paip.python连接mysql最佳实践o4 python连接mysql 还使用了不少时间...,相比php困难多了..麻烦的.. 而php,就容易的多兰.. python标准库没mysql库,只好第三方兰.. 先看累挂..说MySQLdb...三,不行.. 1. MySQLdb( MySQL-python 1.2.3)支持派森python 2.7的直接wi
paip.python连接mysql最佳实践o4python连接mysql 还使用了不少时间...,相比php困难多了..麻烦的.. 而php,就容易的多兰..
python标准库没mysql库,只好第三方兰..
先看累挂..说MySQLdb...三,不行..
1. MySQLdb( MySQL-python 1.2.3)支持派森python 2.7的直接windows安装包,用的python 2.7的朋友可以使用,使用python 3.x的朋友就不支持了
2.还没二进制的安装包,..要源码编译..麻烦的..windows上要安装linux编译环境MinGW了..pass..
作者: 老哇的爪子Attilax 艾龙, EMAIL:1466519819@qq.com
来源:http://blog.csdn.net/attilax
================mysql-connector-python
目前MySQLdb并不支持python3.x,网上找了一些方法,后来我还是偶然发现MySQL官方已经提供了MySQL连接器,而且已经有支持Python3.x的版本了。MySQL Connector/Python, a self-contained Python driver for communicating with MySQL servers. 这个用起来还是感觉比较顺手的。有二进制包了...
mysql-connector-python-1.1.6-py3.3.msi (111kb)
三,安装的时候儿要python了.俄的机器上有个python3.3.4了,绿色版本的..因为这个新不上...只好在安装了python3.3.5(20M),这才安上.安装到个D:\Python335\Lib\site-packages\mysql 里面兰..看累挂,都是py文件,没编译..
eric5里面f2 运行文件 D:\Python335\Python.exe D:\workSpacePython\halo.py ,三,说新不上mysql 模块..查看sys.path这个库加载的路线..
import sys, os
print( sys.path)
三是eric的路线
['', 'D:\\workSpacePython', 'D:\\Python334eric\\Lib\\site-packages\\eric5\\DebugClients\\Python3', 'D:\\Python334eric\\python33.zip', 'D:\\Python334eric\\DLLs', 'D:\\Python334eric\\lib', 'D:\\Python334eric', 'D:\\Python334eric\\lib\\site-packages', 'D:\\Python334eric\\lib\\site-packages\\win32', 'D:\\Python334eric\\lib\\site-packages\\win32\\lib', 'D:\\Python334eric\\lib\\site-packages\\Pythonwin']
只好不个那复制到个仄哈面儿,ok兰...
Python.exe D:\workSpacePython\getpath.py
===============例子代码
my_dict = { 'a':1, 'b':2 }
#然后敲"my_dict.",出不来字典的各个函数,ctrl+space也不行。
import sys, os
print( sys.path)
# 引入 MySQL 模組
#import MySQLdb
import mysql.connector
# 連接到 MySQL
#db = MySQLdb.connect(host="localhost", user="root", passwd="", db="dbc8")
#cursor = db.cursor()
user = 'root'
pwd = ''
host = '127.0.0.1'
db = 'dbc8'
cnx = mysql.connector.connect(user=user, password=pwd, host=host, database=db)
cursor = cnx.cursor()
# 執行 SQL 語句
cursor.execute("SELECT * FROM grejx where 1=1 limit 30000")
#result = cursor.fetchall()
#print(result)
#[('abandon', 'v./n.放弃;放纵', 2), ('abash', 'v.使害羞,使尴尬', 3), ('abate', 'v.减轻,减少', 4)]
# 輸出結果
#for record in result:
# print( record[0] )
#print(cursor)
#MySQLCursor: SELECT * FROM grejx limit 3
homedirx=os.path.split(os.path.realpath(__file__))[0]
#sys.path.append(".")
#sys.path.append(homedirx)
#print( sys.path)
import pkg.strUtil
from pkg.strUtil import *
import strUtil2
from strUtil2 import *
#o44()
#strUtil2.o45()
conn2 = mysql.connector.connect(user=user, password=pwd, host=host, database=db)
cursorInsert = conn2.cursor()
import dicUtil
from dicUtil import *
#this must match field amout and order in sql
for (en, cn, id) in cursor:
if(hasTsisin(cn)):
tsisin=left_ByDot(cn)
cnstr=right_ByDot(cn)
else:
tsisin="nonx."
cnstr=cn
cnstr=cnstr.replace(";", ",")
cnstr=cnstr.replace(",", ",")
cnstr_a=cnstr.split(",")
# for index8 in range(len(list)):
# print index8
# print list[index8]
print (" "+tsisin+"---"+cnstr)
for index,v in enumerate(cnstr_a):
# print ()index
# print (v) strip
sql=" insert into grejx_def (en,cn,nAdjV)values('@en','@cn','@adj')"
sql=sql.replace("@en", trim(en)).replace("@cn", v.strip()).replace("@adj", tsisin.strip())
print(sql)
reslt=cursorInsert.execute(sql)
print("---insert resl:")
print(reslt)
conn2.commit()
参考
在Windows上的python3.3安装MySQLdb的故事 | 袁小空神神叨叨的碎碎念
笑遍世界 ? Python3连接MySQL数据库

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The difference between MySQL and SQLServer is: 1) MySQL is open source and suitable for web and embedded systems, 2) SQLServer is a commercial product of Microsoft and is suitable for enterprise-level applications. There are significant differences between the two in storage engine, performance optimization and application scenarios. When choosing, you need to consider project size and future scalability.

In enterprise-level application scenarios that require high availability, advanced security and good integration, SQLServer should be chosen instead of MySQL. 1) SQLServer provides enterprise-level features such as high availability and advanced security. 2) It is closely integrated with Microsoft ecosystems such as VisualStudio and PowerBI. 3) SQLServer performs excellent in performance optimization and supports memory-optimized tables and column storage indexes.

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A MySQL trigger is an automatically executed stored procedure associated with a table that is used to perform a series of operations when a specific data operation is performed. 1) Trigger definition and function: used for data verification, logging, etc. 2) Working principle: It is divided into BEFORE and AFTER, and supports row-level triggering. 3) Example of use: Can be used to record salary changes or update inventory. 4) Debugging skills: Use SHOWTRIGGERS and SHOWCREATETRIGGER commands. 5) Performance optimization: Avoid complex operations, use indexes, and manage transactions.

The steps to create and manage user accounts in MySQL are as follows: 1. Create a user: Use CREATEUSER'newuser'@'localhost'IDENTIFIEDBY'password'; 2. Assign permissions: Use GRANTSELECT, INSERT, UPDATEONmydatabase.TO'newuser'@'localhost'; 3. Fix permission error: Use REVOKEALLPRIVILEGESONmydatabase.FROM'newuser'@'localhost'; then reassign permissions; 4. Optimization permissions: Use SHOWGRA

MySQL is suitable for rapid development and small and medium-sized applications, while Oracle is suitable for large enterprises and high availability needs. 1) MySQL is open source and easy to use, suitable for web applications and small and medium-sized enterprises. 2) Oracle is powerful and suitable for large enterprises and government agencies. 3) MySQL supports a variety of storage engines, and Oracle provides rich enterprise-level functions.

The disadvantages of MySQL compared to other relational databases include: 1. Performance issues: You may encounter bottlenecks when processing large-scale data, and PostgreSQL performs better in complex queries and big data processing. 2. Scalability: The horizontal scaling ability is not as good as Google Spanner and Amazon Aurora. 3. Functional limitations: Not as good as PostgreSQL and Oracle in advanced functions, some functions require more custom code and maintenance.


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