MySQL Consulting - MySQL Support - MySQL Remote DBA - PostgreSQL Consulting - PostgreSQL Support - PostgreSQL Remote DBA

PostgreSQL Aggregate Functions: A Comprehensive Guide

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, […]

PostgreSQL Table Storage and Indexing 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 […]

PostgreSQL Unnest Function: 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 […]

Missing Statistics in PostgreSQL: Evaluating the Impact on 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Optimizing Query Performance: Troubleshooting and Resolving Outdated Statistics in PostgreSQL

Outdated statistics in PostgreSQL can cause suboptimal query plans, significantly impacting the performance of your database queries.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

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 […]

Preventing Broken Foreign Keys in PostgreSQL: Causes and Solutions

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 […]

Optimizing Query Performance: Tips for Troubleshooting PostgreSQL Statistics and Cost Estimation

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 Query Optimizer: Enhancements for Performance, Scalability, and Reliability

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 […]

* Everything changes over time – Our blogs/posts and comments changes over time, That’s how it should be! Whatever we comment from MinervaDB Inc. Teams (including Shiv Iyer) and other stakeholders or guest bloggers posted here are never permanent, These things worked for us. But, there is no guarantee they will work for you too, When using the recommendations from ChistaDATA or MinervaDB or MinervaSQL or any other online resources / Google, You must test the advice before applying them to your production systems, and always invest for a robust Database DR solution, Thank you for understanding.

Discounts are applicable only for multi-year contracts / long-term engagements, We don’t hire low-quality and cheap rookie consultants to manage your mission-critical Database Systems Infrastructure Operations and so our consulting rates are competitive. Being a virtual corporation (no physical offices anywhere in the world), whatever you pay go directly to our consultant’s fee. It’s impossible for us to offer you low-cost consulting, support and remote DBA services with elite-class team, Thanks for understanding and doing business with MinervaDB.

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](http://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. MariaDB is a trademark of MariaDB Corporation Ab. All other trademarks are the property of their respective owners. Copyright © 2010–2026. All Rights Reserved by MinervaDB®.

→ Index

The Data Transformation Company

Data Architecture, Engineering and Operations for SQL, NoSQL, NewSQL, Cloud Native Data Platforms, Analytics and AI

PostgreSQL DBA