Recovery log analytics with a big data management platform

US10216582B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10216582-B2
Application numberUS-201615237407-A
CountryUS
Kind codeB2
Filing dateAug 15, 2016
Priority dateAug 15, 2016
Publication dateFeb 26, 2019
Grant dateFeb 26, 2019

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

Provided are techniques for replicating relational transactional log data to a big data platform. Change records contained in change data tables are fetched. A relational change history with transaction snapshot consistency is rebuilt to generate consistent change records by joining the change data tables and a unit of work table based on a commit sequence identifier. The consistent change records are stored on the big data platform, and queries are answered on the big data platform using the consistent change records.

First claim

Opening claim text (preview).

What is claimed is: 1. A computer program product for replicating relational transactional log data to a big data platform, the computer program product comprising a non-transitory computer readable storage medium having program code embodied therewith, the program code executable by at least one processor to perform operations comprising: fetching change records contained in change data tables; rebuilding a relational change history with transaction snapshot consistency to generate consistent change records by joining the change data tables and a unit of work table based on a commit sequence identifier, wherein the rebuilding is performed by one of a relational database management system and the big data platform; and storing the consistent change records on the big data platform, wherein queries are answered on the big data platform using the consistent change records. 2. The computer program product of claim 1 , wherein fetching the change records is performed using one of centralized parallel transmission and decentralized parallel transmission. 3. The computer program product of claim 1 , wherein the change data tables are pruned. 4. The computer program product of claim 1 , wherein analysis of the consistent change records is performed on the big data platform. 5. The computer program product of claim 1 , wherein a Software as a Service (SaaS) is configured to perform computer program product operations. 6. The computer program product of claim 1 , wherein the unit of work table is used to determine whether there are new records for new transactions in the change data tables. 7. The computer program product of claim 1 , wherein metadata is stored that includes a source schema name, a table name of a table, subscribed column names, and a subscription state of the table. 8. A computer system for replicating relational transactional log data to a big data platform, comprising: one or more processors, one or more computer-readable memories and one or more computer-readable, tangible storage devices; and program instructions, stored on at least one of the one or more computer-readable, tangible storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to perform operations comprising: fetching change records contained in change data tables; rebuilding a relational change history with transaction snapshot consistency to generate consistent change records by joining the change data tables and a unit of work table based on a commit sequence identifier, wherein the rebuilding is performed by one of a relational database management system and the big data platform; and storing the consistent change records on the big data platform, wherein queries are answered on the big data platform using the consistent change records. 9. The computer system of claim 8 , wherein fetching the change records is performed using one of centralized parallel transmission and decentralized parallel transmission. 10. The computer system of claim 8 , wherein the change data tables are pruned. 11. The computer system of claim 8 , wherein analysis of the consistent change records is performed on the big data platform. 12. The computer system of claim 8 , wherein a Software as a Service (SaaS) is configured to perform system operations. 13. The computer system of claim 8 , wherein the unit of work table is used to determine whether there are new records for new transactions in the change data tables. 14. The computer system of claim 8 , wherein metadata is stored that includes a source schema name, a table name of a table, subscribed column names, and a subscription state of the table.

Assignees

Inventors

Classifications

  • Solving problems relating to consistency · CPC title

  • by selection of backup contents · CPC title

  • Change logging, detection, and notification (replication G06F16/27) · CPC title

  • G06F16/215Primary

    Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors · CPC title

  • Updates performed during online database operations; commit processing · CPC title

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What does patent US10216582B2 cover?
Provided are techniques for replicating relational transactional log data to a big data platform. Change records contained in change data tables are fetched. A relational change history with transaction snapshot consistency is rebuilt to generate consistent change records by joining the change data tables and a unit of work table based on a commit sequence identifier. The consistent change reco…
Who is the assignee on this patent?
IBM
What technology area does this patent fall under?
Primary CPC classification G06F11/1451. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Feb 26 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 4 related publications on this page (citations in our corpus or others sharing the same primary CPC).