• When you call a function, what actually happens is that function gets its own chunk of memory that's identical in size to the data type that it expects.

    当你调用一个函数,实际上发生的是函数得到了自己的内存块,它的大小与它期望的数据类型相同。

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  • Size of data objects.

    数据对象的大小。

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  • However, you may not always find it easy to identify the data size.

    然而,您也许会发现,确定数据大小并不总是那么容易。

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  • Size of fundamental data types.

    基本数据类型的大小。

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  • Rather it is an overall system design consideration based on the anticipated raw data size of the entire database and capacity of the server hardware.

    实际上,它是整个系统设计上的考虑,需要根据整个数据库预期的原始数据大小和服务器硬件的能力来决定。

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  • Compress reduces the size of data being stored, thereby creating unused space in the partition.

    压缩减少所存储数据的大小,从而在分区中生成未使用的空间。

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  • In data warehouses, the size of fact tables or history tables poses challenges to designers and administrators.

    在数据仓库中,事实表或历史表的大小是摆在设计人员和管理员面前的一个挑战。

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  • My guess is that it is implemented very conservatively and disabled early based on various conditions like lock object data size and OS specific features.

    我猜测这是由于它的实现比较保守,根据不同条件(比如锁对象数据大小和其他OS特定的特性)及早地关掉了它。

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  • This implicit association avoids database table joins and extra selections, and cuts down data transfer size.

    这种隐式关联避免了数据库表连接和额外的字段选择,降低了数据传输的大小。

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  • More economical than XML in terms of data size, at the expense of readability.

    在数据可读性费用方面、就数据大小而言比XML更经济。

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  • The data source statement cache size can be tuned using a few different methods.

    可以使用一些不同的方法来调优数据库语句缓存大小。

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  • The first column, usually with a header according to the block size data, shows the total size of the disk.

    第一列通常具有与块大小数据相对应的标题,它显示了磁盘的总大小。

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  • Actual search is rapid, though, and scales linearly for increases in data size.

    可是,实际搜索十分迅速,并且搜索范围随着数据大小线性增长。

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  • The threshold level is set below the maximum number of data requests and the maximum size of data requests that users can send concurrently.

    这个临界值应该小于最大数据请求数和用户能够同时发送的最大数据请求大小。

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  • To avoid discovering data size, the consumer can allocate a buffer of an arbitrary size.

    为避免去发现数据大小,数据使用者可以分配一个任意大小的缓冲区。

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  • There is a 512 bytes limit on the size of data this context can hold.

    这个上下文可以存储的数据大小的限制是 512字节。

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  • For each data element, LOM specifies a name, explanation, size, example value, data type, and other key details.

    对于每个数据元素,LOM都规定了名称、说明、大小、示例值、数据类型以及其他重要细节。

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  • Finally I came to recognize that there seems to be some relation between the enabling of lock elision and the data size of the locked object.

    最后,我认识到激活锁省略似乎和被锁对象的数据大小有关系。

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  • Using the most appropriate type for variables is very important, as it can reduce code and data size and increase performance considerably.

    为变量定义最恰当的类型,非常重要,因为这样可以减少代码和数据的长度,可以非常显著的提高效率。

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  • These channels encode data about an object's size, clarity, brightness and location in the visual field.

    这些信息通道将被视物的尺寸、清晰度、亮度和视野中的位置等信息进行编码。

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  • Support for XML and LOB (large object) data types of any size.

    支持xml和lob(大对象)数据类型。

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  • Table 1. MySQL and Informix data size limits

    表1.MySQL和Informix数据大小限制

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  • Increase the execution group (DataFlowEngine) data segment size (only AIX) as needed.

    根据需要提高执行组(DataFlowEngine)数据分段大小(仅限于AIX)。

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  • Think about the data size transferred, and do not retrieve data that is not needed at a specific time, such as when.

    考虑需要传输的数据大小,不要在没有必要的情况下检索数据,例如当。

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  • Any communication path saved is normally an improvement (but keep the data size in mind).

    保存的任何通讯路径通常都是一个改进(但是记住数据的大小)。

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  • Percolator is better suited when the computation requires strong consistency and has very large requirements in terms of data size, CPU,...

    Percolator更适合于在高一致性及在数据量和CPU等方面有很高需求的计算任务。

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  • To keep the busytime data to a manageable size, data is only extracted once per instance of a repeating meeting.

    为了使busytime数据处在可管理的范围内,对于一个重复会议的每个实例,只提取一次数据。

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  • Larger data size compared to json.

    与JSON相比,数据更大。

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  • Due to the information entry and data size demands of clients, a web based application was not a viable option.

    因为信息输入和客户数据量的要求,基于web的应用并不是可行的选择。

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  • Bar graph that compares data size by format: XML and JSON (in raw or compressed state) with protocol buffers.

    柱状图比较了数据格式速度:XML、JSON和protocolbuffers。

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