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    • 1. 发明申请
    • Time model
    • 时间模型
    • US20050055672A1
    • 2005-03-10
    • US10775513
    • 2004-02-09
    • Mark RamacherGraham WoodJuan LoaizaTirthankar LahiriKarl Dias
    • Mark RamacherGraham WoodJuan LoaizaTirthankar LahiriKarl Dias
    • G06F9/44
    • 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. 发明申请
    • Self-managing performance statistics repository for databases
    • 数据库的自我管理性能统计信息库
    • US20050086263A1
    • 2005-04-21
    • US10934771
    • 2004-09-03
    • Gary NgaiMichael FengAlex TsukermanBenoit DagevilleMark RamacherKarl DiasGraham WoodLeng Leng TanRichard SarwalSushil Kumar
    • Gary NgaiMichael FengAlex TsukermanBenoit DagevilleMark RamacherKarl DiasGraham WoodLeng Leng TanRichard SarwalSushil Kumar
    • G06F7/00
    • 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。
    • 6. 发明申请
    • Automatic workload repository battery of performance statistics
    • 自动工作负载库电池的性能统计
    • US20050086242A1
    • 2005-04-21
    • US10934344
    • 2004-09-03
    • Gary NgaiMark RamacherGraham WoodConnie GreenVenkateshwaran VenkataramaniKarl DiasBenoit DagevilleMichael Feng
    • Gary NgaiMark RamacherGraham WoodConnie GreenVenkateshwaran VenkataramaniKarl DiasBenoit DagevilleMichael Feng
    • G06F7/00G06F17/00G06F17/30
    • G06F17/30289Y10S707/99932Y10S707/99945
    • A self-managing workload repository infrastructure (or “AWR” for Automatic workload repository) which is useful for a database server to collect and manage useful system performance statistics. The AWR runs automatically to collect performance data about the operation of the database system, and stores the data that it captures into the database. The collection process is done inside the database, and the collection process is highly efficient as data is retrieved directly from the shared memory of the database kernel. The data captured allows both system level and user level analysis to be performed without unduly impacting system performance, e.g., by eliminating or reducing the requirement to repeat the workload in order to diagnose problems. 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. The captured performance data includes one or more of the top N (e.g., 20 or 30) statistics for activities involving a large set of objects, time-based statistics, cumulative statistics, sampled data and metrics and other data types.
    • 自管理工作负载存储库基础架构(或自动工作负载存储库的“AWR”),可用于数据库服务器收集和管理有用的系统性能统计信息。 AWR自动运行以收集有关数据库系统操作的性能数据,并将其捕获的数据存储到数据库中。 收集过程在数据库内完成,并且收集过程非常有效,因为直接从数据库内核的共享内存中检索数据。 捕获的数据允许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。 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。 捕获的性能数据包括涉及大量对象,基于时间的统计,累积统计,采样数据和度量以及其他数据类型的活动的前N(例如,20或30)统计信息中的一个或多个。
    • 8. 发明授权
    • Automatic workload repository battery of performance statistics
    • 自动工作负载库电池的性能统计
    • US07603340B2
    • 2009-10-13
    • US10934344
    • 2004-09-03
    • Gary NgaiMark RamacherGraham WoodConnie GreenVenkateshwaran VenkatatamaniKarl DiasBenoit DagevilleMichael Feng
    • Gary NgaiMark RamacherGraham WoodConnie GreenVenkateshwaran VenkatatamaniKarl DiasBenoit DagevilleMichael Feng
    • G06F7/00G06F17/30
    • G06F17/30289Y10S707/99932Y10S707/99945
    • A self-managing workload repository infrastructure (or “AWR” for Automatic workload repository) which is useful for a database server to collect and manage useful system performance statistics. The AWR runs automatically to collect performance data about the operation of the database system, and stores the data that it captures into the database. The collection process is done inside the database, and the collection process is highly efficient as data is retrieved directly from the shared memory of the database kernel. The data captured allows both system level and user level analysis to be performed without unduly impacting system performance, e.g., by eliminating or reducing the requirement to repeat the workload in order to diagnose problems. 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. The captured performance data includes one or more of the top N (e.g., 20 or 30) statistics for activities involving a large set of objects, time-based statistics, cumulative statistics, sampled data and metrics and other data types.
    • 自管理工作负载存储库基础架构(或自动工作负载存储库的“AWR”),可用于数据库服务器收集和管理有用的系统性能统计信息。 AWR自动运行以收集有关数据库系统操作的性能数据,并将其捕获的数据存储到数据库中。 收集过程在数据库内完成,并且收集过程非常有效,因为直接从数据库内核的共享内存中检索数据。 捕获的数据允许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。 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。 捕获的性能数据包括涉及大量对象,基于时间的统计,累积统计,采样数据和度量以及其他数据类型的活动的前N(例如,20或30)统计信息中的一个或多个。
    • 9. 发明申请
    • Automatic Workload Repository Performance Baselines
    • 自动工作负载存储库性能基准
    • US20090106756A1
    • 2009-04-23
    • US12111011
    • 2008-04-28
    • Mike FengMark RamacherGary NgaiGraham WoodJohn Beresniewicz
    • Mike FengMark RamacherGary NgaiGraham WoodJohn Beresniewicz
    • G06F9/46
    • G06F11/3495G06F11/3409G06F11/3428G06F11/3616
    • Techniques that improve manageability of systems. Techniques are provided for creating different types of baselines that are more flexible and dynamic in nature. A future-based baseline may be created defining a period of time, wherein at least a portion of the period of time is in the future. A baseline may be created that is a composite of multiple baselines. In general, baselines may be specified having one or more periods of time that are either contiguous or non-contiguous. A template for creating a set of baselines based on a set of time periods may also be created, where the template can be used to create a baseline for each of the set of time periods. A moving window baseline may be created having an associated time window that changes with passage of time, where accordingly the data associated with the baseline may also dynamically change with passage of time.
    • 提高系统可管理性的技术。 提供了技术来创建不同类型的基础,这些基准在本质上更加灵活和动态。 可以创建定义一段时间的基于未来的基线,其中至少一部分时间段在将来。 可以创建一个基准,该基准是多个基线的组合。 通常,可以指定具有连续或不连续的一个或多个时间段的基线。 还可以创建用于基于一组时间段来创建一组基线的模板,其中可以使用该模板为每组时间段创建基准。 可以创建具有随时间变化而变化的相关联的时间窗口的移动窗口基线,其中因此与基线相关联的数据也随着时间的推移而动态地改变。