查询词典 tuple

This paper provides a heterogeneous information sharable mechanism in a distributed environment-OBKSM. It is a tuple containing three elements: ontology, expression method and implementation.

本文提出一个分布式异构环境中的异质信息共享机制——OBKSM，它是由知识本体、表达方法和实现手段组成的三元组。

Different from traditional data bases, data streams have the following distinguished characteristics:(1)unbounded volume of data;(2)rapid arriving rate of data;(3)uncontrollability of tuples\' arriving order;(4) being processed only once for each tuple, except being reserved.

与传统数据库不同，数据流具有如下特点：(1)数据总量的无限性；(2)数据到达的快速性；(3)数据到达次序的无约束性；(4)除非可以保存，每个元素均只能被处理一次。

This system ensures the security of database server by certificating authority and tuple-level mandatory access control based on network isolation.

该系统在网络隔离的基础上通过身份认证和元组级强制访问控制来保证数据库系统的安全，可提高数据库系统安全性。

If the expression would evaluate to a tuple, it must be parenthesized.

如果想要得到一个元组，必须要加上圆括号。

If the expression would evaluate to a tuple, it must be parenthesized.

如果想要得到一个元组，必须要加上括号。

If the expression would evaluate to a tuple, it must be parenthesized.

这里我们将列表中每个数值乘三，获得一个新的列表

An except clause may name multiple exceptions as a parenthesized tuple, for example

一个except子句可以在括号中列出多个异常的名字，例如

A parenthesized expression list yields whatever that expression list yields: if the list contains at least one comma, it yields a tuple; otherwise, it yields the single expression that makes up the expression list.

括号内表达式列表的结果取决于其内部表达式列表的结果：如果表达式列表中包括至少一个逗号，它就生成一个元组；否则，就生成一个由表达式列表组成的表达式。

However, when the data source is updated, the aggregate values need to be recomputed even after one tuple is inserted or deleted.

然而，当数据源发生改变的时候，要对这样的数据方体进行维护是很困难的，即使只有一条元组发生了变化，所有的聚集值都必须重新计算，代价非常高。

If an order by clause is present, it reorders the tuples in the tuple stream into a new, value-based order.

如果存在order by子句，它以一个新的，基于值的次序排序元组流中的元组。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。