MinervaDB Blog: Mastering WebScale Database Infrastructure

How do Bloom Indexes work in PostgreSQL?

Bloom indexes in PostgreSQL are a specialized type of index that provides an efficient way to test whether an element is a member of a set. They are particularly useful for speeding up queries involving […]

Comprehensive Guide to Aggregate Functions in PostgreSQL

PostgreSQL is equipped with a robust suite of statistical functions that are essential for performing detailed data analysis directly within the database. These functions allow users to calculate various statistical measures, such as averages, variances, […]

Exploring PostgreSQL: How Tables are Stored and Indexed for Optimal Performance

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 […]

Understanding the Unnest Function in PostgreSQL: Transforming Arrays into Rows

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 […]

Impact of Fragmented PostgreSQL Infrastructure on Performance, Scalability, and Security

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 […]

Evaluating the Impact of Missing Statistics on PostgreSQL Query Performance

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 […]

Optimizing Query Performance: Troubleshooting and Resolving Outdated Statistics in PostgreSQL

Outdated statistics in PostgreSQL can cause suboptimal query plans, significantly impacting the performance of your database queries.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. […]

How to implement Index Usage Tracking in PostgreSQL?

Implementing index usage tracking in PostgreSQL starts with leveraging the database’s built-in statistics views to monitor index activity. Specifically, you can use pg_stat_user_indexes and pg_stat_all_indexes to track how the query planner utilizes indexes. This tracking […]

The Impact of Log File Synchronization on InnoDB Performance and Durability

Log File Synchronization in InnoDB Log file synchronization plays a crucial role in the performance and reliability of MySQL’s InnoDB storage engine. The efficiency and speed of log file synchronization directly impact database throughput, latency, […]

Managing Excessive Growth of pg_wal in PostgreSQL: Causes and Solutions

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 […]

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