本文实例讲述了pymssql数据库操作MSSQL2005的方法。分享给大家供大家参考。具体如下:
使用的MSSQL2005,通过pymssql来连接的。把可能用到的数据库操作方式都总结如下,如果要用的时候就备查啦。
#!/usr/bin/env python #coding=utf-8 from __future__ import with_statement from contextlib import closing import inspect import pymssql import uuid import datetime #查询操作 with closing(pymssql.connect(host='localhost',user='sa',password='pppp',database='blogs')) as conn : cur = conn.cursor() #SELECT 长连接查询操作(逐条方式获取数据) sql = "select * from pcontent" cur.execute(sql) for i in range(cur.rowcount): print cur.fetchone() #SELECT 短链接查询操作(一次查询将所有数据取出) sql = "select * from pcontent" cur.execute(sql) print cur.fetchall() #INSERT sql = "INSERT INTO pcontent(title)VAlUES(%s)" uuidstr = str(uuid.uuid1()) cur.execute(sql,(uuidstr,)) conn.commit() print cur._result #INSERT 获取IDENTITY(在插入一个值,希望获得主键的时候经常用到,很不优雅的方式) sql = "INSERT INTO pcontent(title)VAlUES(%s);SELECT @@IDENTITY" uuidstr = str(uuid.uuid1()) cur.execute(sql,(uuidstr,)) print "arraysite:",cur.arraysize print cur._result[1][2][0][0]#不知道具体的做法,目前暂时这样使用 conn.commit() #Update vl = '中国' sql = 'update pcontent set title = %s where id=1' cur.execute(sql,(vl,)) conn.commit() #参数化查询这个是为了避免SQL攻击的 sql = "select * from pcontent where id=%d" cur.execute(sql,(1,)) print cur.fetchall() # 调用存储过程SP_GetALLContent 无参数 sql = "Exec SP_GetALLContent" cur.execute(sql) print cur.fetchall() # 调用存储过程SP_GetContentByID 有参数的 sql = "Exec SP_GetContentByID %d" cur.execute(sql,(3,)) print cur.fetchall() #调用存储过程SP_AddContent 有output参数的(很不优雅的方式) sql = "DECLARE @ID INT;EXEC SP_AddContent 'ddddd',@ID OUTPUT;SELECT @ID" cur.execute(sql) print cur._result
希望本文所述对大家的Python程序设计有所帮助。

Python is an interpreted language, but it also includes the compilation process. 1) Python code is first compiled into bytecode. 2) Bytecode is interpreted and executed by Python virtual machine. 3) This hybrid mechanism makes Python both flexible and efficient, but not as fast as a fully compiled language.

Useaforloopwheniteratingoverasequenceorforaspecificnumberoftimes;useawhileloopwhencontinuinguntilaconditionismet.Forloopsareidealforknownsequences,whilewhileloopssuitsituationswithundeterminediterations.

Pythonloopscanleadtoerrorslikeinfiniteloops,modifyinglistsduringiteration,off-by-oneerrors,zero-indexingissues,andnestedloopinefficiencies.Toavoidthese:1)Use'i

Forloopsareadvantageousforknowniterationsandsequences,offeringsimplicityandreadability;whileloopsareidealfordynamicconditionsandunknowniterations,providingcontrolovertermination.1)Forloopsareperfectforiteratingoverlists,tuples,orstrings,directlyacces

Pythonusesahybridmodelofcompilationandinterpretation:1)ThePythoninterpretercompilessourcecodeintoplatform-independentbytecode.2)ThePythonVirtualMachine(PVM)thenexecutesthisbytecode,balancingeaseofusewithperformance.

Pythonisbothinterpretedandcompiled.1)It'scompiledtobytecodeforportabilityacrossplatforms.2)Thebytecodeistheninterpreted,allowingfordynamictypingandrapiddevelopment,thoughitmaybeslowerthanfullycompiledlanguages.

Forloopsareidealwhenyouknowthenumberofiterationsinadvance,whilewhileloopsarebetterforsituationswhereyouneedtoloopuntilaconditionismet.Forloopsaremoreefficientandreadable,suitableforiteratingoversequences,whereaswhileloopsoffermorecontrolandareusefulf

Forloopsareusedwhenthenumberofiterationsisknowninadvance,whilewhileloopsareusedwhentheiterationsdependonacondition.1)Forloopsareidealforiteratingoversequenceslikelistsorarrays.2)Whileloopsaresuitableforscenarioswheretheloopcontinuesuntilaspecificcond


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Dreamweaver Mac version
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.
