Feat: Delta Storage System with SQL View Architecture#42
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arnavg24-arch wants to merge 21 commits into
Open
Feat: Delta Storage System with SQL View Architecture#42arnavg24-arch wants to merge 21 commits into
arnavg24-arch wants to merge 21 commits into
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Co-authored-by: Cursor <cursoragent@cursor.com>
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Overview
This PR implements a comprehensive Delta Storage system for the Buckaroo Visual Wrangler. The goal was to transition from simple data cloning to a functional, space-efficient architecture that supports full wrangling provenance and reproducible Pandas script generation.
Technical Implementation (Architecture : SQL Views)
Instead of physical state cloning, we have implemented a Functional Nesting Architecture using PostgreSQL Views:
Zero-Storage History
Each wrangling step is now a virtual SQL View rather than a hard table. This ensures the database size remains constant regardless of the number of undo/redo steps.
Virtualized Operation Mapping
Operations like delete-column, impute, and row-deletion are mapped to dynamic SQL rules such as CASE WHEN, WHERE NOT IN, and SELECT.
Nesting Logic
Each new node view refers to its parent view, creating a logical chain that the database engine unrolls for near-instant execution.
New Components
Delta Class (delta.py)
A standard data structure for capturing the intent of an operation, its parameters, and its translated Python code.
Pandas Mapper (pandas_mapper.py)
A translation layer that converts SQL-based visual selections into executable, production-ready Pandas code snippets.
Provenance Reassembler
Updated PGraph logic to traverse the history chain and stitch together a full, reproducible Python script for export.
Refactored Service Helpers
Integrated view generation into the preview and finalization pipelines.
Key Benefits
Efficiency
Prevents database bloat on large datasets.
Reproducibility
Added a new endpoint to provide users with the exact code needed to replicate their visual work in a Jupyter Notebook.
Scalability
Architecture matches modern data warehouse paradigms used in professional data tools.