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    • 1. 发明申请
    • Versioning and concurrency control for multiple client access of data
    • 数据的多客户端访问的版本控制和并发控制
    • US20080120297A1
    • 2008-05-22
    • US11602069
    • 2006-11-20
    • Rahul KapoorRolando Jimenez SalgadoKaushik RajXiaoyu WuSatish Thatte
    • Rahul KapoorRolando Jimenez SalgadoKaushik RajXiaoyu WuSatish Thatte
    • G06F17/30
    • G06F17/30348
    • Versioning and concurrency control architecture of data operations on data of a data source by multiple independent clients of a user. Data operation messages between the clients and the data source are intercepted and tracked for serialization control to a data view instance of the data source. The architecture can be located as an always-on centrally-located system (e.g., mid-tier), accommodate data operations that include create, read, update, delete, and query (CRUDQ) against data sources, and provides support for distributed transactions, locking, versioning, and reliable messaging, for example, for data sources that do not expose such capabilities. A hash is employed for version control and to control changes at the data source. The central system also provides logic for the individual CRUDQ operations, and granular error classification to enable retries whenever possible.
    • 由用户的多个独立客户端对数据源的数据进行数据操作的版本控制和并发控制架构。 客户端和数据源之间的数据操作消息被拦截并被跟踪以便对数据源的数据视图实例进行串行化控制。 该体系结构可以作为始终处于中心位置的系统(例如,中间层)进行定位,适应数据源的数据操作,包括创建,读取,更新,删除和查询(CRUDQ),并为分布式事务提供支持 ,锁定,版本控制和可靠的消息传递,例如,对于不暴露此类功能的数据源。 使用哈希来进行版本控制,并控制数据源的更改。 中央系统还为单个CRUDQ操作提供了逻辑,并且在可能的情况下进行了细粒度的错误分类,以便重试。
    • 2. 发明授权
    • Versioning and concurrency control for multiple client access of data
    • 数据的多客户端访问的版本控制和并发控制
    • US07805420B2
    • 2010-09-28
    • US11602069
    • 2006-11-20
    • Rahul KapoorRolando Jimenez SalgadoKaushik RajSatish ThatteXiaoyu Wu
    • Rahul KapoorRolando Jimenez SalgadoKaushik RajSatish ThatteXiaoyu Wu
    • G06F17/30
    • G06F17/30348
    • Versioning and concurrency control architecture of data operations on data of a data source by multiple independent clients of a user. Data operation messages between the clients and the data source are intercepted and tracked for serialization control to a data view instance of the data source. The architecture can be located as an always-on centrally-located system (e.g., mid-tier), accommodate data operations that include create, read, update, delete, and query (CRUDQ) against data sources, and provides support for distributed transactions, locking, versioning, and reliable messaging, for example, for data sources that do not expose such capabilities. A hash is employed for version control and to control changes at the data source. The central system also provides logic for the individual CRUDQ operations, and granular error classification to enable retries whenever possible.
    • 由用户的多个独立客户端对数据源的数据进行数据操作的版本控制和并发控制架构。 客户端和数据源之间的数据操作消息被拦截并被跟踪以便对数据源的数据视图实例进行串行化控制。 该体系结构可以作为始终处于中心位置的系统(例如,中间层)进行定位,适应数据源的数据操作,包括创建,读取,更新,删除和查询(CRUDQ),并为分布式事务提供支持 ,锁定,版本控制和可靠的消息传递,例如,对于不暴露此类功能的数据源。 使用哈希来进行版本控制,并控制数据源的更改。 中央系统还为单个CRUDQ操作提供了逻辑,并且在可能的情况下进行了细粒度的错误分类,以便重试。