数据库索引对于查询性能来说十分关键。
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.
在出口我不出口源数据库索引。
正如上面所提到的那样，数据库索引对性能来说十分关键。
As mentioned before, a database index is critical to performance.
这种检查要求在CM中配置CSCDISIS属性的一个数据库索引。
This check requires that a database index for the attribute CSCDISIS is configured in CM.
数据集的划分策略是影响高维数据库索引性能的一个关键因素。
The splitting strategy for high dimensional data set is important for the performance of the indexing of high-dimensional database.
近年来，针对空间数据库索引的研究引起了人们越来越多的兴趣和关注。
In recent years, the research on spatial indexing is arousing more and more interests and attentions.
因此，需要有规律地运行runstats并重新绑定数据库，以确保数据库索引不会过期。
Therefore, running runstats and rebinding the database need to be done regularly to ensure that database indexes are not out of date.
在多数情况下，BPM产品的数据存储没有以以下方式定义：有可能使用的所有数据库索引都已经定义。
In most cases the BPM product's datastore has not been defined in such a way that all the database indexes that might potentially be used have been defined.
融合了数据库索引思想的新方法，不仅减小了存储文件的大小，而且大大提高了查询的效率。
The new method, including the index theory of database, not only decreases the size of data store file, but also improves the efficiency of data query.
本文介绍了消防监控系统中内存数据库索引的设计方法，并对比了两种方法下的系统运行效率。
This paper has introduced the design methodology of main memory, database index in fire monitoring system, and compared the system running efficiency in these two situations.
当一个LINQ表达式直接访问数据库时，DLINQ Provider支持所有数据库索引。
When a LINQ expression directly targets a database, the DLINQ provider has full access to the database's indexes.
在综述现有空间数据库索引技术的基础上，提出了一种面向大型空间数据库的QR-树索引方法。
This paper classify a series of methods on spatial database index, and introduce the QR-tree index structure with very large spatial database.
首先采取随意安排的策略将数据库索引文件放到SSD存储上，但是这样做只获得不多的性能提升(不超过2倍)。
We started with a blind placement strategy of putting the database index files on SSD storage, but that generated only a modest improvement (less than 2x).
现有的数据库索引技术，普遍不能适应多维空间属性的搜索，特别是无法对大容量的多媒体数据进行基于内容的检索。
The existing indexing technology of databases doesn t adapt to the retrieval of multi-dimensional space, especially the content-based retrieval on large multimedia database.
如果用户被允许搜索已归档的邮件，那么也应该为字段CSLDOrigDB和主要的搜索标准(如subject属性)配置数据库索引。
If users are allowed to search their archived mail, the fields CSLDOrigDB and main search criteria (like the Subject attribute) should also have a database index configured.
通过对多维链表的研究，提出一种全新的、基于多维链表的、可以同时在多个属性上建立高效数据库索引的方法，并对这种索引方法的主要问题进行了比较详细的讨论。
By the research of database index, A new and efficient database index built by multi-dimension linked lists is given out , and also main problems of the database index are discussed there.
所有数据库表和索引都放在内存中，而且永远不会保存到磁盘上。
All database tables and indexes are kept in memory and never saved to disk.
为了优化数据库，您可以添加索引。
数据库服务器使用索引来查找匹配的值。
WHERE子句中的字段决定了数据库将选择的索引。
The columns in the WHERE clause decide what index the database will select.
首先，数据库可以建立各种索引提高操作的速度。
First, the database can do all sorts of indexing tricks to operate quickly.
请考虑有多行的数据库表的索引的使用。
Consider the use of indices on database tables that have many rows.
现在，该视图在sql级注入过滤谓词，DB 2可以利用通常的数据库技术，即索引访问。
Now that the view injects the filter predicate at the SQL level, DB2 can take advantage of the usual database techniques, that is index access.
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.
包含了数据库字段和和索引的描述。
which contains descriptions of the database fields and indices.
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.
强制更新数据库/索引可使用$sudoupdatedb命令，这也花不了多少时间。
forcing locate to update the database/index is done with $ sudo updatedb, and it doesn’t take a lot of time
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.
当一个文档进入系统时，它存储在文件服务器上并在DB 2数据库中编制索引。
When a document enters the system, it is stored in the file server and indexed in the DB2 database.
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