Splunk Inc.

Srinivas Bobba

Sourav Pal

Arindam Bhattacharjee

Wayne Patterson

Igor Stojanovski

Sai Krishna Sajja

Zhenghui Xie

Tameem Anwar

Tianyi Gou

Kartheek Babu Kolla

Kai-Sern Lim

A data intake and query system can manage the search of large amounts of data using one or more processing nodes. The data intake and query system can identify a group of processing nodes and assign a first processing node of the group to download and search a particular data group based on a first node map. The data intake and query system may identify an action associated with the first processing node. The data intake and query system can cause a particular processing node of the group to download the particular data group based on a second node map and transmit an authorization to perform the action to the first processing node.

Deactivating a processing node based on assignment of a data group assigned to the processing node

Systems and methods are described for distributed processing a query in a first query language utilizing a query execution engine intended for single-device execution. While distributed processing provides numerous benefits over single-device processing, distributed query execution engines can be significantly more difficult to develop that single-device engines. Embodiments of this disclosure enable the use of a single-device engine to support distributed processing, by dividing a query into multiple stages, each of which can be executed by multiple, concurrent executions of a single-device engine. Between stages, data can be shuffled between executions of the engine, such that individual executions of the engine are provided with a complete set of records needed to implement an individual stage. Because single-device engines can be significantly less difficult to develop, use of the techniques described herein can enable a distributed system to rapidly support multiple query languages.

Addressing memory limits for partition tracking among worker nodes

Systems and methods are described for assigning a processing task from one component of a data intake and query system to a different component of the data intake and query system. As part of processing a query, the system can determine that a particular processing task is to be executed by a particular component of the data intake and query system. Based on the characteristics of the component that is to execute the processing task, the system can assign the task or a supplemental task to one or more other components of the data intake and query system.

Assigning processing tasks in a data intake and query system

Systems and methods are described for partitioning and reducing records at ingest of a worker node. The worker node receives chunks of data from one or more indexers of a data intake and query system based on the execution of a query by the data intake and query system. The worker node assigns records to different record groups based on the content of the records. The system also assigns the record to a partition of a group of partitions. Record data of the records in a particular partition is combined. The system processes the partitions based on the query.

Partitioning and reducing records at ingest of a worker node

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Sunnyvale, CA, United States of America

Srinivas Bobba