Abstract: Systems and methods are disclosed for processing and executing queries against one or more dataset. As part of processing the query, the system determines whether the query is susceptible to a significantly imbalanced partition. In the event, the query is susceptible to an imbalanced partition, the system monitors the query and determines whether to perform a multi-partitioning determination to avoid a significantly imbalanced partition.

Abstract: Systems and methods are disclosed for processing queries against one or more dataset sources. The system tracks query resource data and resource utilization data. The query-resource usage data can indicate resources used to execute queries. The node resource utilization data can indicate current utilization of nodes in the system. Upon receipt of a query that identifies a set of data to be processed and a manner of processing the set of data, the system can use the query-resource usage data and the resource utilization data to define a query processing scheme. The query can then be executed using the query processing scheme. In some cases, the query coordinator can dynamically allocate partitions operating on worker nodes to execute the query.

Abstract: The disclosed embodiments include a method performed by a data intake and query system to store and query metrics data. The method includes ingesting metrics, where each metric includes key values and numerical value indicative of a measured characteristic of a computing resource. The method further includes populating a first portion of a metric-series index (msidx) file with the key values and a second portion of the msidx file with numerical values indicative of a measured characteristic, where the first portion is distinct from the second portion. The method further includes receiving a query including criteria, evaluating the query by applying the criteria to the first portion of the msidx file to obtain query results indicative of metrics that satisfy the criteria, and displaying, on a display device, the query results or data indicative of the query results.

Abstract: The disclosed embodiments include a method performed by a data intake and query system to store and query metrics data. The method includes ingesting metrics, where each metric includes key values and numerical value indicative of a measured characteristic of a computing resource. The method further includes populating a first portion of a metric-series index (msidx) file with the key values and a second portion of the msidx file with numerical values indicative of a measured characteristic, where the first portion is distinct from the second portion. The method further includes receiving a query including criteria, evaluating the query by applying the criteria to the first portion of the msidx file to obtain query results indicative of metrics that satisfy the criteria, and displaying, on a display device, the query results or data indicative of the query results.

Abstract: The disclosed embodiments include techniques for exporting partial search results in parallel from peer indexers of a data intake and query system to the worker nodes. In particular, partial search results (e.g., time-indexed events) obtained from peer indexers can be exported in parallel from the peer indexers to worker nodes. Exporting the partial search results from the peer indexers in parallel can improve the rate at which the partial search results are transferred to the worker nodes for subsequent combination with partial search results of the external data systems. As such, the rate at which the search results of a search query can be obtained from the distributed data system can be improved by implementing parallel export techniques.

Abstract: The disclosed embodiments include techniques for organizing and presenting search results obtained from within a big data ecosystem via a data intake and query system. In particular, a data intake and query system may cause output of the search results or data indicative of the search results on a display device.

Abstract: The disclosed embodiments include a technique to obtain search results from the application of transformation operations on partial search results obtained from across internal and/or external data sources. Examples of transformation operations include arithmetic operations such as an average, mean, count, or the like. Examples of reporting transformations include join operations, statistics, sort, top head. Hence, the search results of a search query can be derived from partial search result rather than include the actual partial search results. In this case, the ordering of the search results may be nonessential. An example of a search query that requires a transformation operation is a “batch” or “reporting” search query. The related disclosed techniques involve obtaining data stored in the bid data ecosystem, and returning that data or data derived from that data.

Abstract: The disclosed embodiments include a method performed by a data intake and query system. The method includes receiving a search query by a search head, defining a search process for applying the search query to indexers, delegating a first portion of the search process to indexers and a second portion of the search process to intermediary node(s) communicatively coupled to the search head and the indexers. The first portion can define a search scope for obtaining partial search results of the indexers and the second portion can define operations for combining the partial search results by the intermediary node(s) to produce a combination of the partial search results. The search head then receives the combination of the partial search results, and outputs final search results for the search query, where the final search results are based on the combination of the partial search results.

Abstract: The disclosed embodiments include techniques to obtain ordered search results based on partial search results from across multiple diverse internal and/or external data sources. The ordering of the search results may be with respect to a parameter associated with the partial search results. An example of a parameter includes time. As such, the disclosed technique can provide a time-ordered search result based on partial search results obtained from across multiple internal and/or external data sources. Moreover, the disclosed technique can provide time-ordered search results regardless of whether the partial search results obtained from the diverse data sources are timestamped.

Abstract: The disclosed embodiments include a method performed by a data intake and query system. The method includes receiving a search query by a search head, defining a search process for applying the search query to indexers, delegating a first portion of the search process to indexers and a second portion of the search process to intermediary node(s) communicatively coupled to the search head and the indexers. The first portion can define a search scope for obtaining partial search results of the indexers and the second portion can define operations for combining the partial search results by the intermediary node(s) to produce a combination of the partial search results. The search head then receives the combination of the partial search results, and outputs final search results for the search query, where the final search results are based on the combination of the partial search results.

Abstract: Disclosed is a technique that can be performed in a distributed computer network. The technique can include a data index and query system that receives search query, defines a search scheme for applying the search query on distributed data storage systems including an internal data storage system of the data index and query system and an external data storage system. The internal data storage system stores data as time-indexed events including respective segments of raw machine data. The data index and query system can transfer a portion of the search scheme to a search service, which can return search results obtained by application of the search scheme to the distributed data storage systems including the internal data storage system and the external data storage system. Lastly, the search results or data indicative of the search results can be output on a display device to the user.

Abstract: Disclosed is a technique that can be performed in a distributed computer network. The technique can include a data index and query system that receives a search query and defines a search scheme for applying the search query on distributed data storage systems including an internal data storage system of the data intake and query system and an external data storage system communicatively coupled to the data intake and query system over a network. The data index and query system communicates at least a portion of the search scheme to a search service for application on behalf of the data intake and query system, receives from the search service a search result of the search query obtained by application of the search scheme to the distributed data storage systems, and causes the search result or data indicative thereof to be displayed on a display device.

Abstract: Disclosed is a technique that can be performed in a distributed network. The technique can include a search service system that receives an indication of at least a portion of a search scheme to cause worker nodes to obtain search results from distributed data storage systems. The search scheme is defined by a data intake and query system. The search service system defines a search process based on the at least a portion of the search scheme and executes the search process to cause the worker nodes to obtain search results from the distributed data storage systems. The search service system receives a combination of search results based on the search results obtained by the worker nodes from the distributed data storage systems, and causes an output based on the combination of search results obtained by the data intake and query system in accordance with the search scheme.

Abstract: Disclosed is a technique that can be performed in a distributed computer network. The technique can include a worker node that receives search instructions defined by a search service based on at least a portion of a search scheme defined by a data intake and query system, to cause the worker node to obtain search results from distributed data storage systems communicatively coupled to the worker node over a network. The distributed data storage systems include an external data storage system and/or an internal data storage system of the data intake and query system. The worker node obtains the search results by searching the distributed data storage systems in accordance with the search instructions, and communicating, over the network to the search service, a combination of search results based on the search results to cause an output by the data intake and query system in accordance with the search scheme.

Abstract: The disclosed embodiments include a technique to obtain search results from the application of transformation operations on partial search results obtained from across internal and/or external data sources. Examples of transformation operations include arithmetic operations such as an average, mean, count, or the like. Examples of reporting transformations include join operations, statistics, sort, top head. Hence, the search results of a search query can be derived from partial search result rather than include the actual partial search results. In this case, the ordering of the search results may be nonessential. An example of a search query that requires a transformation operation is a “batch” or “reporting” search query. The related disclosed techniques involve obtaining data stored in the bid data ecosystem, and returning that data or data derived from that data.

Abstract: Disclosed is a technique that can be performed in a distributed computer network. The technique can include a data index and query system that receives search query, defines a search scheme for applying the search query on distributed data storage systems including an internal data storage system of the data index and query system and an external data storage system. The internal data storage system stores data as time-indexed events including respective segments of raw machine data. The data index and query system can transfer a portion of the search scheme to a search service, which can return search results obtained by application of the search scheme to the distributed data storage systems including the internal data storage system and the external data storage system. Lastly, the search results or data indicative of the search results can be output on a display device to the user.

Abstract: The disclosed embodiments include techniques for organizing and presenting search results obtained from within a big data ecosystem via a data intake and query system. In particular, a data intake and query system may cause output of the search results or data indicative of the search results on a display device.

Abstract: The disclosed embodiments include techniques for exporting partial search results in parallel from peer indexers of a data intake and query system to the worker nodes. In particular, partial search results (e.g., time-indexed events) obtained from peer indexers can be exported in parallel from the peer indexers to worker nodes. Exporting the partial search results from the peer indexers in parallel can improve the rate at which the partial search results are transferred to the worker nodes for subsequent combination with partial search results of the external data systems. As such, the rate at which the search results of a search query can be obtained from the distributed data system can be improved by implementing parallel export techniques.

Abstract: The disclosed embodiments include techniques to obtain ordered search results based on partial search results from across multiple diverse internal and/or external data sources. The ordering of the search results may be with respect to a parameter associated with the partial search results. An example of a parameter includes time. As such, the disclosed technique can provide a time-ordered search result based on partial search results obtained from across multiple internal and/or external data sources. Moreover, the disclosed technique can provide time-ordered search results regardless of whether the partial search results obtained from the diverse data sources are timestamped.

Abstract: Systems and methods are disclosed for processing and executing queries against one or more dataset. As part of processing the query, the system determines whether the query is susceptible to a significantly imbalanced partition. In the event, the query is susceptible to an imbalanced partition, the system monitors the query and determines whether to perform a multi-partitioning determination to avoid a significantly imbalanced partition.