根据需要提高执行组(DataFlowEngine)数据分段大小(仅限于AIX)。
Increase the execution group (DataFlowEngine) data segment size (only AIX) as needed.
区段确定如何跨越多个容器进行数据分段，并确保一个容器里的数据页面是连续的。
Extents determine how data is striped across multiple containers and ensure that the data pages in a container are contiguous.
分段的最终目标就是通过直接访问来包含满足SQL查询的数据分段表，减少检索时间。
The ultimate goal of fragmentation is to reduce the retrieval time by directly accessing the fragment that contains the data that satisfies the SQL query.
通过将分组数据分段成预定长度的单元而产生基本单元，并产生用于每个基本单元的基本单元信息。
A basic unit is generated by segmenting packet data into units of a predetermined size and generates basic unit information for each basic unit.
给出分布式空间数据库的空间数据划分原则、分布式空间数据分段的类型和空间数据关系的分段操作方法。
Then, the principles, types and methods of data partition are given in the context of the distributed spatial databases.
在获取数据之后，安装一个允许你分段和比较在一个周期内发现的系统。
After obtaining this data, setup a system which allows you to segment and compare your findings over a period of time.
利用大数据，组织可以创建更窄的细分段、更精确地精简服务来满足顾客的需求。
Big data allow organizations to create ever-narrower segmentations and to tailor services precisely to meet customer needs.
分段大小指的是在移到该阵列里的下一驱动器之前写入一个驱动器的数据总量。
Striping size refers to the amount of data written to one drive before moving to the next drive within the array.
分段数据管理使组织能够更好的控制信息流和信息的生命周期。
The staged data governance gives organizations greater control over the flow and life cycle of information.
我们还会在分段数据交给下游系统处理前将其更新为处理中状态。
We also update the chunk data to an In-process status before handing over to the downstream system.
分段和PD Q优先级也对于数据的检索速度有极大的影响，并有助于表扫描。
Fragmentation and PDQ priority also have a huge effect on the speed of data retrieval and will help table scans.
否则，数据会通过驱动器缓冲被分段。
我们有一个后台任务，分段加载大量的IsoDeal数据用于后续处理。
We have a background job to load a large amount of IsoDeal data by chunks for downstream processing.
在提供输入数据时(进入Hadoop文件系统[hdfs])，首先分段，然后分配给map工作线程(通过作业跟踪器)。
When input data is provided (into the Hadoop file system [HDFS]), it is first partitioned, and then distributed to map workers (via the job tracker).
分段0：aix内核数据(用户程序不能直接访问)。
Segment 0: AIX kernel data (not directly accessible by a user program).
分段表(在多分区数据库环境中装载实用程序不支持这种表)。
Staging tables (not supported by the load utility in multiple partition database environments).
所以，如果您要在给定时间范围内清理数百万个地址，可通过支持您对数据进行分段的方式来应用规则。
So if you are cleansing millions of addresses within given time bounds, rules can be applied in such a way that lets you segment the data.
还可以通过在多个数据服务器上分段数据进行并行访问来增强性能。
Performance can also be enhanced by striping the data over multiple data servers for parallel access.
例如，按照事务日期列分段的销售表，每个月都将添加新的行来存储当月的销售数据。
For example, a sales table fragmented by transaction date column such that new rows are added each month to store current month sales data.
并且可以使用方括号操作符以相同的方式访问所有数据项，它支持将不同类型的有序数据项分段。
And you access all the items in the same way using the square bracket operator, which supports slicing different types of sequential items.
使用分区的固件可以进一步对块进行独特的分段—例如，一个块中有512字节的分段，但不包括元数据。
Firmware that USES the partitions can further apply unique segmenting to the blocks-for example, 512-byte segments within a block, not including metadata.
术语分段 是指从序列中对数据项进行分段的方法。
The term slicing refers to the way in which you are slicing items from the sequence.
事件表存储数据库触发器在分段表中生成的异步事件。
An event table stores the asynchronous events generated by the database triggers in a staging table.
另外，小于FRF . 12分段大小的数据包不会进行分段，从而降低CPU的利用率。
In addition, packets smaller than an FRF.12 fragmentation size are no longer sent through the fragmenting process, reducing CPU utilization.
当一段数据或内容元素需要在网站上发布之前被翻译，则首先需要将其传给分段服务器。
When a piece of data or content element needs to be translated before it can be published on the site, it is populated to the staging server first.
元数据服务器将文件名转变为索引节点，文件大小，和Ceph客户端用于文件I/O的分段数据（布局）。
The metadata server transforms the file name into an inode, file size, and striping data (layout) that the Ceph client uses for file I/O.
其余的示例显示了如何使用Python的分段功能从序列中一次选择多个数据项。
The rest of the examples show how to select multiple items from the sequence at once using Python's slicing functionality.
因此，t[2：7]将tuple中的第三到第七个数据项分段，而t[2：7：2]则对每两个数据项进行分段，从tuple中的第三个数据项开始一直到第七个数据项。
So, t [2:7] slices the third through the seventh items from the tuple, while t [2:7:2] slices every other item, starting with the third item and continuing through the seventh item from the tuple.
基于多项式分段拟合的舰船观测方位数据处理方法，对观测方位序列进行分段处理。
The data processing method of warship observation orientation based on polynomial segment fitting, and the sequences of observation orientation were processed in segment.
研究的对象是基于激光三角测量法获得的船体分段面三维数据。
The research aims at a data of the ship body that acquired according to the triangle diagraph method of laser.
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