Write a query to find churn rate from products

Last updated: September 15, 2025

Quick Overview

Write a SQL query to calculate churn rate from the products table, considering nulls and duplicates.

PlanetScale
Data Manipulation (SQL/Python)
Data Scientist
PlanetScale
September 15, 2025
Data Scientist
Phone Screen
Data Manipulation (SQL/Python)
Hard

478

5

4,535 solved


Write a SQL query to calculate churn rate from the products table, considering nulls and duplicates.

Data manipulation questions at PlanetScale test your ability to work with real-world datasets. This Phone Screen question evaluates your SQL proficiency, understanding of data modeling, and ability to derive insights from raw data.

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
Pandas vectorized operations and groupby
NULL handling and COALESCE
Date/time manipulation
Common Table Expressions (CTEs)
JOIN types and when to use each
Aggregate functions and GROUP BY
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
  • How would you handle this if the data was spread across multiple databases?
  • Can you rewrite this without using subqueries?
  • How would you optimize this query for a table with 100 million rows?
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