Github user ifilonenko commented on the issue:
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@felixcheung The integration tests already run `docker-image-tool.sh -t
testing build` which build the `spark-base`, `spark-py`, and `spark-r` images.
At which point integration tests would be
Github user felixcheung commented on the issue:
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IMO it's fine we have one version supported in the image and stick with
that.
the tricky thing is having maintainers to keep updating/testing the newer
versions in the images (we have
Github user ifilonenko commented on the issue:
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@felixcheung @mccheah by that logic.. should then both Python and R images
be version configurable? This is all handled in the `bin/docker-image-tool.sh`
? Aren't those configurations just way
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Github user felixcheung commented on the issue:
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We have a min supported version of R
https://github.com/apache/spark/blob/master/R/pkg/DESCRIPTION
But beyond that we havenât seen much problems when new releases of R are
coming
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Github user ifilonenko commented on the issue:
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@felixcheung for initial review
There is still a need for the integration testing environment to be setup
on the PRB side. But I would like community opinion on the format of the
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