Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
Full Changelog: https://github.com/awslabs/deequ/compare/2.0.5...2.0.6
Full Changelog: https://github.com/awslabs/deequ/compare/2.0.4...2.0.5
Full Changelog: https://github.com/awslabs/deequ/compare/2.0.3...2.0.4
Full Changelog: https://github.com/awslabs/deequ/compare/2.0.2...2.0.3
Adds Spark 3.3 compatibility.
Full Changelog: https://github.com/awslabs/deequ/compare/2.0.1...2.0.2
Adds Spark 3.2 compatibility.
Add Spark 3.1 compatibility.
Note: this version is no longer compatible with Spark <=3.0. Use previous versions and branch legacy-spark-3.0 instead.
This release updates the build setup (i.e. the pom.xml and the publishing process) so that the artefacts published to maven can now be imported using maven or sbt. There are four branches associated with this new release:
Changes to the build setup to support Spark 2.2.x to 2.4.x and 3.0.x. There now is one maven release available per Spark version: