Abstract: Systems and methods are described for processing ingested data in an asynchronous manner as the data is being ingested to detect potential anomalies. For example, one or more streaming data processors can convert data as the data is ingested into a comparable data structure, determine whether the comparable data structure should be assigned to an existing data pattern or a new data pattern, and optionally update a characteristic of the data pattern to which the comparable data structure is assigned. The streaming data processor(s) can perform these operations automatically in real-time or in periodic batches. Once one or more comparable data structures have been assigned to one or more data patterns, the streaming data processor(s) can analyze the comparable data structures assigned to a particular data pattern to determine whether any of the comparable data structures appear to be anomalous.

Abstract: Systems and methods are disclosed for assigning a global parameter to one or more queries present in a single graphical user interface (GUI) displayed in a client browser. The client browser causes the display of a first user interface field in a first area of the GUI, where the first user interface field can be used to enter or edit a first query. The client browser further causes the display of a second user interface field in a second area of the GUI, where the second user interface field can be used to enter or edit a second query. The client browser also receives a selection of a global parameter, applies the global parameter to the first and second queries, receives a modification to the global parameter for the second query, and causes execution of the first query using the global parameter and of the second query using the modification.

Abstract: Systems and methods are disclosed for allowing a user to view query results associated with a time range that is different from a time range indicated by a query. For example, a user interface (UI) data manager can receive a request for a panel of a workbook with a query that identifies the first time range. The UI data manager can obtain the panel, including the query and query results, and cause display of a panel view corresponding to the panel. The displayed query results may not correspond to the same time range as the literal time range indicated by the query. Rather, the query results may be the query results generated during an earlier time range that corresponds to the last time the query was run.

Abstract: Systems and methods are described for processing ingested data in an asynchronous manner as the data is being ingested to detect potential anomalies. For example, one or more streaming data processors can convert data as the data is ingested into a comparable data structure, determine whether the comparable data structure should be assigned to an existing data pattern or a new data pattern, and optionally update a characteristic of the data pattern to which the comparable data structure is assigned. The streaming data processor(s) can perform these operations automatically in real-time or in periodic batches. Once one or more comparable data structures have been assigned to one or more data patterns, the streaming data processor(s) can analyze the comparable data structures assigned to a particular data pattern to determine whether any of the comparable data structures appear to be anomalous.

Abstract: Systems and methods are disclosed for allowing a user to perform various actions in association with a panel. For example, a user interface (UI) data manager can cause display of, as part of a panel view associated with a panel, a user interface field that includes a query and a first display object that includes query results generated as a result of execution of the query. In response to a user input, the UI data manager can further cause display of a second display object that provides the user with a list of actions that can be performed in association with the panel. If a user selects an action, the UI data manager can perform the action and cause display of results of the action in the panel view. The UI data manager can further associate the results of the action with the panel corresponding to the panel view.

Abstract: Systems and methods are disclosed for performing multiple queries in a single graphical user interface (GUI) displayed in a client browser. The client browser causes the display of a first user interface field in a first area of the GUI, where the first user interface field can be used to enter or edit a first query. The client browser also causes first query results generated by a data intake and query system executing the first query to be displayed in the first area. The client browser further causes the display of a second user interface field in a second area of the GUI, where the second user interface field can be used to enter or edit a second query. The client browser also causes second query results generated by the data intake and query system executing the second query to be displayed in the second area.

Abstract: Systems and methods are disclosed for performing multiple queries in a single graphical user interface (GUI) displayed in a client browser. The client browser causes the display of a first user interface field in a first area of the GUI, where the first user interface field can be used to enter or edit a first query. The client browser also causes first query results generated by a data intake and query system executing the first query to be displayed in the first area. The client browser further causes the display of a second user interface field in a second area of the GUI, where the second user interface field can be used to enter or edit a second query. The client browser also causes second query results generated by the data intake and query system executing the second query to be displayed in the second area.

Abstract: Systems and methods are disclosed for allowing a user to iteratively build a query. For example, a user interface (UI) data manager can obtain a child query entered or selected by a user. The child query may be a child query to a parent query, such that execution of the child query relies on the query results of the parent query. The UI data manager can associate an identifier corresponding to the query results of the parent query with the child query, and cause a data intake and query system to execute the second query using the identifier. The UI data manager can then instruct a client browser to display the query results provided by the data intake and query system in a graphical user interface (GUI) in an area separate from an area that displays the query results of the parent query.

Abstract: A modular visualization framework registers definitions for a variety of visualization types. The definitions are tagged with visualization characteristics. During a working session, likely interactive, a user identifies a search query used to produce data to be visualized. The working context, including the search query and data produced by its execution, is tagged for its visualization characteristics. Information about the working context, including its visualization characteristics, is then used to produce a customized list of candidates suited for the working context from which the user may select a visualization type.

Abstract: Systems and methods are described for processing ingested data in an asynchronous manner as the data is being ingested to detect potential anomalies. For example, one or more streaming data processors can convert data as the data is ingested into a comparable data structure, determine whether the comparable data structure should be assigned to an existing data pattern or a new data pattern, and optionally update a characteristic of the data pattern to which the comparable data structure is assigned. The streaming data processor(s) can perform these operations automatically in real-time or in periodic batches. Once one or more comparable data structures have been assigned to one or more data patterns, the streaming data processor(s) can analyze the comparable data structures assigned to a particular data pattern to determine whether any of the comparable data structures appear to be anomalous.

Abstract: Disclosed are a system and a method for providing user-interactive flow diagrams such as Sankey diagrams. In an embodiment, a machine data search and analysis system retrieves search results including a plurality of events in response to a search query, each of the events containing time-stamped data. The system identifies a plurality of nodes based on the time-stamped data of the events. Each of the events is indicative of a relationship between a starting node and an ending node. The system further causes display of an interactive flow diagram that includes the nodes and a plurality of flows. Each of the flows represents events that share a common relationship between a starting node and an ending node and visually connecting the starting node and the ending node.

Abstract: Disclosed are a system and a method for providing user-interactive parallel coordinates charts. In an embodiment, a machine data search and analysis system retrieves search results including a plurality of events, each of the events containing time-stamped data in response to a search query. The system identifies a plurality of characteristics from the data corresponding to the events. The system causes display of a multiple-dimensional chart (e.g., a parallel coordinates chart) depicting the data corresponding to the events. The multiple-dimensional chart includes a plurality of axes. Each of the axes corresponds to one of the identified characteristics. The multiple-dimensional chart further includes a plurality of poly lines representing the events. Each of the poly lines includes a plurality of vertices on the axes.

Abstract: Disclosed are a system and a method for providing user-interactive diagrams. In an embodiment, a machine data search and analysis system retrieving search results including a plurality, of events, in response to a search query. The system identifies a first characteristic type from data of the plurality of events as a horizontal dimension of a multidimensional chart, and a second characteristic type from the retrieved data as a vertical dimension of the multi-dimensional chart. The system causes display of the multi-dimensional chart indicative of the data of the plurality of events. The multi-dimensional chart includes a table of a plurality of objects. Each object of the plurality of objects represents one or more events that share a common value of the first characteristic type and share a common value of the second characteristic type.

Abstract: Disclosed are a system and a method for providing user-interactive parallel coordinates charts. In an embodiment, a machine data search and analysis system retrieves search results including a plurality of events, each of the events containing time-stamped data in response to a search query. The system identifies a plurality of characteristics from the data corresponding to the events. The system causes display of a multiple-dimensional chart (e.g., a parallel coordinates chart) depicting the data corresponding to the events. The multiple-dimensional chart includes a plurality of axes. Each of the axes corresponds to one of the identified characteristics. The multiple-dimensional chart further includes a plurality of poly lines representing the events. Each of the poly lines includes a plurality of vertices on the axes.

Abstract: Disclosed are a system and a method for providing user-interactive diagrams. In an embodiment, a machine data search and analysis system retrieving search results including a plurality of events, in response to a search query. The system identifies a first characteristic type from data of the plurality of events as a horizontal dimension of a multidimensional chart, and a second characteristic type from the retrieved data as a vertical dimension of the multi-dimensional chart. The system causes display of the multi-dimensional chart indicative of the data of the plurality of events. The multi-dimensional chart includes a table of a plurality of objects. Each object of the plurality of objects represents one or more events that share a common value of the first characteristic type and share a common value of the second characteristic type.

Abstract: Disclosed are a system and a method for providing user-interactive flow diagrams such as Sankey diagrams. In an embodiment, a machine data search and analysis system retrieving search results including a plurality of events, in response to a search query. The system identifies a first characteristic type from data of the plurality of events as a horizontal dimension of a multi-dimensional chart, and a second characteristic type from the retrieved data as a vertical dimension of the multi-dimensional chart. The system causes display of the multi-dimensional chart indicative of the data of the plurality of events. The multi-dimensional chart includes a table of a plurality of objects. Each object of the plurality of objects represents one or more events that share a common value of the first characteristic type and share a common value of the second characteristic type.

Abstract: Disclosed are a system and a method for providing user-interactive parallel coordinates charts. In an embodiment, a machine data search and analysis system retrieves search results including a plurality of events, each of the events containing time-stamped data in response to a search query. The system identifies a plurality of characteristics from the data corresponding to the events. The system causes display of a multiple-dimensional chart (e.g., a parallel coordinates chart) depicting the data corresponding to the events. The multiple-dimensional chart includes a plurality of axes. Each of the axes corresponds to one of the identified characteristics. The multiple-dimensional chart further includes a plurality of polylines representing the events. Each of the polylines includes a plurality of vertices on the axes.

Abstract: A modular visualization framework registers definitions for a variety of visualization types. The definitions are tagged with visualization characteristics. During a working session, likely interactive, a user identifies a search query used to produce data to be visualized. The working context, including the search query and data produced by its execution, is tagged for its visualization characteristics. Information about the working context, including its visualization characteristics, is then used to produce a customized list of candidates suited for the working context from which the user may select a visualization type.