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1.
公开(公告)号:US20240256566A1
公开(公告)日:2024-08-01
申请号:US18430497
申请日:2024-02-01
Applicant: MongoDB, Inc.
Inventor: Cailin Anne Nelson , Golam Rezwan Khan , Duncan Armstrong , Jonathan Balsano
IPC: G06F16/27 , G06F16/21 , G06F16/9538
CPC classification number: G06F16/27 , G06F16/212 , G06F16/9538
Abstract: Systems and methods are configured to identify and resolve user-based issues, architecture issues, and data model issues that are introduced into distributed database deployments. Even in the context of a pre-built distributed database system, “bad” user behavior can have huge impacts on database performance. Various embodiments provide for analysis and resolution of architecture issues, as well schema issues, and can be configured to identify and resolve such problems in the context of dynamic schema database systems. Unlike relational database counterparts, dynamic schema databases do not enforce static database architecture or defined schemas. In such environments, database data and database formatting can be mostly unconstrained. If used properly, this flexibility enables easy configuration and execution. However, when improperly designed, small flaws magnify in significance as the database grows. Various embodiments identify anti-patterns indicative of non-optimal configuration or bad performance, and generate options for resolving them.
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2.
公开(公告)号:US11921744B2
公开(公告)日:2024-03-05
申请号:US17341532
申请日:2021-06-08
Applicant: MongoDB, Inc.
Inventor: Cailin Anne Nelson , Golam Rezwan Khan , Duncan Armstrong , Jonathan Balsano
IPC: G06F16/30 , G06F16/21 , G06F16/27 , G06F16/9538
CPC classification number: G06F16/27 , G06F16/212 , G06F16/9538
Abstract: Systems and methods are configured to identify and resolve user-based issues, architecture issues, and data model issues that are introduced into distributed database deployments. Even in the context of a pre-built distributed database system, “bad” user behavior can have huge impacts on database performance. Various embodiments provide for analysis and resolution of architecture issues, as well schema issues, and can be configured to identify and resolve such problems in the context of dynamic schema database systems. Unlike relational database counterparts, dynamic schema databases do not enforce static database architecture or defined schemas. In such environments, database data and database formatting can be mostly unconstrained. If used properly, this flexibility enables easy configuration and execution. However, when improperly designed, small flaws magnify in significance as the database grows. Various embodiments identify anti-patterns indicative of non-optimal configuration or bad performance, and generate options for resolving them.
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