公开(公告)号：US20200034414A1

公开(公告)日：2020-01-30

申请号：US16589445

申请日：2019-10-01

Applicant: SPLUNK INC.

Inventor： Jesse MILLER ,  Micah James DELFINO ,  Marc ROBICHAUD ,  David CARASSO

IPC: G06F17/24 ,  G06F16/2458

Abstract: The technology disclosed relates to formulating and refining field extraction rules that are used at query time on raw data with a late-binding schema. The field extraction rules identify portions of the raw data, as well as their data types and hierarchical relationships. These extraction rules are executed against very large data sets not organized into relational structures that have not been processed by standard extraction or transformation methods. By using sample events, a focus on primary and secondary example events help formulate either a single extraction rule spanning multiple data formats, or multiple rules directed to distinct formats. Selection tools mark up the example events to indicate positive examples for the extraction rules, and to identify negative examples to avoid mistaken value selection. The extraction rules can be saved for query-time use, and can be incorporated into a data model for sets and subsets of event data.

公开(公告)号：US20210174009A1

公开(公告)日：2021-06-10

申请号：US17169254

申请日：2021-02-05

Applicant: SPLUNK Inc.

Inventor： Jesse MILLER ,  Micah James DELFINO ,  Marc ROBICHAUD ,  David CARASSO

IPC: G06F40/174 ,  G06F16/2458

Abstract: The technology disclosed relates to formulating and refining field extraction rules that are used at query time on raw data with a late-binding schema. The field extraction rules identify portions of the raw data, as well as their data types and hierarchical relationships. These extraction rules are executed against very large data sets not organized into relational structures that have not been processed by standard extraction or transformation methods. By using sample events, a focus on primary and secondary example events help formulate either a single extraction rule spanning multiple data formats, or multiple rules directed to distinct formats. Selection tools mark up the example events to indicate positive examples for the extraction rules, and to identify negative examples to avoid mistaken value selection. The extraction rules can be saved for query-time use, and can be incorporated into a data model for sets and subsets of event data.