PostgreSQL Query Rewriting Techniques The previous articles in this series covered performance problems you fix by adding indexes, restructuring joins, or tuning memory. This one is about the queries where the plan is "fine" — every node is doing something reasonable — but the query itself is asking the wrong question, producing unnecessarily large intermediate results or forcing the planner dow
Originally published at ffmpeg-micro.com You need a thumbnail from a video file. Maybe you're building a video gallery, generating preview images for a CMS, or creating social media cards from uploaded content. The usual advice is to install FFmpeg on your server and write extraction scripts. That works until you need it in production. FFmpeg can extract a single frame from any video using two fla
บทนำ (Introduction) ในฐานะนักพัฒนา เรามักจะหลงใหลในวิธีการที่แพลตฟอร์มระดับโลกจัดการกับการแพร่ภาพมัลติมีเดียจำนวนมหาศาล VKontakte (VK.com) ซึ่งเป็นเครือข่ายโซเชียลที่ใหญ่ที่สุดในยุโรปตะวันออก ไม่ได้เป็นเพียงแค่แอปพลิเคชันโซเชียลทั่วไป แต่ในมุมมองทางวิศวกรรม มันคือหนึ่งในระบบ Content Delivery Network (CDN) ที่ก้าวหน้าที่สุด โดยใช้การสตรีมแบบ Adaptive Bitrate (ABR) และกลยุทธ์ความปลอดภัยที่เข้มงวดเ
SQL is widely known for data querying and manipulation but systems do grow; data becomes larger; processes become repetitive and operations become sensitive. SQL has some features which enables it to be considered a fully fledged programming language. Some of the features which I discuss in this article are procedures, functions and transactions. Each of these concepts serve distinct purposes. Sto
Hi 👋, In this post we shall explore Bedrock's structured KB with this architecture: Upload CSVs to S3 > SNS Queue > Crawl data with Glue > Query with Redshift > Bedrock KB > Query with LLM. Let's do some of this with code. Let's get started. Clone the repo and switch to the project directory. git clone [email protected]:networkandcode/networkandcode.github.io.git cd structured-kb-demo/ Do a uv sync
Subqueries vs. CTEs in SQL: A Practical Guide to Writing Cleaner, Smarter Queries Whether you're just getting comfortable with SQL or leveling up your data skills, two tools will come up again and again when working with complex queries: subqueries and Common Table Expressions (CTEs). They solve similar problems — breaking a complex query into manageable pieces — but they do it in different ways
In a previous post, I explored Codd's connection trap in PostgreSQL and MongoDB — the classic pitfall where joining two independent many-to-many relationships through a shared attribute produces spurious combinations that look like facts but aren't. The example followed Codd's 1970 suppliers–parts–projects model: we know which suppliers supply which parts, and which projects use which parts, but j
Automating Hermitage to see how transactions differ in MySQL and MariaDB