There's a discussion going on elsewhere on the list about what providers we keep/accept in core, but I'd just like to point out that you could release this provider to pypi yourselves - meaning you get to release at your own pace and aren't beholden to the (limited) time of Airflow committers and release managers to get changes out.
For example https://pypi.org/project/airflow-provider-great-expectations/ On 6 April 2022 17:07:52 BST, Philippe Lanoe <[email protected]> wrote: >Hello Airflow community, > >We would like to contribute with the Cloudera provider to allow out of the >box interactions with Cloudera services, currently starting with Cloudera >Data Engineering <https://www.cloudera.com/products/data-engineering.html> >(CDE) and Cloudera Data Warehouse ><https://www.cloudera.com/products/data-warehouse.html> (CDW). > >Our first two Operators are CdeRunJobOperator, to run a CDE job (Spark or >Airflow) and CdwExecuteQueryOperator, to execute a query on a managed CDW >cluster (Hive / Impala). It also comes with a Sensor for CDW, in order to >wait on a Hive partition. > >We already initiated a Pull Request, however we need to fix a few bits and >add System tests as described in AIP-47, so not yet ready for a full review. > >Please let us know if you accept this provider so that we can move on with >the PR. > >Thank you, >Philippe
