树是常用的空间数据索引结构。
The R-tree is a commonly used index structure of spatial data.
渗透制冷剂数据索引，依据压力和质量。
Saturated refrigerant data is indexed according to pressure and quality.
这确保了数据索引，包括时间和深度，之间的一致性。
This ensures uniformity between the data indices, both time-and depth-based.
因为我使用空间信息，我想尝试一些更适合空间数据索引结构。
Because I use spatial information, I would like to try some index structures which are more suitable for spatial data.
应用程序模块化，所以需要便于模块注册数据索引和搜索模块。
The application is modular so it needs to be easy for modules to register data to index with the search module.
引入SDE空间数据索引技术，通过改善空间索引的性能来优化空间数据库。
Optimize the spatial database by improving space data index performance based on SDE.
在大规模多媒体数据库中进行基于内容的检索，高维数据索引结构的研究是重要问题。
The study of high dimensional data index method is the key problem of content based search in large scale multimedia databases.
Pylesystem：类似于Spotlight或Beagle的实时文件系统元数据索引程序。
Pylesystem: a realtime filesystem metadata indexer similar to Spotlight or beagle.
需要对跟踪重复的元素(如Statement和Item)进行一些工作，因此使用了数据索引。
Some work is required to keep track of the repeating elements such as Statement and Item, so array indices are used.
通过使用组合了内容和元数据的原始xml模式，可以简化总体解决方案，从而实现数据索引和存储。
The overall solution is simplified by using the original XML schema, which combines both content and metadata, for both indexing and storage of the data.
这种增长是由于程序服务器上所发生的数据索引和搜索操作；因为，随着资源数量的增长，响应时间就会受到影响。
This increase is due to the fact that data indexing and searching occurs on the application server; therefore, it is affected as the number of resources increases.
实验结果表明，本文防哪个法可以有效的进行增量式数据索引，并交好的保持了数据对象间的距离信息。
Our experimental results show our method can effectively perform incremental data indexing, and can keep well the distance information between data objects.
低层视觉特征提取、高维数据索引机制和相关反馈方法是面向大规模图像库基于内容检索的三个关键问题。
Visional feature extraction, high dimensional indexing mechanism and relevance feedback are three important issues in content-based image retrieval.
局部线性嵌入方法是一种应用广泛的流形学习方法，本文提出算法的一种改进，并将其应用于空间数据索引。
Locally linear embedding (LLE) is a widely-used manifold learning algorithm, in this paper we improve on the algorithm and put it to use in spatial data index.
目前空间数据相似性查询有着广泛的应用需求，解决相似性查询问题的一项关键技术就是高维空间数据索引。
Nowadays the applications of spatial data similarity search are widely needed, and high dimensional spatial data index becomes a key technology of similarity search.
如图1所示，使用Lucene构建功能全面的搜索应用程序主要涉及编制数据索引、搜索数据和显示搜索结果几个方面。
As shown in Figure 1, building a full-featured search application using Lucene primarily involves indexing data, searching data, and displaying search results.
用户仍可在主页（见下图）进行搜索或输入网页地址，但会靠前重点显示RSS（简易新闻聚合）和社交数据索引结果。
The home screen (see below) still lets users search and input web URLs but puts their RSS and social feeds front and center.
空间数据是GIS系统的主要数据组成部分，建立合理高效的空间数据索引对于GIS系统的性能有着极其显著的影响。
Spatial data is the main part of the GIS data system, constructing reasonable and efficient spatial indexing has an significant effect on the GIS system performance.
从DB2Version 9.7FixPack1 开始，在分区的表上创建的XML数据索引可以是分区的，也可以是不分区的。
Starting in DB2 Version 9.7 Fix Pack 1, you can create an index over XML data on a partitioned table as either partitioned or nonpartitioned.
本文的主要工作有以下几点：第一，PPDSS系统设计，引入了分布式架构，去掉中心节点，将元数据索引和数据存储的负载分发到每一台服务器上。
The major work of this thesis is showed below:First, PPDSS's architecture is designed. Metadata indexes and data loads are distributed among all servers to get rid of central node.
每个索引分区仅从相应的数据分区取得索引行。
Each index partition indexes rows only from the corresponding data partition.
它可以把属性与每条索引数据关联起来。
It can associate attributes with each piece of indexed data.
分离数据和索引引起了一致性和原子性问题。
Separating the data and indexes raised issues of consistency and atomicity.
表空间将物理容器分组，以容纳各个表的数据及其索引。
Table Spaces group physical containers to hold data of various tables and their indexes.
将数据、索引和日志散布在多个磁盘上，日志使用的磁盘应不同于其他东西使用的磁盘。
Spread data, indexes, and log over multiple disks, with the log on different disks from the others..
假设您有一个分区的数据库，这意味着它是一个数据库的一部分，它包含自己的数据、索引、配置文件和事务日志。
Say that you have a partitioned database, which means it is part of a database that contains its own data, indexes, configuration files, and transaction logs.
关系索引的数据类型始终由索引列的类型来确定。
The data type of relational indexes is always determined by the type of the indexed column.
要提高安全性，我们建议您在数据层安装索引数据服务。
To improve security, we recommend that you install the index data service in the data layer.
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