snowflake-data-validation 1.2.3

Snowflake Data Validation

Snowflake Data Validation

Snowflake Data Validation is a command-line tool and Python library for validating data migrations and ensuring data quality between source and target databases, with a focus on Snowflake and SQL Server.

📖 For detailed usage instructions, configuration examples, and CLI reference, please check the official documentation.

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🚀 Features

• Multi-level validation: Schema validation, statistical metrics, and row-level data integrity checks.
• Multiple source platforms: SQL Server, Redshift, Teradata.
• User-friendly CLI: Comprehensive commands for automation and orchestration.
• Parallel processing: Multi-threaded table validation for faster execution.
• Offline validation: Extract source data as Parquet files for validation without source access.
• Flexible configuration: YAML-based workflows with per-table customization.
• Partitioning support: Row and column partitioning helpers for large table validation.
• Detailed reporting: CSV reports, console output, and comprehensive logging.
• Extensible architecture: Ready for additional database engines.

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📦 Installation

pip install snowflake-data-validation

For SQL Server support:

pip install "snowflake-data-validation[sqlserver]"

For development and testing:

pip install "snowflake-data-validation[all]"

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🔄 Execution Modes

Mode	Command	Description
Sync Validation	run-validation	Real-time comparison between source and target databases
Source Extraction	source-validate	Extract source data to Parquet files for offline validation
Async Validation	run-async-validation	Validate using pre-extracted Parquet files
Script Generation	generate-validation-scripts	Generate SQL scripts for manual execution

Supported Dialects: sqlserver, snowflake, redshift, teradata

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🔍 Validation Levels

Schema Validation

Compares table structure between source and target:

• Column names and order
• Data types with mapping support
• Precision, scale, and length
• Nullable constraints

Metrics Validation

Compares statistical metrics for each column:

• Row count
• Min/Max values
• Sum and Average
• Null count
• Distinct count

Row Validation

Performs row-by-row comparison:

• Primary key matching
• Field-level value comparison
• Mismatch reporting

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📊 Reports

• Console Output: Real-time progress with success/failure indicators
• CSV Reports: Detailed validation results with all comparison data
• Log Files: Comprehensive debug and error logging

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📚 Documentation

For complete command reference, configuration options, and examples, see the Data Validation CLI.

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🤝 Contributing

We welcome contributions! See our Contributing Guide for details on how to collaborate, set up your development environment, and submit PRs.

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📄 License

This project is licensed under the Snowflake Conversion Software Terms. See the LICENSE file for the full text or visit the Conversion Software Terms for more information.

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🆘 Support

• Documentation: Full documentation
• Issues: GitHub Issues

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Developed with ❄️ by Snowflake