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    • 5. 发明授权
    • Processing a system search request including external data sources
    • 处理包括外部数据源的系统搜索请求
    • US09514189B2
    • 2016-12-06
    • US14449144
    • 2014-07-31
    • Splunk Inc.
    • Ledion BitinckaSteve ZhangIgor StojanovskiStephen Sorkin
    • G06F17/30
    • G06F17/30864G06F17/30477G06F17/30516G06F17/30545G06F17/30979
    • A search request received at a computer of a search support system is processed by analyzing the received search request to identify request parameters and connecting to a system index of the search support system that is referenced in the request parameters. An external result provider (ERP) process is initiated that establishes communication between the search support system and a data source external to the search support system, for a virtual index referenced in the request parameters. Thus, the ERP process provides an interface between the search support system and external data sources, such as by third parties. The ERP process can operate in a streaming mode (providing real-time search results with minimal processing) and/or a reporting mode (providing results with a greater delay and processing extent) and can switch between modes. The search request results are received from the connected system indexes and the referenced virtual indexes.
    • 通过分析所接收的搜索请求来识别在搜索支持系统的计算机处接收的搜索请求,以识别请求参数并连接到在请求参数中引用的搜索支持系统的系统索引。 启动外部结果提供程序(ERP)进程,在搜索支持系统和搜索支持系统外部的数据源之间建立通信,为请求参数中引用的虚拟索引。 因此,ERP过程提供了搜索支持系统和外部数据源之间的接口,如第三方。 ERP流程可以以流模式运行(以最少的处理提供实时搜索结果)和/或报告模式(提供更大的延迟和处理范围的结果),并且可以在模式之间切换。 从连接的系统索引和引用的虚拟索引接收搜索请求结果。
    • 6. 发明申请
    • Report Acceleration Using Intermediate Summaries
    • 使用中级摘要报告加速
    • US20150058353A1
    • 2015-02-26
    • US14530678
    • 2014-10-31
    • Splunk Inc.
    • Stephen P. SorkinSteve Yu ZhangLedion Bitincka
    • G06F17/30
    • G06F17/30321G06F17/30424G06F17/30554G06F17/30584G06F17/30946
    • A method and system for managing searches of a data set that is partitioned based on a plurality of events. A structure of a search query may be analyzed to determine if logical computational actions performed on the data set is reducible. Data in each partition is analyzed to determine if at least a portion of the data in the partition is reducible. In response to a subsequent or reoccurring search request, intermediate summaries of reducible data and reducible search computations may be aggregated for each partition. Next, a search result may be generated based on at least one of the aggregated intermediate summaries, the aggregated reducible search computations, and a query of adhoc non-reducible data arranged in at least one of the plurality of partitions for the data set.
    • 一种用于管理基于多个事件划分的数据集的搜索的方法和系统。 可以分析搜索查询的结构以确定对数据集执行的逻辑计算动作是否可减少。 分析每个分区中的数据以确定分区中的数据的至少一部分是否可缩减。 响应于随后或重复出现的搜索请求,可以针对每个分区聚合可缩减数据和可缩减搜索计算的中间摘要。 接下来,可以基于聚合中间摘要,聚合可缩减搜索计算以及排列在用于数据集的多个分区中的至少一个分区中的adhoc不可还原数据的查询中的至少一个来生成搜索结果。
    • 7. 发明授权
    • Report acceleration using intermediate summaries of events
    • 使用中间事件摘要报告加速
    • US08682886B2
    • 2014-03-25
    • US13664239
    • 2012-10-30
    • Splunk Inc.
    • Stephen Phillip SorkinSteve Yu ZhangLedion Bitincka
    • G06F17/30
    • G06F17/30321G06F17/30424G06F17/30554G06F17/30584G06F17/30946
    • A method and system for managing searches of a data set that is partitioned based on a plurality of events. A structure of a search query may be analyzed to determine if logical computational actions performed on the data set is reducible. Data in each partition is analyzed to determine if at least a portion of the data in the partition is reducible. In response to a subsequent or reoccurring search request, intermediate summaries of reducible data and reducible search computations may be aggregated for each partition. Next, a search result may be generated based on at least one of the aggregated intermediate summaries, the aggregated reducible search computations, and a query of adhoc non-reducible data arranged in at least one of the plurality of partitions for the data set.
    • 一种用于管理基于多个事件划分的数据集的搜索的方法和系统。 可以分析搜索查询的结构以确定对数据集执行的逻辑计算动作是否可减少。 分析每个分区中的数据以确定分区中的数据的至少一部分是否可缩减。 响应于随后或重复出现的搜索请求,可以针对每个分区聚合可缩减数据和可缩减搜索计算的中间摘要。 接下来,可以基于聚合中间摘要,聚合可缩减搜索计算以及排列在用于数据集的多个分区中的至少一个分区中的adhoc不可还原数据的查询中的至少一个来生成搜索结果。
    • 8. 发明申请
    • TRANSPARENT INDEX SUMMARIZATION
    • 透明指数总结
    • US20130311509A1
    • 2013-11-21
    • US13664239
    • 2012-10-30
    • SPLUNK INC.
    • Stephen Phillip SorkinSteve Yu ZhangLedion Bitincka
    • G06F17/30
    • G06F17/30321G06F17/30424G06F17/30554G06F17/30584G06F17/30946
    • A method and system for managing searches of a data set that is partitioned based on a plurality of events. A structure of a search query may be analyzed to determine if logical computational actions performed on the data set is reducible. Data in each partition is analyzed to determine if at least a portion of the data in the partition is reducible. In response to a subsequent or reoccurring search request, intermediate summaries of reducible data and reducible search computations may be aggregated for each partition. Next, a search result may be generated based on at least one of the aggregated intermediate summaries, the aggregated reducible search computations, and a query of adhoc non-reducible data arranged in at least one of the plurality of partitions for the data set.
    • 一种用于管理基于多个事件划分的数据集的搜索的方法和系统。 可以分析搜索查询的结构以确定对数据集执行的逻辑计算动作是否可减少。 分析每个分区中的数据以确定分区中的数据的至少一部分是否可缩减。 响应于随后或重复出现的搜索请求,可以针对每个分区聚合可缩减数据和可缩减搜索计算的中间摘要。 接下来,可以基于聚合中间摘要,聚合可缩减搜索计算以及排列在用于数据集的多个分区中的至少一个分区中的adhoc不可还原数据的查询中的至少一个来生成搜索结果。