DACI: How to implement a repository with history?
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- Any constraints and challenges we need to consider to make this decision and following action plan.
- Any additional options we should consider before making the decision.
Background
A common scenario we come across with almost all metadata repositories we have seen is that they lack the ability to store historical information about metadata and respond to point-in-time inquiries. While Egeria's type system and APIs have been built from the beginning to support such history, we have not yet implemented a backend storage option that implements history.
Considering this comes up frequently as a common need, even to augment existing metadata repositories, providing such a historical store for metadata could be a somewhat narrow but nonetheless extremely common adoption point for Egeria.
Current state
We are currently considering implementation options for an initial approach to such a repository.
Data for decision support
- Identification of potential technologies to use as the backing store for such a repository.
Options considered
| Option 1: bi-temporal RDBMS | Option 2: bi-temporal graph | Option 3: ? | |
|---|---|---|---|
Description | Using a bi-temporal relational database like DB2 | Using a bi-temporal graph store like Crux | |
Rollout plan | |||
| Pros and cons | Native Handles historical information natively at the storage layer, so should be simpler to implement point-in-time inquiry. New approach Takes a new approach to a backing store (relational) compared to our existing implementations (graph-based) Commercial We are unaware of any open source, native bi-temporal RDBMS, so this would put a dependency on licensed commercial software. | Native Handles historical information natively at the storage layer, so should be simpler to implement point-in-time inquiry. Similar to existing Close alignment with our current repository approaches that are more graph-focused than relational. Embedded option Provides a simple option to run in an embedded capacity, which could be useful for demonstration purposes (not requiring additional infrastructure and components). Pluggable backends Implemented using pluggable characteristics for its own backends, including both open source and commercial options. | |
Risks | Scalability The resource requirements that might be necessary for a "true production" rollout are unclear, or the volume to which it can scale. | ||
Estimated cost and effort |
FAQ
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References
Follow-up action items
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