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How would you handle duplicate records in an SQL table?

SQLmedium0.6 min read

**Architectural Logic**: 1. Identify: GROUP BY key HAVING COUNT(*) > 1. 2. Resolve: ROW_NUMBER() OVER (PARTITION BY key ORDER BY tiebreaker) then keep rn=1. 3. Prevent: UNIQUE constraint, PK; MERGE/INSERT with conflict handling. **Why**: Duplicates indicate ingestion bug,...

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Frequency
Low
Asked at 3 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
AareteDunnhumbyIncedo
Key Concepts Tested
partitionsql

Why This Question Matters

This medium-level SQL question appears frequently in data engineering interviews at companies like Aarete, Dunnhumby, Incedo. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (partition, sql) 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
118 words

Architectural Logic: 1. Identify: GROUP BY key HAVING COUNT() > 1. 2. Resolve: ROW_NUMBER() OVER (PARTITION BY key ORDER BY tiebreaker) then keep rn=1. 3. Prevent: UNIQUE constraint, PK; MERGE/INSERT with conflict handling. Why: Duplicates indicate ingestion bug, missing idempotency, or intentional multi-version (e.g., SCD2). Fix root cause before ad-hoc dedup. Scalability: DELETE from CTE/subquery can lock; prefer INSERT INTO new_table SELECT ... WHERE rn=1 then swap, or use MERGE. Cost: Full scan + sort for ROW_NUMBER; DELETE is row-by-row logged. Example: WITH cte AS (SELECT , ROW_NUMBER() OVER (PARTITION BY key ORDER BY updated_at DESC) rn FROM t) DELETE FROM t WHERE (key, id) IN (SELECT key, id FROM cte WHERE rn > 1)β€”or use INSERT-overwrite pattern.

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 3 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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