Validate data-model folders using DuckDB.
Project description
exadata-validator
exadata-validator validates data-model folders using DuckDB.
Install With pip
python -m venv .venv
source .venv/bin/activate
pip install exadata-validator
Validate a data model folder:
exadata-validator validate-data-model /path/to/data_model_folder
Develop With Poetry
From the repository root:
cd data-validator/exaflow-data-validator
poetry install
Then run the same CLI through Poetry:
poetry run exadata-validator validate-data-model /path/to/data_model_folder
Use exadata-validator validate-data-model --help for reporting, output, and threading options.
Folder Layout
/path/to/data_model_folder/
CDEsMetadata.json
dataset1.csv
dataset2.csv
Validation Notes
- CSV validation queries files directly with DuckDB and uses fused aggregate checks to reduce scan overhead.
- Folder-level dataset uniqueness is enforced across all CSV files via SQL using normalized codes (
trim + lower).
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