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Explain the difference between INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.

SQLmedium0.5 min read

**INNER JOIN**: Only rows with matches in both tables. **LEFT JOIN**: All from left; matches from right; NULLs where no match. **RIGHT JOIN**: All from right; matches from left. **FULL JOIN**: All from both; NULLs where no match. **Why it matters**: Join choice affects result...

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Frequency
Low
Asked at 4 companies
Category
487
questions in SQL
Difficulty Split
130E|271M|86H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
AccentureCognizantEPAMYash Technologies
Interview Pro Tip

Red Flag: Not knowing when result rows can explode (e.g., many-to-many without intent). Pro-Move: Say you always validate cardinality after joins—'I expect 1:1 here, so I check for duplicates.'

Key Concepts Tested
join

Why This Question Matters

This medium-level SQL question appears frequently in data engineering interviews at companies like Accenture, Cognizant, EPAM, and 1 others. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (join) will help you answer variations of this question confidently.

How to Approach This

Break this problem into components. Identify the core trade-offs involved, then walk the interviewer through your reasoning step by step. Demonstrate awareness of edge cases and production considerations - this is what separates good answers from great ones.

Expert Answer
94 words

INNER JOIN: Only rows with matches in both tables. LEFT JOIN: All from left; matches from right; NULLs where no match. RIGHT JOIN: All from right; matches from left. FULL JOIN: All from both; NULLs where no match. Why it matters: Join choice affects result cardinality and semantics. Wrong join = wrong numbers. Scalability: Hash joins are common; broadcast for small dimension. FULL OUTER can be expensive—large shuffle. Cost: INNER is cheapest (smaller result); FULL is costliest. Production note: LEFT JOIN to dimension tables often yields duplicates if dimension has 1-to-many; ensure key uniqueness.

The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations covering performance optimization and real-world examples.

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According to DataEngPrep.tech, this is one of the most frequently asked SQL interview questions, reported at 4 companies. DataEngPrep.tech maintains a curated database of 1,863+ real data engineering interview questions across 7 categories, verified by industry professionals.

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