PostgreSQL employs sophisticated mechanisms for storage and indexing of tables, effectively leveraging its extensible architecture to optimize data retrieval and maintain data integrity. Moreover, understanding these mechanisms enables you to optimize database performance while ensuring […]
The unnest() function in PostgreSQL is a powerful tool that expands arrays into individual rows in query results. It effectively transforms each element of an array into its own row, allowing easier manipulation and analysis […]
Fragmented PostgreSQL Infrastructure A fragmented PostgreSQL infrastructure can significantly impact several critical aspects of database management, including performance, scalability, high availability, reliability, and data security. Fragmentation in this context can refer to both data fragmentation […]
Impact of Missing Statistics on PostgreSQL Comparing PostgreSQL performance with and without up-to-date statistics can significantly illustrate the importance of statistics for database performance, particularly in query planning and execution efficiency. PostgreSQL uses statistics gathered […]
Outdated statistics in PostgreSQL can cause suboptimal query plans, significantly impacting the performance of your database queries. PostgreSQL relies on statistics collected by the ANALYZE command, which runs manually or automatically through the autovacuum daemon. […]
The pg_wal directory (formerly known as pg_xlog in versions before PostgreSQL 10) is a crucial component of PostgreSQL, storing Write-Ahead Logging (WAL) files. These files are essential for data durability and crash recovery, as they record […]
Broken foreign keys in PostgreSQL, or any relational database system, refer to a situation where a foreign key value in one table does not have a corresponding primary key value in another table. This scenario […]
Troubleshooting statistics and cost estimation in PostgreSQL is crucial for understanding and optimizing query performance. PostgreSQL uses statistics to make informed decisions about the best way to execute queries, including which indexes to use and […]
PostgreSQL 16 brings significant enhancements to its query planner/optimizer, directly influencing performance, scalability, and reliability. Here are some key improvements and their impacts: Parallelization of FULL and RIGHT Joins PostgreSQL 16, moreover, has introduced the […]
Troubleshooting long-running queries in PostgreSQL and identifying wait events, along with insights into application and session operations, involves several steps. This process helps in pinpointing the root cause of performance issues and in formulating appropriate […]
PostgreSQL is a registered trademark of the PostgreSQL Community Association. ClickHouse is a registered trademark of ClickHouse, Inc. MongoDB is a registered trademark of MongoDB, Inc. Couchbase is a registered trademark of Couchbase, Inc. Redis is a registered trademark of Redis Ltd. Apache Cassandra is a registered trademark of the Apache Software Foundation. Milvus is a registered trademark of Zilliz. MinIO is a registered trademark of MinIO, Inc. Amazon Redshift and Amazon Aurora are registered trademarks of Amazon.com, Inc. Google Cloud is a registered trademark of Google LLC. Snowflake is a registered trademark of Snowflake Inc. Databricks is a registered trademark of Databricks, Inc. MySQL and InnoDB are registered trademarks of Oracle Corporation. Oracle is a registered trademark of Oracle Corporation. MariaDB is a trademark of MariaDB Corporation Ab. All other trademarks are property of their respective owners. Other product or company names mentioned may be trademarks or trade names of their respective owner. Copyrights © 2010-2025. All Rights Reserved by MinervaDB®.