So you've outgrown MySQL. Maybe you need better JSON support, real window functions, or you're moving to a managed cloud database that defaults to Postgres. Whatever the reason — MySQL to PostgreSQL migration trips up almost everyone the first time. The two dialects look similar but behave very differently under the hood. Why MySQL Dumps Don't Import Directly into PostgreSQL users ( id INT(11) NOT
Inside the five-stage pipeline from 1.1.1, there is another fork right after the parser. PostgreSQL classifies every SQL command into one of two camps. One side holds the optimizable queries, the other holds the utility commands. The classification is decided by a single field on the Query node, commandType, and from that point on the two camps travel completely different paths. One goes through t
Table of Contents Introduction Environment Requirements Core Features Core Design and Code Analysis Actual Execution Demo Architecture Overview How You Can Expand Future Plans & Conclusion What is this It is a basic debugger, running on Linux and implemented in C++, aiming to create a debugger that is easy to read and expand. In addition, Lavender's main function is to help users analyze the logic
I Couldn’t Write a SQL Query Today… So I Started Learning SQL from Scratch (Day 1) A beginner’s journey into SQL, databases, and understanding how data powers real-world applications. Today, I got stuck on something that should have been simple. I had to write a SQL query to fetch specific data… And I couldn’t. I tried multiple times: Different queries Different approaches Guessing syntax
SQLite Internals & PostgreSQL Multi-Master Replication Updates Today's Highlights This week's database highlights include critical technical discussions from the SQLite forum regarding optimizer behavior and trigger affinity changes, alongside the release of Spock 5.0.7, bringing enhanced logical multi-master replication to PostgreSQL. Source: https://sqlite.org/forum/info/819f2d6627c
I was called at my firm for having to create a analytics dashboard for a multiTenet CRM dashboard where the magnitude of rows were in thousands and the efficiency i could not blame postgress or servers I had to figure out how to index, query and cache the data. The business questions were something like this Give the sales agents aggregated sales data from the month of January, till the current m
The Autonomous Paradox In 2026, we’ve moved past simple chatbots. We are building Production-Grade RAG pipelines and autonomous agents that can plan, execute, and iterate. But as an architect, I’ve noticed a glaring hole in our "Agentic" future: Identity Sprawl. We are giving agents non-human identities (NHI) with "Full Admin" permissions just to ensure the RAG works smoothly. We are effectively
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