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    Tracking metadata for a column in a table as a sequence of commands operates on the table
    13.
    发明授权
    Tracking metadata for a column in a table as a sequence of commands operates on the table 有权
    跟踪表中列的元数据作为一系列命令在表上运行

    公开(公告)号：US09152682B2

    公开(公告)日：2015-10-06

    申请号：US14068651

    申请日：2013-10-31

    Applicant: Splunk Inc.

    Inventor： Archana Sulochana Ganapathi ,  Alice Emily Neels ,  Marc Vincent Robichaud ,  Stephen Phillip Sorkin ,  Steve Yu Zhang

    IPC: G06F17/30

    CPC classification number: G06F17/30395 ,  G06F17/30424 ,  G06F17/30477 ,  G06F17/30554

    Abstract: Embodiments are directed towards determining and tracking metadata for the generation of visualizations of requested data. A user may request data by providing a query that may be employed to search for the requested data. The query may include a plurality of commands, which may be employed in a pipeline to perform the search and to generate a table of the requested data. In some embodiments, each command may be executed to perform an action on a set of data. The execution of a command may generate one or more columns to append and/or insert into the table of requested data. Metadata for each generated column may be determined based on the actions performed by executing the commands. The table of requested data and the column metadata may be employed to generate and display a visualization of at least a portion of the requested data to a user.

    Abstract translation: 实施例旨在确定和跟踪用于生成所请求数据的可视化的元数据。 用户可以通过提供可用于搜索所请求的数据的查询来请求数据。 该查询可以包括多个命令，其可以在流水线中用于执行搜索并生成所请求的数据的表。 在一些实施例中，可以执行每个命令以对一组数据执行动作。 命令的执行可以生成一个或多个列来附加和/或插入到所请求的数据的表中。 可以基于通过执行命令执行的动作来确定每个生成的列的元数据。 可以使用所请求的数据和列元数据的表来生成并向用户显示所请求的数据的至少一部分的可视化。

    Generation of a data model applied to queries
    14.
    发明授权
    Generation of a data model applied to queries 有权
    生成应用于查询的数据模型

    公开(公告)号：US09128980B2

    公开(公告)日：2015-09-08

    申请号：US14611232

    申请日：2015-01-31

    Applicant: Splunk Inc.

    Inventor： Alice Emily Neels ,  Archana Sulochana Ganapathi ,  Marc Robichaud ,  Stephen Phillip Sorkin ,  Steve Yu Zhang

    IPC: G06F17/30 ,  G06F17/24

    CPC classification number: G06F17/30395 ,  G06F3/0482 ,  G06F17/248 ,  G06F17/30283 ,  G06F17/30424 ,  G06F17/30528 ,  G06F17/30554 ,  G06F17/30867

    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.

    Abstract translation: 实施例包括生成可以给非结构化或结构化数据赋予语义意义的数据模型，其可以包括由搜索引擎（包括时间序列引擎）生成和/或接收的数据。 一种方法包括为存储在存储库中的数据生成数据模型。 生成数据模型包括生成初始查询字符串，对数据执行初始查询字符串，基于对数据执行的初始查询字符串生成初始结果集，从一个或多个初始查询字符串的结果确定一个或多个候选字段 生成基于一个或多个候选字段的候选数据模型，迭代地修改候选数据模型，直到候选数据模型对数据建模，并使用候选数据模型作为数据模型。

    Discovering fields to filter data returned in response to a search
    16.
    发明授权
    Discovering fields to filter data returned in response to a search 有权
    发现字段以过滤响应搜索返回的数据

    公开(公告)号：US09582585B2

    公开(公告)日：2017-02-28

    申请号：US14448937

    申请日：2014-07-31

    Applicant: Splunk Inc.

    Inventor： Alice Emily Neels ,  Sundar Vasan ,  Simon Fishel ,  Marc Vincent Robichaud

    IPC: G06F3/0482 ,  G06F3/0484 ,  G06F17/30

    CPC classification number: G06F17/30867 ,  G06F3/0482 ,  G06F3/04842 ,  G06F17/30424 ,  G06F17/3053

    Abstract: Fields may be discovered in events that are returned in response to an initial search. The events may comprise portions of raw data. Furthermore, the fields may be defined by extraction rules for extracting values from corresponding portions of raw data. The displaying of a graphical user interface (GUI) may be caused where the GUI enables a user to select or enter criteria for a subset of the discovered fields without entering a search query in a search bar. At least one criterion for at least one field from the subset of the discovered fields may be received through a portion of the GUI that does not include a search bar for entering a search query. The events returned in response to the initial search query may be caused to be filtered based on the received criterion.

    Abstract translation: 可以在响应初始搜索返回的事件中发现字段。 事件可以包括原始数据的部分。 此外，这些字段可以由用于从原始数据的相应部分提取值的提取规则来定义。 图形用户界面（GUI）的显示可能是在GUI允许用户选择或输入所发现的字段的子集的标准而不在搜索栏中输入搜索查询的情况下引起的。 可以通过不包括用于输入搜索查询的搜索栏的GUI的一部分来接收来自所发现字段的子集的至少一个字段的至少一个标准。 响应于初始搜索查询而返回的事件可能被导致根据接收到的标准进行过滤。

    GENERATION OF A DATA MODEL FOR SEARCHING MACHINE DATA
    18.
    发明申请
    GENERATION OF A DATA MODEL FOR SEARCHING MACHINE DATA 有权
    用于搜索机器数据的数据模型的生成

    公开(公告)号：US20140074889A1

    公开(公告)日：2014-03-13

    申请号：US14067203

    申请日：2013-10-30

    Applicant: Splunk Inc.

    Inventor： Alice Emily Neels ,  Archana Sulochana Ganapathi ,  Marc Vincent Robichaud ,  Stephen Phillip Sorkin ,  Steve Yu Zhang

    IPC: G06F17/30

    CPC classification number: G06F17/30395 ,  G06F3/0482 ,  G06F17/248 ,  G06F17/30283 ,  G06F17/30424 ,  G06F17/30528 ,  G06F17/30554 ,  G06F17/30867

    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. The method further includes generating a new query string using the data model, executing the new query string on the data, and generating a new result set based on the new query string being executed on the data.

    Abstract translation: 实施例包括生成可以给非结构化或结构化数据赋予语义意义的数据模型，其可以包括由搜索引擎（包括时间序列引擎）生成和/或接收的数据。 一种方法包括为存储在存储库中的数据生成数据模型。 生成数据模型包括生成初始查询字符串，对数据执行初始查询字符串，基于对数据执行的初始查询字符串生成初始结果集，从一个或多个初始查询字符串的结果确定一个或多个候选字段 生成基于一个或多个候选字段的候选数据模型，迭代地修改候选数据模型，直到候选数据模型对数据建模，并使用候选数据模型作为数据模型。 该方法还包括使用数据模型生成新的查询字符串，对数据执行新的查询字符串，并且基于对数据执行的新查询字符串生成新的结果集。

    Metadata tracking for a pipelined search language (data modeling for fields)
    19.
    发明授权
    Metadata tracking for a pipelined search language (data modeling for fields) 有权
    流水线搜索语言的元数据跟踪（字段的数据建模）

    公开(公告)号：US08583631B1

    公开(公告)日：2013-11-12

    申请号：US13756105

    申请日：2013-01-31

    Applicant: Splunk Inc.

    Inventor： Archana Sulochana Ganapathi ,  Alice Emily Neels ,  Marc Vincent Robichaud ,  Stephen Phillip Sorkin ,  Steve Yu Zhang

    IPC: G06F7/00

    CPC classification number: G06F17/30395 ,  G06F17/30424 ,  G06F17/30477 ,  G06F17/30554

    Abstract: Embodiments are directed towards determining and tracking metadata for the generation of visualizations of requested data. A user may request data by providing a query that may be employed to search for the requested data. The query may include a plurality of commands, which may be employed in a pipeline to perform the search and to generate a table of the requested data. In some embodiments, each command may be executed to perform an action on a set of data. The execution of a command may generate one or more columns to append and/or insert into the table of requested data. Metadata for each generated column may be determined based on the actions performed by executing the commands. The table of requested data and the column metadata may be employed to generate and display a visualization of at least a portion of the requested data to a user.

    Abstract translation: 实施例旨在确定和跟踪用于生成所请求数据的可视化的元数据。 用户可以通过提供可用于搜索所请求的数据的查询来请求数据。 该查询可以包括多个命令，其可以在流水线中用于执行搜索并生成所请求的数据的表。 在一些实施例中，可以执行每个命令以对一组数据执行动作。 命令的执行可以生成一个或多个列来附加和/或插入到所请求的数据的表中。 可以基于通过执行命令执行的动作来确定每个生成的列的元数据。 可以使用所请求的数据和列元数据的表来生成并向用户显示所请求的数据的至少一部分的可视化。

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