减少数据访问层中的代码重复。
web流中非事务性数据访问。
将数据访问任务的性能调优降到最低。
SPARQL不需要设计数据访问接口。
SPARQL doesn't require you to design a data access interface.
存储过程和统一数据访问。
然而，实现数据访问的模型和方法一直在变。
Yet, the models and methods for doing data access are continually changing.
乐观锁定的使用能实现更多地同时数据访问。
The use of optimistic locking offers more concurrent access to the data.
数据访问层被设计为一系列粗粒度的DAO。
The data access tier is designed as a set of coarse-grained DAOs.
模拟数据访问对象实际上模拟后端数据存储。
Simulated data access objects essentially simulate a back-end datastore.
数据访问对象既可以匹配也可以不匹配域对象。
Data access objects may or may not match the domain objects.
尤其是，必须特别关注用户未来的数据访问需求。
In particular, great care must be given to the data access needs of future, unintended users.
而业务逻辑层则请求数据访问层处理数据持久性。
The Business Logic Layer, in turn, requests that the data Access Layer deal with data persistence.
用户标识必须传播到服务中，并用于授权数据访问。
User identity must be propagated into services and used to authorize data access.
当域对象离开数据访问层时，它与实体管理器脱离。
When a domain object leaves the data access tier, it gets detached from the entity manager.
这些方法中使用的控制数据访问器在下一步中定义。
The control data accessors used in the methods are defined in next step.
我个人倾向于将所有的数据访问逻辑封装到这个类中。
Personally I like the idea of keeping all the data access logic encapsulated in that class.
使用数据访问对象来抽象和封装对数据源的所有访问。
Use a Data Access Object (DAO) to abstract and encapsulate all access to the data source.
在下面一节中您将学习设计和实现数据访问对象的技术。
In the sections that follow you'll learn techniques for designing and implementing data access objects.
随后我们将注释这个类，但首先我们讲解一下数据访问。
We will get to the annotations on this class shortly, but let me first explain the data access.
服务器处理所有的数据访问，执行数据操作并输出结果。
Their servers handle access to any data sources, perform the data manipulations, and then output the results.
数据可以从数据源加载(使用数据访问服务)或动态创建。
The data may be loaded from a data source (using a data Access Service) or created dynamically.
没有拥有相同的数据访问权限会导致测试周期延长。
Not having the same access to the data causes a longer test cycle.
该实现包含封装所有用于数据访问和操纵的sql语句的方法。
The implementation contains methods encapsulating all required SQL statements for data access and manipulation.
此模式鼓励您分层（表示层、域层、数据访问层）处理应用程序。
This pattern encourages you to treat an application in layers -- presentation, domain, data access.
数据整合模式将数据集成任务从数据访问任务中分离出来。
The data consolidation pattern decouples the data-integration task from the data-access task.
核心思路是把所有安全决策集中在网关，防止不希望出现的数据访问。
The core concept is to centralize all security decisions in the gateway and prevent unwanted data access.
在设计的这个阶段，就需要较为详细地考虑数据访问需求和性能因素。
It is at this stage of design that data access requirements and performance factors need to be considered in some detail.
用于定义数据访问和聚集的逻辑和元数据可以在不同的项目之间重用。
Logic and metadata used to define data access and aggregation can be reused across different projects.
在本文中，您将了解使用模拟数据访问对象(SDAO)进行分层测试。
In this article, you'll learn about layered testing with simulated data access objects (SDAOs).
在本文中，您将了解使用模拟数据访问对象(SDAO)进行分层测试。
In this article, you'll learn about layered testing with simulated data access objects (SDAOs).
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