使多个源数据库可以使用相同的索引数据库。
Make it possible for several source databases to use the same index database.
介绍索引数据库的组织和索引过程的实现。
This paper introduces organization of index Database and the implement of index process.
具有更快的查找，伯克利db或索引数据库？
Which has faster lookups, Berkeley DB or indexed PostgreSQL?
并建立索引数据库在亲子表发挥任何重要的作用？
Does Database Indexing play any important role in Parent Child table?
索引数据库不需要任何设计元素；它只包含两种类型的文档。
The index database does not need any design elements; it simply contains two types of documents.
为数据库配置了路径后，必须使用来自DemoNAB的信息填充索引数据库。
After you have configured the paths to the databases, you must populate the index database with information from the Demo NAB.
初始化索引数据库和所有MKF数据库(包括永久、临时和安全数据库)。
Initialize the index database and all the MKF databases (includes permanent, transient, and security databases). Enter the following commands to initialize the databases.
开发一个服务器附件，自动将新的和修改了的文档从源数据库添加到索引数据库。
Develop a server add-on that automatically adds new and modified documents from the source database to the index database.
IBMDB 2数据库服务器(JRSXML索引数据库，在程序服务器上运行)。
IBM DB2 database server (JRSXML index database, runs on the application server).
至少目前我可以使用简单一些的xml_indexer . py脚本来创建xml节点索引数据库。
At least for now, I can create XML-node index databases using the simpler xml_indexer.py script.
在写作本文的时候，我只能通过将文档名作为命令行参数指定，每次将单个XML文档的那些节点添加到索引数据库中。
As of this writing, I can add just the nodes of a single XML document to an index database at a time, by specifying the document's name as a command-line argument.
这是因为我可以使用完全相同的索引搜索工具来搜索由xml_indexer和indexer所创建的索引数据库。
This is because I can use the very same index search tool for searching index databases created by both xml_indexer and indexer.
使用新文档更新索引数据库的代理目前速度很慢，且未进行优化，通过添加一对跟踪字段到索引文档中就可以解决这一问题。
The agent that updates the index database with new documents is currently rather slow and is not optimized, which can be fixed by adding a couple of tracking fields to the index documents.
文章主要介绍了基于XML可扩展标记语言搜索引擎技术实现的核心部分——索引数据库的建立和查询，并提出了现行网络环境下的XML搜索引擎模型。
In this paper, the core part of the realization of XML search engine, the query and creation of index database, is introduced, and a search model is given in the environment of current network.
作者索引和学科索引可在图书馆的数据库中找到。
Author and subject indexes are available on a library database.
如果您的服务是对一个具有良好索引的数据库的简单查询，花费少于100毫秒的时间，那么您将看到这两个选择之间巨大的差异。
If your services are doing simple inquiries into a well-indexed database that take less than 100 milliseconds, then you will see a big difference between the two choices.
此外，这些类型的sql语句对适当的索引和数据库设计最敏感，因此查看以下指示，获取实现最优性能的技巧。
Additionally, these kinds of SQL statements are the most sensitive to proper indexing and database design, so look to the following Pointers for tips for optimal performance.
从表空间快照数据中可以看出，这些用过的页面对象可用于告知索引、表和数据库的总大小。
From the table space snapshot data, the used page objects can be used to tell the total size of the index, tables, and the total database size.
您必须在用户数据库中为每一个多行文本域建立一个索引，在这个数据库中文本查询相当域一个筛选程序。
You must build an index for every multiline text field in the user database where a text query is used as a filter.
如果需要随机地搜索整个文档，那么使用索引式XML数据库。
If searching the entire document in random order is required, move to an indexed XML database.
最常见的内存中数据库索引策略是T -树。
The most common in-memory database index strategy is called T-tree.
它包括所使用的索引、从数据库表中检索字段的次数，以及执行查询的步骤的顺序。
It includes the indexes that are used, The Times at which fields are retrieved from the database tables, and the order of steps in which the query is executed.
它包括所使用的索引、从数据库表检索字段的时间和执行查询的步骤次序。
It includes the indexes that are used, The Times at which fields are retrieved from the database tables, and the order of the steps that execute the query.
如果数据大小较小，或者索引对于数据库查询的性能改善帮助不大，则不适合使用函数索引。
Indexes won't help much when the size of your data is small or when the majority of queries issued against your database would generally not benefit from an index.
数据库索引对于查询性能来说十分关键。
为了可以对一个表或索引收集统计信息，必须能够连接到包含该表和索引的数据库，并具有下列授权级别之一
To be able to collect statistics against a table or index, one must be able to connect to the database that contains the tables and indexes and have one of the following authorization levels
这能够帮助Design Advisor更好地估计创建新的索引能够对数据库性能有多大的改进。
This helps Design Advisor to better estimate how much database performance would be improved by creating new indexes.
在重组xml索引时，数据库管理员可以通过在REORGINDEXES命令中使用ALLOWWRITEaccess子句允许并发的写操作。
When reorganizing XML indexes, database administrators can use the allow write ACCESS clause in the reorg indexes command to allow concurrent writes on the table.
有了ForestofTrees索引，数据库架构师可以指定一个和多个引导列来创建一个hash键。
With a Forest of Trees index, the database architect can specify one or more of the leading columns to be used to create a hash key.
因此，整个数据列和相关的索引不是存储在数据库中。
Thus, whole columns of data and the associated indices are not stored in the database.
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