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    • 7. 发明授权
    • Eventually consistent storage and transactions in cloud based environment
    • 最终在云环境中存储和交易一致
    • US09436502B2
    • 2016-09-06
    • US13530661
    • 2012-06-22
    • Sebastian BurckhardtDaniel Johannes Pieter LeijenManuel A. FahndrichBenjamin Paul Wood
    • Sebastian BurckhardtDaniel Johannes Pieter LeijenManuel A. FahndrichBenjamin Paul Wood
    • G06F9/46G06F17/30
    • G06F9/466G06F17/30212G06F17/30371G06F17/30575Y10S707/99938Y10S707/99954
    • An “Eventually Consistent Sharing Model” provides various techniques for using “revision diagrams” to determine both arbitration and visibility of changes or updates to shared data (e.g., data, databases, lists, etc.) without requiring a causally consistent partial order for visibility, and without requiring change or update timestamps for arbitration. In particular, the Eventually Consistent Sharing Model provides fork-join automata based on revision diagrams to track the forking and joining of data versions, thereby tracking updates made to replicas of that data by one or more sources. “Cloud types” are used to define a structure of the shared data that enables fully automatic conflict resolution when updating the shared data. These concepts enable mobile devices (or other computing devices that may periodically go “offline”) to share structured data in cloud-based environments in a manner that provides local data replicas for offline operation while guaranteeing eventually consistent convergence of the data replicas.
    • “最终一致共享模型”提供了各种使用“修订图”来确定对共享数据(例如数据,数据库,列表等)进行更改或更新的仲裁和可见性的各种技术,而不需要因果关系一致的部分可见度 ,而不需要更改或更新仲裁的时间戳。 特别地,最终一致共享模型基于修订图提供叉连接自动机,以跟踪数据版本的分支和加入,从而跟踪由一个或多个源对该数据的副本的更新。 “云类型”用于定义共享数据的结构,以便在更新共享数据时实现全自动冲突解决。 这些概念使移动设备(或其他可能定期“离线”的计算设备)能够以提供本地数据副本进行脱机操作的方式在基于云的环境中共享结构化数据,同时保证数据副本最终保持一致的收敛。
    • 10. 发明授权
    • Replicating data across multiple copies of a table in a database system
    • 在数据库系统中的表的多个副本上复制数据
    • US09244996B2
    • 2016-01-26
    • US11771801
    • 2007-06-29
    • Serge BourbonnaisElizabeth B. HamelBruce G. LindsayStephen J. Todd
    • Serge BourbonnaisElizabeth B. HamelBruce G. LindsayStephen J. Todd
    • G06F17/30
    • G06F17/30578G06F17/30345Y10S707/99938
    • A mechanism for handling transaction messages in asynchronous data replication in a database system, in which the database system includes a source node and a target node, and each transaction message has information concerning a row change to a table copy at the source node. The mechanism determines whether a first transaction message has a dependency on a preceding non-completed transaction message. Responsive to the first transaction message having a dependency on the preceding non-completed transaction, the mechanism holds the first transaction message, completes the preceding non-completed transaction message including applying the row change associated with the preceding non-completed transaction message to the table copy at the target node, and responsive to completing the preceding non-completed transaction message, releases the first transaction message and applying the row change associated with the first transaction message to the table copy at the target node.
    • 用于在数据库系统中处理异步数据复制中的事务消息的机制,其中数据库系统包括源节点和目标节点,并且每个事务消息具有关于在源节点处的表副本的行更改的信息。 该机制确定第一事务消息是否具有对先前未完成的事务消息的依赖性。 响应于对先前未完成的事务具有依赖性的第一交易消息,该机制保持第一交易消息,完成前述未完成的交易消息,包括将与先前未完成的交易消息相关联的行变更应用于表 在目标节点处的副本,并且响应于完成上述未完成的交易消息,释放第一交易消息并将与第一交易消息相关联的行变更应用于目标节点处的表副本。