- Common performance bottlenecks in SQL queries include missing indexes on frequently filtered or joined columns.
- In one project, a report was slow because joins were done on non-indexed fields.
- Using SELECT * instead of required columns increased unnecessary data load.
- Complex subqueries and nested queries caused longer execution time.
- Large table scans happened when WHERE conditions were not optimized.
- Improper joins like many-to-many without filters increased data duplication.
- Using functions in WHERE clauses prevented index usage.
- After query tuning and indexing, report load time improved significantly.
What are common performance bottlenecks in SQL queries?
Updated on February 25, 2026
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