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    • 2. 发明授权
    • Method and apparatus for accessing data as it existed at a previous point in time
    • 用于访问在先前时间点存在的数据的方法和装置
    • US06983286B1
    • 2006-01-03
    • US10325211
    • 2002-12-18
    • Bipul SinhaNamit JainAmit GaneshArchna Kalra JohnsonSrinivas Vemuri
    • Bipul SinhaNamit JainAmit GaneshArchna Kalra JohnsonSrinivas Vemuri
    • G06F17/30
    • G06F17/30551Y10S707/99943
    • Techniques are provided for sharing of flashback cursors by adding a time domain property to flashback cursors. This time domain property defines the range of flashback times for which the flashback cursor is valid. According to one embodiment, this “validity range” is closed at the lower bound and open at the upper bound. A subsequent flashback query can share an existing flashback cursor if the flashback time of the subsequent flashback query falls within the validity range of the existing flashback cursor. In one embodiment, the validity range of a flashback cursor is established based on times associated with indexes used to process the flashback query for which the flashback cursor was made. Consequently, an existing flashback cursor is less likely to be used by a subsequent flashback query when it would be inefficient to do so.
    • 提供了通过向闪回光标添加时域属性来共享闪回光标的技术。 此时域属性定义闪回光标有效的闪回时间范围。 根据一个实施例,该“有效范围”在下限处封闭并在上限处打开。 如果后续闪回查询的闪回时间落在现有闪回游标的有效范围内,后续闪回查询可以共享现有闪回游标。 在一个实施例中,闪回光标的有效范围基于与用于处理闪回光标的闪回查询的索引相关联的时间来建立。 因此,当这样做的效率低下时,现有的闪回游标不太可能被随后的闪回查询使用。
    • 4. 发明申请
    • Active queries filter extraction
    • 主动查询过滤提取
    • US20050055381A1
    • 2005-03-10
    • US10866433
    • 2004-06-10
    • Amit GaneshBipul SinhaSrinivas Vemuri
    • Amit GaneshBipul SinhaSrinivas Vemuri
    • G06F17/30
    • G06F16/24552G06F16/24568
    • A query result set is an example of a type of body of data whose content is defined by a query. Modifications to a database can change the result of a query and therefore what the content of such a body of data, such as a result set, should be. Active Queries is an approach that enables a database server to detect database changes that alter the result of a query registered for a client and to notify a client of those changes. The notifications may be sent to, for example, a cache manager responsible for maintaining coherency of a result set cache generated by the query. The notification notifies the cache manager of when and/or what changes are needed to maintain the coherency of the cache.
    • 查询结果集是其内容由查询定义的数据主体类型的示例。 对数据库的修改可以改变查询的结果,因此这样一个数据体的内容,比如结果集,应该是什么。 活动查询是一种使数据库服务器能够检测数据库更改的方法,可更改为客户端注册的查询结果,并通知客户端这些更改。 通知可以被发送到例如负责维护由查询生成的结果集缓存的一致性的高速缓存管理器。 该通知通知高速缓存管理器需要什么时候和/或需要什么改变来维持高速缓存的一致性。
    • 9. 发明授权
    • Apparatus to selectively remove the effects of transactions in online database and enable logical recovery
    • 用于选择性地消除在线数据库中事务的影响并启用逻辑恢复的装置
    • US07873605B2
    • 2011-01-18
    • US11699689
    • 2007-01-29
    • Manosiz BhattacharyyaBipul SinhaAmit Ganesh
    • Manosiz BhattacharyyaBipul SinhaAmit Ganesh
    • G06F7/00G06F17/00
    • G06F17/30377
    • A method and apparatus for selective removal of user data changes is provided. In one embodiment, the methodology is implemented by a logical recovery mechanism. Upon receiving a request to selectively remove user data changes stored in a database, the mechanism creates an empty set of transactions to be populated for selective removal, identifies one or more transactions and places them in the causal set of transactions. The mechanism further identifies other transactions that logically depend on any transaction already in the causal set of transactions. Finally, either while the causal set of transactions is being identified or after the identification is completed, the mechanism also determines user data changes made by the causal set of transactions. One or more compensating transactions may be generated by the logical recovery mechanism, which when executed, reverse the user data changes.
    • 提供了用于选择性地去除用户数据变化的方法和装置。 在一个实施例中,该方法由逻辑恢复机制来实现。 在接收到选择性地删除存储在数据库中的用户数据改变的请求时,该机制创建要填充的空的一组事务以进行选择性删除,识别一个或多个事务并将它们放置在因果集合中。 该机制进一步识别逻辑上依赖于因果交易集合中的任何交易的其他交易。 最后,既然确定了交易的因果集合,或者在识别完成之后,该机制还确定了因果集交易所做的用户数据更改。 一个或多个补偿事务可以由逻辑恢复机制产生,逻辑恢复机制在执行时反转用户数据改变。