Splunk Inc.

Splunkinc.

Other

Marc Vincent Robichaud

Cory Eugene Burke

Jesse Brandau Miller

Jeffrey Thomas Lloyd

Divanny I Lamas

Katherine Kyle Feeney

Alice Emily Neels

Matthew G Ness

Clara Elizabeth Lee

Steve Yu Zhang

Alexander Douglas James

Stephen Phillip Sorkin

Archana Sulochana Ganapathi

Micah James Delfino

David Carasso

Carl S Yestrau

Simon Foster Fishel

Sundar Vasan

Andrew E Robbins

Nicholas John Filippi

Abhinav Prasad Nekkanti

Catherine Anne Hanson

Irina Korobova

Adam Jamison Oliner

Jacob Barton Leverich

Elizabeth Ann Dykstra-Erickson

Brian Krueger

Carl Sterling Yestrau

Jesse Miller

Cory Eugene Eugene Burke

Clara E Lee

An event limited field picker for a search user interface is described. In one or more implementations, a service may operate to collect and store data as events each of which includes a portion of the data correlated with a point in time. Clients may use a search user interface perform searches by input of search criteria. Responsive to receiving search criteria, the service may operate to apply a late binding schema to extract events that match the search criteria and provide search results for display via the search user interface. The search user interface exposes an event limited field picker operable to make selections of fields with respect to individual events in a view of the search results. In response to receiving an indication of a fields selected via the picker, visibility of selected fields may be updated to control which field and values are included in different views.

Interaction with a field sidebar for field information panel display

A search interface is displayed in a table format that includes a plurality of columns, each column including data items of an event attribute, the data items being of a set of events, each column being selectable by a user, and a plurality of rows forming cells with the one or more columns, each cell comprising one or more of the data items of the event attribute of a corresponding column. Based on the user selecting one or more of the columns, a list of options is displayed corresponding to the selected one or more columns, and one or more commands are added to a search query that corresponds to the set of events. The one or more commands are based on at least an option that is selected from the list of options and the event attribute of each of the selected one or more columns.

Column-based contextual menu with form element to add commands to a search query

A search interface is displayed in a table format that includes one or more columns, each column including data items of an event attribute, the data items being of a set of events, and a plurality of rows forming cells with the one or more columns, each cell including one or more of the data items of the event attribute of a corresponding column. Based on a user selecting one or more of the cells, a list of options if displayed corresponding to the selection, and one or more commands are added to a search query that corresponds to the set of events, the one or more commands being based on at least an option that is selected from the list of options and the event attribute for each of the one or more of the data items of each of the selected one or more cells.

Cell-based table manipulation of event data to generate search commands

In embodiments of field value search drill down, a search system exposes a search interface that displays one or more events returned as a search result set. A field-value pair can be emphasized in the field-value pairs of an event displayed in the search interface, and a menu is displayed with search options that are selectable to operate on the emphasized field-value pair of the event. The menu includes the search options to add search criteria of the emphasized field-value pair to a search command in a search bar of the search interface, exclude the search criteria of the emphasized field-value pair from a search, or create a new data search based on the emphasized field-value pair. A selection of one of the search options in the menu can be received, and the search command in the search bar is updated based on the search option that is selected.

Presenting events based on selected search option

A method includes displaying events that correspond to search results of a search query, the events comprising data items of event attributes, the events displayed in a table. The table includes columns corresponding to an event attribute, rows corresponding events, cells populated data items, and interactive regions corresponding to at least one data item and selectable to add one or more commands to the search query. A reference event attribute is determined based on an analysis of a data object. A supplemental column corresponding to a supplemental event attribute is added to the table based on the reference event attribute. Supplemental interactive regions are added to the table and correspond to supplemental data items.

Providing supplemental values for events

In embodiments of statistics chart row mode drill down, a first interface is displayed in a table format that includes columns and rows, where each row is associated with an event and each column includes field for a respective event. The rows can further include one or more aggregated metrics representing a number of events associated with a respective row. A row can be emphasized in the first interface and, in response a menu can be displayed with selectable options to transition to a second interface, where the data displayed by the second interface is based on an option selected from the menu.

Drill down of statistics chart row

A method includes causing display to a user of at least one event of a first result set from a first pipelined search on events at an event source. Each event comprises a time stamp and a portion of machine data. A selection of a command is received from the user. The selection is to extend the first pipelined search with the selected command in a second pipelined search. The system selects between the first result set and the event source for execution of the second pipelined search based on an analysis of the selected command and at least one command of the first pipelined search. Based on the selecting being of the first result set, display to the user is caused of at least one event of a second result set from the execution of the second pipelined search on the first result set.

Analyzing a pipelined search to determine data on which to execute the pipelined search

A list of command entries is displayed in a search interface, each of the command entries representing one or more commands of a plurality of commands of a search query. The list of command entries are displayed in a sequence corresponding to the plurality of commands of the search query. Based on a user interaction with a designated command entry in the displayed list of command entries, the displayed list of command entries is modified with respect to the designated command. Furthermore, the search query is automatically modified with respect to the corresponding one or more commands represented by the designated command entry. The modification can include causing the designated command entry to be removed from or reordered in the displayed list of command entries and the automatic modification cam include causing the corresponding one or more commands to be removed from or reordered in the search query.

Adding a command entry to a command entry list

A method includes receiving, in a first query interface, a query composed by the user by typing commands into a query box of the first query interface and based on the receiving of the query, causing events corresponding to query results of the query to be displayed in the first query interface with fields corresponding to the events. Based on the selection by the user of an option, a second query interface is displayed with a table that includes events that correspond to query results of a loaded query. The table includes columns corresponding to event attributes, rows corresponding to events. Cells are populated with the data items of event attributes, where one of the columns corresponds to a field of the fields displayed in the first query interface. The table also includes interactive regions selectable by the user to add one or more commands to the loaded query.

Loading queries across interfaces

In some embodiments, a method may include display of a data summary view of a set of events that correspond to query results of a query. Each event of the set of events may include data items of a plurality of event attributes. In embodiments, the data summary view can include various summary reports. Each summary report can include summary entries and a summary graph that each present a summary of data items of a selected event attribute, of the plurality of event attributes. At least one summary report can include summary entries that are selectable by a user. The method may further include filtering the set of event, in response to, and based on, selection of one or more of the selectable summary entries by the user and updating of at least the first and second summary graphs to correspond to the filtered set of events.

Summarized view of search results with a panel in each column

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.

Using anchors to generate extraction rules

First one or more values are extracted from a plurality of events using a first extraction rule. The extracted first one or more values are assigned to a first field of the plurality of events as a first set of field-data item pairs and a field label is assigned to the first field. Second one or more values and a field label corresponding to the second one or more values are extracted from the plurality of the events using a second extraction rule, where the extracted field label corresponds to the assigned field label of the first field. The extracted second one or more values are assigned to a second field of the plurality of events as a second set of field-data item pairs, thereby distinguishing the extracted second one or more values from the extracted first one or more values.

Distinguishing between fields in field value extraction

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.

Data model selection and application based on data sources

Generating search commands based on selected search options

First one or more values are extracted from a plurality of events using a first extraction rule. The extracted first one or more values are assigned to a first field of the plurality of events as a first set of field-data item pairs. Second one or more values are extracted from the plurality of the events using a second extraction rule. The second extraction rule identifies the second one or more values and a field label corresponding to the second one or more values in the extracted first one or more values of the first set of field-data item pairs. The extracted second one or more values are assigned to a second field of the plurality of events as a second set of field-data item pairs. The field label extracted using the second extraction rule or a modified version thereof may be assigned to the second field.

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San Francisco, CA, United States of America

Marc Vincent Robichaud