Systems and methods for in-place migration with downtime minimization

US2016170977A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2016170977-A1
Application numberUS-201414568959-A
CountryUS
Kind codeA1
Filing dateDec 12, 2014
Priority dateDec 12, 2014
Publication dateJun 16, 2016
Grant date

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Abstract

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A system and method for database migration is provided. In an example embodiment, the database migration technique may include a first connection to a relational database, a second connection to an in-memory database, and a migration framework to analyze the data structures of the relational database so as to identify first and second subsets of data structures. The first subset of data structures is migrated to the in-memory database during an uptime period of the relational database, and the second subset of data structures is migrated to the in-memory database during a downtime period of the relational database.

First claim

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We claim: 1 . A database migration system, comprising: one or more processors; and memory storing a plurality of integrated programs for execution by the one or more processors, one of the plurality of integrated programs including: a first connection to a relational database; a second connection to an in-memory database; a migration framework to analyze the data structures of the relational database so as to identify first and second subsets of data structures, wherein the first subset of data structures is migrated to the in-memory database during an uptime period of the relational database, and the second subset of data structures is migrated to the in-memory database during a downtime period of the relational database. 2 . The database migration system of claim 1 , wherein each of the first subset of data structures has a size that exceeds a predetermined threshold. 3 . The database migration system of claim 1 , wherein each of the first subset of data structures has a number of entries that exceeds a predetermined threshold. 4 . The database migration system of claim 1 , wherein each of the first subset of data structures has a calculated criticality indicator that exceeds a predetermined threshold. 5 . The database migration system of claim 1 , wherein the migration framework includes a shadow relational database. 6 . The database migration system of claim 1 , wherein the migration framework includes a shadow in-memory database. 7 . The database migration system of claim 1 , wherein the migration framework consolidates multiple relational databases into a single in-memory database. 8 . A method for database migration, comprising: connecting to a relational database; connecting to an in-memory database; providing a migration framework to analyze the data structures of the relational database so as to identify first and second subsets of data structures, wherein the first subset of data structures is migrated to the in-memory database during an uptime period of the relational database, and the second subset of data structures is migrated to the in-memory database during a downtime period of the relational database. 9 . The method for database migration of claim 8 , wherein each of the first subset of data structures has a size that exceeds a predetermined threshold. 10 . The method for database migration of claim 8 , wherein each of the first subset of data structures has a number of entries that exceeds a predetermined threshold. 11 . The method for database migration of claim 8 , wherein each of the first subset of data structures has a calculated criticality indicator that exceeds a predetermined threshold. 12 . The method for database migration of claim 8 , wherein the migration framework includes a shadow relational database. 13 . The method for database migration of claim 8 , wherein the migration framework includes a shadow in-memory database. 14 . The method for database migration of claim 8 , wherein the migration framework consolidates multiple relational databases into one in-memory database. 15 . A non-transitory computer readable storage medium storing one or more programs configured to be executed by a processor, the one or more programs comprising instructions for: connecting to a relational database; connecting to an in-memory database; providing a migration framework to analyze the data structures of the relational database so as to identify first and second subsets of data structures, wherein the first subset of data structures is migrated to the in-memory database during an uptime period of the relational database, and the second subset of data structures is migrated to the in-memory database during a downtime period of the relational database. 16 . The computer readable storage medium of claim 15 , wherein each of the first subset of data structures has a size that exceeds a predetermined threshold. 17 . The computer readable storage medium of claim 15 , wherein each of the first subset of data structures has a number of entries that exceeds a predetermined threshold. 18 . The computer readable storage medium of claim 15 , wherein each of the first subset of data structures has a calculated criticality indicator that exceeds a predetermined threshold. 19 . The computer readable storage medium of claim 15 , wherein the migration framework includes a shadow relational database. 20 . The computer readable storage medium of claim 15 , wherein the migration framework includes a shadow in-memory database. 21 . The computer readable storage medium of claim 15 , wherein the migration framework consolidates multiple relational databases into one in-memory database.

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What does patent US2016170977A1 cover?
A system and method for database migration is provided. In an example embodiment, the database migration technique may include a first connection to a relational database, a second connection to an in-memory database, and a migration framework to analyze the data structures of the relational database so as to identify first and second subsets of data structures. The first subset of data structu…
Who is the assignee on this patent?
Sap Se
What technology area does this patent fall under?
Primary CPC classification G06F16/214. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Jun 16 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).