Github user sun-rui commented on a diff in the pull request:
https://github.com/apache/spark/pull/9179#discussion_r42575713
--- Diff: core/src/main/scala/org/apache/spark/deploy/RRunner.scala ---
@@ -40,7 +40,13 @@ object RRunner {
// Time to wait for SparkR backend to initialize in seconds
val backendTimeout = sys.env.getOrElse("SPARKR_BACKEND_TIMEOUT",
"120").toInt
- val rCommand = "Rscript"
+ val rCommand = {
+ var cmd = sys.props.getOrElse("spark.sparkr.r.command", "Rscript")
+ if (sys.props("spark.submit.deployMode") == "client") {
--- End diff --
Yes, we only use RRunner when we launched non-shell jobs (i.e. when we are
executing scripts). But R scripts can be executed in either client mode or
cluster mode. In client mode, the R script is to be executed on the local host,
while in cluster mode, it is to be executed on a selected worker node.
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