Linq to SQL DataContext Lifetime Management
Linq to SQL uses a DataContext to manage it's access to the database as well as tracking changes made to entities retrieved from the database. Linq to SQL has a persistent approach to managing its 'connection' to the database via this data context and it basically assumes that you use a single DataContext to make all of your data related access. This doesn't mean that it makes persistent connections to the database, but means that the DataContext instance maintains state about active result sets, which is especially important if change tracking is on which is the default.
This is somewhat contrary to other ORM tools which tend to have a static manager to which you pass entities or queries that are then returned. In that respect most other ORMs are stateless in their data connectivity and management object where LINQ to SQL clearly takes a connected approach where everything revolves around this single DataContext instance. DataContext holds all the change management information and it makes it very difficult to transfer that context information to another DataContext. In short it's a very different approach and requires some thinking about how you create and manage the DataContext object.
BTW, the ADO.NET Entity framework too uses a similar connected approach with its ObjectContext object which also manages state persistently and requires that you keep the object around if you want to do things like track changes.
This raises some interesting questions on how to manage the lifetime of the DataContext object. There are a lot of options of how you can deal hanging on (or not) to the DataContext. Here are a few different approaches:
Create a new Context for each atomic operation (Application level management)
Create a global DataContext and handle all operations against this single DataContext object
Create a thread specific DataContext
Create a per business object DataContext
What doesn't work
The first thing to understand is if you are coming from an
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下列语句部分是Mssql语句,不可以在access中使用。
SQL分类:
DDL—数据定义语言(CREATE,ALTER,DROP,DECLARE)
DML—数据操纵语言(SELECT,DELETE,UPDATE,INSERT)
DCL—数据控制语言(GRANT,REVOKE,COMMIT,ROLLBACK)
首先,简要介绍基础语句:
1、说明:创建数据库
CREATE DATABASE data ......
学会数据库是很实用D~~记录一些常用的sql语句...有入门有提高有见都没见过的...好全...收藏下...
其实一般用的就是查询,插入,删除等语句而已....但学学存储过程是好事...以后数据方面的东西就不用在程序里搞喽..而且程序与数据库只要一个来回通讯就可以搞定所有数据的操作....
一、基础
1、说明:创建数据库
Create DAT ......
随着B/S模式应用开发的发展,使用这种模式编写应用程序的程序员也越来越多。但是由于程序员的水平及经验也参差不齐,相当大一部分程序员在编写代码的时候,没有对用户输入数据的合法性进行判断,使应用程序存在安全隐患。用户可以提交一段数据库查询代码,根
据程序返回的结果,获得某些他想得知的数据,这就是所谓的SQL ......
为了公司考勤系统的需要
编写的几个简单存储过程(可以手动运行,也可以设置事务自动运行!感觉还行比较通用,写出来共享下)
Calendar表结构很简单,2个字段:
fdDate 日期
fdType 考勤类型(工作日N,周末W,节假日H[需要根据需要自己修改])
--判断一段时间范围内的工作日(N)和周末(W)
Create PR ......
一、适合读者对象
数据库开发程序员,数据库的数据量很多,涉及到对SP(存储过程)的优化的项目开发人员,对数据库有浓厚兴趣的人。
二、介绍
在数据库的开发过程中,经常会遇到复杂的业务逻辑和对数据库的操作,这个时候就会用SP来封装数据库操作。如果项目的SP较多,书写又没有一定的规
范,将会影响以后的系统维护困难 ......