公开(公告)号：US11609913B1

公开(公告)日：2023-03-21

申请号：US17162536

申请日：2021-01-29

Applicant: Splunk Inc.

Inventor： Tameem Anwar ,  Alexandros Batsakis ,  Tianyi Gou ,  Mehul Goyal ,  Ashish Mathew ,  Douglas Rapp ,  Sai Krishna Sajja ,  Anish Shrigondekar ,  Igor Stojanovski ,  Eric Woo ,  Zhenghui Xie ,  Ruochen Zhang ,  Sophia Rui Zhu

IPC: G06F16/00 ,  G06F16/2455 ,  G06F16/248 ,  G06F16/2458

Abstract: 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.

公开(公告)号：US12019634B1

公开(公告)日：2024-06-25

申请号：US18123758

申请日：2023-03-20

Applicant: Splunk Inc.

Inventor： Tameem Anwar ,  Alexandros Batsakis ,  Tianyi Gou ,  Mehul Goyal ,  Ashish Mathew ,  Douglas Rapp ,  Sai Krishna Sajja ,  Anish Shrigondekar ,  Igor Stojanovski ,  Eric Woo ,  Zhenghui Xie ,  Ruochen Zhang ,  Sophia Rui Zhu

IPC: G06F16/00 ,  G06F16/2455 ,  G06F16/2458 ,  G06F16/248

CPC classification number: G06F16/24554 ,  G06F16/24552 ,  G06F16/2477 ,  G06F16/248

Abstract: 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.

公开(公告)号：US20220261385A1

公开(公告)日：2022-08-18

申请号：US17661510

申请日：2022-04-29

Applicant: Splunk Inc.

Inventor： Tameem Anwar ,  Tianyi Gou ,  Alexandros Batsakis ,  Abhinav Prasad Nekkanti ,  Sai Krishna Sajja ,  Jiahan Wang

IPC: G06F16/22

Abstract: 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.

公开(公告)号：US12164402B1

公开(公告)日：2024-12-10

申请号：US18162273

申请日：2023-01-31

Applicant: Splunk Inc.

Inventor： Zhenghui Xie ,  Igor Stojanovski ,  Kartheek Babu Kolla ,  Sai Krishna Sajja ,  Srinivas Chowdhary Bobba ,  Tianyi Gou ,  Kai-Sern Lim ,  Tameem Anwar

IPC: G06F11/30

Abstract: 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.

公开(公告)号：US11720537B2

公开(公告)日：2023-08-08

申请号：US17661510

申请日：2022-04-29

Applicant: Splunk Inc.

Inventor： Tameem Anwar ,  Tianyi Gou ,  Alexandros Batsakis ,  Abhinav Prasad Nekkanti ,  Sai Krishna Sajja ,  Jiahan Wang

IPC: G06F16/22 ,  G06F16/14 ,  G06F16/16

CPC classification number: G06F16/2228 ,  G06F16/14 ,  G06F16/16

Abstract: 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.

公开(公告)号：US11334543B1

公开(公告)日：2022-05-17

申请号：US16657924

申请日：2019-10-18

Applicant: Splunk Inc.

Inventor： Tameem Anwar ,  Tianyi Gou ,  Alexandros Batsakis ,  Abhinav Prasad Nekkanti ,  Sai Krishna Sajja ,  Jiahan Wang

IPC: G06F16/22 ,  G06F16/14 ,  G06F16/16

Abstract: 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.