PostgreSQL Archives - Page 10 of 13 - The Data Transformation Company

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 […]

Enhancements in PostgreSQL 16 Query Planner/Optimizer: Boosting 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 […]

Optimizing PostgreSQL: A Guide to Troubleshooting Long-Running Queries and Wait Events

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 […]

Implementing the Materialized Path Model in PostgreSQL: A Step-by-Step Guide

The Materialized Path model is a strategy for representing hierarchical data within a relational database system like PostgreSQL. It involves storing the entire path to a node within a tree as a single column value […]

Addressing Performance Bottlenecks in UPDATE and DELETE Intensive PostgreSQL Applications

PostgreSQL Performance Bottlenecks Applications with heavy UPDATE and DELETE operations can become epicenters of PostgreSQL performance bottlenecks, even with optimal indexing in place. This is due to several underlying factors associated with how PostgreSQL manages […]

Key Considerations for Optimizing and Managing PostgreSQL Indexes

PostgreSQL Index Optimization PostgreSQL index optimization is crucial for enhancing database performance, enabling faster record retrieval by efficiently locating rows in a table. Several key factors influence the effectiveness and performance of indexes in PostgreSQL: […]

Optimizing PostgreSQL Performance: Navigating the Use of Bind Variables in PostgreSQL 16

In PostgreSQL, bind variables, also known as parameterized queries or prepared statements, are widely used to execute SQL queries more efficiently and securely. By separating the query structure from the data values, bind variables help […]

Efficient Integration of PostgreSQL 16 with LDAP: Best Practices and Tips

PostgreSQL 16 LDAP Integration Integrating PostgreSQL with LDAP not only centralizes user authentication but also simplifies access management across database instances. As a result, this approach enhances consistency while significantly reducing administrative effort. Furthermore, PostgreSQL [...]