How to MySQL pricing in PostgreSQL

What does “MySQL pricing” mean?

MySQL pricing means calculating the total cost of running a MySQL instance—whether self-hosted, on-prem, or in a cloud provider—by summing compute, storage, network, and support charges.

Why estimate MySQL cost with PostgreSQL?

Teams already using PostgreSQL for analytics can load cloud rate cards into a table and run repeatable, auditable SQL to forecast or back-test MySQL spend.

How do I prepare rate tables?

Create a mysql_rates table with columns region, instance_class, vcpu_price, memory_price, storage_price, and io_price. Insert your provider’s public rates.

What is the SQL syntax to calculate cost?

Join usage metrics—vCPU hours, GB-hours of RAM, GB of storage, and I/O requests—against mysql_rates. Multiply each metric by its price and sum the results.

Syntax breakdown

Start with a CTE for usage, then aggregate cost lines. Optional parameters: :region, :year_month, :currency.

Example usage query

WITH usage AS (
SELECT '2023-09' AS year_month,
'us-east-1' AS region,
'standard' AS instance_class,
732 AS vcpu_hours,
1464 AS memory_gb_hours,
500 AS storage_gb,
1200000 AS io_requests
)
SELECT u.year_month,
SUM(u.vcpu_hours * r.vcpu_price +
u.memory_gb_hours * r.memory_price +
u.storage_gb * r.storage_price +
u.io_requests * r.io_price) AS total_cost
FROM usage u
JOIN mysql_rates r
ON r.region = u.region
AND r.instance_class = u.instance_class
GROUP BY u.year_month;

Best practices for pricing queries

Store raw usage in time-partitioned tables, version rate cards, and parameterize region and currency so the same query works globally.

Common mistakes and fixes

Missing usage granularity: Aggregate hourly metrics before join, not after, to avoid double counting.

Stale rate data: Schedule monthly imports of provider rate JSON to keep calculations accurate.

When should I re-run cost models?

Run nightly for forecast accuracy or on-demand after infrastructure changes. Automate in your CI pipeline for every deploy.

Can this scale?

Yes. Partition usage by month and apply indexes on year_month, region, and instance_class for sub-second cost lookups.