__init__.py in <module>()
  27 from nltk.stem.isri import ISRIStemmer
  28 from nltk.stem.porter import PorterStemmer
---> 29 from nltk.stem.snowball import SnowballStemmer
  30 from nltk.stem.wordnet import WordNetLemmatizer
  31 from nltk.stem.rslp import RSLPStemmer

/opt/python36env/lib/python3.6/site-packages/nltk/stem/snowball.py in <module>()
  24 
  25 from nltk import compat
---> 26 from nltk.corpus import stopwords
  27 from nltk.stem import porter
  28 from nltk.stem.util import suffix_replace

/opt/python36env/lib/python3.6/site-packages/nltk/corpus/__init__.py in <module>()
  64 from nltk.tokenize import RegexpTokenizer
  65 from nltk.corpus.util import LazyCorpusLoader
---> 66 from nltk.corpus.reader import *
  67 
  68 abc = LazyCorpusLoader(

/opt/python36env/lib/python3.6/site-packages/nltk/corpus/reader/__init__.py in <module>()
 103 from nltk.corpus.reader.categorized_sents import *
 104 from nltk.corpus.reader.comparative_sents import *
--> 105 from nltk.corpus.reader.panlex_lite import *
 106 
 107 # Make sure that nltk.corpus.reader.bracket_parse gives the module, not

/opt/python36env/lib/python3.6/site-packages/nltk/corpus/reader/panlex_lite.py in <module>()
  13 
  14 import os
---> 15 import sqlite3
  16 
  17 from nltk.corpus.reader.api import CorpusReader

/usr/local/lib/python3.6/sqlite3/__init__.py in <module>()
  21 # 3. This notice may not be removed or altered from any source distribution.
  22 
---> 23 from sqlite3.dbapi2 import *

/usr/local/lib/python3.6/sqlite3/dbapi2.py in <module>()
  25 import collections.abc
  26 
---> 27 from _sqlite3 import *
  28 
  29 paramstyle = "qmark"

ModuleNotFoundError: No module named '_sqlite3'

從錯(cuò)誤信息來(lái)分析，可以發(fā)現(xiàn)，就是sqlite3找不到而已。

問(wèn)題分析與解決

那就嘗試看看sqlite3是否已經(jīng)安裝：

yum search sqlite3

yum search sqlite3
Loaded plugins: fastestmirror
Loading mirror speeds from cached hostfile
=============================================================================== N/S matched: sqlite3 ================================================================================
libsqlite3x.x86_64 : A C++ Wrapper for the SQLite3 embeddable SQL database engine
libsqlite3x-devel.x86_64 : Development files for libsqlite3x
preludedb-sqlite3.x86_64 : Plugin to use prelude with a SQLite3 database
rubygem-sqlite3.x86_64 : Allows Ruby scripts to interface with a SQLite3 database
rubygem-sqlite3-doc.noarch : Documentation for rubygem-sqlite3
soci-sqlite3.x86_64 : SQLite3 back-end for soci
soci-sqlite3-devel.x86_64 : SQLite3 back-end for soci
uwsgi-plugin-sqlite3.x86_64 : uWSGI - SQLite3 plugin
dspam-sqlite3.x86_64 : SQLite v3.x storage driver for libdspam
golang-googlecode-sqlite-devel.i686 : Trivial sqlite3 binding for Go
golang-googlecode-sqlite-devel.x86_64 : Trivial sqlite3 binding for Go
libsq3.x86_64 : A C++ Wrapper for the SQLite3 embeddable SQL database engine
libsq3-devel.x86_64 : Development files for libsqlite3x
opendbx-sqlite.x86_64 : SQLite 3 backend - provides sqlite3 support in opendbx
python-sqlite3dbm.noarch : SQLite-backed dictionary conforming to the dbm interface
sqlite-devel.i686 : Development tools for the sqlite3 embeddable SQL database engine
sqlite-devel.x86_64 : Development tools for the sqlite3 embeddable SQL database engine
sqlite-tcl.x86_64 : Tcl module for the sqlite3 embeddable SQL database engine
sqlite3-dbf.x86_64 : Converter of XBase / FoxPro tables to SQLite
zabbix20-proxy-sqlite3.x86_64 : Zabbix proxy compiled to use SQLite
zabbix22-dbfiles-sqlite3.noarch : Zabbix database schemas and patches
zabbix22-proxy-sqlite3.x86_64 : Zabbix proxy compiled to use SQLite

找到了sqlite3-devel，那就安裝好了

yum install sqlite-devel

yum install sqlite-devel
Loaded plugins: fastestmirror
Loading mirror speeds from cached hostfile
Resolving Dependencies
--> Running transaction check
---> Package sqlite-devel.x86_64 0:3.7.17-8.el7 will be installed
--> Finished Dependency Resolution

Dependencies Resolved

=====================================================================================================================================================================================
 Package          Arch          Version          Repository        Size
=====================================================================================================================================================================================
Installing:
 sqlite-devel         x86_64         3.7.17-8.el7         base         104 k

Transaction Summary
=====================================================================================================================================================================================
Install 1 Package

Total download size: 104 k
Installed size: 366 k
Is this ok [y/d/N]: y
Downloading packages:
sqlite-devel-3.7.17-8.el7.x86_64.rpm                               | 104 kB 00:00:00  
Running transaction check
Running transaction test
Transaction test succeeded
Running transaction
 Installing : sqlite-devel-3.7.17-8.el7.x86_64                                 1/1 
 Verifying : sqlite-devel-3.7.17-8.el7.x86_64                                 1/1 

Installed:
 sqlite-devel.x86_64 0:3.7.17-8.el7                                     

Complete!

問(wèn)題沒(méi)有解決

重新啟動(dòng)ipython

import nltk

但是問(wèn)題依然存在，哪里出的問(wèn)題呢？

問(wèn)題最終解決

雖然安裝了sqlite3的數(shù)據(jù)庫(kù)，但是對(duì)于ipython的環(huán)境來(lái)說(shuō)，確實(shí)無(wú)法找到sqlite3。

于是，我重新編譯，并且安裝了一下python3。

注意： 這個(gè)是在sqlite3安裝成功之后，在安裝python的運(yùn)行環(huán)境。

于是重新啟動(dòng)ipython，問(wèn)題消逝，一切正常，本質(zhì)上就是sqlite3的安裝，以及sqlite3與python運(yùn)行環(huán)境之間的匹配的問(wèn)題。

總結(jié)

以上就是這篇文章的全部?jī)?nèi)容了，希望本文的內(nèi)容對(duì)大家的學(xué)習(xí)或者工作能帶來(lái)一定的幫助，如果有疑問(wèn)大家可以留言交流，謝謝大家對(duì)腳本之家的支持。

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