GENERATING A QUERY RESPONSE BY COMBINING PARTIAL RESULTS FROM SEPARATE PARTITIONS OF EVENT RECORDS

    公开(公告)号:US20220012221A1

    公开(公告)日:2022-01-13

    申请号:US17482781

    申请日:2021-09-23

    Applicant: SPLUNK INC.

    Abstract: Embodiments are directed are towards a method for generating a query response, which comprises creating two or more partitions of event records from raw data stored in a data store, wherein each event record in the two or more partitions of event records includes a portion of the raw data and is associated with a time stamp derived from the raw data. The method also comprises generating a summarization table for each partition of the two or more partitions that: (a) identifies a field value comprising a value that corresponds to an associated field extracted from a respective event record; and (b) for the field value, includes a posting value to the respective event record within a respective partition. The method further comprises generating partial results for a received query using summarization tables in the partitions and generating a response to the query by combining the partial results.

    Interactive display of search result information

    公开(公告)号:US11003675B2

    公开(公告)日:2021-05-11

    申请号:US16455193

    申请日:2019-06-27

    Applicant: SPLUNK INC.

    Abstract: A method, system, and processor-readable storage medium are directed towards generating a report derived from data, such as event data, stored on a plurality of distributed nodes. In one embodiment the analysis is generated using a “divide and conquer” algorithm, such that each distributed node analyzes locally stored event data while an aggregating node combines these analysis results to generate the report. In one embodiment, each distributed node also transmits a list of event data references associated with the analysis result to the aggregating node. The aggregating node may then generate a global ordered list of data references based on the list of event data references received from each distributed node. Subsequently, in response to a user selection of a range of global event data, the report may dynamically retrieve event data from one or more distributed nodes for display according to the global order.

    Periodic generation of intermediate summaries to facilitate report acceleration

    公开(公告)号:US10719493B2

    公开(公告)日:2020-07-21

    申请号:US16155746

    申请日:2018-10-09

    Applicant: Splunk Inc.

    Abstract: 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.

    Data model selection and application based on data sources

    公开(公告)号:US10169405B2

    公开(公告)日:2019-01-01

    申请号:US15421415

    申请日:2017-01-31

    Applicant: Splunk Inc.

    Abstract: Embodiments include generating data models that may give semantic meaning for unstructured or structured data that may include data generated and/or received by search engines, including a time series engine. A method includes generating a data model for data stored in a repository. Generating the data model includes generating an initial query string, executing the initial query string on the data, generating an initial result set based on the initial query string being executed on the data, determining one or more candidate fields from one or results of the initial result set, generating a candidate data model based on the one or more candidate fields, iteratively modifying the candidate data model until the candidate data model models the data, and using the candidate data model as the data model.

    GENERATING AND STORING SUMMARIZATION TABLES FOR SETS OF SEARCHABLE EVENTS

    公开(公告)号:US20180246918A1

    公开(公告)日:2018-08-30

    申请号:US15967400

    申请日:2018-04-30

    Applicant: SPLUNK, INC.

    Abstract: Embodiments are directed are towards the transparent summarization of events. Queries directed towards summarizing and reporting on event records may be received at a search head. Search heads may be associated with one more indexers containing event records. The search head may forward the query to the indexers the can resolve the query for concurrent execution. If a query is a collection query, indexers may generate summarization information based on event records located on the indexers. Event record fields included in the summarization information may be determined based on terms included in the collection query. If a query is a stats query, each indexer may generate a partial result set from previously generated summarization information, returning the partial result sets to the search head. Collection queries may be saved and scheduled to run and periodically update the summarization information.

    DISPLAY FOR A NUMBER OF UNIQUE VALUES FOR AN EVENT FIELD
    30.
    发明申请
    DISPLAY FOR A NUMBER OF UNIQUE VALUES FOR AN EVENT FIELD 有权
    显示一些事件字段的唯一值

    公开(公告)号:US20150347526A1

    公开(公告)日:2015-12-03

    申请号:US14815978

    申请日:2015-08-01

    Applicant: Splunk Inc.

    Abstract: A method, system, and processor-readable storage medium are directed towards generating a report derived from data, such as event data, stored on a plurality of distributed nodes. In one embodiment the analysis is generated using a “divide and conquer” algorithm, such that each distributed node analyzes locally stored event data while an aggregating node combines these analysis results to generate the report. In one embodiment, each distributed node also transmits a list of event data references associated with the analysis result to the aggregating node. The aggregating node may then generate a global ordered list of data references based on the list of event data references received from each distributed node. Subsequently, in response to a user selection of a range of global event data, the report may dynamically retrieve event data from one or more distributed nodes for display according to the global order.

    Abstract translation: 方法,系统和处理器可读存储介质被引导为生成从存储在多个分布式节点上的诸如事件数据的数据导出的报告。 在一个实施例中,使用“分割和征服”算法生成分析,使得每个分布式节点分析本地存储的事件数据,而聚合节点组合这些分析结果以生成报告。 在一个实施例中,每个分布式节点还将与分析结果相关联的事件数据引用的列表发送到聚合节点。 然后,聚合节点可以基于从每个分布式节点接收的事件数据参考的列表来生成数据引用的全局有序列表。 随后,响应于用户选择一系列全局事件数据,报告可以动态地从一个或多个分布式节点检索事件数据,以便根据全局顺序进行显示。

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