Content-Indexed Copy Data Search via Elastic Search Integration
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Solution Overview
Problem
Conventional copy data management systems do not provide transparent information about the content of copies such as snapshots and clones, making it difficult for users to identify and locate specific data within large numbers of copies.
Innovation Solution
Implementing an intelligent copy data management tool that indexes data close to its creation, using storage array capabilities and an elastic search engine to build a content-indexed repository for quick lookup and search functionality, allowing users to access and locate specific data within copies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual search processes are used to identify and locate particular content in copies, then users can find specific information, but the process involves a significant amount of time and effort
Solution Approach 1:
The system performs preliminary indexing of copy data at the time of copy creation or shortly thereafter. An intelligent copy data management tool automatically indexes the content of snapshots and clones, building a searchable repository in advance. This preliminary action eliminates the need for time-consuming manual searches later, as users can immediately query the pre-indexed repository to locate specific information.
2Loss of information
If copy data instances are mounted and manually searched, then specific content can be identified, but the process is complex and requires significant user effort
Solution Approach 1:
The system introduces an intelligent copy data management tool as an intermediary between users and copy data instances. This mediator automatically indexes copy data and maintains a searchable repository, allowing users to query content without manually mounting or searching through copy instances. The intermediary handles the complex indexing and search operations, simplifying the user experience while improving content visibility.
3Quantity of substance
If conventional copy management systems are used, then copies can be created and stored, but the nature and exact content of data in copies remains hidden
Solution Approach 1:
The system implements feedback mechanisms where the intelligent copy data management tool continuously monitors and indexes copy data content. Users receive feedback about what information is stored in copies through the searchable repository, which provides visibility into the nature and exact content of data in snapshots and clones. This feedback loop transforms the black-box copy management system into a transparent system where users can understand and locate their data.
Data Source
AI summary
One example method includes creating a copy of a dataset, wherein the dataset is a backup that was previously created and stored. The copy of the dataset may be a clone, or a snapshot. The method further includes indexing a portion of the copy, mounting the copy at a proxy, associating the index with data in the copy, storing the index, and then using the index to search the copy. The search may be performed in response to a request from a user.


