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:
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:
A method, system, and processor-readable storage medium are directed towards generating a report derived from data, such as event data, stored on a plurality of distributed nodes. In one embodiment the analysis is generated using a “divide and conquer” algorithm, such that each distributed node analyzes locally stored event data while an aggregating node combines these analysis results to generate the report. In one embodiment, each distributed node also transmits a list of event data references associated with the analysis result to the aggregating node. The aggregating node may then generate a global ordered list of data references based on the list of event data references received from each distributed node. Subsequently, in response to a user selection of a range of global event data, the report may dynamically retrieve event data from one or more distributed nodes for display according to the global order.
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:
Embodiments are directed are towards the parallelization of collection queries. A method of parallelizing collection queries comprises providing a field searchable data store comprising a plurality of field searchable time stamped event records. The method further comprises receiving, at a search head, a collection query that references a field name that identifies portions of one or more event records to be summarized. Further, the method comprises determining if the collection query can be concurrently executed on a first plurality of indexers, wherein the search head is configured to communicate with the first plurality of indexers, and wherein each indexer of the first plurality of indexers comprises one or more field searchable time stamped event records. Responsive to an affirmative determination, the method also comprises determining a second plurality of indexers relevant to the collection query and executing the collection query to generate a respective summarization table at each indexer.
Abstract:
Embodiments of the present invention are directed to identifying related data, in particular, data associated with different source types. In embodiments, a first source type related to a second source type associated with a search query is identified. Field set pairs are identified from a first data set associated with the first source type and a second data set associated with the second source type. Each field set pair can include one field set associated with the first source type and another field set associated with the second source type. For each field set pair, an extent of similarity is determined between the corresponding field sets. Based on the extent of similarities between the corresponding field sets, at least one pair of related field sets is identified. An indication of the at least one pair of related field sets is provided, for example, for presentation to a user.
Abstract:
Embodiments of the present invention are directed to identifying and providing related data field sets. In one embodiment, a first portion of a graphical user interface (GUI) configured to receive a search query is displayed. The GUI enables user interaction to specify a source type in association with the search query. In accordance with a first source type specified in the search query, a first field set associated with the first source type is identified as related to a second field set associated with a second source type. A second portion of the GUI is displayed that includes a relationship indication that indicates the first field set associated with the first source type is related to the second field set associated with a second source type. Further, a third portion of the GUI is displayed that includes an explanation or recommendation associated with the relationship indication.
Abstract:
Embodiments are directed are towards the parallelization of collection queries. A method of parallelizing collection queries comprises providing a field searchable data store comprising a plurality of field searchable time stamped event records. The method further comprises receiving, at a search head, a collection query that references a field name that identifies portions of one or more event records to be summarized. Further, the method comprises determining if the collection query can be concurrently executed on a first plurality of indexers, wherein the search head is configured to communicate with the first plurality of indexers, and wherein each indexer of the first plurality of indexers comprises one or more field searchable time stamped event records. Responsive to an affirmative determination, the method also comprises determining a second plurality of indexers relevant to the collection query and executing the collection query to generate a respective summarization table at each indexer.
Abstract:
Embodiments are directed are towards the transparent summarization of events. Queries directed towards summarizing and reporting on event records may be received at a search head. Search heads may be associated with one more indexers containing event records. The search head may forward the query to the indexers the can resolve the query for concurrent execution. If a query is a collection query, indexers may generate summarization information based on event records located on the indexers. Event record fields included in the summarization information may be determined based on terms included in the collection query. If a query is a stats query, each indexer may generate a partial result set from previously generated summarization information, returning the partial result sets to the search head. Collection queries may be saved and scheduled to run and periodically update the summarization information.
Abstract:
Embodiments are directed are towards the transparent summarization of events. Queries directed towards summarizing and reporting on event records may be received at a search head. Search heads may be associated with one more indexers containing event records. The search head may forward the query to the indexers the can resolve the query for concurrent execution. If a query is a collection query, indexers may generate summarization information based on event records located on the indexers. Event record fields included in the summarization information may be determined based on terms included in the collection query. If a query is a stats query, each indexer may generate a partial result set from previously generated summarization information, returning the partial result sets to the search head. Collection queries may be saved and scheduled to run and periodically update the summarization information.