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    • 1. 发明申请
    • EFFICIENT FILE ACCESS IN A LARGE REPOSITORY USING A TWO-LEVEL CACHE
    • 使用两级高速缓存的大型报表中的高效文件访问
    • US20110113036A1
    • 2011-05-12
    • US12615090
    • 2009-11-09
    • Sam IdiculaSabina PetrideBhushan KhaladkarNipun Agarwal
    • Sam IdiculaSabina PetrideBhushan KhaladkarNipun Agarwal
    • G06F17/30G06F12/00G06F12/08
    • G06F17/30097G06F12/0811G06F12/084G06F17/30929
    • A two-level cache to facilitate resolving resource path expressions for a hierarchy of resources is described, which includes a system-wide shared cache and a session-level cache. The shared cache is organized as a hierarchy of hash tables that mirrors the structure of a repository hierarchy. A particular hash table in a shared cache includes information for the child resources of a particular resource. A database management system that manages a shared cache may control the amount of memory used by the cache by implementing a replacement policy for the cache based on one or more characteristics of the resources in the repository. The session-level cache is a single level cache in which information for target resources of resolved path expressions may be tracked. In the session-level cache, the resource information is associated with the entire path expression of the associated resource.
    • 描述了用于促进解决资源层级的资源路径表达式的两级缓存,其包括系统范围共享高速缓存和会话级缓存。 共享缓存被组织为映射存储库层次结构的散列表的层次结构。 共享缓存中的特定哈希表包括特定资源的子资源的信息。 管理共享高速缓存的数据库管理系统可以基于存储库中的资源的一个或多个特性来实现对高速缓存的替换策略来控制高速缓存所使用的存储器量。 会话级缓存是单级缓存,其中可以跟踪解析的路径表达式的目标资源的信息。 在会话级缓存中,资源信息与相关资源的整个路径表达式相关联。
    • 2. 发明申请
    • Automatic Denormalization For Analytic Query Processing In Large-Scale Clusters
    • 用于大规模集群中的分析查询处理的自动非规范化
    • US20140067791A1
    • 2014-03-06
    • US13605903
    • 2012-09-06
    • Sam IdiculaSabina PetrideNipun Agarwal
    • Sam IdiculaSabina PetrideNipun Agarwal
    • G06F17/30
    • G06F17/30592G06F17/30457G06F17/30501
    • A system and method for improving performance of join operations is disclosed. The method in one embodiment includes building a graph of vertices and edges, which represent the tables and join conditions for a particular database schema. The method then traverses the graph to find a set of candidate join operations. The method further includes selecting from the set of subset of join operations that makes the best use of a given amount of memory, which means finding a collection of denormalizations which when residing in memory provide the most benefit and the least cost for the given amount of memory. The method then deploys the denormalizations so that current queries in a query processing system can use them instead of actually performing the joins.
    • 公开了一种用于提高连接操作性能的系统和方法。 一个实施例中的方法包括构建顶点和边的图,其表示特定数据库模式的表和连接条件。 然后,该方法遍历图形以找到一组候选连接操作。 该方法还包括从充分利用给定量的存储器的连接操作的集合集合中进行选择,这意味着找到一种非规范化集合,其在驻留在存储器中时提供最大的收益,并且给定量的 记忆。 然后,该方法部署非规范化,以便查询处理系统中的当前查询可以使用它们,而不是实际执行连接。
    • 5. 发明授权
    • Automatic denormalization for analytic query processing in large-scale clusters
    • 大规模集群中分析查询处理的自动反规范化
    • US09031932B2
    • 2015-05-12
    • US13605903
    • 2012-09-06
    • Sam IdiculaSabina PetrideNipun Agarwal
    • Sam IdiculaSabina PetrideNipun Agarwal
    • G06F17/30
    • G06F17/30592G06F17/30457G06F17/30501
    • A system and method for improving performance of join operations is disclosed. The method in one embodiment includes building a graph of vertices and edges, which represent the tables and join conditions for a particular database schema. The method then traverses the graph to find a set of candidate join operations. The method further includes selecting from the set of subset of join operations that makes the best use of a given amount of memory, which means finding a collection of denormalizations which when residing in memory provide the most benefit and the least cost for the given amount of memory. The method then deploys the denormalizations so that current queries in a query processing system can use them instead of actually performing the joins.
    • 公开了一种用于提高连接操作性能的系统和方法。 一个实施例中的方法包括构建顶点和边的图,其表示特定数据库模式的表和连接条件。 然后,该方法遍历图形以找到一组候选连接操作。 该方法还包括从充分利用给定量的存储器的连接操作的集合集合中进行选择,这意味着找到一种非规范化集合,其在驻留在存储器中时提供最大的收益,并且给定量的 记忆。 然后,该方法部署非规范化,以便查询处理系统中的当前查询可以使用它们,而不是实际执行连接。
    • 8. 发明授权
    • Efficient file access in a large repository using a two-level cache
    • 使用两级缓存在大型存储库中高效地进行文件访问
    • US08326839B2
    • 2012-12-04
    • US12615090
    • 2009-11-09
    • Sam IdiculaSabina PetrideBhushan KhaladkarNipun Agarwal
    • Sam IdiculaSabina PetrideBhushan KhaladkarNipun Agarwal
    • G06F7/00G06F17/00G06F17/30
    • G06F17/30097G06F12/0811G06F12/084G06F17/30929
    • A two-level cache to facilitate resolving resource path expressions for a hierarchy of resources is described, which includes a system-wide shared cache and a session-level cache. The shared cache is organized as a hierarchy of hash tables that mirrors the structure of a repository hierarchy. A particular hash table in a shared cache includes information for the child resources of a particular resource. A database management system that manages a shared cache may control the amount of memory used by the cache by implementing a replacement policy for the cache based on one or more characteristics of the resources in the repository. The session-level cache is a single level cache in which information for target resources of resolved path expressions may be tracked. In the session-level cache, the resource information is associated with the entire path expression of the associated resource.
    • 描述了用于促进解决资源层级的资源路径表达式的两级缓存,其包括系统范围共享高速缓存和会话级缓存。 共享缓存被组织为映射存储库层次结构的散列表的层次结构。 共享缓存中的特定哈希表包括特定资源的子资源的信息。 管理共享高速缓存的数据库管理系统可以基于存储库中的资源的一个或多个特性来实现对高速缓存的替换策略来控制高速缓存所使用的存储器量。 会话级缓存是单级缓存,其中可以跟踪解析的路径表达式的目标资源的信息。 在会话级缓存中,资源信息与相关资源的整个路径表达式相关联。