Currently, our static website built with Quarto is generating pages using a .jsonl file, where each record corresponds to an Arxiv ID. We aim to replace this with a SQLite database to enhance scalability and maintainability.
Steps to Implement
1. Create a SQLite Database
Design Database Schema: Reflect the structure of the .jsonl file in the database schema.
Initialize Database: Create a SQLite database with tables based on the schema.
2. Data Migration
Migration Script: Develop a Python script to migrate data from the .jsonl file to the SQLite database.
Data Integrity: Ensure all data is accurately transferred.
3. Update Python Scripts for Data Retrieval
Modify Existing Scripts: Adapt scripts that currently read the .jsonl file to instead interact with the SQLite database.
Implement Database Queries: Use Python libraries like sqlite3 to handle database operations.
Fetch Records by ID: Ensure the updated scripts can retrieve specific records using Arxiv IDs.
4. Testing
Test Data Retrieval: Thoroughly test the updated scripts for accurate database interactions.
Validate Page Generation: Compare newly generated pages with existing ones for consistency.
5. Documentation
Update Documentation: Reflect the transition from .jsonl to SQLite in the project documentation.
Setup Instructions: Include guidelines for database setup and script execution.
6. Deployment
Merge and Deploy: After testing, merge the changes into the main branch and update the live website.
Additional Considerations
Performance: Optimize query performance for large datasets.
Backup and Recovery: Implement a strategy for database backup.
CI/CD Pipeline: Update CI/CD processes to include the new database setup.
Request for Contributions
Contributions are welcome! If you're interested in helping with this transition, please comment on this issue or submit a pull request.
Issue Description
Currently, our static website built with Quarto is generating pages using a
.jsonl
file, where each record corresponds to an Arxiv ID. We aim to replace this with a SQLite database to enhance scalability and maintainability.Steps to Implement
1. Create a SQLite Database
.jsonl
file in the database schema.2. Data Migration
.jsonl
file to the SQLite database.3. Update Python Scripts for Data Retrieval
.jsonl
file to instead interact with the SQLite database.sqlite3
to handle database operations.4. Testing
5. Documentation
.jsonl
to SQLite in the project documentation.6. Deployment
Additional Considerations
Request for Contributions
Contributions are welcome! If you're interested in helping with this transition, please comment on this issue or submit a pull request.