tests/fulltests/test_binaryFile.R

In vkapartzianis/SparkR: R Frontend for Apache Spark

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context("functions on binary files")

# JavaSparkContext handle
sparkSession <- sparkR.session(master = sparkRTestMaster, enableHiveSupport = FALSE)
sc <- callJStatic("org.apache.spark.sql.api.r.SQLUtils", "getJavaSparkContext", sparkSession)

mockFile <- c("Spark is pretty.", "Spark is awesome.")

test_that("saveAsObjectFile()/objectFile() following textFile() works", {
  fileName1 <- tempfile(pattern = "spark-test", fileext = ".tmp")
  fileName2 <- tempfile(pattern = "spark-test", fileext = ".tmp")
  writeLines(mockFile, fileName1)

  rdd <- textFile(sc, fileName1, 1)
  saveAsObjectFile(rdd, fileName2)
  rdd <- objectFile(sc, fileName2)
  expect_equal(collectRDD(rdd), as.list(mockFile))

  unlink(fileName1)
  unlink(fileName2, recursive = TRUE)
})

test_that("saveAsObjectFile()/objectFile() works on a parallelized list", {
  fileName <- tempfile(pattern = "spark-test", fileext = ".tmp")

  l <- list(1, 2, 3)
  rdd <- parallelize(sc, l, 1)
  saveAsObjectFile(rdd, fileName)
  rdd <- objectFile(sc, fileName)
  expect_equal(collectRDD(rdd), l)

  unlink(fileName, recursive = TRUE)
})

test_that("saveAsObjectFile()/objectFile() following RDD transformations works", {
  fileName1 <- tempfile(pattern = "spark-test", fileext = ".tmp")
  fileName2 <- tempfile(pattern = "spark-test", fileext = ".tmp")
  writeLines(mockFile, fileName1)

  rdd <- textFile(sc, fileName1)

  words <- flatMap(rdd, function(line) { strsplit(line, " ")[[1]] })
  wordCount <- lapply(words, function(word) { list(word, 1L) })

  counts <- reduceByKey(wordCount, "+", 2L)

  saveAsObjectFile(counts, fileName2)
  counts <- objectFile(sc, fileName2)

  output <- collectRDD(counts)
  expected <- list(list("awesome.", 1), list("Spark", 2), list("pretty.", 1),
                    list("is", 2))
  expect_equal(sortKeyValueList(output), sortKeyValueList(expected))

  unlink(fileName1)
  unlink(fileName2, recursive = TRUE)
})

test_that("saveAsObjectFile()/objectFile() works with multiple paths", {
  fileName1 <- tempfile(pattern = "spark-test", fileext = ".tmp")
  fileName2 <- tempfile(pattern = "spark-test", fileext = ".tmp")

  rdd1 <- parallelize(sc, "Spark is pretty.")
  saveAsObjectFile(rdd1, fileName1)
  rdd2 <- parallelize(sc, "Spark is awesome.")
  saveAsObjectFile(rdd2, fileName2)

  rdd <- objectFile(sc, c(fileName1, fileName2))
  expect_equal(countRDD(rdd), 2)

  unlink(fileName1, recursive = TRUE)
  unlink(fileName2, recursive = TRUE)
})

sparkR.session.stop()