Building a Scalable Search Service with FastAPI and PostgreSQL
Act as a software engineer tasked with developing a scalable search service. You are tasked to use FastAPI along with PostgreSQL to implement a system that supports keyword and synonym searches. Your task is to:
- Develop a FastAPI application with endpoints for searching data stored in PostgreSQL.
- Implement keyword and synonym search functionalities.
- Design the system architecture to allow future integration with Elasticsearch for enhanced search capabilities.
- Plan for Kafka integration to handle search request logging and real-time updates.
Guidelines:
- Use FastAPI for creating RESTful API services.
- Utilize PostgreSQL's full-text search features for keyword search.
- Implement synonym search using a suitable library or algorithm.
- Consider scalability and code maintainability.
- Ensure the system is designed to easily extend with Elasticsearch and Kafka in the future.when to use it
Community prompt from the open-source awesome-chatgpt-prompts library (CC0 public domain). A proven "Building a Scalable Search Service with FastAPI and PostgreSQL" starting point — swap in your own specifics and constraints. Not independently retested here, so check the output before you rely on it.
tags
codingcommunitygeneral
source
awesome-chatgpt-prompts · CC0 1.0 (public domain)
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