From f62ddc5983a08d4d54c0a9a8210dd6cbec555671 Mon Sep 17 00:00:00 2001 From: Jeff Zhang Date: Fri, 23 Sep 2016 11:37:43 -0700 Subject: [SPARK-17210][SPARKR] sparkr.zip is not distributed to executors when running sparkr in RStudio MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit ## What changes were proposed in this pull request? Spark will add sparkr.zip to archive only when it is yarn mode (SparkSubmit.scala). ``` if (args.isR && clusterManager == YARN) { val sparkRPackagePath = RUtils.localSparkRPackagePath if (sparkRPackagePath.isEmpty) { printErrorAndExit("SPARK_HOME does not exist for R application in YARN mode.") } val sparkRPackageFile = new File(sparkRPackagePath.get, SPARKR_PACKAGE_ARCHIVE) if (!sparkRPackageFile.exists()) { printErrorAndExit(s"$SPARKR_PACKAGE_ARCHIVE does not exist for R application in YARN mode.") } val sparkRPackageURI = Utils.resolveURI(sparkRPackageFile.getAbsolutePath).toString // Distribute the SparkR package. // Assigns a symbol link name "sparkr" to the shipped package. args.archives = mergeFileLists(args.archives, sparkRPackageURI + "#sparkr") // Distribute the R package archive containing all the built R packages. if (!RUtils.rPackages.isEmpty) { val rPackageFile = RPackageUtils.zipRLibraries(new File(RUtils.rPackages.get), R_PACKAGE_ARCHIVE) if (!rPackageFile.exists()) { printErrorAndExit("Failed to zip all the built R packages.") } val rPackageURI = Utils.resolveURI(rPackageFile.getAbsolutePath).toString // Assigns a symbol link name "rpkg" to the shipped package. args.archives = mergeFileLists(args.archives, rPackageURI + "#rpkg") } } ``` So it is necessary to pass spark.master from R process to JVM. Otherwise sparkr.zip won't be distributed to executor. Besides that I also pass spark.yarn.keytab/spark.yarn.principal to spark side, because JVM process need them to access secured cluster. ## How was this patch tested? Verify it manually in R Studio using the following code. ``` Sys.setenv(SPARK_HOME="/Users/jzhang/github/spark") .libPaths(c(file.path(Sys.getenv(), "R", "lib"), .libPaths())) library(SparkR) sparkR.session(master="yarn-client", sparkConfig = list(spark.executor.instances="1")) df <- as.DataFrame(mtcars) head(df) ``` … Author: Jeff Zhang Closes #14784 from zjffdu/SPARK-17210. --- R/pkg/R/sparkR.R | 4 ++++ docs/sparkr.md | 15 +++++++++++++++ 2 files changed, 19 insertions(+) diff --git a/R/pkg/R/sparkR.R b/R/pkg/R/sparkR.R index 06015362e6..cc6d591bb2 100644 --- a/R/pkg/R/sparkR.R +++ b/R/pkg/R/sparkR.R @@ -491,6 +491,10 @@ sparkConfToSubmitOps[["spark.driver.memory"]] <- "--driver-memory" sparkConfToSubmitOps[["spark.driver.extraClassPath"]] <- "--driver-class-path" sparkConfToSubmitOps[["spark.driver.extraJavaOptions"]] <- "--driver-java-options" sparkConfToSubmitOps[["spark.driver.extraLibraryPath"]] <- "--driver-library-path" +sparkConfToSubmitOps[["spark.master"]] <- "--master" +sparkConfToSubmitOps[["spark.yarn.keytab"]] <- "--keytab" +sparkConfToSubmitOps[["spark.yarn.principal"]] <- "--principal" + # Utility function that returns Spark Submit arguments as a string # diff --git a/docs/sparkr.md b/docs/sparkr.md index b881119731..340e7f7cb1 100644 --- a/docs/sparkr.md +++ b/docs/sparkr.md @@ -62,6 +62,21 @@ The following Spark driver properties can be set in `sparkConfig` with `sparkR.s + + + + + + + + + + + + + + + -- cgit v1.2.3
Property NameProperty groupspark-submit equivalent
spark.masterApplication Properties--master
spark.yarn.keytabApplication Properties--keytab
spark.yarn.principalApplication Properties--principal
spark.driver.memory Application Properties