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US Patent 11256719 Ingestion partition auto-scaling in a time-series database

Patent 11256719 was granted and assigned to Amazon on February, 2022 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Amazon
Amazon
Current Assignee
Amazon
Amazon
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11256719
Patent Inventor Names
Nabanita Maji0
Sen Yue0
Dumanshu Goyal0
Gaurav Gupta0
Gaurav Saxena0
Mustafa Ozan Ozen0
Date of Patent
February 22, 2022
Patent Application Number
16455591
Date Filed
June 27, 2019
Patent Citations
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US Patent 10956415 Generating a subquery for an external data system using a configuration file
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US Patent 10997137 Two-dimensional partition splitting in a time-series database
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US Patent 10977260 Task distribution in an execution node of a distributed execution environment
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US Patent 11023463 Converting and modifying a subquery for an external data system
0
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US Patent 11068537 Partition segmenting in a distributed time-series database
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US Patent 10007513 Edge intelligence platform, and internet of things sensor streams system
0
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US Patent 10400583 Methods and systems for spatial change indicator analysis
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US Patent 10896182 Multi-partitioning determination for combination operations
Patent Citations Received
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US Patent 11934409 Continuous functions in a time-series database
0
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US Patent 11593306 File defragmentation service
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US Patent 11537613 Merge small file consolidation
Patent Primary Examiner
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Mark E Hershley
Patent abstract

Methods, systems, and computer-readable media for ingestion partition auto-scaling in a time-series database are disclosed. A first set of one or more hosts divides elements of time-series data into a plurality of partitions. A second set of one or more hosts stores the elements of time-series data from the plurality of partitions into one or more storage tiers of a time-series database. An analyzer receives first data indicative of the resource usage of the time-series data at the first set of one or more hosts. The analyzer receives second data indicative of the resource usage of the time-series data at the second set of one or more hosts. Based at least in part on analysis of the first data and the second data, the analyzer initiates a split of an individual one of the partitions into two or more partitions.

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