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Optimizing BigQuery Queries
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Optimizing BigQuery Queries

MediumSQL · PostgreSQL

Problem

Can you explain your approach to optimizing queries within the BigQuery environment?

For this practical exercise, write a PostgreSQL query that returns customer revenue from qualifying 2025 orders. Apply a performance-conscious approach by limiting data to the required period and status before producing the final customer-level results.

Output

  1. One row per customer with at least 100.00 in qualifying revenue.
  2. Columns: customer_id, customer_name, region, total_revenue, and completed_orders.
  3. Sort by total_revenue descending, then customer_id ascending.

Schema

customers
ColumnTypeDescription
customer_idPKINTUnique customer identifier
customer_nameVARCHAR(100)Customer display name
regionVARCHAR(50)Customer state or territory
orders
ColumnTypeDescription
order_idPKINTUnique order identifier
customer_idINTCustomer who placed the order
order_dateDATEOrder placement date
statusVARCHAR(20)Order processing status
order_items
ColumnTypeDescription
order_item_idPKINTUnique order-line identifier
order_idINTOrder containing the item
product_nameVARCHAR(120)Product description
quantityINTUnits ordered
unit_priceNUMERIC(10,2)Price per unit
Tablescustomersordersorder_items
Interviewer

Your question is Optimizing BigQuery Queries. Start with the requirements and the three tables in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.

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