• The cause and features of very large database are analyzed.

    分析了海量数据库产生的原因和特点。

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  • If you want to manage changes to a very large database, you might want to divide the objects between several database projects.

    如果您要管理一个非常大的资料库之变更,可能要分隔几个资料库专案之间的物件。

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  • Your 592-page cookbook wouldn't make for a very large database table-almost certainly small enough to fit on a 32 MB USB memory stick.

    如果把592页的烹调书保存在数据库中,它算不上非常大的数据库表;实际上相当小,用一个32MBu盘就能够保存它。

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  • As the volume of image database grows, it is urged to work over high effective index technique to support fast similarity search in very large databases.

    图像数据库容量的增长,迫切需要研究高效的索引技术来支持快速相似性检索的要求。

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  • For instance, suppose each test in the class USES a database connection, a network connection, a very large data structure, or some other resource that's expensive to initialize or dispose of.

    例如,假设类中的每个测试都使用一个数据库连接、一个网络连接、一个非常大的数据结构,或者还有一些对于初始化和事情安排来说比较昂贵的其他资源。

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  • Since the messaging engine is processing messages as they arrive (or quickly thereafter), the database doesn't grow very large, and as a result doesn't require maintenance.

    由于消息引擎在消息到达时(或紧随其后)处理消息,数据库不会增长得非常大,因此不需要维护。

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  • Full-time DB2 DBAs (Database Administrators) tend to manage very large multi-terabyte DB2 systems or many DB2 servers across a large organization.

    DB 2DBA(数据库管理员)往往要管理非常大的DB 2系统或者分散在大型组织中的许多DB 2服务器。

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  • For example, imagine that you have an application that must iterate through a very large number of rows in a database.

    例如,假设您有一个应用程序,它必须遍历数据库中大量行。

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  • The database deployments typically aren't very large in terms of data or challenging in terms of performance.

    一般来说只在数据量不是非常大或性能压力不大的情况下才部署NoSQL数据库。

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  • But if your relational databases contain millions of records, you could have a very large and potentially very slow Notes database.

    但是如果关系数据库包含数百万条记录,相应的Notes数据库就可能变得非常大并且可能会非常慢。

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  • Citysearch, through this, gains access to a very large number of potential new users, while MySpace gains access to a large, pre-populated database of reviews.

    Citysearch在这次合作中,赢得了一个潜在用户的庞大新市场,而MySpace获得了一个现成的庞大评论数据库。

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  • As you can imagine, this could become a very expensive operation if the database is large.

    正如您想象的那样,如果数据库比较大的话,这可能是一项成本高昂的操作。

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  • Poor database performance, as the database performed hundreds of updates to the (very) large session objects in database tables.

    糟糕的数据库性能,因为数据库对数据库表中的该(超)大会话对象执行了数百次更新。

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  • A partitioned database can maintain very large amounts of data and can open opportunities for new applications.

    分区数据库可以维护大量数据,并可以为新的应用程序提供机会。

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  • When you run queries for very large audit log tables, you can end up with a situation where your database system has to read thousands of pages into the bufferpool to compute the result.

    当您在大型审核日志表格中运行查询功能时,您可能会在您的数据库系统不得不向缓冲池读入数千页面以进行计算时而结束。

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  • Therefore, there is no need to worry about how large the production database will be — it will fit very well on the disk array that will be needed for performance.

    因此,不必担忧生产数据库将会有多大—为获得高性能而所需的磁盘阵列能够很好地容纳它。

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  • The key to providing better matches lies in the ability of the TM engine to break every segment into very small pieces and store them as a large collection of fragments in a database.

    要提供更好的匹配,关键在于TM引擎将每段分解成很小的切片,将其在数据库中保存为很大的片段集合。

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  • The project would allow a large location-specific database to be built very quickly.

    该项目可以快速的收集特定地点的信息和建立数据库。

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  • Database storage areas are useful when the size of your object store is not very large in terms of number of documents and the sizes of those documents.

    当objectstore相对于文档数量和文档大小来说不是很大时,数据库存储区域比较有用。

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  • However, when dealing with very large data sets, you can further improve the query response times of a native XML database by following a few general common sense guidelines.

    但是,在处理超大型数据集时,您还可以通过遵循以下一般原则进一步改善原生xml数据库的查询响应时间。

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  • This can be very important for large databases that contain may polygons, most of which will not be in the field-of-view at any one time such as a terrain database.

    包含着很多多边形,但是这些多边形大多永远被排除在视野以外,对于一个大型数据库,就像地形数据库来说是很重要的。

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  • Discovering association rules between items in a large database is an important data mining problem as the number of association rule is usually very larger.

    在大型数据库项目之间发现关联规则是一个重要的数据挖掘问题,而挖掘出的关联规则数目常常是巨大的。

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  • Although large amounts of irrelevant patterns can be removed by setting a threshold as the pattern importance degree, final results are still very great when a huge database is faced.

    虽然可以通过设置模式的属性阈值消除大量无关模式,但当面对一个大的数据库时,数据挖掘的最终结果依然很大。

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  • Although large amounts of irrelevant patterns can be removed by setting a threshold as the pattern importance degree, the final results are still very great when a huge database is faced.

    虽然在数据挖掘的算法中通过设置模式的重要性阚值可以消除大量无关模式,但当面对一个大的数据库时,数据挖掘的最终结果依然很大。

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  • Discovering association rules between items in a large database is an important data mining problem. The number of association rules is usually very large.

    在大型数据库项目之间发现关联规则是一个重要的数据挖掘问题,而挖掘出的关联规则数目常常是巨大的。

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  • All proposed methods must examine not only the changed part but also the unchanged part in the original database, which is very large, and hence take much time.

    所有这些方法不仅要对原始数据库中改变的部分扫描,同时也要扫描对未改变的部分,工作量很大,要花费很多时间。

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  • Arbitrary combinations of these operators on the files making up a database can answer a very large number of queries without requiring users to go into one record at a time processing.

    组成数据库文件的算子的随机组合在不要求用户一次只能访问一条纪录的情况下应答大量的查询。

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  • Arbitrary combinations of these operators on the files making up a database can answer a very large number of queries without requiring users to go into one record at a time processing.

    组成数据库文件的算子的随机组合在不要求用户一次只能访问一条纪录的情况下应答大量的查询。

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