Solving the Cartesian Count Problem: Efficient Multi-Table Aggregation in Complex Databases
Short Summary: Counting related records across multiple dependent tables can produce wrong totals or slow queries when standard joins are used. This article explains a more reliable way to do this by counting each table separately, applying date filters, and checking that the query still runs well on large datasets. Tools such as dbForge Edge can also help if needed.