Your First Contribution
Welcome to SQLa (SQL Aide)! We’re thrilled that you’re interested in making your first contribution to our open-source project. Here are some suggestions on how to discover what to contribute to first:
Review Open Tickets and Issues
A great starting point is to review the open tickets and issues on our GitHub repository. These tickets represent areas where help is needed, including bug fixes, feature enhancements, and documentation updates. Look for issues labeled as “good first issue” or “help wanted” as they are often beginner-friendly tasks.
To find open tickets and issues:
- Visit our GitHub repository.
- Navigate to the “Issues” tab.
- Filter the issues using labels like “good first issue” or “help wanted”.
Choose an issue that aligns with your skills and interests. Feel free to ask questions and seek clarification if needed.
Check the Roadmap and Feature Requests
Visit our project’s roadmap or feature request page to get an overview of the planned enhancements and upcoming features. This will give you an understanding of the project’s direction and areas where your contributions can make a significant impact. Consider the following:
- Explore the project’s website or GitHub repository for the roadmap.
- Look for planned features or enhancements that align with your interests and expertise.
- Review the feature requests to see if there are any that you can help implement.
Contributing to the roadmap or feature requests ensures that you’re working on features that are aligned with the project’s goals.
Explore Other SQL Generator Packages
Take a look at other third-party SQL generator packages to gain insights into the features and functionalities they offer. While exploring these packages, including dbt and other similar libraries, keep in mind that SQLa takes a distinct approach as an aide to SQL developers, emphasizing type safety, composability, version control, and other unique features. Consider the following:
dbt: dbt (data build tool) is a widely-used SQL-based transformation and modeling tool. It provides a framework for managing data transformation workflows, including SQL code generation and documentation. While SQLa shares some similarities with dbt, it’s important to note that SQLa focuses on being a comprehensive SQL generation library rather than a full-fledged data transformation tool or ORM. SQLa prioritizes features like type-safe schemas, multi-dialect SQL generation, and support for relational tables, columns, views, stored procedures, and stored functions.
sqlalchemy: sqlalchemy is a SQL toolkit and Object-Relational Mapping (ORM) library for Python. While sqlalchemy offers comprehensive tools for working with databases and generating SQL statements programmatically, SQLa does not aim to provide ORM capabilities. Instead, SQLa focuses on being an aide to SQL developers, empowering them with type safety, composable SQL templates, and the ability to generate multi-dialect SQL code, while leaving the connection management and execution of SQL to other libraries or frameworks.
Flyway: Flyway is a database migration tool that simplifies the process of managing and applying database schema changes. While Flyway focuses on database migrations, SQLa focuses on SQL generation and providing an aide for SQL developers. SQLa can be used in conjunction with migration tools like Flyway to generate the necessary SQL statements for schema changes.
Prisma: Prisma is a modern database toolkit and ORM for TypeScript and Node.js. It simplifies database access and provides a type-safe query builder. While Prisma offers an ORM-like experience, SQLa focuses specifically on SQL generation, allowing developers to define and compose SQL templates with type safety and multi-dialect support.
By exploring these and other similar libraries, you can gain inspiration and insights into different approaches to SQL generation. Identify features, techniques, or patterns that align with SQLa’s focus on type safety, composability, version control, and other unique features. Analyze their strengths and weaknesses to identify areas where SQLa can provide even more value and differentiate itself as a comprehensive SQL generation library.
Based on your findings, you can contribute by implementing similar features or improvements within SQLa.
Seek Feedback and Guidance
If you’re still unsure about what to contribute, don’t hesitate to reach out for guidance. You can:
- Join our community forums or chat channels and ask for suggestions.
- Reach out to the project maintainers or experienced contributors for advice.
- Engage in discussions and ask questions on relevant GitHub issues.
We’re here to help you find the right contribution opportunity and provide support along the way.
Remember, no contribution is too small, and learning through exploration and collaboration is an essential part of the process. We appreciate your interest in contributing to SQLa, and we look forward to your valuable contributions!
If you have any questions or need further assistance, please don’t hesitate to reach out to us through the following channels:
- GitHub Issues: https://github.com/netspective-labs/sql-aide/issues
- Discord: coming soon