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    • 3. 发明授权
    • Cluster caching with concurrency checking
    • 具有并发检查的群集缓存
    • US07444333B2
    • 2008-10-28
    • US11338969
    • 2006-01-25
    • Dean Bernard JacobsRob WoollenAdam MessingerSeth White
    • Dean Bernard JacobsRob WoollenAdam MessingerSeth White
    • G06F17/30
    • G06F17/30902G06Q20/04G06Q20/389G07F19/201H04L67/1095H04L67/2852H04L67/288H04L69/329Y10S707/99938
    • Concurrency can be maintained in cluster caching when processing an update request on network server that is storing a local copy of a data item. The request can be processed using the local copy of the data item. A predicated update request can be sent to a network database storing the data item, wherein the database can commit the update if the local copy is current with the data item. If the local copy is not current, the network server can request a new copy, process the request using the current copy, and try another predicated request. The process can continue until the update is committed to the database or aborted. Once committed, any other servers in the cluster can be notified that the data item has been updated. Those other servers can drop any local copy of the data item and can request an updated copy of the data item.
    • 在存储数据项的本地副本的网络服务器上处理更新请求时,可以在群集缓存中维护并发性。 可以使用数据项的本地副本处理请求。 可以将预测的更新请求发送到存储数据项的网络数据库,其中如果本地副本与数据项目当前一起,则数据库可以提交更新。 如果本地副本不是当前副本,则网络服务器可以请求新的副本,使用当前副本处理请求,并尝试另一个预定请求。 该过程可以继续,直到更新提交到数据库或中止。 一旦提交,群集中的任何其他服务器都可以通知数据项目已被更新。 那些其他服务器可以删除数据项的任何本地副本,并可以请求数据项的更新副本。
    • 10. 发明授权
    • System and method for adaptively optimizing queries
    • 用于自适应优化查询的系统和方法
    • US06748373B2
    • 2004-06-08
    • US10244884
    • 2002-09-17
    • Adam MessingerSeth White
    • Adam MessingerSeth White
    • G06F1730
    • G06F17/30306Y10S707/99932Y10S707/99933Y10S707/99943Y10S707/99944
    • The performance of a database system can be improved by tracking the way in which data is accessed. By tracking such information, it is possible to load frequently-accessed fields of an entity bean, as well as related beans that are frequently accessed, by optimizing a field group for that entity bean. It is also possible to use the tracking information to prevent infrequently accessed fields from being automatically loaded. Information to be monitored can include how often each field is accessed, how many times a particular entity or application accesses a field, and how often a field is accessed for a given transaction context. By using this information to periodically optimize field groups, the fields and associated entity beans that are most often accessed, such as by the entity and/or transaction causing the entity bean to be loaded, can be automatically loaded when an entity bean is loaded into a container. This lowers database traffic and the volume of data transfer by simultaneously loading the fields most likely to be accessed, and not loading data unlikely to be accessed.
    • 通过跟踪访问数据的方式可以提高数据库系统的性能。 通过跟踪此类信息,可以通过优化该实体bean的字段组来加载实体bean的频繁访问字段以及经常访问的相关bean。 还可以使用跟踪信息来防止不经常访问的字段被自动加载。 要监视的信息可以包括每个字段被访问的频率,特定实体或应用程序访问字段的次数以及给定事务上下文访问字段的频率。 通过使用此信息来定期优化字段组,可以在实体bean加载时自动加载最常访问的字段和关联的实体bean,例如通过导致实体bean加载的实体和/或事务的关联实体bean 一个容器 通过同时加载最可能被访问的字段,并且不加载不太可能被访问的数据,这降低了数据库流量和数据传输量。