We spend a lot of time talking about massive data pipelines, cloud warehouses, and complex ETL frameworks. But what about the humble SQL statement? The single SELECT , the 50-line UPDATE , or the terrifying MERGE that runs once a quarter?
echo "SELECT * FROM orders WHERE total > 100" | stmtk analyze --dialect generic stmtk won't replace your database monitoring stack. It won't tune your work_mem for you. But it will fill the gap between "I typed a query" and "The query ran." stmtk tool
Copy the slow query from logs -> Paste into EXPLAIN -> Stare at sequential scan -> Guess which index to add -> Deploy -> Pray. We spend a lot of time talking about
If you’ve ever spent an hour trying to figure out why a parameterized query is suddenly performing a full table scan, read on. stmtk is a CLI tool designed for the hard problems of SQL statement analysis. It sits between your terminal and your database, acting as a linter, a parser, and a profiler all in one. echo "SELECT * FROM orders WHERE total >
It treats SQL as code , not just as a string to ship over a wire. For platform engineers, DBREs, and backend developers who hate guessing games, stmtk is a breath of fresh air.
Have you used stmtk in production? What’s your favorite hidden flag? Let me know in the comments. Note: This post is based on the conceptual tooling pattern of stmtk . For the actual latest commands and installation instructions, check the official repository.