by Joche Ojeda | Feb 24, 2025 | Linux, Postgres, SyncFrameworkV2, Ubuntu, WSL
After a problematic Windows update on my Surface computer that prevented me from compiling .NET applications, I spent days trying various fixes without success. Eventually, I had to format my computer and start fresh. This meant setting up everything again – Visual Studio, testing databases, and all the other development tools.To make future setups easier, I created a collection of WSL 2 scripts that automate the installation of tools I frequently use, like PostgreSQL and MySQL for testing purposes. While these scripts contain some practices that wouldn’t be recommended for production (like hardcoded passwords), they’re specifically designed for testing environments. The passwords used are already present in the sync framework source code, so there’s no additional security risk.I decided to share these scripts not as a perfect solution, but as a starting point for others who might need to set up similar testing environments. You can use them as inspiration for your own scripts or modify the default passwords to match your needs.
Note that these are specifically for testing purposes – particularly for working with the sync framework – and the hardcoded credentials should never be used in a production environment.
https://github.com/egarim/MyWslScripts
LDAP Scripts
MyWslScripts/ldap-setup.sh at master · egarim/MyWslScripts
MyWslScripts/add-ldap-user.sh at master · egarim/MyWslScripts
MySQL
MyWslScripts/install_mysql.sh at master · egarim/MyWslScripts
Postgres
MyWslScripts/install_postgres.sh at master · egarim/MyWslScripts
Redis
MyWslScripts/redis-install.sh at master · egarim/MyWslScripts
Let me know if you’d like me to share the actual scripts in a follow-up post!
by Joche Ojeda | May 14, 2024 | C#, Data Synchronization, dotnet
Hello there! Today, we’re going to delve into the fascinating world of design patterns. Don’t worry if you’re not a tech whiz – we’ll keep things simple and relatable. We’ll use the SyncFramework as an example, but our main focus will be on the design patterns themselves. So, let’s get started!
What are Design Patterns?
Design patterns are like blueprints – they provide solutions to common problems that occur in software design. They’re not ready-made code that you can directly insert into your program. Instead, they’re guidelines you can follow to solve a particular problem in a specific context.
SOLID Design Principles
One of the most popular sets of design principles is SOLID. It’s an acronym that stands for five principles that help make software designs more understandable, flexible, and maintainable. Let’s break it down:
- Single Responsibility Principle: A class should have only one reason to change. In other words, it should have only one job.
- Open-Closed Principle: Software entities should be open for extension but closed for modification. This means we should be able to add new features or functionality without changing the existing code.
- Liskov Substitution Principle: Subtypes must be substitutable for their base types. This principle is about creating new derived classes that can replace the functionality of the base class without breaking the application.
- Interface Segregation Principle: Clients should not be forced to depend on interfaces they do not use. This principle is about reducing the side effects and frequency of required changes by splitting the software into multiple, independent parts.
- Dependency Inversion Principle: High-level modules should not depend on low-level modules. Both should depend on abstractions. This principle allows for decoupling.
Applying SOLID Principles in SyncFramework
The SyncFramework is a great example of how these principles can be applied. Here’s how:
- Single Responsibility Principle: Each component of the SyncFramework has a specific role. For instance, one component is responsible for tracking changes, while another handles conflict resolution.
- Open-Closed Principle: The SyncFramework is designed to be extensible. You can add new data sources or change the way data is synchronized without modifying the core framework.
- Liskov Substitution Principle: The SyncFramework uses base classes and interfaces that allow for substitutable components. This means you can replace or modify components without affecting the overall functionality.
- Interface Segregation Principle: The SyncFramework provides a range of interfaces, allowing you to choose the ones you need and ignore the ones you don’t.
- Dependency Inversion Principle: The SyncFramework depends on abstractions, not on concrete classes. This makes it more flexible and adaptable to changes.
And that’s a wrap for today! But don’t worry, this is just the beginning. In the upcoming series of articles, we’ll dive deeper into each of these principles. We’ll explore how they’re applied in the source code of the SyncFramework, providing real-world examples to help you understand these concepts better. So, stay tuned for more exciting insights into the world of design patterns! See you in the next article!
Related articles
If you want to learn more about data synchronization you can checkout the following blog posts:
- Data synchronization in a few words – https://www.jocheojeda.com/2021/10/10/data-synchronization-in-a-few-words/
- Parts of a Synchronization Framework – https://www.jocheojeda.com/2021/10/10/parts-of-a-synchronization-framework/
- Let’s write a Synchronization Framework in C# – https://www.jocheojeda.com/2021/10/11/lets-write-a-synchronization-framework-in-c/
- Synchronization Framework Base Classes – https://www.jocheojeda.com/2021/10/12/synchronization-framework-base-classes/
- Planning the first implementation – https://www.jocheojeda.com/2021/10/12/planning-the-first-implementation/
- Testing the first implementation – https://youtu.be/l2-yPlExSrg
- Adding network support – https://www.jocheojeda.com/2021/10/17/syncframework-adding-network-support/
