片语

Persistent data structureIn computing, a persistent data structure is a data structure that always preserves the previous version of itself when it is modified. Such data structures are effectively immutable, as their operations do not (visibly) update the structure in-place, but instead always yield a new updated structure.

Persistent Data Hibernate数据持久化Hibernate

fully persistent data structure全持续数据结构

persistent data services持久性数据服务

persistent t data持久性数据

partially persistent data structure部分持续数据结构

Manipulating Persistent Data操作持久化数据

Persistent Data in Components组件的持久数据

confluently persistent data structure汇合持续数据结构

英汉例句

• Execution of an operation will typically cause one or more persistent data records to be read, written, or modified.

  执行操作通常会导致读、写或修改一个或多个持久性数据。

• Service providers also often need access to persistent data for use in their implementation designs.

  服务提供者通常也需要访问持久的数据，用于它们的执行设计。

• All J2EE persistence technologies provide some mechanism to map business data objects back to a persistent data source.

  所有的J2EE持久化技术都提供了一些机制来将业务数据对象映射回持久性数据源。

• Once persistent data is introduced into the picture, other issues related to the management of that persistent data become very important, issues such as the following.

  一旦持久性数据传入图中，与管理持久性数据有关的其他问题就变得非常重要，包括下面这些问题。

• Lack of any persistent data makes high availability non-critical for these machines.

  由于没有任何持久数据，因而对这些机器来说高可用性并不重要。

• In some cases the only persistent data to be stored is the application user preferences.

  在某些情况下，被存储的持久数据仅仅是应用程序用户的首选项信息。

• Among the few examples of fully persistent data implementations are journaling file systems, VMS file systems (like VAX and Mac OS x), and concurrent versioning systems (CVS).

  完全持久数据实现的少数几个示例有：日志记录文件系统、VMS文件系统(如vax和MacOSX)以及并发版本控制系统(CVS)。

• Visual Dashboard is a type of visual project that presents interactive or persistent data to a wide range of users.

  VisualDashboard是一种可视化项目，可以为广泛的用户显示交互式或持久性数据。

• Fully persistent data is a persistent data structure that both maintains and allows updates to all versions of its data.

  完全持久数据是一种维护其数据的所有版本并允许对这些版本更新的持久数据结构。

• The speed and size of the persistent data store.

  持久性数据存储的速度和大小。

• The simplest way to access persistent data is by using the find method. Here is an example of an application using the entity manager to find an object by its primary key.

  最简单的访问持久性数据的方法是使用find方法。

• Structural sharing is the technique used to make Clojure「s persistent data structures efficient.

  结构共享这种技术使Clojure的持久数据结构更加高效。

• Size range of player-related data: This refers to the amount of persistent data a player will generate during play time.

  与玩家相关的数据的大小范围：这是指一个玩家在玩游戏期间将生成的持久数据量。

• This is how PIM differs from RMS while both are responsible for storing persistent data on the device.

  以下是PIM和RMS的区别，尽管二者都负责在设备上存储持久数据。

• The application developer can focus on business logic and let the service handle the implementation details of updating a persistent data store.

  应用程序开发人员能够专注于业务逻辑，而让服务去处理更新持久数据存储的实现细节。

• Partially persistent data is a persistent data structure that allows updates to the latest version only.

  部分持久数据是一种仅允许对最新版本更新的持久数据结构。

• The data cleansing pattern specifies a recommended practice for how to improve the data quality of persistent data either at entry or later.

  数据清理模式指定有关如何在输入时或稍后提高持久性数据的数据质量的建议性实践。

• While many good tools for dealing with persistent data are available, they all involve a lot more work than simply manipulating an in-memory data structure.

  虽然有许多处理数据持久性的好工具，但是它们需要的工作都比简单操纵内存中数据结构要多得多。

• In our next installment, we」ll begin a two-part exploration of persistent data management, starting with a comparison of entity beans and JDBC.

  在下一部分中，我们将开始有关持久数据管理的两部分探讨，首先将比较实体bean和JDBC。

• In the sample application, the file system is used as the persistent data store.

  在样例应用程序中，文件系统用作持久性数据存储。

• Clojure's persistent data structures.

  Clojure的持久数据结构。