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    Self-managing performance statistics repository for databases
    5.
    发明申请
    Self-managing performance statistics repository for databases 有权
    数据库的自我管理性能统计信息库

    公开(公告)号：US20050086263A1

    公开(公告)日：2005-04-21

    申请号：US10934771

    申请日：2004-09-03

    申请人： Gary Ngai ,  Michael Feng ,  Alex Tsukerman ,  Benoit Dageville ,  Mark Ramacher ,  Karl Dias ,  Graham Wood ,  Leng Leng Tan ,  Richard Sarwal ,  Sushil Kumar

    发明人： Gary Ngai ,  Michael Feng ,  Alex Tsukerman ,  Benoit Dageville ,  Mark Ramacher ,  Karl Dias ,  Graham Wood ,  Leng Leng Tan ,  Richard Sarwal ,  Sushil Kumar

    IPC分类号： G06F7/00

    CPC分类号： G06F17/30306

    摘要： A self-managing workload repository (AWR) infrastructure useful for a database server to collect and manage selected sets of important system performance statistics. Based on a schedule, the AWR runs automatically to collect data about the operation of the database system, and stores the data that it captures into the database. The AWR is advantageously designed to be lightweight and to self manage its use of storage space so as to avoid ending up with a repository of performance data that is larger than the database that it is capturing data about. The AWR is configured to automatically capture snapshots of statistics data on a periodic basis as well as purge stale data on a periodic basis. Both the frequency of the statistics data capture and length of time for which data is kept is adjustable. Manual snapshots and purging may also be performed. The AWR captured data allows for both system level and user level analysis to be automatically performed without unduly impacting system performance, e.g., by eliminating or reducing the requirement to repeat the workload in order to diagnose problems.

    摘要翻译： 自管理工作负载存储库（AWR）基础架构可用于数据库服务器收集和管理所选的重要系统性能统计信息。 根据计划，AWR自动运行以收集有关数据库系统操作的数据，并将其捕获的数据存储到数据库中。 AWR有利地被设计为轻量级并且自我管理其对存储空间的使用，以避免最终获得比它正在捕获数据的数据库更大的性能数据库。 AWR配置为定期自动捕获统计数据的快照，并定期清除过期数据。 统计数据捕获的频率和保存数据的时间长短都是可调的。 也可以执行手动快照和清除。 AWR捕获的数据允许自动执行系统级别和用户级别分析，而不会不必要地影响系统性能，例如通过消除或减少重复工作负载以便诊断问题的要求。

    Self-managing performance statistics repository for databases
    6.
    发明授权
    Self-managing performance statistics repository for databases 有权
    数据库的自我管理性能统计信息库

    公开(公告)号：US07774312B2

    公开(公告)日：2010-08-10

    申请号：US10934771

    申请日：2004-09-03

    申请人： Gary Ngai ,  Michael Feng ,  Alex Tsukerman ,  Benoit Dageville ,  Mark Ramacher ,  Karl Dias ,  Graham S. Wood ,  Leng Leng Tan ,  Richard Sarwal ,  Sushil Kumar

    发明人： Gary Ngai ,  Michael Feng ,  Alex Tsukerman ,  Benoit Dageville ,  Mark Ramacher ,  Karl Dias ,  Graham S. Wood ,  Leng Leng Tan ,  Richard Sarwal ,  Sushil Kumar

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30306

    摘要： A self-managing workload repository (AWR) infrastructure useful for a database server to collect and manage selected sets of important system performance statistics. Based on a schedule, the AWR runs automatically to collect data about the operation of the database system, and stores the data that it captures into the database. The AWR is advantageously designed to be lightweight and to self manage its use of storage space so as to avoid ending up with a repository of performance data that is larger than the database that it is capturing data about. The AWR is configured to automatically capture snapshots of statistics data on a periodic basis as well as purge stale data on a periodic basis. Both the frequency of the statistics data capture and length of time for which data is kept is adjustable. Manual snapshots and purging may also be performed. The AWR captured data allows for both system level and user level analysis to be automatically performed without unduly impacting system performance, e.g., by eliminating or reducing the requirement to repeat the workload in order to diagnose problems.

    摘要翻译： 自管理工作负载存储库（AWR）基础架构可用于数据库服务器收集和管理所选的重要系统性能统计信息。 根据计划，AWR自动运行以收集有关数据库系统操作的数据，并将其捕获的数据存储到数据库中。 AWR有利地被设计为轻量级并且自我管理其对存储空间的使用，以避免最终获得比它正在捕获数据的数据库更大的性能数据库。 AWR配置为定期自动捕获统计数据的快照，并定期清除过期数据。 统计数据捕获的频率和保存数据的时间长短都是可调的。 也可以执行手动快照和清除。 AWR捕获的数据允许自动执行系统级别和用户级别分析，而不会不必要地影响系统性能，例如通过消除或减少重复工作负载以便诊断问题的要求。