scalardb-transaction

To design ScalarDB transactions across multiple services, you define transaction boundaries and select coordination patterns like 2PC or Saga. This process ensures correct transactional scope, consistency, and performance across your distributed workflow.

The best way to handle distributed transaction boundaries in ScalarDB is by clearly delineating the transactional scope per workflow. You evaluate pattern choices between single-aggregate, 2PC, Saga, or hybrid models to guarantee cross-service consistency.

Choose between Saga and Two-Phase Commit (2PC) for ScalarDB workflows based on your coordination needs. 2PC provides strict consistency, while Saga patterns offer better resilience for long-running multi-service operations.

Evaluate optimistic concurrency control (OCC) risks in ScalarDB by assessing contention levels and resilience within your transaction design. This evaluation helps determine if your current pattern requires retry strategies to handle conflicts.

ScalarDB v3.17 improves batch processing transaction performance by introducing features like batch operations and piggyback begin. Applying these optimizations to chunked operations significantly increases throughput for high-volume workloads.

Implement retry strategies for ScalarDB distributed transactions by defining robust error handling within your transaction design. This involves configuring specific retry logic to manage OCC contention and recover from cross-service failures.