Join transactions and rides to find time to first action

Last updated: November 7, 2025

Quick Overview

Write a query joining transactions and clicks to produce the combined time to first action.

Cloudflare
Data Manipulation (SQL/Python)
Data Scientist
Cloudflare
November 7, 2025
Data Scientist
Technical Screen
Data Manipulation (SQL/Python)
Easy

15

11

231 solved


Write a query joining transactions and clicks to produce the combined time to first action.

Cloudflare asks this during the Technical Screen because data engineering skills are critical for the role. You should be comfortable with complex joins, window functions, CTEs, and performance optimization.

What the Interviewer Expects
  • Write syntactically correct SQL with proper JOIN and WHERE clauses
  • Use GROUP BY and aggregate functions appropriately
  • Handle NULL values correctly in your queries
  • Explain the query execution plan at a high level
Key Topics to Cover
Date/time manipulation
Common Table Expressions (CTEs)
Pandas vectorized operations and groupby
Data cleaning and transformation
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 validate the correctness of your query results?
  • How would you handle this if the data was spread across multiple databases?
  • What indexes would you create to support this query?
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Practice SQL Problems
Sample Answer
Problem Understanding

In this problem, we are tasked with joining two tables: transactions and clicks. We need to calculate the combined time to the first action, which means identifying the earliest click time that ...

Approach

To solve this problem, we will follow these steps:

  1. Identify relevant columns: We'll focus on the user ID, transaction timestamp from the transactions table, and click timestamp from the `clic...

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