Write a query to find rolling 7-day average from products

Last updated: July 25, 2025

Quick Overview

Write a SQL query to calculate rolling 7-day average from the products table, considering nulls and duplicates.

Supabase
Data Manipulation (SQL/Python)
Data Scientist
Supabase
July 25, 2025
Data Scientist
Technical Screen
Data Manipulation (SQL/Python)
Hard

4

6

3,318 solved


Write a SQL query to calculate rolling 7-day average from the products table, considering nulls and duplicates.

This question from Supabase's Technical Screen tests practical data skills. The interviewer wants to see clean, efficient queries that handle edge cases like NULLs, duplicates, and large datasets.

What the Interviewer Expects
  • Solve complex analytical problems with elegant, readable SQL
  • Optimize queries for large-scale datasets with partitioning and indexing
  • Use recursive CTEs, lateral joins, and advanced window functions
  • Design the data model alongside the query solution
  • Discuss trade-offs between SQL and programmatic approaches (Python/pandas)
  • Consider the operational aspects: query scheduling, incremental processing
Key Topics to Cover
Common Table Expressions (CTEs)
Subqueries and correlated subqueries
Window functions (ROW_NUMBER, RANK, LAG, LEAD)
Aggregate functions and GROUP BY
Index optimization and query performance
NULL handling and COALESCE
How to Approach This
  1. Clarify the schema and expected output format before writing queries.
  2. Use CTEs (WITH clauses) to break complex queries into readable steps.
  3. Consider window functions (ROW_NUMBER, RANK, LAG, LEAD) for ranking and sequential analysis.
  4. Watch for NULLs, duplicates, and edge cases in JOINs and GROUP BY.
  5. For pandas, prefer vectorized operations over row-by-row iteration.
Possible Follow-up Questions
  • What would you do if this query needs to run every 5 minutes?
  • Can you rewrite this without using subqueries?
  • What indexes would you create to support this query?
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