Splunk Inc.

Tameem Anwar

Alexandros Batsakis

Sai Krishna Sajja

Igor Stojanovski

Eric Timothy Woo

Tianyi Gou

Sourav Pal

Steve Wong

Ashish Mathew

Zhenghui Xie

Anish Shrigondekar

Ruochen Zhang

Jiahan Wang

Mehul Goyal

Sophia Rui Zhu

Douglas Rapp

Abhinav Prasad Nekkanti

Arindam Bhattacharjee

Vishal Patel

Bharath Kishore Reddy Aleti

Hasan Alayli

Paul J Lucas

James Monschke

Kartheek Babu Kolla

Srinivas Bobba

Kai-Sern Lim

Sai Krishna

Christopher Madden Pride

Systems and methods are disclosed for processing and executing queries in a data intake and query system. The data intake and query system receives raw machine data at an indexing system, and stores at least a portion of the raw machine data in buckets using containerized indexing nodes instantiated in a containerized environment. The data intake and query system stores the buckets in a shared storage system.

Processing data using nodes in a scalable environment

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

A data intake and query system can manage the search of large amounts of data using one or more processing nodes. When a new processing node is added or becomes available, the node coordinator can reassign duties from one or more processing nodes to the new processing node. The node coordinator can initially assign the new processing node one or more groups of data for backup purposes. At a later time, the node coordinator can reassign the new processing node to the one or more groups of data for searching purposes.

Reassigning a processing node from downloading to searching a data group

Systems and methods are described for monitoring indexing nodes, populating and maintaining a resource catalog with relevant information, receiving requests for indexing node availability or assignments, identifying indexing nodes that are available to process data, and/or communicating information relating to available indexing nodes. The system can maintain the resource catalog based on communications with each of the containerized indexing nodes. The system can receive, from a partition manager of a data intake and query system, a request for a containerized indexing node that the partition manager can assign to process data received by the partition manager. The system can identify an available containerized indexing node to process the data. The system can communicate, to the partition manager, an indexing node identifier associated with the available containerized indexing node.

Identifying an indexing node to process data using a resource catalog

Systems and methods are disclosed for scalable bucket merging in a data intake and query system. Various components of a bucket manager can be used to monitor recently-created buckets of data in common storage that are associated with a particular tenant and a particular index, apply a comprehensive bucket merge policy to determine groups of buckets that qualify for merging, merge those group of buckets into merged buckets to be stored in the common storage, and update any information associated with the merged buckets and pre-merged buckets. These components may be shared across multiple tenants, and some of these components may be dynamically scalable based on need. This approach may also provide many additional benefits, including improved search performance from merged buckets, efficient resource utilization associated with discriminate merging, and redundancy in case of component failure.

Bucket merging for a data intake and query system using size thresholds

Reassigning data groups from backup to searching for a processing node

Systems and methods are disclosed for processing and executing queries in a data intake and query system. An indexing system of the data intake and query system receives data and stores at least a portion of it in buckets, which are then stored in a shared storage system. The indexing system merges multiple buckets to generate merged buckets and uploads the merged buckets to the shared storage system.

Merging buckets in a data intake and query system

Systems and methods are described for processing incoming data. The system can receive, from a first partition manager of a data intake and query system, first data that is associated with a first identifier, and can receive, from a second partition manager of the data intake and query system, second data that is associated with a second identifier. The system can process the first data and store first results of said processing the first data in one or more first buckets associated with the first tenant identifier. The system can process the second data and store second results of said processing the second data in one or more second buckets associated with the second tenant identifier.

Processing data associated with different tenant identifiers

Scalable bucket merging for a data intake and query system

Systems and methods are disclosed for processing and executing queries in a data intake and query system. An indexing system of the data intake and query system receives data from an ingestion buffer that includes a marker that indicates data that is made available to the indexing system. The data intake and query system stores at least a portion of the data in buckets and stores the buckets in a shared storage system. Based on the storage of the buckets in the shared storage system, the indexing system indicates to the ingestion buffer that the marker can be updated.

Updating a location marker of an ingestion buffer based on storing buckets in a shared storage system

Processing data using containerized state-free indexing nodes in a containerized scalable environment

Growing community of inventors

South San Francisco, CA, United States of America

Tameem Anwar