Explain transactions in SQL.

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Optimizing a slow SQL query involves analyzing and improving its efficiency so it runs faster and consumes fewer resources. Key strategies include:

1. Use Indexes Wisely – Apply indexes on columns used in WHERE, JOIN, ORDER BY, and GROUP BY clauses to speed up lookups, but avoid over-indexing as it can slow down writes.

2. Analyze Execution Plan – Check the query execution plan to identify bottlenecks, such as full table scans, missing indexes, or inefficient joins.

3. Limit Data Retrieval – Only select necessary columns instead of using SELECT * and filter rows using precise conditions to reduce data load.

4. Optimize Joins – Use proper join types (INNER JOIN, LEFT JOIN) and ensure joined columns are indexed. Avoid joining unnecessary tables.

5. Use Query Refactoring – Rewrite complex queries with subqueries or nested queries into simpler forms, or use temporary tables and Common Table Expressions (CTEs) for better readability and performance.

6. Avoid Functions on Indexed Columns – Using functions like UPPER(), CAST(), or CONVERT() on indexed columns prevents index usage, slowing down queries.

7. Partitioning and Caching – For large tables, consider table partitioning or caching frequently accessed results to improve performance.

8. Update Statistics and Maintenance – Keep database statistics, indexes, and table statistics up to date for the optimizer to make better decisions.

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