第2部分主要讨论数据库的角色。
我们使用一个支持7个视图的讨论数据库。
到这个学期的期末，我们会讨论数据库的设计。
Toward the end of the semester, we'll talk about database design.
我们使用它来显示讨论数据库中的类别，如图4所示。
We may use this to display the categories in a discussion database as shown in figure 4.
例如，讨论数据库中的基本数据元素是个人使用文档形式发表的帖子。
For example, the basic data element in a discussion database is an individual's contribution in the form of a document.
比如说，我不赞同在架设数据库之前就讨论数据库的进化问题。
So I would disagree with the idea that you don't put your database in before you evolve your need for a database.
此外，可以在标记云中选择类别，并将这个信息传回到讨论数据库组件视图中。
Additionally, categories can be selected in the tag cloud and that focus passed back to the discussion database component view.
讨论数据库包含 113,000篇文档和23 个类别，并支持全文索引。
The discussion database contains 113,000 documents and 23 categories and has full text index enabled.
以一个讨论数据库为例，假设它有10,000个主题和100,000个响应文档。
Let's take for example a discussion database with 10,000 main topics and 100,000 response documents.
截至到 200 个并发用户，经典和XPages讨论数据库的处理器利用率都一样。
The processor utilizations were was about the same between the classic and the XPages discussion data bases until 200 users.
讨论数据库的大小也由于XPages支持的新特性和新讨论数据库模板而增加了。
The size of the discussion database increased because of the new features and the new discussion database template supported by XPages.
最后，讨论数据库对计算结果的影响，并分析了计算结果和实验值之间的误差来源。
At last, the influence of database on calculation results and the sources of errors between results and experimental values were discussed.
本文着重讨论数据库条件下进行要素重叠自动识别的方法及其在编图实践中的应用。
In this paper, the methods of detecting the interferences based on map database are discussed and the examples are given.
例如，图4显示了一个复合应用程序，它带有一个讨论数据库Notes组件视图和一个标记云。
For example, figure 4 shows a composite application with a discussion database Notes component view and a tag cloud.
方法如下：假设您有一个讨论数据库，其中包含10,000个主题和100,000个响应文档。
Here's how: Suppose you have a discussion database with 10,000 main topics and 100,000 response documents.
经典讨论数据库显示，在支持200个用户且响应时间小于一秒的情况下，经典讨论数据库IOP更少。
The classic discussion database showed fewer IOPs for the 200 users supported with response times less than one second.
使用一个LotusDominoserver8.5.2来测试和比较经典和XPages讨论数据库的性能。
From Lotus Domino 8.5.2. A single Lotus Domino server 8.5.2 was used to test and compare the performance of the classic and the XPages discussion databases.
图4显示的是，用户响应时间小于三秒情况下，LotusDomino8.5.2上的经典讨论数据库和XPages讨论数据库。
Figure 4 shows the classic discussion database and the XPages discussion database on Lotus Domino 8.5.2 with user response times of less than three seconds.
而LotusDomino8.5.2上的新改进的XPages讨论数据库的并发用户数和每秒总页数可比经典讨论数据库多三倍。
The new and improved XPages discussion database on Lotus Domino 8.5.2 scaled to three times more concurrent users and total pages per second than the classic discussion database.
XPages讨论数据库，连同LotusDomino 8.5.2 的模板discussion8.ntf，大小是 700MB。
ntf from Lotus Domino 7.0, and the XPages discussion database was 700 MB with template discussion8.ntf
图1 - 4显示了LotusDomino8.5.2上的经典讨论数据库，及Lotus Domino 8.5.2上的XPages讨论数据库。
Figures 1-4 show the classic discussion database on Lotus Domino 8.5.2 and the XPages discussion database on the Lotus Domino 8.5.2.
让我们为了讨论假定我们设法构建了一个令人满意的数据库。
Let's assume for the sake of argument that we manage to build a satisfactory database.
至此，我们已经讨论了实例共享内存、数据库共享内存和应用程序组共享内存以及代理私有内存。
So far we have discussed the instance Shared memory, the database Shared memory, the application group Shared memory and the agent private memory.
最后一节讨论如何在数据库级应用过滤谓词，以提高查询性能和缩短响应时间。
The last section discussed how to apply filter predicates at the database level to improve query performance and response times.
例如，它讨论逻辑和物理数据库设计。
For example, it discusses logical and physical database design.
本文还列出了其他领域的一些常用技巧，比如性能，但是不会详细讨论这些主题领域的数据库分析和设计问题。
The article also highlights some common tips in other areas, such as performance, without going into an extensive discussion of database analysis and design issues for these topic areas.
为了体现上述讨论的设置，我们对数据库和架构参数进行了以下更改，如图10 所示。
To reflect the settings discussed above, we have made the following changes to the database and schemas parameters, as shown in Figure 10.
本文着重讨论了数据库设计的两个比较大的问题，而没有深入研究查询优化和应用程序考虑事项的细节。
The discussion focused on a couple of big issues of database design without getting into the details of query optimization and application considerations.
本教程讨论用于比较IBMDB 2数据库中的数据的查询。
This tutorial discusses queries that compare data in an IBM DB2 database.
本教程讨论用于比较IBMDB 2数据库中的数据的查询。
This tutorial discusses queries that compare data in an IBM DB2 database.
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