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OpenDataDiscovery Action for dbt

Project description

OpenDataDiscovery dbt tests metadata collecting

PyPI version

Library used for running dbt tests and injecting them as entities to ODD platform.

Supported data sources

Source
Snowflake
Redshift
Postgres

Requirements

Library to inject Quality Tests entities requires presence of corresponding with them datasets entities in the platform.
For example: if you want to inject data quality test of Snowflake table, you need to have entity of that table present in the platform.

Supported tests

Library supports for basics tests provided by dbt.

  • unique: values in the column should be unique
  • not_null: values in the column should not contain null values
  • accepted_values: column should only contain values from list specified in the test config
  • relationships: each value in the select column of the model exists as a specified field in the reference table (also known as referential integrity)

ODDRN generation for datasets

host_settings of ODDRN generators required for source datasets are loaded from .dbt/profiles.yml.
Profiles inside the file looks different for each type of data source.
Snowflake host_settings value is created from field account. Field value should be <account_identifier>
For example the URL for an account uses the following format: <account_identifier>.snowflakecomputing.com
Example Snowflake account identifier hj1234.eu-central-1.
Redshift and Postgres host_settings are loaded from field host field.
Example Redshift host: redshift-cluster-example.123456789.eu-central-1.redshift.amazonaws.com

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