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The article discusses enhancements and changes introduced in PostgreSQL 18, specifically focusing on the RETURNING clause. It highlights new features that improve functionality and performance, making it easier for developers to retrieve data after insert, update, or delete operations. The author also compares these enhancements with previous versions, showcasing the evolution of PostgreSQL capabilities.
The article explores the original goals of the Postgres project and highlights how its creators successfully achieved these objectives. It discusses the foundational principles that guided the development of Postgres and its evolution into a robust database system known for its reliability and advanced features.
The blog post discusses a postmortem analysis of a significant corruption issue experienced with the PostgreSQL database system, detailing the causes, impacts, and lessons learned from the incident. It emphasizes the importance of robust data integrity measures and the need for improved monitoring and response strategies in database management systems.
The article discusses the integration of Multigres with Vitess for PostgreSQL databases, highlighting its capabilities to enhance performance and scalability. It emphasizes the benefits of using Vitess to manage large-scale workloads and improve database efficiency.
The article discusses various methods to intentionally slow down PostgreSQL databases for testing purposes. It explores different configurations and practices to simulate performance degradation, aiding developers in understanding how their applications behave under stress. This approach helps in identifying potential bottlenecks and preparing for real-world scenarios.
The article discusses the implementation of direct TLS (Transport Layer Security) connections for PostgreSQL databases, emphasizing the importance of secure data transmission. It outlines the necessary configurations and steps to enable TLS, enhancing the security posture of database communications. Best practices for managing certificates and connections are also highlighted to ensure a robust security framework.
PostgreSQL 18 introduces significant enhancements, including a new asynchronous I/O subsystem for improved performance, native support for UUIDv7 for better indexing, and improved output for the EXPLAIN command. Additionally, it streamlines major version upgrades and offers new capabilities for handling NOT NULL constraints and RETURNING statements.
The article introduces the new pg_textsearch feature in PostgreSQL, which utilizes true BM25 ranking for enhanced hybrid retrieval capabilities. This update aims to improve search relevance and efficiency within the database, making it a valuable tool for developers and data analysts.
The article discusses techniques for enhancing query performance in PostgreSQL by manipulating its statistics tables. It explains how to use these statistics effectively to optimize query planning and execution, ultimately leading to faster data retrieval. Practical examples and insights into the PostgreSQL system are provided to illustrate these methods.
The article discusses the advantages of indexing JSONB data types in PostgreSQL, emphasizing improved query performance and efficient data retrieval. It provides practical examples and techniques for creating indexes, as well as considerations for maintaining performance in applications that utilize JSONB fields.
The article discusses the exciting new features and improvements introduced in PostgreSQL 18, highlighting enhancements in performance, security, and usability. It emphasizes how these updates position PostgreSQL as a leading database solution for developers and businesses alike. Additionally, the blog encourages readers to explore the potential of PostgreSQL in their projects and applications.
Motion transitioned from CockroachDB to Postgres due to escalating costs and operational challenges, particularly with migrations and ETL processes. The migration revealed better performance with Postgres for many queries, despite some initial advantages of Cockroach’s query planner. The move ultimately streamlined operations and resolved numerous UI and support issues experienced with CockroachDB.
Recall.ai faced significant performance issues with their Postgres database due to the high concurrency of NOTIFY commands used during transactions, which caused global locks and serialized commits, leading to downtime. After investigating, they discovered that the LISTEN/NOTIFY feature did not scale well under their workload of tens of thousands of simultaneous writers. They advise against using LISTEN/NOTIFY in high-write scenarios to maintain database performance and scalability.
The article discusses the PostgreSQL wire protocol, providing insights into how the protocol operates and its significance for database communication. It delves into various aspects of the protocol, including its structure and features, aimed at enhancing the understanding of developers and database administrators.
Postgres replication slots utilize two log sequence numbers (LSNs) — confirmed_flush_lsn and restart_lsn — to manage data streaming and retention effectively. The confirmed_flush_lsn indicates the last acknowledged data by the consumer, while the restart_lsn serves as a retention boundary for WAL segments needed for ongoing transactions. Understanding these differences is essential for troubleshooting replication issues and optimizing WAL retention in production environments.
The article explores a mysterious issue related to PostgreSQL's handling of SIGTERM signals, which can lead to unexpected behavior during shutdown. It discusses the implications of this behavior on database performance and reliability, particularly in the context of modern cloud architectures. The author highlights the importance of understanding these nuances to avoid potential pitfalls in database management.