Due to apply_default decorator removal, this version of the provider requires Airflow 2.1.0+. If your Airflow version is 2.1.0, and you want to install this provider version, first upgrade Airflow to at least version 2.1.0. Otherwise, your Airflow package version will be upgraded automatically, and you will have to manually run airflow upgrade db to complete the migration. This operator currently works with the Great Expectations V3 Batch Request API only. If you would like to use the operator in conjunction with the V2 Batch Kwargs API, you must use a version below 0.1.0. This operator uses Great Expectations Checkpoints instead of the former ValidationOperators. Because of the above, this operator requires Great Expectations >=v0.13.9, which is pinned in the requirements.txt starting with release 0.0.5.

Features

  • A set of Airflow operators for Great Expectations
  • A Python library for testing and validating data
  • The operator requires a DataContext to run
  • Previously Available Email Alert Functionality
  • Running Unit, Integration, and Functional Tests
  • Functional Testing

Project Samples

Project Activity

See All Activity >

Categories

Data Quality

License

Apache License V2.0

Follow Apache Airflow Provider

Apache Airflow Provider Web Site

Other Useful Business Software
Ship Agents Faster Icon
Ship Agents Faster

Transform your applications and workflows into powerful agentic systems at global scale.

Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
Get Started Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Apache Airflow Provider!

Additional Project Details

Programming Language

Python

Related Categories

Python Data Quality Tool

Registered

2023-06-12