SQL JOIN Interview Questions
SQL JOIN questions test whether you can combine data across tables while preserving the right grain and relationships. Expect INNER, LEFT, RIGHT, CROSS, and FULL OUTER JOINs, plus multi-table joins and JOIN + aggregation patterns.
Common SQL JOIN interview patterns
- INNER vs LEFT JOIN logic
- Anti-joins (find missing records)
- Self-joins for comparisons within a table
- JOIN + GROUP BY for aggregated results
- Conditional joins with additional predicates
- Multi-key joins across composite keys
- Deduplication using JOINs
SQL JOIN interview questions
Debug a Hive query
Debug a Hive Query for DAU
Solve three SQL problems (easy/medium/hard)
Aggregate Netflix metrics in SQL
Analyze Bookstore Data to Identify Top Payment Methods
Determine Growth of Pirated Theme Installations Over Years
Create SQL Queries for Sales and Customer Analysis
Identify Key Metrics for Monitoring Shipment Defects
Calculate Average Rate and Cumulative Jobs by State
Derive Key Business Metrics Using SQL or Python
Analyze Cross-Country Call Data for Recent Trends
Explain Window Functions and Joins in SQL and Python
Calculate Second-Degree Followers for Each YouTuber
Calculate Top Countries' Gmail Usage and MoM Change
Analyze Posting Behavior by Cohort and Date
Calculate Conversion Rate from Ad Clicks to Page Visits
Calculate and Compare Survey Response Rates for User Tenure
Retrieve Ad Metrics and Rates for Last 7 Days
Calculate Monthly Conversion Rate and Average Order Value
Common mistakes with SQL JOINs
- JOIN explosion from many-to-many relationships
- Filtering in WHERE instead of ON for LEFT JOINs
- Incorrect NULL handling on optional joins
- COUNT(*) vs COUNT(column) confusion
- Duplicate rows after joins
How JOIN questions are evaluated in interviews
Correctness beats performance; the right result set matters most.
Explain your join keys, assumptions, and how NULLs are treated.
Reasoning and clarity matter more than memorized syntax.
Related SQL concepts
SQL JOIN Interview FAQs
What is the difference between INNER JOIN and LEFT JOIN in interviews?
INNER JOIN returns only matching rows from both tables, while LEFT JOIN keeps all rows from the left table and fills unmatched right rows with NULLs. Interviewers often test whether you choose the correct join for required vs optional relationships.
When should I use a subquery instead of a JOIN?
Use a subquery when you need to filter or aggregate before joining, or when a correlated condition is clearer. JOINs are better for combining row-level data, while subqueries can simplify multi-step logic.