System and method for replication log branching avoidance using post-failover rejoin
US-9489434-B1 · Nov 8, 2016 · US
Replication group partitioning
US11151164B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11151164-B2 |
| Application number | US-201313800139-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 13, 2013 |
| Priority date | Mar 13, 2013 |
| Publication date | Oct 19, 2021 |
| Grant date | Oct 19, 2021 |
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Abstract
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Methods and systems for replication group partitioning include analyzing historical workload data for a plurality of data elements to generate one or more transaction patterns and generating a recommended partitioning of the plurality of data elements into one or more replication groups, based on the one or more transaction patterns, that are optimized toward a partitioning goal.
First claim
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What is claimed is: 1. A method for replication group partitioning, comprising: analyzing historical workload data for a plurality of data elements with a processor to identify and categorize one or more transaction patterns, each transaction pattern corresponding to a particular group of transactions that updates the same data elements and having a corresponding peak throughput; generating a recommended partitioning of the plurality of data elements into one or more replication groups, based on the peak throughputs of the one or more transaction patterns, that are optimized toward a partitioning goal; and logging transactions that involve the plurality of data elements in a first data center; and replicating the logged transactions in a second data center, where the replicated transactions are grouped according to the recommended partitioning. 2. The method of claim 1 , further comprising receiving revisions to the recommended partitioning of the plurality of data elements from a user's input and generating a new recommended partitioning based on the received revisions. 3. The method of claim 1 , wherein the plurality of data elements are tables or tablespaces in a database. 4. The method of claim 1 , wherein the transaction patterns correspond to a group of transactions that updates a given set of data elements. 5. The method of claim 1 , wherein the partitioning goal comprises maintaining a predetermined affinity or separation between specific data elements. 6. The method of claim 1 , further comprising: monitoring online workload changes; and generating a new recommended partitioning based on said online workload changes to maintain an optimized partitioning goal. 7. The method of claim 1 , wherein generating a recommended partitioning comprises iteratively creating partition groups by selecting data elements according to one or more selection criteria. 8. The method of claim 1 , wherein generating a recommended partitioning comprises exhaustively evaluating every possible partitioning of the plurality of data elements. 9. A method for grouped data replication, comprising: analyzing historical workload data for a plurality of data elements with a processor to identify and categorize one or more transaction patterns, each having a respective peak throughput; generating a recommended partitioning of the plurality of data elements into one or more replication groups, based on the peak throughputs of the one or more transaction patterns, that are optimized toward a partitioning goal, each transaction pattern corresponding to a particular group of transactions that updates the same data elements; logging transactions that involve the plurality of data elements in a first data center; replicating the logged transactions in a second data center, where the replicated transactions are grouped according to the recommended partitioning; monitoring online workload changes; and generating a new recommended partitioning based on said online workload changes to maintain an optimized partitioning goal.
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- G06F16/278Primary
Data partitioning, e.g. horizontal or vertical partitioning · CPC title
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Frequently asked questions
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- What does patent US11151164B2 cover?
- Methods and systems for replication group partitioning include analyzing historical workload data for a plurality of data elements to generate one or more transaction patterns and generating a recommended partitioning of the plurality of data elements into one or more replication groups, based on the one or more transaction patterns, that are optimized toward a partitioning goal.
- Who is the assignee on this patent?
- IBM
- What technology area does this patent fall under?
- Primary CPC classification G06F16/278. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Oct 19 2021 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 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).