How to Calculate MySQL SaaS Pricing in PostgreSQL

Galaxy Glossary

How do I calculate MySQL SaaS pricing with SQL?

Aggregate order and product data to compute per-customer SaaS pricing, MRR, and ARR.

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Description

Example H2

Example H3

What problem does MySQL SaaS pricing solve?

Teams need to know how much recurring revenue each customer generates. Querying existing ecommerce tables lets you derive SaaS plan pricing without building new tables or spreadsheets.

Which tables should I query?

Use Products for plan prices, Orders for purchase dates, OrderItems for quantities, and Customers to link revenue back to buyers.

How do I write the pricing query?

Aggregate order items whose product name contains “MySQL SaaS.” Filter by month or year to get MRR or ARR.Group by customer or plan for detailed breakdowns.

Step-by-step walk-through

1. Filter products: p.name ILIKE '%MySQL SaaS%'.
2. Date window: date_trunc('month', o.order_date) for MRR.
3. Revenue calc: SUM(oi.quantity * p.price).
4. Grouping: GROUP BY c.id or date_trunc.

What are best practices?

Store prices in Products.price only once and reference it in calculations. Always truncate dates to avoid partial months. Index order_date and product_id for faster aggregation.

What common mistakes should I avoid?

Don’t multiply by price in Products if you also store it in OrderItems; you will double count.Don’t forget to filter by active subscriptions, otherwise churned customers inflate revenue.

How can I extend the query?

Add a date_trunc('year', o.order_date) column to get ARR. Join a Plans lookup to break down revenue by tier, or pivot monthly MRR into columns for quick dashboards.

Why How to Calculate MySQL SaaS Pricing in PostgreSQL is important

How to Calculate MySQL SaaS Pricing in PostgreSQL Example Usage


-- Top 10 customers by current-month MRR for the “MySQL SaaS” product
SELECT  c.name,
        c.email,
        SUM(oi.quantity * p.price) AS mrr
FROM    Orders o
JOIN    OrderItems oi ON oi.order_id = o.id
JOIN    Products p    ON p.id        = oi.product_id
JOIN    Customers c   ON c.id        = o.customer_id
WHERE   p.name = 'MySQL SaaS Standard Plan'
  AND   date_trunc('month', o.order_date) = date_trunc('month', CURRENT_DATE)
GROUP BY c.name, c.email
ORDER BY mrr DESC
LIMIT 10;

How to Calculate MySQL SaaS Pricing in PostgreSQL Syntax


SELECT  c.id                AS customer_id,
        SUM(oi.quantity * p.price) AS monthly_revenue,
        date_trunc('month', o.order_date) AS revenue_month
FROM    Orders      o
JOIN    OrderItems  oi ON oi.order_id   = o.id
JOIN    Products    p  ON p.id          = oi.product_id
JOIN    Customers   c  ON c.id          = o.customer_id
WHERE   p.name ILIKE '%MySQL SaaS%'
  AND   date_trunc('month', o.order_date) = date_trunc('month', CURRENT_DATE)
GROUP BY c.id, date_trunc('month', o.order_date)
ORDER BY monthly_revenue DESC;

Common Mistakes

Multiplying price twice: Developers sometimes multiply <code>OrderItems.quantity</code> by both <code>OrderItems.price</code> and <code>Products.price</code>, doubling revenue. Use one price column only.
Ignoring churn: Running the query without filtering cancelled subscriptions inflates revenue. Always filter for active customers or renewal dates.