I agree with #2 - ODH should work out of box, so we need to provide the image (which is a no for #1), and #3 sounds like an overkill

Thanks,

V.

On Mon, Aug 19, 2019 at 3:43 PM Alex Corvin <acorvin@redhat.com> wrote:

I think my vote is for #2. Option #1 will continue to be supported for groups that need it, but we can make it easier for people to get up and running by curating an official image.

On August 19, 2019 at 9:33:44 AM, Ricardo Martinelli de Oliveira (rmartine@redhat.com) wrote:

Hi,

I'm integrating Spark SQL Thrift server into ODH operator and I need to use a custom spark image (other than the RADAnalytics image) with additional jars to access Ceph/S3 buckets. Actually, both thrift server and the spark cluster will need this custom spark image in order to access the buckets.

With that being said, I'd like to discuss some options to get this done. I am thinking about these options:

1) Let the customer specify the custom image in the yaml file (this is already possible)

2) Create that custom spark image and publish on quay.io opendarahub organization

3) Add a buildconfig object and make operator create the custom build and set the image location into the deploymentconfig objects

Although the third option automate everything and deliver the whole set with the custom image, there's this thing about supporting custom images within operators. We'd need to add a spark_version variable where the build could download the spark distribution corresponding to that version and the artifacts related and run the build. In the first option, we simply don't create the build objects and document that in order to use Thrift server in ODH operator, both spark cluster and thrift must use a custom spark image containing the jars needed to access Ceph/S3. At last, the middle term between both is option two, so we don't need to worry about delegate this task to the user or the operator.

What do you think? What could be the best option for this scenario?

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