spark-instrumented-optimizer/R/pkg/inst/tests/testthat/test_textFile.R
Sun Rui c7e68c3968 [SPARK-13812][SPARKR] Fix SparkR lint-r test errors.
## What changes were proposed in this pull request?

This PR fixes all newly captured SparkR lint-r errors after the lintr package is updated from github.

## How was this patch tested?

dev/lint-r
SparkR unit tests

Author: Sun Rui <rui.sun@intel.com>

Closes #11652 from sun-rui/SPARK-13812.
2016-03-13 14:30:44 -07:00

162 lines
5 KiB
R

#
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# (the "License"); you may not use this file except in compliance with
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
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context("the textFile() function")
# JavaSparkContext handle
sc <- sparkR.init()
mockFile <- c("Spark is pretty.", "Spark is awesome.")
test_that("textFile() on a local file returns an RDD", {
fileName <- tempfile(pattern = "spark-test", fileext = ".tmp")
writeLines(mockFile, fileName)
rdd <- textFile(sc, fileName)
expect_is(rdd, "RDD")
expect_true(count(rdd) > 0)
expect_equal(count(rdd), 2)
unlink(fileName)
})
test_that("textFile() followed by a collect() returns the same content", {
fileName <- tempfile(pattern = "spark-test", fileext = ".tmp")
writeLines(mockFile, fileName)
rdd <- textFile(sc, fileName)
expect_equal(collect(rdd), as.list(mockFile))
unlink(fileName)
})
test_that("textFile() word count works as expected", {
fileName <- tempfile(pattern = "spark-test", fileext = ".tmp")
writeLines(mockFile, fileName)
rdd <- textFile(sc, fileName)
words <- flatMap(rdd, function(line) { strsplit(line, " ")[[1]] })
wordCount <- lapply(words, function(word) { list(word, 1L) })
counts <- reduceByKey(wordCount, "+", 2L)
output <- collect(counts)
expected <- list(list("pretty.", 1), list("is", 2), list("awesome.", 1),
list("Spark", 2))
expect_equal(sortKeyValueList(output), sortKeyValueList(expected))
unlink(fileName)
})
test_that("several transformations on RDD created by textFile()", {
fileName <- tempfile(pattern = "spark-test", fileext = ".tmp")
writeLines(mockFile, fileName)
rdd <- textFile(sc, fileName) # RDD
for (i in 1:10) {
# PipelinedRDD initially created from RDD
rdd <- lapply(rdd, function(x) paste(x, x))
}
collect(rdd)
unlink(fileName)
})
test_that("textFile() followed by a saveAsTextFile() returns the same content", {
fileName1 <- tempfile(pattern = "spark-test", fileext = ".tmp")
fileName2 <- tempfile(pattern = "spark-test", fileext = ".tmp")
writeLines(mockFile, fileName1)
rdd <- textFile(sc, fileName1, 1L)
saveAsTextFile(rdd, fileName2)
rdd <- textFile(sc, fileName2)
expect_equal(collect(rdd), as.list(mockFile))
unlink(fileName1)
unlink(fileName2)
})
test_that("saveAsTextFile() on a parallelized list works as expected", {
fileName <- tempfile(pattern = "spark-test", fileext = ".tmp")
l <- list(1, 2, 3)
rdd <- parallelize(sc, l, 1L)
saveAsTextFile(rdd, fileName)
rdd <- textFile(sc, fileName)
expect_equal(collect(rdd), lapply(l, function(x) {toString(x)}))
unlink(fileName)
})
test_that("textFile() and saveAsTextFile() word count works as expected", {
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)
saveAsTextFile(counts, fileName2)
rdd <- textFile(sc, fileName2)
output <- collect(rdd)
expected <- list(list("awesome.", 1), list("Spark", 2),
list("pretty.", 1), list("is", 2))
expectedStr <- lapply(expected, function(x) { toString(x) })
expect_equal(sortKeyValueList(output), sortKeyValueList(expectedStr))
unlink(fileName1)
unlink(fileName2)
})
test_that("textFile() on multiple paths", {
fileName1 <- tempfile(pattern = "spark-test", fileext = ".tmp")
fileName2 <- tempfile(pattern = "spark-test", fileext = ".tmp")
writeLines("Spark is pretty.", fileName1)
writeLines("Spark is awesome.", fileName2)
rdd <- textFile(sc, c(fileName1, fileName2))
expect_equal(count(rdd), 2)
unlink(fileName1)
unlink(fileName2)
})
test_that("Pipelined operations on RDDs created using textFile", {
fileName <- tempfile(pattern = "spark-test", fileext = ".tmp")
writeLines(mockFile, fileName)
rdd <- textFile(sc, fileName)
lengths <- lapply(rdd, function(x) { length(x) })
expect_equal(collect(lengths), list(1, 1))
lengthsPipelined <- lapply(lengths, function(x) { x + 10 })
expect_equal(collect(lengthsPipelined), list(11, 11))
lengths30 <- lapply(lengthsPipelined, function(x) { x + 20 })
expect_equal(collect(lengths30), list(31, 31))
lengths20 <- lapply(lengths, function(x) { x + 20 })
expect_equal(collect(lengths20), list(21, 21))
unlink(fileName)
})