吴裕雄 python oracle检索数据(1)
import cx_Oracle
conn = cx_Oracle.connect("scott/admin@localhost:1521/ORCL")
cursor = conn.cursor()
sql = "select * from emp"
cursor.execute(sql)
result = cursor.fetchall()
for row in result:
print(row)

job = 'SALESMAN'
sql = "select * from emp where job='%s'" % job
cursor.execute(sql)
result = cursor.fetchall()
for row in result:
print(row)

job = 'SALESMAN'
sql = "select * from emp where job='%s' order by empno" % job
cursor.execute(sql)
result = cursor.fetchall()
for row in result:
print(row)

sql = "select * from dept"
cursor.execute(sql)
result = cursor.fetchall()
for row in result:
print(row)

sql = "select rowid,job,ename from emp"
cursor.execute(sql)
result = cursor.fetchall()
for row in result:
print(row)

sql = "select sal*(1+0.1),sal from emp"
cursor.execute(sql)
result = cursor.fetchall()
for row in result:
print(row)

sql = """select empno as "%s", ename as "%s", job as "%s" from emp""" % ('员工编号','员工姓名','职务')
cursor.execute(sql)
result = cursor.fetchall()
for row in result:
print(row)

sql = """select empno "%s", ename "%s", job "%s" from emp""" % ('员工编号','员工姓名','职务')
cursor.execute(sql)
result = cursor.fetchall()
for row in result:
print(row)

sql = "select distinct job from emp"
cursor.execute(sql)
result = cursor.fetchall()
for row in result:
print(row)

sql = "select * from emp where sal<>all(3000,950,800)"
cursor.execute(sql)
result = cursor.fetchall()
for row in result:
print(row)

sql = "select * from emp where ename like 'S%'"
cursor.execute(sql)
result = cursor.fetchall()
for row in result:
print(row)

sql = "select * from emp where job in ('%s','MANAGER','%s')" % ('PRESIDENT','ANALYST')
cursor.execute(sql)
result = cursor.fetchall()
for row in result:
print(row)

sql = "select * from emp where job not in ('%s','MANAGER','%s')" % ('PRESIDENT','ANALYST')
cursor.execute(sql)
result = cursor.fetchall()
for row in result:
print(row)

sql = "select * from emp where sal not between 2000 and 3000"
cursor.execute(sql)
result = cursor.fetchall()
for row in result:
print(row)

sql = "select * from emp where sal between 2000 and 3000"
cursor.execute(sql)
result = cursor.fetchall()
for row in result:
print(row)

import cx_Oracle
conn = cx_Oracle.connect("hr/admin@localhost:1521/ORCL")
cursor = conn.cursor()
sql = "select * from locations where state_province is null"
cursor.execute(sql)
result = cursor.fetchall()
for row in result:
print(row)

import cx_Oracle
conn = cx_Oracle.connect("scott/admin@localhost:1521/ORCL")
cursor = conn.cursor()
sql = "select * from emp where sal>=2000 and sal<=3000"
cursor.execute(sql)
result = cursor.fetchall()
for row in result:
print(row)

sql = "select * from emp where sal<2000 or sal>3000"
cursor.execute(sql)
result = cursor.fetchall()
for row in result:
print(row)

sql = "select deptno,job from emp group by deptno,job order by deptno"
cursor.execute(sql)
result = cursor.fetchall()
for row in result:
print(row)

sql = "select deptno as 员工编号,avg(sal) as 平均工资 from emp group by deptno"
cursor.execute(sql)
result = cursor.fetchall()
for row in result:
print(row)

sql = "select deptno as 员工编号,avg(sal) as 平均工资 from emp group by deptno having avg(sal)>2000"
cursor.execute(sql)
result = cursor.fetchall()
for row in result:
print(row)

sql = "select deptno,empno,ename from emp order by deptno,empno"
cursor.execute(sql)
result = cursor.fetchall()
for row in result:
print(row)

sql = "select e.empno,e.ename,d.deptno from emp e, dept d where e.deptno=d.deptno and e.job='%s'" % ('MANAGER')
cursor.execute(sql)
result = cursor.fetchall()
for row in result:
print(row)

sql = "select e.empno,e.ename,d.dname from emp e inner join dept d on e.deptno=d.deptno"
cursor.execute(sql)
result = cursor.fetchall()
for row in result:
print(row)

sql = "insert into emp(empno,ename,job) values(9527,'%s','%s')" % ('EAST','SALESMAN')
cursor.execute(sql)
conn.commit()
print("添加成功...")

sql = "select e.empno,e.ename,e.job,d.deptno,d.dname from emp e left join dept d on e.deptno=d.deptno"
cursor.execute(sql)
result = cursor.fetchall()
for row in result:
print(row)

sql = "select e.empno,e.ename,e.job,d.deptno,d.dname from emp e right join dept d on e.deptno=d.deptno"
cursor.execute(sql)
result = cursor.fetchall()
for row in result:
print(row)

sql = "select empno,ename,job,deptno,dname from emp natural join dept where sal>2000"
cursor.execute(sql)
result = cursor.fetchall()
for row in result:
print(row)

sql = "select em2.ename,em1.ename from emp em1 left join emp em2 on em1.mgr=em2.empno order by em1.mgr"
cursor.execute(sql)
result = cursor.fetchall()
for row in result:
print(row)

sql = "select count(*) from dept cross join emp"
cursor.execute(sql)
result = cursor.fetchall()
for row in result:
print(row)

吴裕雄 python oracle检索数据(1)的更多相关文章
- 吴裕雄 python oracle检索数据(2)
import cx_Oracle conn = cx_Oracle.connect("scott/admin@localhost:1521/orcl")cursor = conn. ...
- 吴裕雄 python oracle操作数据库(4)
import cx_Oracle conn = cx_Oracle.connect("scott/admin@localhost:1521/orcl")cursor = conn. ...
- 吴裕雄 python oracle子查询的用法(3)
import cx_Oracle conn = cx_Oracle.connect("scott/admin@localhost:1521/orcl")cursor = conn. ...
- Oracle 检索数据(查询数据、select语句)
用户对表或视图最常进行的操作就是检索数据,检索数据可以通过 select 语句来实现,该语句由多个子句组成,通过这些子句完成筛选.投影和连接等各种数据操作,最终得到想要的结果. 语法: select ...
- 吴裕雄 python 机器学习——数据预处理过滤式特征选取SelectPercentile模型
from sklearn.feature_selection import SelectPercentile,f_classif #数据预处理过滤式特征选取SelectPercentile模型 def ...
- 吴裕雄 python 机器学习——数据预处理过滤式特征选取VarianceThreshold模型
from sklearn.feature_selection import VarianceThreshold #数据预处理过滤式特征选取VarianceThreshold模型 def test_Va ...
- 吴裕雄 python 机器学习——数据预处理正则化Normalizer模型
from sklearn.preprocessing import Normalizer #数据预处理正则化Normalizer模型 def test_Normalizer(): X=[[1,2,3, ...
- 吴裕雄 python 机器学习——数据预处理标准化MaxAbsScaler模型
from sklearn.preprocessing import MaxAbsScaler #数据预处理标准化MaxAbsScaler模型 def test_MaxAbsScaler(): X=[[ ...
- 吴裕雄 python 机器学习——数据预处理标准化StandardScaler模型
from sklearn.preprocessing import StandardScaler #数据预处理标准化StandardScaler模型 def test_StandardScaler() ...
随机推荐
- NUMA的取舍与优化设置
在os层numa关闭时,打开bios层的numa会影响性能,QPS会下降15-30%; 在bios层面numa关闭时,无论os层面的numa是否打开,都不会影响性能. 安装numactl: ...
- Echarts动态加载饼状图的实例
一.引入echarts.js文件(下载页:http://echarts.baidu.com/download.html) 二.HTML代码: <div style="width: 10 ...
- django模型之meta使用
模型元数据Meta是“任何不是字段的数据”,比如排序选项(ordering),数据库表名(db_table)或者人类可读的单复数名称(verbose_name 和verbose_name_plural ...
- nodejs学习笔记<七> 路由
// 引用模块(与C#中命名空间,Java中引用包同理) var http = require("http"); var path = require("path&quo ...
- Vue.js基础(一)
Vue.js的雏形: 数据绑定: 1,单向 {{输出}} 数据=>视图 2,双向 v-model 数据<=>视图 3,{{*msg}} 数据只绑 ...
- Oracle 更改字符集 更改后之前的中文全成乱码了
安装时采用什么字符集主要看你的需求,一般测试用的话,就用UTF8.后面可以修改, 10g:UTF8 到ZHS16GBK SHUTDOWN IMMEDIATE; STARTUP MOUNT ; ALTE ...
- ROS学习手记 - 7 创建ROS msg & srv
至此,我们初步学习了ROS的基本工具,接下来一步步理解ROS的各个工作部件的创建和工作原理. 本文的详细文档:http://wenku.baidu.com/view/623f41b3376baf1ff ...
- scrapy之downloader执行流程
Agent = client.Agent class ScrapyAgent(object): _Agent = Agent#为twisted的client.Agent类 _ProxyAgent = ...
- MySQL 中 mysqld_safe 与 mysqld 区别,以及 mysqld_safe 的使用介绍
[mysqld_safe 与 mysqld 区别] 直接运行mysqld程序来启动MySQL服务的方法很少见 mysqld_safe脚本会在启动MySQL服务器后继续监控其运行情况,并在其死机时重新启 ...
- Selenium2自动化测试实战(基于Python语言)— 编写第一个自动化脚本
实现效果:执行脚本后启动Firefox浏览器后进入百度主页,输入“Selenium”后,单击搜索按钮,最后关闭浏览器的过程(默认安装了Firefox浏览器),如下图所示: 脚本内容如下: # -*- ...