Coming back to this as I get my dev environment up and running, there's definitely an intermix of dependencies between Spark, Python, and R that I'm still working out.
For example, when I try to start sparkR I get an error message that "package ‘SparkR’ was built under R version 4.0.4", but locally I have R version 3.5.2 installed. Spark 3.3.1 says you need R 3.5+. That said, think my version of R works with Spark2 (at least the tests indicate that...) It'd be great to have a minimum viable environment with specific versions and I hope to have that in a Docker environment by early next week. :) Currently I'm just basing it off a debian image with Java8, although there are Spark images that could be useful... Damon On 2022/11/20 18:55:35 larry mccay wrote: > Considering there is no download for anything older than 3.2.x on the > referred download page, we likely need some change to the README.md to > reflect a more modern version. > We also need more explicit instructions for installing Spark than just the > download. Whether we detail this or point to Spark docs that are sufficient > is certainly a consideration. > > At the end of the day, we are missing any sort of quick start guide for > devs to be able to successfully build and/or run tests. > > Thoughts? > > On Sat, Nov 19, 2022 at 6:23 PM larry mccay <larry.mc...@gmail.com> wrote: > > > Hey Folks - > > > > Our Livy README.md indicates the following: > > > > To run Livy, you will also need a Spark installation. You can get Spark > > releases at https://spark.apache.org/downloads.html. > > > > Livy requires Spark 2.4+. You can switch to a different version of Spark > > by setting the SPARK_HOME environment variable in the Livy server > > process, without needing to rebuild Livy. > > > > Do we have any variation on this setup at this point in the real world? > > > > What do your dev environments actually look like and how are you > > installing what versions of Spark as a dependency? > > > > Thanks! > > > > --larry > > >
