Recommending query templates during query formation

    公开(公告)号:US11113294B1

    公开(公告)日:2021-09-07

    申请号:US16513573

    申请日:2019-07-16

    Applicant: Splunk Inc.

    Abstract: Systems and methods are disclosed for recommending query templates to a user. The system can identify a token query parameter from a portion of a query entered in a user interface, and use the token to identify a query template from a group of query templates. In some cases, some of the query templates can correspond to other queries associated with users of different tenants and can be generated by replacing user query parameters with placeholders. The system can identify query parameters for the placeholders and cause a user interface to display the query template with the query parameters in place of the placeholders.

    Recommending Query Parameters Based on Tenant Information

    公开(公告)号:US20230031327A1

    公开(公告)日:2023-02-02

    申请号:US17811821

    申请日:2022-07-11

    Applicant: Splunk Inc.

    Abstract: Systems and methods are disclosed for recommending query parameters to a user based on tenant information. The system can identify a token query parameter from a portion of a query entered in a user interface. The token query parameter can correspond to a system query parameter, such as a query command, a function, etc., or to a user query parameter. The system can identify a tenant of a distributed data intake and query system that is associated with the query. Based on the token query parameter, the system can identify at least one query parameter associated with the tenant. The at least one query parameter can include one or more query parameters previously entered by the user or other users of the tenant, etc. The system can cause the user interface to display one or more recommended query parameters for inclusion in the query.

    Recommending query parameters based on tenant information

    公开(公告)号:US12093318B2

    公开(公告)日:2024-09-17

    申请号:US17811821

    申请日:2022-07-11

    Applicant: Splunk Inc.

    CPC classification number: G06F16/90328 G06F16/9035 G06F40/205

    Abstract: Systems and methods are disclosed for recommending query parameters to a user based on tenant information. The system can identify a token query parameter from a portion of a query entered in a user interface. The token query parameter can correspond to a system query parameter, such as a query command, a function, etc., or to a user query parameter. The system can identify a tenant of a distributed data intake and query system that is associated with the query. Based on the token query parameter, the system can identify at least one query parameter associated with the tenant. The at least one query parameter can include one or more query parameters previously entered by the user or other users of the tenant, etc. The system can cause the user interface to display one or more recommended query parameters for inclusion in the query.

    Recommending query parameters based on tenant information

    公开(公告)号:US11386158B1

    公开(公告)日:2022-07-12

    申请号:US16513545

    申请日:2019-07-16

    Applicant: Splunk Inc.

    Abstract: Systems and methods are disclosed for recommending query parameters to a user based on tenant information. The system can identify a token query parameter from a portion of a query entered in a user interface. The token query parameter can correspond to a system query parameter, such as a query command, a function, etc., or to a user query parameter. The system can identify a tenant of a distributed data intake and query system that is associated with the query. Based on the token query parameter, the system can identify at least one query parameter associated with the tenant. The at least one query parameter can include one or more query parameters previously entered by the user or other users of the tenant, etc. The system can cause the user interface to display one or more recommended query parameters for inclusion in the query.

Patent Agency Ranking