Here’s a summary of the top query optimization techniques for a telecom application:
Partitioning: Partition large tables (e.g., call_records) by date or region to allow faster, targeted queries.
Indexing: Add indexes on frequently queried columns (e.g., customer_id, billing_cycle) to reduce retrieval time.
Materialized Views: Use for precomputed aggregations, especially for reports, to reduce calculation time.
Analytical Functions: Use functions like RANK() and SUM() OVER() for efficient aggregations without complex subqueries.
Avoiding Full Table Scans: Apply filters early, use indexes, and avoid unnecessary scans on large tables.
Inline Views: Filter data early in the query with inline views for faster main query processing.
Bind Variables: Use bind variables in frequently executed queries to reduce parsing and CPU usage.
Batch Processing: For bulk inserts/updates, process in batches to improve efficiency.
Data Archiving and Purging: Archive or delete old data (e.g., network logs) to keep tables manageable and speed up queries.
Query Rewriting: Simplify complex queries or break them into steps for better execution plans.
Index-Organized Tables (IOT): Use IOTs for tables primarily accessed via indexed queries to optimize storage and access.
EXPLAIN PLAN: Regularly use EXPLAIN PLAN to analyze query execution paths and identify bottlenecks.
These techniques enhance performance, particularly for high-volume telecom applications, by reducing data retrieval times and optimizing resource usage.
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