From 7754f7a576455a9cc1b9da418555a0ccffdd22bd Mon Sep 17 00:00:00 2001 From: Mark Date: Sun, 15 Sep 2024 17:11:57 +0800 Subject: [PATCH] fix: SQL query pattern title section in backend roadmap (#7129) --- .../sql-query-patterns--anti-patterns@G9DB1ZQjgXaHxJ4Lm6xGx.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/data/roadmaps/postgresql-dba/content/sql-query-patterns--anti-patterns@G9DB1ZQjgXaHxJ4Lm6xGx.md b/src/data/roadmaps/postgresql-dba/content/sql-query-patterns--anti-patterns@G9DB1ZQjgXaHxJ4Lm6xGx.md index 9d243205e..b1ff4a5b2 100644 --- a/src/data/roadmaps/postgresql-dba/content/sql-query-patterns--anti-patterns@G9DB1ZQjgXaHxJ4Lm6xGx.md +++ b/src/data/roadmaps/postgresql-dba/content/sql-query-patterns--anti-patterns@G9DB1ZQjgXaHxJ4Lm6xGx.md @@ -1,3 +1,3 @@ -# Schema Design Patterns in PostgreSQL +# SQL Query Patterns in PostgreSQL Schema query patterns in PostgreSQL optimize data retrieval and manipulation by using indexes on frequently queried columns to speed up SELECT queries, optimizing joins with indexed foreign keys and appropriate join types, and leveraging table partitioning to limit data scans. Common Table Expressions (CTEs) break down complex queries for better readability and maintainability, while window functions allow advanced analytics within queries. Query caching and prepared statements reduce access times and execution overhead, respectively, and materialized views precompute and store complex query results for faster access. These patterns collectively enhance the efficiency, performance, and reliability of PostgreSQL queries.