Ditch the Auto-Increment PK: Make Your Database Truly Distributed with UUIDs

Ditch the Auto-Increment PK: Make Your Database Truly Distributed with UUIDs

Why Would People Need to Migrate PK to UUID in the First Place?

In today's rapidly evolving tech landscape, the shift from centralised to distributed architectures is more pronounced than ever. This transition brings to the fore the challenges and limitations of traditional primary key generation methods like auto-increment. Let’s explore why UUIDs are not just an alternative, but a necessity for modern databases.

1 - Distributed Systems and Micro-services:

In environments where systems operate independently—be it through micro-services or separated databases—coordinating ID generation becomes a cumbersome task. Distributed systems eliminate the need for such coordination, which is crucial in maintaining the autonomy and efficiency of these systems. UUIDs serve as a pivotal tool in this context, as they allow for the independent creation of unique identifiers without the risk of collision, eliminating the hurdles of distributed sequence generation. The problem that we're trying to avoid it's called "Distributed Sequence Generation".

2 - Horizontal Scaling:

When databases need to expand due to increased load, they often undergo horizontal scaling, which involves adding more instances or nodes. UUIDs are integral here, as they ensure that each data entity across distributed environments maintains a unique identity without the need for a central ID issuing authority. This not only helps in avoiding bottlenecks but also simplifies system architecture.

3 - Data Aggregation for BI Solutions or Data Lakes:

For businesses leveraging data-driven decision-making, UUIDs are invaluable. They ensure the uniqueness of data records when aggregating information from multiple sources into a data lake or warehouse. This uniqueness is critical when joining tables and can eliminate the need for complex composite keys, thereby saving on computational resources.

4 - Offline Data Synchronisation:

Applications that permit offline data entry pose a unique challenge when syncing back to a central database. UUIDs mitigate the risk of ID collisions, which are common with centrally issued identifiers, ensuring seamless integration of offline entries.

5 - Future-Proofing with UUIDs: Transforming Legacy Databases:

Integrating legacy systems or modernising outdated databases with UUIDs lays a strong foundation for a scalable, future-proof network. This step is particularly beneficial for systems in transition, where maintaining operational integrity and continuity is paramount.


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Backwards Compatibility

What is Backwards Compatibility?

Backwards compatibility (BC) in systems ensures that new updates or changes do not disrupt the existing user operations. It can be maintained indefinitely or for a transitional period, depending on business needs.

When Backwards Compatibility is Required:

  • Public APIs: External users may have dependencies on specific IDs stored as links. Maintaining BC ensures these links remain valid.
  • Physical Identifiers: Systems that use barcodes or QR codes linked to database IDs must consider BC to avoid rendering these identifiers obsolete.
  • Legacy Links: Ensuring old links remain operational prevents disruption to user experience and maintains accessibility.

When You Don't Need Backwards Compatibility:

  • New Systems: For entirely new systems with no existing user base, BC may not be necessary.
  • Backend Systems: Pure backend operations with no public exposure can forego BC, especially if they are not user-facing.
  • Regulatory or Security-Driven Changes: Sometimes, compliance or security upgrades mandate a clean break from old systems, rendering BC inapplicable.


Transitioning to UUIDs

A. Planning Your Migration Strategy

When considering the adoption of UUIDs, the decision to maintain backwards compatibility (BC) by supporting both legacy numeric IDs and new UUIDs is paramount. If BC is required, there's a strategy that involves the use of name-spaced UUIDs, which can bridge the gap between old and new systems, ensuring a smooth transition. Name-spaced UUIDs leverage a consistent namespace that can be used to generate UUIDs that are unique not only within your system but also globally.

For a comprehensive understanding of this process, consider exploring my detailed guide on this topic: Predictably Unique: Exploring the Deterministic Nature of UUIDs.

B. Updating Application Code

Adjusting your application to support UUIDs (or both: numeric + UUIDs):

  • Database Schema Changes: Replace integer primary keys with UUID fields in your database schemas. If maintaining BC, keep the old numeric ID in a separate column.
  • Data Handling Logic: Update the data handling logic in your application to generate UUIDs when new records are created. This may involve integrating UUID generation directly into your application or using database functions.
  • API Adjustments: If your application exposes APIs, update the API logic to accept and return UUIDs instead of numeric IDs. This change should be clearly documented in your API specifications to inform external developers of the new ID format.
  • Data Migration Scripts: Develop scripts to migrate existing data to use UUIDs. This process often involves generating a UUID for each existing record and updating all related entries to ensure consistency. (See: article above ??)

C. Testing

Testing is a critical phase in transitioning to UUIDs. Comprehensive testing ensures that the new system functions correctly and that the integration of UUIDs does not introduce unexpected issues.

Conduct comprehensive testing, focused edge cases specially if we offer BD of for offline-data synchronisation cases and large datasets, and performance evaluations to maintain system responsiveness with the new UUID setup.

D. Communication

Effective communication is crucial when implementing changes that affect users or external systems:

  • Pre-Implementation Notice: Inform all stakeholders about the upcoming changes well in advance. This includes internal teams, external API consumers, and end-users who might be affected by the transition.
  • Clear Documentation: Provide detailed documentation on how the new UUID system works, including changes to API endpoints, data formats, and system behaviour.
  • Support Channels: Ensure support personnel are well-informed about the changes to provide effective assistance.

By meticulously planning, updating, testing, and communicating throughout the migration to UUIDs, you ensure a smooth transition that minimizes disruptions while setting the stage for a more robust and scalable system architecture. This not only enhances the scalability and robustness of your database systems but also aligns your infrastructure with future technological advancements, ensuring that your data architecture remains both competitive and compliant.

Martin Esteban Zurita

Senior Solutions Architect at Atmira

6 个月

This is great, Nacho! I recently faced a similar challenge where auto-incremental PKs were causing performance bottlenecks in a system with multiple concurrent processes. Switching to UUIDs not only resolved these issues but also significantly streamlined our architecture, especially in distributed environments.

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