In PostgreSQL, there are several reasons why SQL statement plans can change for the worse over time. These changes can result in decreased query performance and unexpected behavior. Here are some common factors that can […]
Concurrent statistics gathering in PostgreSQL allows for collecting table and column statistics without blocking concurrent read and write operations. This feature helps ensure accurate and up-to-date statistics while minimizing the impact on database performance. Here’s […]
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 […]
In PostgreSQL, you can obtain the execution plan with runtime information using the EXPLAIN (ANALYZE, VERBOSE) command. This command provides a detailed execution plan along with actual runtime information, including the number of rows processed, […]
PostgreSQL’s query optimizer (or planner) creates optimal execution plans for SQL queries by evaluating multiple possibilities and selecting the fastest approach. [^1] Understanding PostgreSQL’s Query Planning Process The PostgreSQL query planner follows these general steps: […]
Introduction: Adaptive joins are an exciting feature in PostgreSQL that 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 […]
In PostgreSQL, the optimizer selects which indexes to use for query execution based on cost-based optimization. The goal is to choose the most efficient index or combination of indexes that minimize the total cost of […]
In PostgreSQL, plans are implemented using the query execution plan generated by the query optimizer. Aggregation and spool operations are key components in query plans that allow for efficient processing of aggregate queries. Let’s explore […]
User-Defined Functions (UDFs) in PostgreSQL allow you to define custom functions to extend the functionality of the database. UDFs can be written in various programming languages, such as SQL, PL/pgSQL, Python, or any other language […]
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