Ensure applications properly close database connections when they are no longer needed.
Adjust the maximum number of connections in the application's database connection pool to an appropriate level.
Configure background processes to use a limited amount of system resources to avoid impacting live operations.
Reschedule maintenance, backups, and batch jobs to off-peak hours.
Implement application-level caching or load balancing to distribute requests and reduce direct database pressure.
Identify and refactor inefficient queries or code patterns that cause excessive database load.
Increase the CPU, RAM, or storage capacity of the database server or consider a more powerful instance type.
Optimize slow queries, add appropriate indexes, and tune database configuration parameters for better resource utilization.
Explore different index types (e.g., B-tree, hash, full-text) based on the nature of the queries and data.
Create indexes that include all columns needed by a query to avoid table lookups.
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Essential columns used in WHERE clauses, JOIN conditions, or ORDER BY clauses lack appropriate indexes, forcing full table scans.
Existing indexes are not being used by the query optimizer, or multiple indexes cover the same set of columns, leading to overhead.
Indexes are not tailored to the specific needs of the queries, such as missing indexes for LIKE queries with leading wildcards or insufficient coverage for covering indexes.
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