TIL: How One SQL Query Can Help You Choose the Right GBase Database

You don't need a 100-page whitepaper to start evaluating GBase Database.

One simple workload metric can give you an important first signal:

How much of your workload is transactional DML versus SELECT-heavy processing?

For PostgreSQL-compatible environments, you can start with:

SELECT
  SUM(CASE
        WHEN command IN ('INSERT', 'UPDATE', 'DELETE')
        THEN calls ELSE 0
      END) AS tp_calls,
  SUM(CASE
        WHEN command = 'SELECT'
        THEN calls ELSE 0
      END) AS ap_calls
FROM pg_stat_statements;

The exact query may need to be adapted to your database and monitoring environment, but the idea is simple:

Measure the workload before choosing the architecture.

How to Read the Result

As a first-pass classification:

This isn't a hard product-selection rule.

DML/SELECT ratio is only the beginning.

You should also look at:

• Transaction concurrency

• Query complexity

• Data volume

• Latency requirements

• Data growth

• SQL compatibility

• Analytical query patterns

Why This Matters

The three GBase Database product lines target different workload characteristics.

GBase Database(GBase 8s) focuses on centralized transactional workloads and shared-storage clustering.

GBase Database(GBase 8c) targets distributed HTAP and mixed workloads.

GBase Database(GBase 8a) focuses on columnar MPP analytics.

So instead of starting with:

"Which GBase Database product is the most powerful?"

Start with:

"What does my workload actually look like?"

A simple workload query won't give you the final answer.

But it can prevent you from choosing an architecture based on assumptions.

From One Query to a Real POC

Once you've classified the workload, go one level deeper.

For GBase Database evaluation, collect:

DML vs SELECT ratio
        ↓
Transaction concurrency
        ↓
Data volume
        ↓
Top SQL
        ↓
Latency requirements
        ↓
POC

The goal isn't to prove that one product is better than another.

It's to find the GBase Database architecture that matches the workload.

What's the first metric you check when classifying a database workload: DML/SELECT ratio, TPS, concurrency, data volume, or something else?