Introduction: In the digital age, businesses cannot afford to overlook the importance of disaster recovery. With increasing reliance on data, system outages or data loss can have catastrophic consequences, leading to significant disruptions and financial […]
Isolation levels in PostgreSQL play a crucial role in ensuring the consistency, performance, and scalability of your applications. By understanding and selecting the appropriate isolation level, you can develop optimal and scalable PostgreSQL-based applications. Let’s […]
In PostgreSQL, you can gather statistics only when they become stale by using the pg_stat_statements extension along with the track_activity_query_size configuration parameter. Follow these steps to achieve this: CREATE EXTENSION pg_stat_statements; 3. Query the pg_stat_statements […]
In PostgreSQL, several reasons can cause SQL statement plans to worsen over time. These changes may lead to decreased query performance and unexpected behavior. Below are some common factors that contribute to deteriorating SQL statement […]
Concurrent statistics gathering in PostgreSQL allows the system to collect table and column statistics without blocking concurrent read and write operations. As a result, this feature ensures accurate and up-to-date statistics while minimizing the impact […]
In PostgreSQL, you can force a query to use bind-aware cursor sharing by utilizing the CURSOR_SHARING parameter. By setting CURSOR_SHARING to ‘FORCE’, PostgreSQL will attempt to share cursors for similar queries with different literal values. […]
PostgreSQL’s query optimizer (or planner) creates optimal execution plans for SQL queries by evaluating multiple possible plans and selecting the fastest one. [^1] Understanding PostgreSQL’s Approach to Optimizer Hints PostgreSQL takes a deliberately cautious approach […]
PostgreSQL Execution Plan In PostgreSQL, you can obtain the execution plan with runtime information using the EXPLAIN (ANALYZE, VERBOSE) command. This command in particular, provides a detailed execution plan along with actual runtime information, including […]
PostgreSQL‘s query optimizer (or planner) creates optimal execution plans for SQL queries by evaluating multiple possibilities and selecting the fastest approach. [^1] As a result, it plays a central role in ensuring efficient query execution. […]
Introduction: Adaptive joins are an exciting feature in PostgreSQL. They dynamically adjust the join method during query execution to optimize performance. This article explores adaptive joins in PostgreSQL, their benefits, and how they can improve […]
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