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- Amazon Aurora DSQL now supports identity columns and sequence objects for unique ID generation.
- This feature simplifies migrating legacy applications that rely on auto-incrementing primary keys.
- Developers gain more flexibility when designing distributed database schemas in DSQL.
- The update is available immediately in all supported AWS regions.
- It addresses a key gap in serverless distributed SQL database compatibility.
Amazon Aurora DSQL Adds Identity Columns and Sequence Objects
Amazon Web Services (AWS) announced on February 20, 2026, that Amazon Aurora DSQL now supports identity columns and sequence objects. This new capability allows developers to automatically generate unique numerical identifiers for database rows, a fundamental feature for primary keys. According to AWS’s blog post, this update significantly reduces friction for migrating existing applications to the serverless, distributed SQL database.
The addition of these features matters because it brings Aurora DSQL closer to compatibility with traditional PostgreSQL databases. Many legacy applications depend on auto-incrementing keys, and this support eliminates the need for complex application-side workarounds. For developers, it means faster migrations and less code refactoring when adopting DSQL’s distributed architecture.
New Database Features and Capabilities
The update introduces two key mechanisms for generating unique IDs:
Identity Column Support:
- Provides automatic, sequential number generation for table columns
- Functions similarly to auto-increment in traditional relational databases
- Ensures uniqueness across distributed nodes without manual intervention
Sequence Object Functionality:
- Allows creation of named sequence generators independent of tables
- Enables sharing sequences across multiple tables or columns
- Offers precise control over number generation with custom start values and increments
Migration and Compatibility Benefits:
- Simplified legacy app migration: Reduces code changes for applications using auto-increment keys
- PostgreSQL compatibility: Aligns with standard PostgreSQL syntax and behavior
- Distributed consistency: Maintains ID uniqueness across DSQL’s distributed architecture
Why This Matters for Developers and Enterprises
This enhancement directly addresses a common pain point in database migration projects:
Development efficiency:
- Faster migrations: Developers can move existing applications to DSQL with minimal changes
- Reduced complexity: Eliminates need for custom ID generation logic in application code
- Standard patterns: Uses familiar database concepts that developers already understand
Architecture flexibility:
- Hybrid approaches: Sequences can be used alongside identity columns for different use cases
- Scalability support: Maintains data integrity as applications scale across distributed nodes
- Future-proofing: Provides foundation for more advanced database features in DSQL
Availability and Implementation
The new features are now available in all AWS regions where Amazon Aurora DSQL is offered. There are no additional costs for using identity columns or sequence objects beyond standard DSQL pricing.
Getting started:
- Immediate access: Features are enabled by default in existing DSQL clusters
- Documentation: AWS provides detailed guides for implementing identity columns and sequences
- Migration tools: AWS Database Migration Service can help transfer applications using these features
Next steps for developers:
- Review AWS documentation for syntax and best practices
- Test migrations in non-production environments first
- Consider using sequences for complex ID generation requirements
Conclusion
Amazon Aurora DSQL’s support for identity columns and sequence objects represents a significant step toward broader database compatibility. This update directly addresses developer needs by simplifying the migration of legacy applications that rely on auto-incrementing keys.
The addition of these standard database features makes DSQL more accessible to teams transitioning from traditional PostgreSQL or MySQL databases. As AWS continues to enhance DSQL’s feature set, developers can expect even smoother paths to adopting distributed serverless architectures for their applications.
FAQ
What are identity columns in Amazon Aurora DSQL?
Identity columns automatically generate unique numerical values for each row inserted into a table. They function similarly to auto-increment columns in traditional databases, providing a simple way to create primary keys without manual intervention.
How do sequence objects differ from identity columns?
Sequence objects are independent generators that create unique numbers on demand, while identity columns are tied directly to specific table columns. Sequences offer more flexibility, allowing one sequence to be shared across multiple tables or used for non-primary key purposes.
Can I use both identity columns and sequences in the same table?
Yes, you can use both features together in the same database or even within the same table. For example, you might use an identity column for the primary key and a separate sequence for generating order numbers or other business identifiers.
Does this update affect existing Aurora DSQL databases?
No, the new features are additive and don’t impact existing database functionality. You can continue using your current DSQL databases without changes, and the new identity column and sequence features are available for new tables you create.
Are there any performance implications when using these features?
Identity columns and sequences are designed for efficient operation in distributed environments. However, very high-frequency ID generation might benefit from testing with your specific workload patterns, as with any database feature that generates unique values.
What migration paths are supported for applications using auto-increment keys?
AWS Database Migration Service can help transfer applications that use auto-increment keys to Aurora DSQL. The new identity column support means most applications require minimal code changes during migration, significantly reducing the complexity of moving to a distributed architecture.
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