SQL Quest › SQL Interview Questions › Window Functions

Rolling Tool Wear Trend

HardProQuerying BasicsWindow FunctionsAggregation & Grouping

Compute a 5-unit rolling average tool wear as we walk through products by udi. Use a window with ROWS BETWEEN. Show udi, product_id, tool_wear_min, rolling_5_avg (rounded to 1 decimal). Top 30 by udi.

Solve it in the browser editor →

Runs on SQLite in your browser, graded against the expected result, no signup. A wrong answer gets a diagnosis, not just "incorrect".

Schema

products

udiproduct_idtypetool_wear_min
5640L52819L180
2171M17030M10
228L47407L168

Expected output: Smoothed tool wear trend

Hint

This is a Pro challenge — the hint, the step-by-step tutor and the reference solution open in the app.

Concepts

SELECT Window Functions AVG

Practise the topic: SQL practice questions · Window function practice · GROUP BY exercises · Advanced SQL interview questions

Read the concept: SQL running total

Related questions

Top 3 Sales Per BoroughHard · ProYoY Sales Volume Per BoroughHard · ProTop 5 Torque Per QualityHard · ProNPL Quarter-over-Quarter AccelerationHard · ProGeographic Mismatch — Impossible TravelHard · ProPeak Rolling 30-Day Spend Per AccountHard · Pro

Where would this cost you points in an interview?

Ten questions, no signup: a Skillmap across nine SQL skills and the one to fix first.

Take the readiness test