Splunk Inc.

Ganesh Jothikumar

Alexander Douglas James

Bei Li

Amy Joanna Sutedja

Vinayak Bhakta

Andrew Peters

Arthur Foelsche

Ricky Gene Burnett

Daniel Ferstay

Venkatasubramanian Jayaraman

Ankur Dalsukhbhai Bambharoliya

Salih Ammar Wajih Zainulabdeen

Jengie Shau

Systems and methods are disclosed for receiving, at query coordinator, a search query. The query coordinator parses the search query and generates tasks for different runtime systems. The query coordinator configures an interface enabling inter system communication between the runtime systems. The generated tasks are distributed to the runtime systems and partial results of a runtime system are communicated to the interface. The query coordinator retrieves the partial results from the interface, finalizes the partial results, and sends finalized results them to the requestor of the search query.

Runtime systems query coordinator

Systems and methods are described for implementing programmatic input/output (I/O) routing to datasets with user-defined partitions while providing unhandled data protection. As disclosed herein, a user may define a dataset as including one or more partitions, each partition including criteria for storing data objects written to the partitioned dataset in the individual partitions. Data objects written to the dataset can then be evaluated according to the criteria, and routed to an appropriate partition. To provide unhandled data protection, a dataset definition can include a default partition to which data objects are routed when the data object fails to satisfy the criteria of any of the set of user-defined partitions identified in the specification. Processing I/O operations according to a user-defined partitioning schema can enable data objects to be arranged according to any partitioning schema without tethering the partitioning to a particular underlying storage system.

Unhandled data protection for programmatic input/output routing to datasets with user-defined partitions

Systems and methods are described for providing previews of deployment of data stream processing instructions sets, sometimes called pipelines, to a stream data processing system. Rather than deploying such an instruction set, which may cause detrimental side effects, previews can be facilitated by conversion of a data stream processing instructions set to a batch query that is applied to an existing data set. An output of the batch query can then be provided to an end user as a preview of output of the data stream processing instructions set, when implemented.

Data stream processing instruction set previews using batch conversion

Growing community of inventors

Los Altos, CA, United States of America

Ganesh Jothikumar