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context("test functions in sparkR.R")

test_that("Check masked functions", {
  # Check that we are not masking any new function from base, stats, testthat unexpectedly
  masked <- conflicts(detail = TRUE)$`package:SparkR`
  expect_true("describe" %in% masked)  # only when with testthat..
  func <- lapply(masked, function(x) { capture.output(showMethods(x))[[1]] })
  funcSparkROrEmpty <- grepl("\\(package SparkR\\)$|^$", func)
  maskedBySparkR <- masked[funcSparkROrEmpty]
  namesOfMasked <- c("describe", "cov", "filter", "lag", "na.omit", "predict", "sd", "var",
                     "colnames", "colnames<-", "intersect", "rank", "rbind", "sample", "subset",
                     "summary", "transform", "drop", "window", "as.data.frame")
  namesOfMaskedCompletely <- c("cov", "filter", "sample")
  if (as.numeric(R.version$major) == 3 && as.numeric(R.version$minor) > 2) {
    namesOfMasked <- c("endsWith", "startsWith", namesOfMasked)
    namesOfMaskedCompletely <- c("endsWith", "startsWith", namesOfMaskedCompletely)
  }
  expect_equal(length(maskedBySparkR), length(namesOfMasked))
  expect_equal(sort(maskedBySparkR), sort(namesOfMasked))
  # above are those reported as masked when `library(SparkR)`
  # note that many of these methods are still callable without base:: or stats:: prefix
  # there should be a test for each of these, except followings, which are currently "broken"
  funcHasAny <- unlist(lapply(masked, function(x) {
                                        any(grepl("=\"ANY\"", capture.output(showMethods(x)[-1])))
                                      }))
  maskedCompletely <- masked[!funcHasAny]
  expect_equal(length(maskedCompletely), length(namesOfMaskedCompletely))
  expect_equal(sort(maskedCompletely), sort(namesOfMaskedCompletely))
})

test_that("repeatedly starting and stopping SparkR", {
  for (i in 1:4) {
    sc <- sparkR.init()
    rdd <- parallelize(sc, 1:20, 2L)
    expect_equal(count(rdd), 20)
    sparkR.stop()
  }
})

test_that("repeatedly starting and stopping SparkR SQL", {
  for (i in 1:4) {
    sc <- sparkR.init()
    sqlContext <- sparkRSQL.init(sc)
    df <- createDataFrame(data.frame(a = 1:20))
    expect_equal(count(df), 20)
    sparkR.stop()
  }
})

test_that("rdd GC across sparkR.stop", {
  sparkR.stop()
  sc <- sparkR.init() # sc should get id 0
  rdd1 <- parallelize(sc, 1:20, 2L) # rdd1 should get id 1
  rdd2 <- parallelize(sc, 1:10, 2L) # rdd2 should get id 2
  sparkR.stop()

  sc <- sparkR.init() # sc should get id 0 again

  # GC rdd1 before creating rdd3 and rdd2 after
  rm(rdd1)
  gc()

  rdd3 <- parallelize(sc, 1:20, 2L) # rdd3 should get id 1 now
  rdd4 <- parallelize(sc, 1:10, 2L) # rdd4 should get id 2 now

  rm(rdd2)
  gc()

  count(rdd3)
  count(rdd4)
})

test_that("job group functions can be called", {
  sc <- sparkR.init()
  setJobGroup(sc, "groupId", "job description", TRUE)
  cancelJobGroup(sc, "groupId")
  clearJobGroup(sc)
})

test_that("utility function can be called", {
  sc <- sparkR.init()
  setLogLevel(sc, "ERROR")
})

test_that("getClientModeSparkSubmitOpts() returns spark-submit args from whitelist", {
  e <- new.env()
  e[["spark.driver.memory"]] <- "512m"
  ops <- getClientModeSparkSubmitOpts("sparkrmain", e)
  expect_equal("--driver-memory \"512m\" sparkrmain", ops)

  e[["spark.driver.memory"]] <- "5g"
  e[["spark.driver.extraClassPath"]] <- "/opt/class_path" # nolint
  e[["spark.driver.extraJavaOptions"]] <- "-XX:+UseCompressedOops -XX:+UseCompressedStrings"
  e[["spark.driver.extraLibraryPath"]] <- "/usr/local/hadoop/lib" # nolint
  e[["random"]] <- "skipthis"
  ops2 <- getClientModeSparkSubmitOpts("sparkr-shell", e)
  # nolint start
  expect_equal(ops2, paste0("--driver-class-path \"/opt/class_path\" --driver-java-options \"",
                      "-XX:+UseCompressedOops -XX:+UseCompressedStrings\" --driver-library-path \"",
                      "/usr/local/hadoop/lib\" --driver-memory \"5g\" sparkr-shell"))
  # nolint end

  e[["spark.driver.extraClassPath"]] <- "/" # too short
  ops3 <- getClientModeSparkSubmitOpts("--driver-memory 4g sparkr-shell2", e)
  # nolint start
  expect_equal(ops3, paste0("--driver-java-options \"-XX:+UseCompressedOops ",
                      "-XX:+UseCompressedStrings\" --driver-library-path \"/usr/local/hadoop/lib\"",
                      " --driver-memory 4g sparkr-shell2"))
  # nolint end
})

test_that("sparkJars sparkPackages as comma-separated strings", {
  expect_warning(processSparkJars(" a, b "))
  jars <- suppressWarnings(processSparkJars(" a, b "))
  expect_equal(jars, c("a", "b"))

  jars <- suppressWarnings(processSparkJars(" abc ,, def "))
  expect_equal(jars, c("abc", "def"))

  jars <- suppressWarnings(processSparkJars(c(" abc ,, def ", "", "xyz", " ", "a,b")))
  expect_equal(jars, c("abc", "def", "xyz", "a", "b"))

  p <- processSparkPackages(c("ghi", "lmn"))
  expect_equal(p, c("ghi", "lmn"))

  # check normalizePath
  f <- dir()[[1]]
  expect_warning(processSparkJars(f), NA)
  expect_match(processSparkJars(f), f)
})

test_that("spark.lapply should perform simple transforms", {
  sc <- sparkR.init()
  doubled <- spark.lapply(sc, 1:10, function(x) { 2 * x })
  expect_equal(doubled, as.list(2 * 1:10))
})