Upgrades & Rolling Updates in Multi-Model Databases

Multi-model databases allow the storage of different data models in a single database engine. As these systems evolve, upgrades and rolling updates are essential to maintain performance, security, and new features.

Definitions

• Upgrade: A major change in a database version that may include new features, performance improvements, and bug fixes.
• Rolling Update: A deployment strategy that updates components of a system incrementally without downtime.
• Multi-Model Database: A database that supports multiple data models (e.g., document, graph, key-value) within a single system.

Rolling Update Workflow

graph TD;
    A[Start Rolling Update] --> B[Prepare Update];
    B --> C[Deploy Update to Node 1];
    C --> D[Verify Node 1];
    D --> E{Is Node 1 Stable?};
    E -- Yes --> F[Deploy Update to Node 2];
    E -- No --> G[Rollback Node 1];
    G --> C;
    F --> H[Verify Node 2];
    H --> I{Is Node 2 Stable?};
    I -- Yes --> J[Complete Update];
            

This flowchart illustrates the rolling update process. Each node is updated sequentially while ensuring stability at each step.

Recommendations

1. Always backup your database before performing upgrades.
2. Test upgrades in a staging environment prior to production.
3. Monitor system performance and logs during and after updates.
4. Implement automated rollback procedures to minimize downtime.
5. Communicate with stakeholders about potential impacts of updates.