docker--在Anaconda jupyter 容器中使用oracle数据源时，Oracle客户端安装配置及使用示例

配置oracle 11.2 客户端

• 将instantclient-basic-linux.x64-11.2.0.4.0.zip解压至/home/jupyter/oracle/
• 将instantclient-sqlplus-linux.x64-11.2.0.4.0.zip解压/home/jupyter/oracle/【可选，提供sqlplus命令】
• 复制【操作系统一般都有安装libaio.so】 cp /usr/lib64/libaio.so.1 /home/jupyter/oracle/instantclient_11_2/
• ln -s /home/jupyter/oracle/instantclient_11_2/libclntsh.so.11.1 /home/jupyter/oracle/instantclient_11_2/libclntsh.so

docker run -d --rm --name=jupyter-server -p 8888:8888 \
	-e  LD_LIBRARY_PATH=/home/oracle/client:$LD_LIBRARY_PATH 
	-v /home/jupyter/notebook:/root/jupyter:rw 
	-v /home/jupyter/oracle/instantclient_11_2:/home/oracle/client 
	-v /home/jupyter/assets:/opt/conda/lib/python3.9/site-packages/notebook/static/components/pyecharts/assets:ro jupyter:2023.8.23
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在jupyter中使用示例

导入依赖m

import cx_Oracle
import pandas as pd
import os
from sqlalchemy import create_engine
os.environ['NLS_LANG']='SIMPLIFIED CHINESE_CHINA.UTF8'
from sqlalchemy import text
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使用cursor方式

conn = cx_Oracle.connect('user/pw@192.168.18.19:1521/orcl')
cursor=conn.cursor()
cursor.execute("select * from USER ")
cursor.fetchall()[0]
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pandas方式

原生连接方式

df=pd.read_sql("select * from USER where IS_STATUS=:status",conn,params={'status':2})
df
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使用sqlalchemy方式

engine = create_engine("oracle+cx_oracle://user:pw@192.168.18.19:1521/orcl",echo=False)
conn = engine.connect()
df=pd.read_sql_query(text("select * from USER where IS_STATUS=1"),con=conn)
df
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碰到的坑

• 报 'OptionEngine' object has no attribute 'execute'错误
• 报Not an executable object:

oracle instant-client下载与安装sqlplus
Centos7-安装oracle客户端11.2.0.4
Linux系统安装oracle客户端步骤详解
sqlalchemy+pandas：错误 ‘OptionEngine’ object has no attribute ‘execute’，‘str’ object has no attribute ‘_execute_on_connection’

instant-client for linux-x86-64
instant-client for win64