Don't log large data objects (CLOBs, DBCLOBs, and BLOBs) unless necessary.
如果没有必要，不要记录大数据对象(CLOB、DBCLOB和BLOB)。
Queries executed with a NoTracking merge option work well for streaming large data objects or when changes and relationships do not need to be tracked.
如果不需要跟踪数据的变更与数据的关系，或者对大数据对象进行流操作，那么通过NoTracking合并项执行查询，效果会更佳。
You also learned how to retrieve data from a database, along with more advanced topics including calling stored procedures and manipulating Large data Objects (LOBs and BLOBs).
还学习了如何从数据库中检索数据，并介绍了一些高级主题，包括调用存储过程和操作大数据对象(LOB和BLOB)。
In many cases, storing large objects in the session can be circumvented by just storing a key in the session and using this key as a reference to lookup a larger object in some other data structure.
在很多情况下，通过仅在会话中存储一个键，并使用该键作为引用以在其他数据结构中查找更大的对象，从而可以避免在会话中存储大对象。
Each row in the table identifies a data structure with a potential container object that has a large number of child objects.
表中的每行标识了一个数据结构，它们都带有一个包含大量子对象的潜在容器对象。
These operations can include sending a query to retrieve results, updating remote data, supporting transactions, manipulating large objects, binding input values, and more.
这些操作可以包括发送一条查询来获取结果，更新远程数据，支持事务，操纵大型对象，绑定输入值，等等。
A table space is a storage structure containing tables, indexes, large objects, and long data.
表空间是一个包含表、索引、大对象和长数据的存储结构。
Smart large objects consist of character large object (CLOB) and binary large object (BLOB) data types.
智能大对象包括字符大对象(CLOB)和二进制大对象(BLOB)数据类型。
In multimedia applications, much of the data is stored as large objects (LOBs), which tend not to be logged.
在多媒体应用程序中，大部分数据都储存为大对象(LOB)，这些LOB数据一般不需要进行日志记录。
In addition to a typically recorded transaction, many innocuous objects, such as parking lots, buildings, and street corners, are instrumented and record large volumes of data around the clock.
除了通常记录的交易之外，许多不活动的事物也被全天不间断地记录下来，比如停车场、建筑物和街道角落，这样数据量就会变得非常大。
Text indexes can be created on a range of data types from small VARCHARs to large BLOBs that contain text objects.
文本索引可以在广泛范围的数据类型中创建，包括小型的VARCHAR和大型的BLOB等包含文本对象的数据类型。
DB2 9.7 compresses more than just row data; it can also compress indexes, log files, temporary tables, inline XML data, and large objects.
DB 2 9.7不仅压缩行数据；它还可以压缩索引、日志文件、临时表、内联xML数据和大对象。
It is not intended for migrating large Numbers of objects, or for large amounts of data.
它不旨在迁移大量对象或大量数据。
Large binary objects data such as large text and internal graphics;
二进制对象数据，如大型文本和内部图形；
BI solutions based on DataQuant can handle large as well as small data reporting needs and interfaces and objects can be customized and personalized by the users.
BI解决方案基于DataQuant，可以同时满足大型和小型数据报告需求，并且用户可以对界面和对象进行定制和个性化。
It can also hold long data, such as large objects (LOBs), unless they are explicitly stored in long table Spaces.
它还可以保存诸如大对象(Large Object,lob)之类的长数据，除非这些数据显式地存储在长表空间中。
A large table space named USERSPACE1, which is used to store all user-defined objects along with table data, index data, large object (LOB) data, and long value data.
一个名为userspace1的大表空间，用于存储所有用户定义对象，以及表数据、索引数据、大对象(LOB)数据和长值数据。
For large objects and long field data, DB2 escalates Intent None (IN) locks to Share (S) locks and therefore is approximately 10% slower.
对于大型对象和long字段数据，DB2 将IntentNone (IN)锁升级为Share (S) 锁，因而要慢大约 10%。
Smart LOBs consist of character large objects (CLOBs) and binary large objects (BLOBs) data types.
智能大对象由字符大对象(CLOBs)和二进制大对象(BLOBs)数据类型组成。
Minimize the data stored on the application object (and hence the session) by storing large objects or frequently referenced values in WebSphere Dynamic Cache maps.
通过将大对象或频繁引用的值存储到WebSphereDynamicCache 映射中，最小化应用程序对象（以及会话）中所存储的数据。
Efficient storage of binary data large objects (e.g. photos and videos).
对二进制大数据对象(例如照片和视频)的有效存储。
This type of analysis USES a heuristic process to identify suspected data structures that have a container object with a large number of children objects.
这一分析类型使用启发式进程来确定受怀疑的数据结构，这些数据结构拥有一个带有大量子对象的容器对象。
In principle, creating such code is not particularly difficult, but can be somewhat tedious and error prone to write, especially if the data object is large and contains nested objects and arrays.
原则上，创建此类代码不是特别困难，但可能让人感到有些枯燥无味，而且在编写时也容易出错，特别是在数据对象比较大并包含嵌入的对象和数组时。
After the objects are scanned the large number's original point cloud data of a great density will generate, and in which noise are randomly distributing.
物体经过扫描后，得到的大量原始点云数据一般密度很大，且其中随机分布着噪声数据。
Due to its large amount of spatial data and highly complex spatial objects and spatial queries, the study of spatial queries become focus of spatial database research.
由于其庞大的空间数据量以及空间物标、空间查询的高度复杂性，空间查询成为空间数据库应用的难点和研究热点。
Due to its large amount of spatial data and highly complex spatial objects and spatial queries, the study of spatial queries become focus of spatial database research.
由于其庞大的空间数据量以及空间物标、空间查询的高度复杂性，空间查询成为空间数据库应用的难点和研究热点。
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