| # |
| # Licensed to the Apache Software Foundation (ASF) under one or more |
| # contributor license agreements. See the NOTICE file distributed with |
| # this work for additional information regarding copyright ownership. |
| # The ASF licenses this file to You under the Apache License, Version 2.0 |
| # (the "License"); you may not use this file except in compliance with |
| # the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| # |
| |
| context("the textFile() function") |
| |
| # 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("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(countRDD(rdd) > 0) |
| expect_equal(countRDD(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(collectRDD(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 <- collectRDD(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)) |
| } |
| collectRDD(rdd) |
| |
| unlink(fileName) |
| expect_true(TRUE) |
| }) |
| |
| 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(collectRDD(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(collectRDD(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 <- collectRDD(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(countRDD(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(collectRDD(lengths), list(1, 1)) |
| |
| lengthsPipelined <- lapply(lengths, function(x) { x + 10 }) |
| expect_equal(collectRDD(lengthsPipelined), list(11, 11)) |
| |
| lengths30 <- lapply(lengthsPipelined, function(x) { x + 20 }) |
| expect_equal(collectRDD(lengths30), list(31, 31)) |
| |
| lengths20 <- lapply(lengths, function(x) { x + 20 }) |
| expect_equal(collectRDD(lengths20), list(21, 21)) |
| |
| unlink(fileName) |
| }) |
| |
| sparkR.session.stop() |