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#
# 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("binary functions")
# JavaSparkContext handle
sparkSession <- sparkR.session(master = sparkRTestMaster, enableHiveSupport = FALSE)
sc <- callJStatic("org.apache.spark.sql.api.r.SQLUtils", "getJavaSparkContext", sparkSession)
# Data
nums <- 1:10
rdd <- parallelize(sc, nums, 2L)
# File content
mockFile <- c("Spark is pretty.", "Spark is awesome.")
test_that("union on two RDDs", {
actual <- collectRDD(unionRDD(rdd, rdd))
expect_equal(actual, as.list(rep(nums, 2)))
fileName <- tempfile(pattern = "spark-test", fileext = ".tmp")
writeLines(mockFile, fileName)
text.rdd <- textFile(sc, fileName)
union.rdd <- unionRDD(rdd, text.rdd)
actual <- collectRDD(union.rdd)
expect_equal(actual, c(as.list(nums), mockFile))
expect_equal(getSerializedMode(union.rdd), "byte")
rdd <- map(text.rdd, function(x) {x})
union.rdd <- unionRDD(rdd, text.rdd)
actual <- collectRDD(union.rdd)
expect_equal(actual, as.list(c(mockFile, mockFile)))
expect_equal(getSerializedMode(union.rdd), "byte")
unlink(fileName)
})
test_that("cogroup on two RDDs", {
rdd1 <- parallelize(sc, list(list(1, 1), list(2, 4)))
rdd2 <- parallelize(sc, list(list(1, 2), list(1, 3)))
cogroup.rdd <- cogroup(rdd1, rdd2, numPartitions = 2L)
actual <- collectRDD(cogroup.rdd)
expect_equal(actual,
list(list(1, list(list(1), list(2, 3))), list(2, list(list(4), list()))))
rdd1 <- parallelize(sc, list(list("a", 1), list("a", 4)))
rdd2 <- parallelize(sc, list(list("b", 2), list("a", 3)))
cogroup.rdd <- cogroup(rdd1, rdd2, numPartitions = 2L)
actual <- collectRDD(cogroup.rdd)
expected <- list(list("b", list(list(), list(2))), list("a", list(list(1, 4), list(3))))
expect_equal(sortKeyValueList(actual),
sortKeyValueList(expected))
})
test_that("zipPartitions() on RDDs", {
rdd1 <- parallelize(sc, 1:2, 2L) # 1, 2
rdd2 <- parallelize(sc, 1:4, 2L) # 1:2, 3:4
rdd3 <- parallelize(sc, 1:6, 2L) # 1:3, 4:6
actual <- collectRDD(zipPartitions(rdd1, rdd2, rdd3,
func = function(x, y, z) { list(list(x, y, z))}))
expect_equal(actual,
list(list(1, c(1, 2), c(1, 2, 3)), list(2, c(3, 4), c(4, 5, 6))))
mockFile <- c("Spark is pretty.", "Spark is awesome.")
fileName <- tempfile(pattern = "spark-test", fileext = ".tmp")
writeLines(mockFile, fileName)
rdd <- textFile(sc, fileName, 1)
actual <- collectRDD(zipPartitions(rdd, rdd,
func = function(x, y) { list(paste(x, y, sep = "\n")) }))
expected <- list(paste(mockFile, mockFile, sep = "\n"))
expect_equal(actual, expected)
rdd1 <- parallelize(sc, 0:1, 1)
actual <- collectRDD(zipPartitions(rdd1, rdd,
func = function(x, y) { list(x + nchar(y)) }))
expected <- list(0:1 + nchar(mockFile))
expect_equal(actual, expected)
rdd <- map(rdd, function(x) { x })
actual <- collectRDD(zipPartitions(rdd, rdd1,
func = function(x, y) { list(y + nchar(x)) }))
expect_equal(actual, expected)
unlink(fileName)
})
sparkR.session.stop()