snowflake-snowconvert-testing-orchestration 0.2.192

Capture and validate stored procedure baselines during database migrations to Snowflake

snowflake-snowconvert-testing-orchestration

Capture and validate stored procedure baselines during database migrations to Snowflake. Part of the SnowConvert migration toolchain.

What it does

When migrating stored procedures from SQL Server, Oracle, or other platforms to Snowflake, this tool automates the verification process:

1. Capture -- Execute stored procedures on the source database and save their results as baseline files.
2. Validate -- Execute the same procedures on Snowflake and compare the results against the captured baselines.
3. Report -- Generate detailed validation reports covering schema, metrics, and row-level comparisons.

Installation

pip install snowflake-snowconvert-testing-orchestration

Quick start

Capture baselines from source

test-runner capture --project-root /path/to/project

Validate on Snowflake

test-runner validate --project-root /path/to/project -c my_snowflake_connection

Configuration

Create a settings/test_config.yaml in your project directory:

source_platform: sqlserver
target_platform: snowflake

validation_configuration:
  schema_validation: true
  metrics_validation: true
  row_validation: true

Connections are resolved at runtime from TOML files (~/.snowflake/snowct/<dialect>.toml for source, ~/.snowflake/config.toml for target) or via CLI flags (--source-connection, --connection).

Define test cases for each procedure in artifacts/<database>/<schema>/procedure/<Name>/test/<name>.yml:

validation:
  source:
    steps:
      run: |-
        EXECUTE testdb.dbo.GetAllProducts
  target:
    steps:
      run: |-
        CALL TESTDB.DBO.GETALLPRODUCTS()
  test_cases:
    - []

Library usage

from test_runner import create_container, run_capture, run_validate

container = create_container("my_project")
config = container.config()
registry = container.factory_registry()

capture_stats = run_capture(config=config, factory_registry=registry, project_root="my_project")
validate_stats = run_validate(config=config, factory_registry=registry, project_root="my_project")

Requirements

• Python >= 3.10
• Access to a source database (SQL Server, Oracle, etc.)
• A Snowflake account with SnowSQL or connector configuration

Related packages

• snowflake-data-validation -- Data validation framework for Snowflake migrations

License

Snowflake Conversion Software Terms