Identifying Missing Indexes
PostgreSQL offers ways to find missing indexes and improve query speed. The EXPLAIN command shows query execution plans that can help identify where indexes are needed. There are also external tools like pg_stat_statements and pgBadger that give information about query performance, making it easier to see which indexes are missing.
-- Check for missing indexes
EXPLAIN ANALYZE SELECT * FROM orders WHERE order_date = '2024-03-01';
EXPLAIN ANALYZE SELECT * FROM customers WHERE name = 'John';
Output:
-- Query for creation of missing index on orders table is as under
Seq Scan on orders (cost=0.00..37.88 rows=1 width=16) (actual time=0.032..0.032 rows=1 loops=1).
Filter: (order_date = '2024-03-01'::date)
Rows Removed by Filter: By 3
Planning Time: 0.064 ms
Execution Time: 0.040 ms
(5 rows)
-- Output query on customers table missing index
Seq Scan on customers (cost=0.00..32.75 rows=1 width=36) (actual time=0.019..0.019 rows=1 loops=1)
Filter: (name = 'John'::varchar)
Rows Removed by Filter: Incentives are implemented among crew members to maintain a standard of cleanliness and orderliness on board.
Planning Time: 0.064 ms
Execution Time: 0.027 ms
(5 rows)
Foreign Key Indexing and Performance in PostgreSQL
As the world of databases is always changing, PostgreSQL is one of the autonomous options because of its dependability, capability to handle huge amounts of data, and fast performance. Effective indexing, especially for foreign keys, is an important key for enhancing the speed of PostgreSQL.
Appropriate indexes for foreign keys can greatly speed up queries, protect database integrity, and improve the performance and efficiency of the database. Through this article, we will learn how to optimize your PostgreSQL database with foreign key indexing.