Abstract:
Systems and methods are disclosed involving user interface (UI) search tools for locating data, including tools for summarizing indexed raw machine data that organize and present results to enable expansion and exploration of initial summarizations. The initial summarizations may be explored and refined to help users determine how to identify and best focus a search on data subsets of greater interest.
Abstract:
Systems and methods are disclosed involving user interface (UI) search tools for locating data, including tools for summarizing indexed raw machine data that organize and present results to enable expansion and exploration of initial summarizations. The initial summarizations may be explored and refined to help users determine how to identify and best focus a search on data subsets of greater interest.
Abstract:
Provided are systems and methods for concurrent summarization of indexed data. In some embodiments, two or more summary processes can be executed concurrently (e.g., in parallel) by an indexer to generate summaries for respective subsets of indexed data (e.g., partitions or buckets of indexed data) managed by the indexer.
Abstract:
Systems and methods are disclosed for locating data and categorizing a set of data using inverted indexes. The inverted indexes include token entries and field-value pair entries, as well as event references that correspond to events that include raw machine data. Using filter criteria, the inverted indexes are identified. In turn, the inverted indexes are used to identify a set of events that satisfy the filter criteria. The identified set of events are categorized based on categorization criteria and provided for display to a user.
Abstract:
Provided are systems and methods for concurrent summarization of indexed data. In some embodiments, two or more summary processes can be executed concurrently (e.g., in parallel) by an indexer to generate summaries for respective subsets of indexed data (e.g., partitions or buckets of indexed data) managed by the indexer.
Abstract:
Systems and methods are disclosed for locating data and categorizing a set of data using inverted indexes. The inverted indexes include token entries and field-value pair entries, as well as event references that correspond to events that include raw machine data. Using filter criteria, the inverted indexes are identified. In turn, the inverted indexes are used to identify a set of events that satisfy the filter criteria. The identified set of events are categorized based on categorization criteria and provided for display to a user.
Abstract:
Systems and methods are disclosed involving user interface (UI) search tools for locating data, including tools for summarizing indexed raw machine data that organize and present results to enable expansion and exploration of initial summarizations. The initial summarizations may be explored and refined to help users determine how to identify and best focus a search on data subsets of greater interest.
Abstract:
Provided are systems and methods for concurrent summarization of indexed data. In some embodiments, two or more summary processes can be executed concurrently (e.g., in parallel) by an indexer to generate summaries for respective subsets of indexed data (e.g., partitions or buckets of indexed data) managed by the indexer.
Abstract:
Systems and methods are disclosed involving user interface (UI) search tools for locating data, including tools for summarizing indexed raw machine data that organize and present results to enable expansion and exploration of initial summarizations. The initial summarizations may be explored and refined to help users determine how to identify and best focus a search on data subsets of greater interest.
Abstract:
Systems and methods are disclosed involving user interface (UI) search tools for locating data, including tools for summarizing indexed raw machine data that organize and present results to enable expansion and exploration of initial summarizations. The initial summarizations may be explored and refined to help users determine how to identify and best focus a search on data subsets of greater interest.