A Beginner’s Guide to Sharding PostgreSQL with Citus

PostgreSQL is a powerful and open-source relational database system known for its reliability, flexibility, and advanced features. It handles complex queries, ensures data integrity, and can be extended to meet various needs, making it a popular choice for many applications. However, as your data grows and the number of transactions increases, scaling PostgreSQL can be challenging.
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Locks in PostgreSQL – Concurrency Benefits and Performance Challenges

PostgreSQL provides robust support for concurrency control through various locking mechanisms. Locks are critical in managing access to data and ensuring consistency and integrity in concurrent environments. Among these mechanisms, exclusive locks play a pivotal role in maintaining data integrity by preventing concurrent modifications.
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Enhancing PostgreSQL Performance Monitoring: A Comprehensive Guide to pg_stat_statements

PostgreSQL has a rich set of features designed to handle complex queries efficiently. Much like any database system, however, its performance can degrade over time due to inefficient queries, improper indexing, and various other factors. To tackle these challenges, PostgreSQL provides several tools and extensions, among which `pg_stat_statements` stands out as a critical component for performance monitoring and tuning.Introduction to pg_stat_statements`pg_stat_statements` is an extension for PostgreSQL that tracks execution statistics of SQL statements. It is designed to provide insight into the performance characteristics of database queries by collecting data on various metrics such as execution time, number of calls, and I/O operations. This extension is immensely useful for database administrators and developers looking to optimize their SQL queries and improve overall database performance.
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