spark-instrumented-optimizer/R/pkg/inst/tests/testthat/test_binaryFile.R
Felix Cheung c34b546d67 [SPARK-16519][SPARKR] Handle SparkR RDD generics that create warnings in R CMD check
## What changes were proposed in this pull request?

Rename RDD functions for now to avoid CRAN check warnings.
Some RDD functions are sharing generics with DataFrame functions (hence the problem) so after the renames we need to add new generics, for now.

## How was this patch tested?

unit tests

Author: Felix Cheung <felixcheung_m@hotmail.com>

Closes #14626 from felixcheung/rrddfunctions.
2016-08-16 11:19:18 -07:00

93 lines
3.2 KiB
R

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context("functions on binary files")
# JavaSparkContext handle
sparkSession <- sparkR.session(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()