Efficient PostgreSQL Backup Strategies: Leveraging pgBackRest for Performance & Recovery

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In continuation of our blog series on effectively implementing backup strategies in a production environment, this article delves into the topic of Efficient PostgreSQL Backup Strategies: Leveraging pgBackRest for Performance & Recovery and how it enhances database reliability. pgBackRest is a robust, open-source backup and restore tool for PostgreSQL, designed for scalability and high-performance databases.…

Optimizing PostgreSQL Performance with pg_prewarm

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In this blog post, I will showcase a demonstration of PostgreSQL performance with pg_prewarm in PostgreSQL 16.1 PostgreSQL is a powerful open-source database that comes with several extensions to enhance its functionality. One such extension is pg_prewarm, which is particularly useful for optimizing PostgreSQL performance with pg_prewarm after a restart by preloading relation data into…

Database Migration from postgres to mysql using pg2mysql tool

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Introduction In today’s dynamic corporate climate, data migration between database systems is a deliberate move that coincides with changing organizational demands. This block describes the migration of PostgreSQL to MySQL. This change necessitates meticulous preparation to handle possible issues and guarantee smooth interaction with existing business procedures.   Basic Differences PostgreSQL Advanced Feature Set: PostgreSQL…

Troubleshooting IO Issues in Aurora PostgreSQL: Understanding StorageNetworkThroughput Limits

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Aurora PostgreSQL is a robust, cloud-native database solution known for its scalability, high availability, and managed services. One of its standout features is the virtually unlimited IOPS (Input/Output Operations Per Second) and throughput at the storage layer. However, while the storage layer itself may not impose limits, the instances running Aurora PostgreSQL have specific thresholds…

Stop Catalog Bloat: Boost PostgreSQL Performance by Replacing Temporary Tables

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Recently, we encountered an issue where catalog queries executed by the drivers during session creation were taking significantly longer than expected. These queries, managed by PHP drivers, were impacted by a performance bottleneck. Due to this user session creations are taking more time. Upon investigation, I discovered that the pg_attribute and pg_class system catalog tables…

PostgreSQL 17’s New Backup Feature: Incremental Backups

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Introduction With the release of PostgreSQL 17, a game-changing feature has arrived: incremental backups. In prior versions, such as PostgreSQL 16 and earlier, users could only perform full backups. This approach, while reliable, had its drawbacks—particularly the time it took to complete these backups and the storage they required. Previously, users relied on WAL (Write-Ahead…

Hypothetical Indexes in PostgreSQL: Enhancing Performance Without the Overhead

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Introduction Indexes are essential for speeding up query execution in PostgreSQL, but determining whether an index will be utilized in the execution plan can be challenging without actually creating it. However, on large tables, index creation can be time-consuming and resource-intensive. This is where virtual, or hypothetical, indexes come into play—they allow you to assess…

A Glimpse into the Future: Series of What’s New in PostgreSQL16 ?

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On September 14, 2023, the PostgreSQL Global Development Group introduced PostgreSQL 16, marking the latest release of the renowned open-source database. This version brings significant enhancements in performance, particularly in query parallelism, bulk data loading, and logical replication, including expanded SQL/JSON syntax, additional monitoring statistics for workloads, and heightened flexibility in setting access control rules…

Optimizing Initial Sync for Large Databases in RDS PostgreSQL using pg_dump in Logical Replication

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PostgreSQL provides a built-in logical replication system based on the publish/subscribe model, where a publisher publishes data changes to a publication, and a subscriber subscribes to the publication and receives the changes. Logical replication can be configured and managed using SQL commands and functions or third-party tools and libraries. The user creates the publication on…