• As shown in Figure 1, building a full-featured search application using Lucene primarily involves indexing data, searching data, and displaying search results.

    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。

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  • A new program design method for searching data at free table and free search conditions of the database management system in VFP is proposed in this paper?

    一种在VFP数据库管理系统中实现自由选表、自由组合条件检索数据的程序设计方法。

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  • 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.

    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。

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  • Searching this data structure for query results will be performed in the main program logic.

    在主程序逻辑中执行数据结构搜索以获得查询结果。

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  • Searching and sorting through this data is difficult, as is maintaining the consistency of data across users and locations.

    通过该数据进行搜索和排序是困难的,因为是维护跨用户和位置的数据一致性。

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  • The processing, searching, and displaying of data is a simple process compared to the free text or structured document searches.

    与自由文本或结构化文档搜索比较而言,处理、搜索和显示数据是一个简单的过程。

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  • One area that is ripe for parallelization is sorting and searching in large data sets.

    一个成熟的并行领域就是大数据集中的排序和搜索。

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  • An SQL database and the JDBC API provide an easy way of storing information and quickly searching previously stored data.

    SQL数据库和JDBCAPI提供了一种轻松的方法用于存储信息和快速搜索先前存储的数据。

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  • When viewing and searching both active and archived data, it is inconvenient to have to first restore the archived files back into the system where the active data resides.

    当您同时查看或搜索活动数据和归档数据时,它就不太方便了,因为首先要将归档文件恢复到活动数据所在的系统。

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  • One of the most attractive candidates for doing so is aggregate data operations — sorting, searching, and summarizing.

    最有吸引力候选方案之一是聚合数据操作 —排序、搜索和汇总。

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  • At the top, you're either pumping data into your search application (indexing) or pulling data out of it (searching).

    在顶层,你既可以往你的搜索应用灌入数据(建立索引),也可以从它里面抽取数据(搜索)。

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  • New data types such as links, Numbers and dates, searching, custom help, limit checking, improved navigation, views and better rich text editing have been added.

    还添加了一些新的数据类型,例如链接、数字和日期、搜索、自定义帮助、限制检查、改进的导航、视图和更好的富文本编辑。

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  • Indexing is a process of converting text data into a format that facilitates rapid searching.

    编制索引是将文本数据转换为有利于快速搜索的格式。

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  • The same algorithms and free-form text searching described here will also work on customer databases and other small-scope data repositories.

    本文中介绍的算法和自由形式的文本搜索也可应用到客户数据库和其他小范围数据库。

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  • We now have a fully built vector space for searching that will return filenames containing the relevant LDAP data record where the query matches.

    我们现在已经完整地构建了搜索向量空间,这种搜索将返回包含匹配查询的相关LDAP数据记录的文件名。

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  • And doing so can offer you powerful capabilities for searching and integrating traditional SQL and XML data.

    这样做还可以为搜索和集成传统SQL和XML数据提供强大的能力。

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  • Along with much new functionality, DB2 9 introduces a feature that enables storing, searching, validating, and managing XML data.

    DB 29引入了支持存储、搜索、验证和管理XML数据的特性,还提供了许多新的功能。

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  • However, no matter how well an RDBMS supports text indexing and searching, that activity is still constrained to the scope of the data within the particular RDBMS itself.

    然而。不管rdbms支持文本索引和搜索功能如何优秀,该活动仍然受特定rdbms自身的数据范围的约束。

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  • This architecture aligns with W3C web standards for the semantic web, and allows much more flexible searching and data mining than would be possible with a MARC record.

    这个结构和W3C的语义网网络标准相吻合,而且相比MARC数据,它能够进行更加灵活的搜索和数据收割。

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  • Lexicographic searching can cause issues when looking for numbered data (including dates), but all is not lost.

    在查找编号数据(包括日期)时,字典式搜索会产生问题,但是还有弥补的余地。

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  • Obviously, taking XML-formatted data and dumping it into a database just to make searching easier is the wrong approach.

    显然,将xml格式的数据塞到数据库中以方便搜索的做法是行不通的。

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  • The Google Spreadsheets Data API, however, doesn't just support retrieving and searching spreadsheets.

    然而,GoogleSpreadsheetsDataAPI不仅仅支持检索和搜索电子表格。

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  • Of course, this is a very simple example, but the fork-join technique is suitable for a wide variety of searching, sorting, and data analysis problems.

    虽然这个示例非常简单,但是fork - join技术可用于各种各样的搜索、排序和数据分析问题。

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  • Analysis is converting the text data into a fundamental unit of searching, which is called as term.

    分析是将文本数据转换为搜索基本单位(称为项(term))的过程。

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  • Now let's look at a couple of examples that demonstrate searching for data stored in ApacheDS.

    现在来看两个示例,它们将演示在 ApacheDS 中进行的数据搜索。

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  • The design of UDDI allows simple forms of searching and allows trading partners to publish data about themselves and their advertised web services to voluntarily provide categorization data.

    UDDI的设计允许简单的搜索格式,并允许交易伙伴发布关于自身及其宣传的Web服务的数据以自动提供分类数据。

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  • xml-content mapping allows to store the xml structure as is within the search engine so it can be used when loading/searching the data.

    XML内容映射可以在搜索引擎中存储为XML结构,这样就可以加载和搜索数据。

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  • Google Calendar and the Google data API do not support searching by individual elements.

    GoogleCalendar和Google数据API不支持按个别元素搜索。

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  • A healthcare professional's work pattern is not reflected in either the system design or data model - people spent considerable time searching and data reentry.

    系统设计和数据模型都没有反映医务人员的工作模式-人们把相当多的时间花费在查找数据和重新录入数据上。

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  • Data retrieval characteristics including reference data, read-only data, read groups, read size, searching criteria, and data grouping and aggregation.

    数据获取特性包括引用数据(referencedata)、只读数据、读分组(read group)、读取大小、搜索条件以及数据分组和聚合。

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