如何使用python程序连接MySQL数据库?
当前回答
SqlAlchemy
SQLAlchemy是Python SQL工具包和对象关系映射器 为应用程序开发人员提供了SQL的全部功能和灵活性。 SQLAlchemy提供了一个完整的著名企业级套件 持久性模式,为高效和高性能而设计 数据库访问,改编成简单的python域语言。
安装
pip install sqlalchemy
原始查询
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker, scoped_session
engine = create_engine("mysql://<user_name>:<password>@<host_name>/<db_name>")
session_obj = sessionmaker(bind=engine)
session = scoped_session(session_obj)
# insert into database
session.execute("insert into person values(2, 'random_name')")
session.flush()
session.commit()
蠕虫方式
from sqlalchemy import Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker, scoped_session
Base = declarative_base()
engine = create_engine("mysql://<user_name>:<password>@<host_name>/<db_name>")
session_obj = sessionmaker(bind=engine)
session = scoped_session(session_obj)
# Bind the engine to the metadata of the Base class so that the
# declaratives can be accessed through a DBSession instance
Base.metadata.bind = engine
class Person(Base):
__tablename__ = 'person'
# Here we define columns for the table person
# Notice that each column is also a normal Python instance attribute.
id = Column(Integer, primary_key=True)
name = Column(String(250), nullable=False)
# insert into database
person_obj = Person(id=12, name="name")
session.add(person_obj)
session.flush()
session.commit()
其他回答
首先,从https://dev.mysql.com/downloads/connector/python/安装python-mysql连接器
在Python控制台输入:
pip install mysql-connector-python-rf
import mysql.connector
对于python 3.3
CyMySQL https://github.com/nakagami/CyMySQL
我在windows 7上安装了pip,只是 安装cymysql
(你不需要cython) 快速无痛
SqlAlchemy
SQLAlchemy是Python SQL工具包和对象关系映射器 为应用程序开发人员提供了SQL的全部功能和灵活性。 SQLAlchemy提供了一个完整的著名企业级套件 持久性模式,为高效和高性能而设计 数据库访问,改编成简单的python域语言。
安装
pip install sqlalchemy
原始查询
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker, scoped_session
engine = create_engine("mysql://<user_name>:<password>@<host_name>/<db_name>")
session_obj = sessionmaker(bind=engine)
session = scoped_session(session_obj)
# insert into database
session.execute("insert into person values(2, 'random_name')")
session.flush()
session.commit()
蠕虫方式
from sqlalchemy import Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker, scoped_session
Base = declarative_base()
engine = create_engine("mysql://<user_name>:<password>@<host_name>/<db_name>")
session_obj = sessionmaker(bind=engine)
session = scoped_session(session_obj)
# Bind the engine to the metadata of the Base class so that the
# declaratives can be accessed through a DBSession instance
Base.metadata.bind = engine
class Person(Base):
__tablename__ = 'person'
# Here we define columns for the table person
# Notice that each column is also a normal Python instance attribute.
id = Column(Integer, primary_key=True)
name = Column(String(250), nullable=False)
# insert into database
person_obj = Person(id=12, name="name")
session.add(person_obj)
session.flush()
session.commit()
这里有一种方法,使用MySQLdb,它只支持Python 2:
#!/usr/bin/python
import MySQLdb
# Connect
db = MySQLdb.connect(host="localhost",
user="appuser",
passwd="",
db="onco")
cursor = db.cursor()
# Execute SQL select statement
cursor.execute("SELECT * FROM location")
# Commit your changes if writing
# In this case, we are only reading data
# db.commit()
# Get the number of rows in the resultset
numrows = cursor.rowcount
# Get and display one row at a time
for x in range(0, numrows):
row = cursor.fetchone()
print row[0], "-->", row[1]
# Close the connection
db.close()
参考这里
Mysqlclient是最好的,因为其他的只支持特定版本的python
pip install mysqlclient
示例代码
import mysql.connector
import _mysql
db=_mysql.connect("127.0.0.1","root","umer","sys")
#db=_mysql.connect(host,user,password,db)
# Example of how to insert new values:
db.query("""INSERT INTO table1 VALUES ('01', 'myname')""")
db.store_result()
db.query("SELECT * FROM new1.table1 ;")
#new1 is scheme table1 is table mysql
res= db.store_result()
for i in range(res.num_rows()):
print(result.fetch_row())
参见https://github.com/PyMySQL/mysqlclient-python
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