Introduction:
In complex projects with hundreds of business rules, such as financial services, where vast amounts of transactions are processed, efficient SQL queries are essential. However, crafting optimised SQL queries can be complex. In this technical article, we delve into a solution developed to address this challenge using Chat GPT for SQL optimisation.
Use Case:
Utilising Chat GPT, developers can generate SQL queries based on OutSystems metadata. Natural language interaction allows developers to request query statements for specific tables or seek optimisation advice.
Objective:
The primary goal is to offer developers unbiased, efficient suggestions for SQL query optimisation. Chat GPT broadens developers’ knowledge base, facilitating more effective optimisation strategies.
Technologies Used:
Chat GPT: Natural language interaction for query generation and optimisation advice.
JavaScript: Rendering the chat interface for seamless interaction.
OutSystems: Accessing metadata to inform query construction and optimisation.
Challenges to Overcome:
- Data Privacy Concerns: Integrating Chat GPT raised privacy concerns as it requires access to sensitive metadata. Ensuring data confidentiality while maintaining functionality was paramount. We implemented an option to include or NOT include the metadata in the ChatGPT prompt to address these concerns.
- Seamless UX Integration: To integrate Chat GPT into existing development workflows without disruptions, developers need an intuitive interface to interact with Chat GPT while maintaining productivity. Collaborating with other OutSystems Developers to gather feedback was vital.
- Bias Mitigation: Developers frequently rely on their past experiences and biases when confronted with technical challenges. Our decisions in addressing these challenges often stem from our familiarity with previous solutions. However, this approach can lead to a limited perspective. This is where ChatGPT’s input becomes invaluable. ChatGPT broadens developers’ viewpoints by offering insights and suggestions and encouraging consideration of best practices and alternative approaches.
Improved Developer Experience:
By leveraging Chat GPT, developers can effortlessly generate complex SQL statements, bypassing syntax intricacies. This frictionless development process empowers developers to focus on problem-solving rather than syntax nuances, ultimately enhancing productivity and code quality.
Conclusion:
Leveraging Chat GPT for SQL optimisation significantly enhances the developer experience by providing unbiased suggestions and streamlining query development. The solution had to comprehend strategies for data privacy, integration, and bias mitigation. Its versatility offers immense potential for improving efficiency and innovation across diverse projects.
After developing this solution, our team uploaded it to the OutSystems Forge to allow it to be used by the entire community. You can find it here.
Author Info
John Salamat
Senior Tech Lead + OutSystems MVP
