SELECT * FROM users WHERE id = ? AND name = ?; Now you can compare the fingerprints of your slow queries against your fast ones. If two logical queries have different fingerprints, you know the application code is the culprit. Let’s say you are debugging a slow application endpoint. Here is how stmtk changes the workflow:
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? stmtk tool
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. SELECT * FROM users WHERE id =
When a statement fails—or worse, runs slowly —most of us fall back to the same old tools: EXPLAIN , manual logging, or copy-pasting into a GUI. But there is a newer, sleeker command-line utility that deserves a spot in your toolkit: . Let’s say you are debugging a slow application endpoint
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."
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.