Skip to main content

How to set the package version when using dotnet pack

With the dotnet pack command you can build a project and create a Nuget package.

By default, when you execute this command the package version will be set to 1.0.0. If you want to specify the package version you can either set the Version or the PackageVersion in your csproj file:

If you are using the Version parameter both the FileVersion of the embedded dll and the NuGet package version will be updated. Using the PackageVersion will only impact the version number of the NuGet package. By default, PackageVersion takes the same value as Version.

You can override the package version at pack time by using the PackageVersion parameter :

dotnet pack /p:PackageVersion=1.2.3-beta

It is also possible to set a VersionPrefix and VersionSuffix. The VersionPrefix allows you to set a “base” version number. This can be combined with a VersionSuffix to create the final version.

For example, when you set the VersionPrefix to 1.2.3 and VersionSuffix to beta, the Version will be set to 1.2.3-beta.

You can control the VersionSuffix at pack time using the --version-suffix parameter:

dotnet pack --version-suffix beta

Remark: If you have set the PackageVersion using the --version-suffix will have no effect.

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) ...

A complex system designed from scratch never works

A few years ago, I worked as an architect on a big mainframe rewrite. I still count it as one of my failures. Not because the technology was wrong, but because I couldn't convince the management team to simplify the approach. Years later, the organization is still struggling to get the new system up and running. I left the project at the time, because I couldn't put my name behind an approach that would take very long and cost a lot of money without a working system to show for it along the way. Gall’s Law That memory keeps coming back to me, because it's a textbook case of Gall's Law playing out in real life. Gall's Law , from John Gall's Systemantics , states it plainly: A complex system that works is invariably found to have evolved from a simple system that worked. A complex system designed from scratch never works, and it cannot be patched to make it work. You have to start over with a simple system that works. What does that mean in practice,...