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Optimize Complex Query for Compute Efficiency
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Optimize Complex Query for Compute Efficiency

HardSQL · PostgreSQL

Problem

A data analytics team at Acme Corp is facing high compute costs due to a complex SQL query that aggregates sales data across multiple tables. Write a SQL query that optimizes the original query to minimize resource consumption while still delivering the required results.

Requirements

  1. Use CTEs to break down the query into manageable parts.
  2. Optimize JOIN operations to reduce data volume.
  3. Ensure the final result set includes total sales by category and month.
  4. Use window functions to calculate the running total of sales per category.

Schema

sales
ColumnTypeDescription
idPKINTPrimary key
category_idINTForeign key referencing categories
amountDECIMAL(10,2)Transaction amount
transaction_dateDATEDate of transaction
categories
ColumnTypeDescription
idPKINTPrimary key
nameVARCHAR(255)Category name
customers
ColumnTypeDescription
idPKINTPrimary key
nameVARCHAR(255)Customer name
signup_dateDATEDate of customer signup
Tablessalescategoriescustomers
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