PostgreSQL to GBase Database (GBase 8c): A Practical Adaptation Checklist

Moving from PostgreSQL to GBase Database (GBase 8c) is not a fork-to-fork migration. GBase 8c uses a proprietary database kernel with PostgreSQL-compatible SQL mode, so the right approach is to validate compatibility before committing to the migration.

PostgreSQL Migration Checklist

1. Audit PostgreSQL Dependencies

Start by identifying PostgreSQL-specific components, including:

pg_catalog dependencies
Custom extensions
Foreign data wrappers
Event triggers
PostgreSQL-specific functions and operators

The goal is to understand what depends on the PostgreSQL ecosystem rather than standard SQL.

2. Test Production SQL

Run your top production queries against a GBase Database (GBase 8c) test environment.

Don't rely on a generic compatibility percentage. Measure your own workload:

SQL execution success rate
Required rewrites
Functional differences
P95 latency
Resource consumption

Production SQL provides a much more useful compatibility baseline than a simple feature checklist.

3. Map Database Configuration

PostgreSQL tuning parameters do not always have direct equivalents.

Review settings related to memory, connections, query execution, and workload management, then map them to the corresponding GBase Database configuration model.

4. Reconsider Data Distribution

This is one of the biggest architectural differences.

A PostgreSQL deployment may rely heavily on single-node table partitioning. With GBase Database (GBase 8c), distributed workloads require careful distribution-key design.

The question changes from "How should I partition this table?" to "How should this data be distributed across nodes?"

5. Review Procedural Code

PL/pgSQL code can often be adapted, but don't assume every procedure will work unchanged.

Review:

Control-flow logic
Exception handling
PostgreSQL-specific functions
Dynamic SQL
Dependency behavior

Test business-critical procedures individually before production migration.

6. Re-Benchmark Under Distributed Execution

Distributed execution can change query plans and access paths.

Compare P95/P99 latency, throughput, concurrency, and resource utilization—not just average query time.

7. Build a Controlled Cutover Plan

Set up initial data migration followed by CDC-based incremental synchronization. Use a controlled dual-run or validation window to compare source and target results before switching production traffic.