Mapping SQLite result columns back to their source `table.column`

📰 Simon Willison's Blog

Learn how to map SQLite result columns back to their source table.column to enhance Datasette with additional information, improving data analysis and visualization

intermediate Published 13 Jun 2026
Action Steps
  1. Build a parser to analyze SQL queries and identify the source tables and columns
  2. Run the parser on a sample SQL query to test its functionality
  3. Configure the parser to handle complex queries with multiple joins and subqueries
  4. Test the parser with different types of SQL queries to ensure its accuracy
  5. Apply the parsed information to render the results with additional metadata
Who Needs to Know This

Data scientists and software engineers on a team can benefit from this knowledge to build more informative and interactive data visualizations, while product managers can use it to enhance user experience

Key Insight

💡 Mapping SQLite result columns to their source table.column enables more informative data visualizations and better user experience

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📊 Enhance Datasette with column-level metadata! 🚀

Key Takeaways

Learn how to map SQLite result columns back to their source table.column to enhance Datasette with additional information, improving data analysis and visualization

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