Skip to main content

SQL Server silently renames your user when you ALTER with a login

With all this AI features available, you would expect that you no longer loose time on stupid issues. Unfortunately, we are not there yet. I lost a chunk of time today to a behavior in SQL Server that, once you know it, is totally obvious — but until then is absolutely maddening. I'm sharing it here so hopefully you don't lose the same time I did.

The setup

I had a script meant to be idempotent: create a database user if it doesn't exist, or update it if it does. Standard stuff. Here's a simplified version:

Looks fine, right? Run it once — works. Run it a second time and SQL Server throws an error saying it can't find usr_SampleDB_reader. The user you just created. In the same database. With the same script.

What's actually happening

When you run ALTER USER [...] WITH LOGIN = [...], SQL Server renames the user to match the login name — by default, silently, without a warning.

So after the first run, usr_SampleDB_reader no longer exists. It's been renamed to lg_SampleDB_dev_db-reader to match the login. The second run's IF EXISTS check looks for usr_SampleDB_reader, finds nothing, and falls into the ELSE branch — where the CREATE USER fails because the login is already mapped to a user (just under a different name now).

It's one of those behaviors that makes sense once you understand the data model, but gives you zero indication it's happening while it's happening.

The fix

Explicitly tell SQL Server to keep the username as-is by adding NAME = to the ALTER USER statement:

Adding WITH NAME = [usr_IVO_reader] tells SQL Server: yes, remap the login, but don't touch the username. Now the script is actually idempotent.

Why does SQL Server do this?

SQL Server maintains a distinction between logins (server-level principals) and users (database-level principals). When you link a user to a login via ALTER USER ... WITH LOGIN without specifying a name, SQL Server assumes you want them in sync — so it renames the user to match the login. It's following a convention, just not one you'd expect if you're used to treating usernames as stable identifiers.

Once you know this, the fix is obvious. Getting there the first time, though? Less so.

Popular posts from this blog

Podman– Command execution failed with exit code 125

After updating WSL on one of the developer machines, Podman failed to work. When we took a look through Podman Desktop, we noticed that Podman had stopped running and returned the following error message: Error: Command execution failed with exit code 125 Here are the steps we tried to fix the issue: We started by running podman info to get some extra details on what could be wrong: >podman info OS: windows/amd64 provider: wsl version: 5.3.1 Cannot connect to Podman. Please verify your connection to the Linux system using `podman system connection list`, or try `podman machine init` and `podman machine start` to manage a new Linux VM Error: unable to connect to Podman socket: failed to connect: dial tcp 127.0.0.1:2655: connectex: No connection could be made because the target machine actively refused it. That makes sense as the podman VM was not running. Let’s check the VM: >podman machine list NAME         ...

Cache stampede: when our cache turned against us

While investigating some performance issues, we ran into an ASP.NET Core API that cached a fairly expensive aggregation query for 60 seconds. Under normal load, that was fine: one request rebuilds the cache, everyone else reads from it. Under peak load, dozens of requests would arrive in that same expiry window, all see a cache miss, and all fire the same expensive query in parallel. The database didn't like that. That was the moment when our caching layer stopped helping and started hurting. A burst of requests comes in at the same time, all miss the cache, and all go hammer the database or the downstream API at once. That's a cache stampede . The cache was supposed to protect our backend, and for a few hundred milliseconds it did the opposite. Why this happens IMemoryCache.GetOrCreate (and its async sibling) looks like it protects you, but it doesn't add any locking on its own. Look at the naive version: public async Task<Report> GetReportAsync(string key) ...

Azure DevOps/ GitHub emoji

I’m really bad at remembering emoji’s. So here is cheat sheet with all emoji’s that can be used in tools that support the github emoji markdown markup: All credits go to rcaviers who created this list.