Techniques for live repartitioning of cross-service database shards
a technology of cross-service database and live repartition, applied in the field of live repartitioning of cross-service database shards, can solve the problems of scaling metadata databases that may include significant downtime and latency, and limited centrally managed databases of cloud resource metadata
Active Publication Date: 2022-06-23
ORACLE INT CORP
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- Application Information
AI Technical Summary
Benefits of technology
Enables scalable database capacity without significant downtime or latency, allowing continuous service and improved performance by maintaining consistency and reducing the impact of resharding operations on the overall system.
Problems solved by technology
Centrally managed databases of cloud resource metadata may be limited by physical storage capacity of database partitions, which may present challenges when scaling to accommodate growth in data volumes.
For example, scaling metadata databases may include significant downtime and latency while data is migrated to newly added database partitions.
Method used
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[0018]In the following description, various embodiments will be described. For purposes of explanation, specific configurations and details are set forth in order to provide a thorough understanding of the embodiments. However, it will also be apparent to one skilled in the art that the embodiments may be practiced without the specific details. Furthermore, well-known features may be omitted or simplified in order not to obscure the embodiment being described.
[0019]Cloud-based platforms provide scalable and flexible computing resources for users. Such cloud-based platforms, also referred to as infrastructure as a service (IaaS) may offer entire suites of cloud solutions around a customer's data, for example solutions for authoring transformations, loading data, and presenting the data. Cross-service data is collected as part of managing cloud resource allocation, management, and infrastructure planning. Centrally managed databases of cloud resource metadata may be limited by physica...
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Techniques for live migration of cloud resource infrastructure metadata are provided. A method may include receiving a resharding request associated with a database configured to store resource metadata according to a first database configuration. The resource metadata may be identified by a first mapping. The method may include preparing the resource metadata for migration to a second database configuration corresponding with a second mapping. The method may include migrating a subset of the resource metadata within the database in accordance with the second mapping. The method may include while migrating the subset of the resource metadata, serving requests on the resource metadata according to the first database configuration. The method may include after migrating the subset of the resource metadata, installing the second database configuration. The method may also include removing the subset of the resource metadata remaining in the database according to the first database configuration.
Description
BACKGROUND[0001]Cloud-based platforms provide scalable and flexible computing resources for users. Such cloud-based platforms, also referred to as infrastructure as a service (IaaS), may offer entire suites of cloud solutions around a customer's data, for example, solutions for authoring transformations, loading data, and presenting the data.[0002]Cross-service data is collected as part of managing cloud resource allocation, management, and infrastructure planning. Centrally managed databases of cloud resource metadata may be limited by physical storage capacity of database partitions, which may present challenges when scaling to accommodate growth in data volumes. For example, scaling metadata databases may include significant downtime and latency while data is migrated to newly added database partitions.BRIEF SUMMARY[0003]Techniques are provided (e.g., a method, a system, non-transitory computer-readable medium storing code or instructions executable by one or more processors) for...
Claims
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IPC IPC(8): G06F16/27G06F16/21G06F16/215
CPCG06F16/278G06F16/215G06F16/214G06F16/86G06F16/182G06F16/908
Inventor HASSAN, MOHAMED SABER ABDELFATTAH
Owner ORACLE INT CORP