Get Your SQL Statements Right The First Time With SQL Lint

What’s your average success rate of getting a SQL statement right on the first try? In best case, you botched a simple statement without side effects and just have to try again with correct syntax or remove that typo from a table name, but things can easily go wrong fast here. But don’t worry, the days of fixing it on the fly can be over, thanks to [Joe Reynolds] who wrote a linter for SQL.

A linter parses code to tell you where you screwed up. While checking SQL syntax itself is somewhat straightforward, [Joe]’s sql-lint tool will also check the semantics of it by looking up the actual database and performing sanity checks on it. Currently supporting PostgreSQL and MySQL, it can be either run on a single SQL file or a directory of files, or take input directly from the command line. Even better, it also integrates within your editor of choice — assuming it supports external plugins — and the documentation shows how to do that specifically for Vim.

If you can look past the fact that it’s written in TypeScript and consequentially results in a rather large executable (~40 MB), it might serve as an interesting starting point for the language itself, or adds a new perspective on writing this type of analyzer. And if databases aren’t your terrain, how about shell scripts?

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Warnings On Steroids – Static Code Analysis Tools

A little while back, we were talking about utilizing compiler warnings as first step to make our C code less error-prone and increase its general stability and quality. We know now that the C compiler itself can help us here, but we also saw that there’s a limit to it. While it warns us about the most obvious mistakes and suspicious code constructs, it will leave us hanging when things get a bit more complex.

But once again, that doesn’t mean compiler warnings are useless, we simply need to see them for what they are: a first step. So today we are going to take the next step, and have a look at some other common static code analysis tools that can give us more insight about our code.

You may think that voluntarily choosing C as primary language in this day and age might seem nostalgic or anachronistic, but preach and oxidate all you want: C won’t be going anywhere. So let’s make use of the tools we have available that help us write better code, and to defy the pitfalls C is infamous for. And the general concept of static code analysis is universal. After all, many times a bug or other issue isn’t necessarily caused by the language, but rather some general flaw in the code’s logic.

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