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

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()

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

你可以用这种方式连接你的python代码到mysql。

import MySQLdb
db = MySQLdb.connect(host="localhost",
                 user="appuser",
                 passwd="",
                 db="onco")

cursor = db.cursor()

对于Python3.6，我找到了两个驱动程序:pymysql和mysqlclient。我测试了它们之间的性能，得到的结果是:mysqlclient更快。

下面是我的测试过程(需要安装python lib profilehooks来分析时间流逝:

select * from FOO;

立即在mysql终端执行: set中有46410行(0.10秒)

pymysql (2 . 4s):

from profilehooks import profile
import pymysql.cursors
import pymysql
connection = pymysql.connect(host='localhost', user='root', db='foo')
c = connection.cursor()

@profile(immediate=True)
def read_by_pymysql():
    c.execute("select * from FOO;")
    res = c.fetchall()

read_by_pymysql()

下面是pymysql的配置文件:

mysqlclient 0.4s)

from profilehooks import profile
import MySQLdb

connection = MySQLdb.connect(host='localhost', user='root', db='foo')
c = connection.cursor()

@profile(immediate=True)
def read_by_mysqlclient():
    c.execute("select * from FOO;")
    res = c.fetchall()

read_by_mysqlclient()

下面是mysqlclient的配置文件:

因此，mysqlclient似乎比pymysql快得多

这是Mysql数据库连接

from flask import Flask, render_template, request
from flask_mysqldb import MySQL

app = Flask(__name__)


app.config['MYSQL_HOST'] = 'localhost'
app.config['MYSQL_USER'] = 'root'
app.config['MYSQL_PASSWORD'] = 'root'
app.config['MYSQL_DB'] = 'MyDB'

mysql = MySQL(app)


@app.route('/', methods=['GET', 'POST']) 
def index():
    if request.method == "POST":
        details = request.form
        cur = mysql.connection.cursor()
        cur.execute ("_Your query_")
        mysql.connection.commit()
        cur.close()
        return 'success'
    return render_template('index.html')


if __name__ == '__main__':
    app.run()