Splunk Inc.

Cisco Technology, Inc.

Douglas Rapp

Alexandros Batsakis

Igor Stojanovski

Ashish Mathew

Mehul Goyal

Eric Timothy Woo

Anish Shrigondekar

Sai Krishna Sajja

Ruochen Zhang

Zhenghui Xie

Tianyi Gou

Sophia Rui Zhu

Tameem Anwar

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.

Reassignment of processing nodes

Reassigning a processing node from downloading to searching a data group

Systems and methods are described for improving data availability and/or resiliency of indexers of a data intake and query system. Due to a lag between the time at which data is received and the time at which the data is available for searching, the data intake and query system may receive a query indicating that received (but unavailable for search) data is to be included as part of the query. A cluster master can dynamically track what data is available for searching by different indexers and map the data to filter criteria using a bucket map identifier. When a search head receives a query, it can request a bucket map identifier from the cluster master and send the bucket map identifier to the indexers that will be executing the query. The indexers can use the bucket map identifier to request the individual buckets that they are assigned to search.

Mapping buckets and search peers to a bucket map identifier for searching

Reassigning data groups from backup to searching for a processing node

Systems and methods are described for improving data availability and/or resiliency of indexers of a data intake and query system. A data intake and query system can index large amounts of data using one or more indexers. An indexer can store a copy of the data that the indexer is assigned to process in the shared storage system, and a cluster master can track the storage of the data and the indexer assigned to process the data. In the event an indexer fails or is otherwise unable to index data that it has been assigned to index, the cluster master can assign one or more second indexers to process the data. The second indexer can download the data from the shared storage system.

Recovering pre-indexed data from a shared storage system following a failed indexer

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San Francisco, CA, United States of America

Douglas Rapp