Vedran B.’s Post

**🚀 Mastering PostgreSQL: A Comprehensive Roadmap** If you're diving into PostgreSQL, this roadmap is your ultimate guide! From basic RDBMS concepts to advanced optimization techniques, this visual blueprint covers everything you need to become proficient in PostgreSQL. Whether you're a beginner just getting started or a seasoned pro looking to refine your skills, this roadmap has something for everyone. 💡 Key highlights: - **Introduction to PostgreSQL**: Get acquainted with the basics. - **Infrastructure Skills**: Master installation, security, and backup procedures. - **SQL Optimization**: Learn the best practices for efficient querying. - **Automation & Scripting**: Streamline your workflows with custom scripts. Check out the roadmap and start your journey to becoming a PostgreSQL expert today! **#PostgreSQL #DatabaseManagement #DataEngineering #TechRoadmap #SQL #BackendDevelopment #Automation #TechSkills #DataScience #LearningPath**

🚀 Database Optimization Journey with PostgreSQL 🚀 I recently published two articles on Medium about my experience with optimizing a massive PostgreSQL database to improve performance and reclaim space: 1️⃣ Efficiently Deleting Billions of Records: I tackled the challenge of batch deleting 21 billion rows without downtime. Learn why I chose batch deletion, used raw SQL over ActiveRecord, and how I managed the process seamlessly. https://lnkd.in/eS8bPi_r 2️⃣ Removing Table Bloat for Better Performance: After deletion, bloat remained a problem. My follow-up article explains techniques like VACUUM, autovacuum tuning, and bloat monitoring to keep PostgreSQL tables lean and efficient. https://lnkd.in/e-ErZFz5 #PostgreSQL #DatabaseOptimization #Backend #RubyOnRails #WebDevelopment

PostgreSQL 17 Release: Enhanced Performance and New Features! The new version of PostgreSQL has arrived with significant improvements in performance and functionality. 🔵 Faster VACUUM Command: The database cleanup and optimization process is now quicker, consuming 20 times less memory. 🔵 Boosted Write Operations: Enhanced Write-Ahead Logging (WAL) processing has doubled the write throughput, especially in systems with high concurrent query loads. 🔵 Advanced JSON Functions: New functions like JSON, JSON_SCALAR, JSON_SERIALIZE, JSON_EXISTS, JSON_QUERY, and JSON_VALUE have been added, along with support for JSON-TABLE, which converts JSON data into standard PostgreSQL tables. 🔵 Enhanced MERGE Functionality: Expanded capabilities and support for the RETURNING clause have been introduced. #PostgreSQL #Database #TechNews #DataEngineering

🔍 Delving deep into PostgreSQL's code has been an interesting journey over the past few days, Have been Building backend APIs and wielding SQL queries for few years now, so exploring PostgreSQL's inner workings has been a natural progression. One particularly intriguing aspect I unearthed is PostgreSQL's extension API, which empowers developers to extend the database's functionality seamlessly. In the snippet below, we define a simple PostgreSQL extension that prints "Hello, world!" to the server log. It's remarkable to witness how PostgreSQL's extension framework enables us to integrate custom functionalities directly into the core engine. PostgreSQL provides commands like CREATE EXTENSION to install extensions. When an extension is installed, PostgreSQL loads the extension module and executes any necessary setup or initialization code defined by the extension. #PostgreSQL #BackendDevelopment #ExtensionAPI #OpenSource #Database #TechnicalInsights 💻📚

Streamed I/O, which came within PostgreSQL 17, aims to optimize these read operations by allowing multiple pages to be read with a single system call. How Streamed I/O Works 1. When PostgreSQL determines it’s likely to need multiple consecutive pages (e.g., during a sequential scan), it predicts how many pages it might need. 2. Instead of making multiple pread calls, PostgreSQL uses a single system call to read multiple pages at once. 3. The new approach uses the preadv system call, which stands for “vectorized pread”. This allows reading into multiple buffers with a single call. You can see the example usage of preadv in below image, This single call reads three 8KB pages into three separate buffers. #Database #PostgreSQL PostgreSQL Global Development Group

#postgreSQL #DEVELOPER #ANALYST Here's a simplified guide on how to learn PostgreSQL: When you're starting to learn PostgreSQL, it's important to start with the basics and then learn more step by step. Here's a plan to help you learn PostgreSQL. 1. Understand what a database is. 2. Install PostgreSQL. 3. Start with the basics of PostgreSQL commands. 4. Learn about the various data types in PostgreSQL. 5. Creating and managing tables. 6. Searching for and sorting data. 7. Ensuring data changes are safe. 8. Learning more advanced concepts. 9. Practicing regularly. 10. Utilizing available resources.

How to use PostgreSQL® SUBSTRING

🔗 𝐔𝐧𝐥𝐨𝐜𝐤 𝐭𝐡𝐞 𝐏𝐨𝐰𝐞𝐫 𝐨𝐟 𝐂𝐨𝐧𝐬𝐭𝐫𝐚𝐢𝐧𝐭𝐬 𝐢𝐧 𝐏𝐨𝐬𝐭𝐠𝐫𝐞𝐒𝐐𝐋! 🔗 Ever wondered how to keep your data organized and error-free in PostgreSQL? In this tutorial, learn about Constraints and their role in maintaining data quality and database integrity. We cover Primary Keys, Foreign Keys, Unique, Not Null, and Check constraints—essential tools for every database professional. 🎓 Perfect for data enthusiasts, developers, and tech professionals looking to sharpen their database skills! #PostgreSQL #DataManagement #DatabaseIntegrity #SQLTutorial #ProgrammingSkills #DataEngineering #TechEducation #DataAnalytics

Maximizing PostgreSQL: Advanced Techniques for Better Performance

🚀 Exciting News from the Database World! 🌟 PostgreSQL 17 RC1 has just been released, bringing a host of new features and improvements. PostgreSQL continues to innovate and solidify its position as a top choice for robust, scalable databases. Plaese check the link for further information : https://lnkd.in/gKxuP_gk   Stay ahead in the world of databases with PostgreSQL's latest release!   #PostgreSQL #Release #DatabaseManagement #SQL #DataSecurity #TechInnovation