Skip to main content

NuGet packages, project references and wrong use of packages

In today post I will talk about what you should never do when you are using NuGet.
We have an application developed 2-3 years ago. Coming to V2, means also uprating different version of stacked used like Entity Framework, Unity and so on. When the first version was develop, each package from NuGet was installed in one or two project and added as assembly reference in the other one. Until now everything sounds good.

But there is a small mistake. When you reference the assemblies in the other project, you are referring them something like this “../packages/FooPackage 1.2.3”. When you will upgrade the package using NuGet, the references to the package in the projects where package was installed are updated to the new version of the package. But, in the project where there are only references to the assemblies from the package nothing will happen.

This means that you will end up with two version of the same stack (package) in the same application. This is the dream of every developer. In each package you will need to update the reference to the new package version.

Don’t to something like this. This is only a dirty fix, which will not resolve the root problem. Instead I prefer the other way. Uninstall all the packages, delete the package folder, remove all the references to packages and start from scratch. Install in each project the packages that you need.
In this way, next time when you will update the packages, you will don’t need to do anything else.

Enjoy!

Comments

  1. In see this quite often - usually the cause is that even today there are still some developers that did not bother to learn about NuGet and add references directly to an asembly in a folder..

    ReplyDelete

Post a Comment

Popular posts from this blog

Why Database Modernization Matters for AI

  When companies transition to the cloud, they typically begin with applications and virtual machines, which is often the easier part of the process. The actual complexity arises later when databases are moved. To save time and effort, cloud adoption is more of a cloud migration in an IaaS manner, fulfilling current, but not future needs. Even organisations that are already in the cloud find that their databases, although “migrated,” are not genuinely modernised. This disparity becomes particularly evident when they begin to explore AI technologies. Understanding Modernisation Beyond Migration Database modernisation is distinct from merely relocating an outdated database to Azure. It's about making your data layer ready for future needs, like automation, real-time analytics, and AI capabilities. AI needs high throughput, which can be achieved using native DB cloud capabilities. When your database runs in a traditional setup (even hosted in the cloud), in that case, you will enc...

Cloud Myths: Migrating to the cloud is quick and easy (Pill 2 of 5 / Cloud Pills)

The idea that migration to the cloud is simple, straightforward and rapid is a wrong assumption. It’s a common misconception of business stakeholders that generates delays, budget overruns and technical dept. A migration requires laborious planning, technical expertise and a rigorous process.  Migrations, especially cloud migrations, are not one-size-fits-all journeys. One of the most critical steps is under evaluation, under budget and under consideration. The evaluation phase, where existing infrastructure, applications, database, network and the end-to-end estate are evaluated and mapped to a cloud strategy, is crucial to ensure the success of cloud migration. Additional factors such as security, compliance, and system dependencies increase the complexity of cloud migration.  A misconception regarding lift-and-shits is that they are fast and cheap. Moving applications to the cloud without changes does not provide the capability to optimise costs and performance, leading to ...

Cloud Myths: Cloud is Cheaper (Pill 1 of 5 / Cloud Pills)

Cloud Myths: Cloud is Cheaper (Pill 1 of 5 / Cloud Pills) The idea that moving to the cloud reduces the costs is a common misconception. The cloud infrastructure provides flexibility, scalability, and better CAPEX, but it does not guarantee lower costs without proper optimisation and management of the cloud services and infrastructure. Idle and unused resources, overprovisioning, oversize databases, and unnecessary data transfer can increase running costs. The regional pricing mode, multi-cloud complexity, and cost variety add extra complexity to the cost function. Cloud adoption without a cost governance strategy can result in unexpected expenses. Improper usage, combined with a pay-as-you-go model, can result in a nightmare for business stakeholders who cannot track and manage the monthly costs. Cloud-native services such as AI services, managed databases, and analytics platforms are powerful, provide out-of-the-shelve capabilities, and increase business agility and innovation. H...