Generally we don't do compatibility checks for every patch version within a minor version, but we have tested 3.5.5 and 3.5.0, and both work.
I added 3.5.3 in https://github.com/apache/beam/pull/35985 to quickly test it more directly, and all tests passed. In the future, you're welcome to open PRs to run automated tests against particular minor versions if it is helpful as well, you'd just need to do the same thing I did here. I see 3.5.x support from https://github.com/apache/beam/blob/release-2.53.0/runners/spark/3/build.gradle so I would expect Beam >=2.53.0 to work here. Thanks, Danny On Wed, Aug 27, 2025 at 4:53 AM Santhosh Kumar Srinivasan via user < [email protected]> wrote: > Hello Beam Community, > > > > As of now, we are not seeing any version of Apache Beam that is certified > for compatibility with Spark 3.5.3 (which comes with Google Dataproc 2.2 > <https://cloud.google.com/dataproc/docs/concepts/versioning/dataproc-release-2.2> > ) > > > > > https://github.com/apache/beam/blob/release-2.65/runners/spark/3/build.gradle > > > > https://github.com/apache/beam/blob/release-2.66/runners/spark/3/build.gradle > > > > > Can you please help with certifying Beam for Spark 3.5.3 also ? > > > > Thanks, > > Santhosh > > > > >
