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    • 4. 发明授权
    • Time model
    • 时间模型
    • US07376682B2
    • 2008-05-20
    • US10775513
    • 2004-02-09
    • Mark RamacherGraham S. WoodJuan LoaizaTirthankar LahiriKarl Dias
    • Mark RamacherGraham S. WoodJuan LoaizaTirthankar LahiriKarl Dias
    • G06F17/30
    • G06F17/30008Y10S707/99957
    • Quantifying the impact of wasteful operations on a database system is provided. One or more operations that are determined to be wasteful are received. The impact of the wasteful operations on performance in a database may then be quantified. The database is monitored to determine when a wasteful operation is being performed. When a wasteful operation is detected, a time value is recorded of the time spent on processing the wasteful operation. The time value is stored and used to quantify an impact of a performance problem in a database. The time value may be stored and associated with other time values that are recorded for the same wasteful operation. Thus, the impact of wasteful operations that are performed and processed in a database may be determined.
    • 提供了浪费操作对数据库系统的影响。 接收到被确定为浪费的一个或多个操作。 然后可以量化浪费操作对数据库中的性能的影响。 监视数据库以确定何时执行浪费的操作。 当检测到浪费的操作时,记录处理浪费操作花费的时间的时间值。 时间值被存储并用于量化数据库中性能问题的影响。 时间值可以被存储并且与为相同的浪费操作记录的其他时间值相关联。 因此,可以确定在数据库中执行和处理的浪费操作的影响。
    • 5. 发明授权
    • Self-managing performance statistics repository for databases
    • 数据库的自我管理性能统计信息库
    • US07774312B2
    • 2010-08-10
    • US10934771
    • 2004-09-03
    • Gary NgaiMichael FengAlex TsukermanBenoit DagevilleMark RamacherKarl DiasGraham S. WoodLeng Leng TanRichard SarwalSushil Kumar
    • Gary NgaiMichael FengAlex TsukermanBenoit DagevilleMark RamacherKarl DiasGraham S. WoodLeng Leng TanRichard SarwalSushil Kumar
    • G06F17/30
    • G06F17/30306
    • 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.
    • 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。