Generation of a data model for searching machine data

US8983994B2 · kind B2 · utility

Assignee

• Splunk Inc. · US

Inventors

• Alice Emily Neels · Berkeley, US
• Archana Sulochana Ganapathi · Palo Alto, US
• Marc Vincent Robichaud · San Francisco, US
• Stephen Phillip Sorkin · San Francisco, US
• Steve Yu Zhang · San Francisco, US

Key dates

• Filing date: Oct 30, 2013
• Grant date: Mar 17, 2015
• Expiry date: Oct 30, 2033

Classification

• Technology area (CPC G): Physics
• CPC primary: G06F40/186
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

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.