SparkR: R Frontend for Apache Spark

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#    http://www.apache.org/licenses/LICENSE-2.0
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library(testthat)
library(SparkR)

# Turn all warnings into errors
options("warn" = 2)

if (.Platform$OS.type == "windows") {
  Sys.setenv(TZ = "GMT")
}

# Setup global test environment
# Install Spark first to set SPARK_HOME
install.spark()

sparkRDir <- file.path(Sys.getenv("SPARK_HOME"), "R")
sparkRWhitelistSQLDirs <- c("spark-warehouse", "metastore_db")
invisible(lapply(sparkRWhitelistSQLDirs,
                 function(x) { unlink(file.path(sparkRDir, x), recursive = TRUE, force = TRUE)}))
sparkRFilesBefore <- list.files(path = sparkRDir, all.files = TRUE)

sparkRTestMaster <- "local[1]"
sparkRTestConfig <- list()
if (identical(Sys.getenv("NOT_CRAN"), "true")) {
  sparkRTestMaster <- ""
} else {
  # Disable hsperfdata on CRAN
  old_java_opt <- Sys.getenv("_JAVA_OPTIONS")
  Sys.setenv("_JAVA_OPTIONS" = paste("-XX:-UsePerfData", old_java_opt))
  tmpDir <- tempdir()
  tmpArg <- paste0("-Djava.io.tmpdir=", tmpDir)
  sparkRTestConfig <- list(spark.driver.extraJavaOptions = tmpArg,
                           spark.executor.extraJavaOptions = tmpArg)
}

test_package("SparkR")

if (identical(Sys.getenv("NOT_CRAN"), "true")) {
  # set random seed for predictable results. mostly for base's sample() in tree and classification
  set.seed(42)
  # for testthat 1.0.2 later, change reporter from "summary" to default_reporter()
  testthat:::run_tests("SparkR",
                       file.path(sparkRDir, "pkg", "tests", "fulltests"),
                       NULL,
                       "summary")
}

SparkR:::uninstallDownloadedSpark()