How to Enhance Database Performance Testing Using Custom SQL Scripts in PgBench
pgbench is a popular tool for testing database performance, but it’s default ‘TPC-B like’ workload, which involves many roundtrips and context switches, may not effectively reflect true performance as it could skew results. To overcome this, users can employ custom SQL within pgbench to design a load test that more accurately simulates real-world scenarios and identifies potential bottlenecks.
This applies to PostgreSQL and Postgres-compatible databases. I’ll demo on YugabyteDB. You can skip to “Step 3: Create the schema” if you already have a database.
Using the service I’ve declared in the docker-compose, you can connect with the PostgreSQL client from a container, or from the host through the forwarded ports. I’ll explain both.
If you connect from another container, preferably from one where you can use the service name 'yb' which will connect to any node. For example, you can start a shell from the ‘pg‘ service declared in the docker-compose.yaml and set the environment to connect to the ‘yb‘ service:
