refine cupsatial demo to make it more clear for customers

[nvliyuan]

refine cupsatial demo to make it more clear for customers

• update cuda pub key to avoid GPG error in databricks docker file
• update performance target to a specific dataset
• add more comments about how to build/run
• add cpu version notebook base on Apache Sedona

Signed-off-by: liyuan yuali@nvidia.com

[sameerz]

The command docker build -f Dockerfile . -t build-spark-cuspatial on line 44 is failing. I get the following:

ERROR conda.cli.main_run:execute(49): `conda run /bin/bash -c conda install -c rapidsai-nightly -c nvidia -c conda-forge -c defaults libcuspatial=22.06 python=3.8 -y` failed. (See above for error)

Is this failing because we are mixing 22.06 and 22.08-SNAPSHOT?

Detailed error in https://gist.github.com/sameerz/544c046bf0b13683288df846d5d5673f

[nvliyuan]

Detailed error in https://gist.github.com/sameerz/544c046bf0b13683288df846d5d5673f

yes, I can reproduce it by running docker build without cache, update the docker file

[sameerz]

Detailed error in https://gist.github.com/sameerz/544c046bf0b13683288df846d5d5673f

yes, I can reproduce it by running docker build without cache, update the docker file

I can build the docker file now and was able to build the spark-cuspatial-22.08.0-SNAPSHOT.jar.

Do we want to update lines 66-69 in README.md to refer to 22.06 and 22.08-SNAPSHOT instead of 22.04 and 22.06-SNAPSHOT?

[nvliyuan]

Do we want to update lines 66-69 in README.md to refer to 22.06 and 22.08-SNAPSHOT instead of 22.04 and 22.06-SNAPSHOT?

updated, thanks

[nvliyuan]

Add CPU notebook run on databricks