Query optimization is the process of improving SQL performance.
It reduces execution time and resource usage.
Optimized queries run faster on large datasets.
Poorly written queries can slow down applications.
Optimization helps databases respond quickly.
This is critical in production systems.
Indexes play a major role in query optimization.
Using WHERE conditions efficiently improves speed.
Avoid selecting unnecessary columns.
Avoid using SELECT * in large tables.
Always fetch only required columns.
This reduces data processing.
Query optimization improves scalability.
It reduces server load.
Optimized queries are essential for high-traffic systems.