exadata-validator 1.1.0

Validate data-model folders using DuckDB.

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

Run as a Python module:

python -m validator validate-data-model /path/to/data_model_folder

Useful options:

exadata-validator validate-data-model /path/to/data_model_folder --fail-fast
exadata-validator validate-data-model /path/to/data_model_folder --format html --output report.html

By default the command collects and reports all validation errors in text format. If --format html is used without --output, the report is written under /tmp.

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).