Indexes are crucial for optimizing query performance in PostgreSQL. However, not all indexes are frequently used, and maintaining unused or underutilized indexes can be a waste of resources. By identifying indexes with low scan counts, you can make informed decisions about which indexes to keep, optimize, or remove. This blog post will guide you through a specific SQL query to retrieve information about such indexes.
The following SQL query helps you identify indexes that have been scanned less than five times. This can indicate that these indexes are not being utilized effectively and may require further investigation.
SELECT s.relname as table_name, s.indexrelname as index_name, i.indisunique as is_unique, s.idx_scan as index_scans FROM pg_stat_user_indexes s INNER JOIN pg_index i ON i.indexrelid = s.indexrelid WHERE s.idx_scan < 5 ORDER BY s.relname, s.indexrelname;
This query joins the pg_stat_user_indexes and pg_index tables to retrieve the table name, index name, uniqueness, and scan count of each index. It filters the results to include only those indexes that have been scanned less than five times.
pg_stat_user_indexes
pg_index
Let's say you run the above query and get the following results:
table_name | index_name | is_unique | index_scans ------------|-------------|-----------|------------- customers | idx_cust_id | true | 2 orders | idx_orderid | false | 3 products | idx_prod_id | true | 0
In this example, the indexes idx_cust_id, idx_orderid, and idx_prod_id have been scanned less than five times. This information can help you decide whether to further investigate these indexes to determine if they are necessary or if they can be removed to improve database performance.
idx_cust_id
idx_orderid
idx_prod_id
Analyzing index usage is a critical part of database management. By identifying underutilized indexes, you can optimize your PostgreSQL database for better performance and resource utilization. The provided SQL query is a powerful tool to help you in this process, allowing you to make informed decisions about index maintenance.