Optimizing multi-join/subquery queries: (1) Reduce join cardinality early—filter before joining. (2) Replace correlated subqueries with JOINs: e.g., SELECT * FROM a WHERE a.id IN (SELECT id FROM b WHERE ...) becomes JOIN (SELECT id FROM b WHERE ...) b ON a.id = b.id. (3) Use CTEs for readability and to let optimizer materialize. (4) Ensure join columns are indexed. (5) Join smallest tables first when possible. (6) Avoid SELECT * in subqueries. (7) Use EXPLAIN to detect full scans....
The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like American Express. The answer also includes follow-up discussion points that interviewers commonly explore.
Continue Reading the Full Answer
Unlock the complete expert answer with code examples, trade-offs, and pro tips - plus 1,863+ more.
Or upgrade to Platform Pro - $39
Engineers who used these answers got offers at
AmazonDatabricksSnowflakeGoogleMeta
According to DataEngPrep.tech, this is one of the most frequently asked SQL interview questions, reported at 1 company. DataEngPrep.tech maintains a curated database of 1,863+ real data engineering interview questions across 7 categories, verified by industry professionals.