本篇對於Python操作MySQL主要使用兩種方式：
pymsql是Python中操作MySQL的模塊，其使用方法和MySQLdb幾乎相同。
下載安裝
pip3 install pymysql
使用操作
1、執行SQL
#!/usr/bin/env python
# -*- coding:utf-8 -*-
import pymysql
# 創建連接
conn = pymysql.connect(host='127.0.0.1', port=3306, user='root', passwd='123', db='t1')
# 創建游標
cursor = conn.cursor()
# 執行SQL，並返回收影響行數
effect_row = cursor.execute("update hosts set host = '1.1.1.2'")
# 執行SQL，並返回受影響行數
#effect_row = cursor.execute("update hosts set host = '1.1.1.2' where nid > %s", (1,))
# 執行SQL，並返回受影響行數
#effect_row = cursor.executemany("insert into hosts(host,color_id)values(%s,%s)", [("1.1.1.11",1),("1.1.1.11",2)])
# 提交，不然無法保存新建或者修改的數據
conn.commit()
# 關閉游標
cursor.close()
# 關閉連接
conn.close()
2、獲取新創建數據自增ID
#!/usr/bin/env python
# -*- coding:utf-8 -*-
import pymysql
conn = pymysql.connect(host='127.0.0.1', port=3306, user='root', passwd='123', db='t1')
cursor = conn.cursor()
cursor.executemany("insert into hosts(host,color_id)values(%s,%s)", [("1.1.1.11",1),("1.1.1.11",2)])
conn.commit()
cursor.close()
conn.close()
# 獲取最新自增ID
new_id = cursor.lastrowid
3、獲取查詢數據
#!/usr/bin/env python
# -*- coding:utf-8 -*-
import pymysql
conn = pymysql.connect(host='127.0.0.1', port=3306, user='root', passwd='123', db='t1')
cursor = conn.cursor()
cursor.execute("select * from hosts")
# 獲取第一行數據
row_1 = cursor.fetchone()
# 獲取前n行數據
# row_2 = cursor.fetchmany(3)
# 獲取所有數據
# row_3 = cursor.fetchall()
conn.commit()
cursor.close()
conn.close()
注：在fetch數據時按照順序進行，可以使用cursor.scroll(num,mode)來移動游標位置，如：
4、fetch數據類型
關於默認獲取的數據是元祖類型，如果想要或者字典類型的數據，即：
#!/usr/bin/env python
# -*- coding:utf-8 -*-
import pymysql
conn = pymysql.connect(host='127.0.0.1', port=3306, user='root', passwd='123', db='t1')
# 游標設置為字典類型
cursor = conn.cursor(cursor=pymysql.cursors.DictCursor)
r = cursor.execute("call p1()")
result = cursor.fetchone()
conn.commit()
cursor.close()
conn.close()
SQLAlchemy是Python編程語言下的一款ORM框架，該框架建立在數據庫API之上，使用關系對象映射進行數據庫操作，簡言之便是：將對象轉換成SQL，然後使用數據API執行SQL並獲取執行結果。
安裝：
pip3 install SQLAlchemy
SQLAlchemy本身無法操作數據庫，其必須以來pymsql等第三方插件，Dialect用於和數據API進行交流，根據配置文件的不同調用不同的數據庫API，從而實現對數據庫的操作，如：
MySQL-Python
mysql+mysqldb://<user>:<password>@<host>[:<port>]/<dbname>
pymysql
mysql+pymysql://<username>:<password>@<host>/<dbname>[?<options>]
MySQL-Connector
mysql+mysqlconnector://<user>:<password>@<host>[:<port>]/<dbname>
cx_Oracle
oracle+cx_oracle://user:pass@host:port/dbname[?key=value&key=value...]
更多詳見：http://docs.sqlalchemy.org/en/latest/dialects/index.html
一、內部處理
使用 Engine/ConnectionPooling/Dialect 進行數據庫操作，Engine使用ConnectionPooling連接數據庫，然後再通過Dialect執行SQL語句。
#!/usr/bin/env python
# -*- coding:utf-8 -*-
from sqlalchemy import create_engine
engine = create_engine("mysql+pymysql://root:[email protected]:3306/t1", max_overflow=5)
# 執行SQL
# cur = engine.execute(
# "INSERT INTO hosts (host, color_id) VALUES ('1.1.1.22', 3)"
# )
# 新插入行自增ID
# cur.lastrowid
# 執行SQL
# cur = engine.execute(
# "INSERT INTO hosts (host, color_id) VALUES(%s, %s)",[('1.1.1.22', 3),('1.1.1.221', 3),]
# )
# 執行SQL
# cur = engine.execute(
# "INSERT INTO hosts (host, color_id) VALUES (%(host)s, %(color_id)s)",
# host='1.1.1.99', color_id=3
# )
# 執行SQL
# cur = engine.execute('select * from hosts')
# 獲取第一行數據
# cur.fetchone()
# 獲取第n行數據
# cur.fetchmany(3)
# 獲取所有數據
# cur.fetchall()
二、ORM功能使用
使用 ORM/Schema Type/SQL Expression Language/Engine/ConnectionPooling/Dialect 所有組件對數據進行操作。根據類創建對象，對象轉換成SQL，執行SQL。
1、創建表
#!/usr/bin/env python
# -*- coding:utf-8 -*-
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String, ForeignKey, UniqueConstraint, Index
from sqlalchemy.orm import sessionmaker, relationship
from sqlalchemy import create_engine
engine = create_engine("mysql+pymysql://root:[email protected]:3306/t1", max_overflow=5)
Base = declarative_base()
# 創建單表
class Users(Base):
__tablename__ = 'users'
id = Column(Integer, primary_key=True)
name = Column(String(32))
extra = Column(String(16))
__table_args__ = (
UniqueConstraint('id', 'name', name='uix_id_name'),
Index('ix_id_name', 'name', 'extra'),
)
# 一對多
class Favor(Base):
__tablename__ = 'favor'
nid = Column(Integer, primary_key=True)
caption = Column(String(50), default='red', unique=True)
class Person(Base):
__tablename__ = 'person'
nid = Column(Integer, primary_key=True)
name = Column(String(32), index=True, nullable=True)
favor_id = Column(Integer, ForeignKey("favor.nid"))
# 多對多
class Group(Base):
__tablename__ = 'group'
id = Column(Integer, primary_key=True)
name = Column(String(64), unique=True, nullable=False)
port = Column(Integer, default=22)
class Server(Base):
__tablename__ = 'server'
id = Column(Integer, primary_key=True, autoincrement=True)
hostname = Column(String(64), unique=True, nullable=False)
class ServerToGroup(Base):
__tablename__ = 'servertogroup'
nid = Column(Integer, primary_key=True, autoincrement=True)
server_id = Column(Integer, ForeignKey('server.id'))
group_id = Column(Integer, ForeignKey('group.id'))
def init_db():
Base.metadata.create_all(engine)
def drop_db():
Base.metadata.drop_all(engine)
注：設置外檢的另一種方式 ForeignKeyConstraint(['other_id'], ['othertable.other_id'])
2、操作表
更多功能參見文檔，猛擊這裡下載PDF
