Github user sun-rui commented on the pull request:
https://github.com/apache/spark/pull/9185#issuecomment-154333467
From user's point of view, multiple concurrent R sessions are expected to
allow for parallel analysis when SparkR is running as service in cloud.
However, R at its core is single threaded, and it does support concept of
session. So there exists some intermediate layers that enable multiple R
sessions, for example, [RStudio Server
Pro](https://support.rstudio.com/hc/en-us/articles/211789298-Multiple-R-Sessions-in-RStudio-Server-Pro)
and [Rserve](https://cran.r-project.org/web/packages/Rserve/index.html). Both
of them enable multiple R sessions by spawning multiple R processes.
So my point is that within SparkR, we don't need to support SQL session and
a single SQLContext is enough.
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