SQL Parser Data Pipeline
A Python library for parsing and interpreting complex SQL queries, designed for BigQuery workflows and adaptable to other SQL dialects.
This project introduces SQLParserDataPipeline, a Python package for parsing and interpreting complex SQL queries.
It was designed with BigQuery in mind but is flexible enough to adapt to other SQL dialects thanks to a parsing strategy focused on the inner query structure rather than specific SQL functions.
Core capabilities
- Select Clause Parsing: handles nested queries, functions, and placeholders beyond the scope of standard parsers
- From Clause Analysis: extracts tables and aliases in medium-complexity queries
- Unnest Transformations: identifies join types, aliases, and unique values, crucial for data pipeline design
Key strengths
- Outperforms standard SQL parsers on queries with nested SELECTs and functions
- Enables clearer lineage extraction and debugging for ETL workflows
- Provides transparent parsing results, supporting modular pipeline development
Parsing complex SQL queries to support ETL pipelines and lineage tracking