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diff --git a/R/pkg/inst/tests/testthat/test_parallelize_collect.R b/R/pkg/inst/tests/testthat/test_parallelize_collect.R
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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("parallelize() and collect()")
+
+# Mock data
+numVector <- c(-10:97)
+numList <- list(sqrt(1), sqrt(2), sqrt(3), 4 ** 10)
+strVector <- c("Dexter Morgan: I suppose I should be upset, even feel",
+               "violated, but I'm not. No, in fact, I think this is a friendly",
+               "message, like \"Hey, wanna play?\" and yes, I want to play. ",
+               "I really, really do.")
+strList <- list("Dexter Morgan: Blood. Sometimes it sets my teeth on edge, ",
+                "other times it helps me control the chaos.",
+                "Dexter Morgan: Harry and Dorris Morgan did a wonderful job ",
+                "raising me. But they're both dead now. I didn't kill them. Honest.")
+
+numPairs <- list(list(1, 1), list(1, 2), list(2, 2), list(2, 3))
+strPairs <- list(list(strList, strList), list(strList, strList))
+
+# JavaSparkContext handle
+jsc <- sparkR.init()
+
+# Tests
+
+test_that("parallelize() on simple vectors and lists returns an RDD", {
+  numVectorRDD <- parallelize(jsc, numVector, 1)
+  numVectorRDD2 <- parallelize(jsc, numVector, 10)
+  numListRDD <- parallelize(jsc, numList, 1)
+  numListRDD2 <- parallelize(jsc, numList, 4)
+  strVectorRDD <- parallelize(jsc, strVector, 2)
+  strVectorRDD2 <- parallelize(jsc, strVector, 3)
+  strListRDD <- parallelize(jsc, strList, 4)
+  strListRDD2 <- parallelize(jsc, strList, 1)
+
+  rdds <- c(numVectorRDD,
+             numVectorRDD2,
+             numListRDD,
+             numListRDD2,
+             strVectorRDD,
+             strVectorRDD2,
+             strListRDD,
+             strListRDD2)
+
+  for (rdd in rdds) {
+    expect_is(rdd, "RDD")
+    expect_true(.hasSlot(rdd, "jrdd")
+                && inherits(rdd@jrdd, "jobj")
+                && isInstanceOf(rdd@jrdd, "org.apache.spark.api.java.JavaRDD"))
+  }
+})
+
+test_that("collect(), following a parallelize(), gives back the original collections", {
+  numVectorRDD <- parallelize(jsc, numVector, 10)
+  expect_equal(collect(numVectorRDD), as.list(numVector))
+
+  numListRDD <- parallelize(jsc, numList, 1)
+  numListRDD2 <- parallelize(jsc, numList, 4)
+  expect_equal(collect(numListRDD), as.list(numList))
+  expect_equal(collect(numListRDD2), as.list(numList))
+
+  strVectorRDD <- parallelize(jsc, strVector, 2)
+  strVectorRDD2 <- parallelize(jsc, strVector, 3)
+  expect_equal(collect(strVectorRDD), as.list(strVector))
+  expect_equal(collect(strVectorRDD2), as.list(strVector))
+
+  strListRDD <- parallelize(jsc, strList, 4)
+  strListRDD2 <- parallelize(jsc, strList, 1)
+  expect_equal(collect(strListRDD), as.list(strList))
+  expect_equal(collect(strListRDD2), as.list(strList))
+})
+
+test_that("regression: collect() following a parallelize() does not drop elements", {
+  # 10 %/% 6 = 1, ceiling(10 / 6) = 2
+  collLen <- 10
+  numPart <- 6
+  expected <- runif(collLen)
+  actual <- collect(parallelize(jsc, expected, numPart))
+  expect_equal(actual, as.list(expected))
+})
+
+test_that("parallelize() and collect() work for lists of pairs (pairwise data)", {
+  # use the pairwise logical to indicate pairwise data
+  numPairsRDDD1 <- parallelize(jsc, numPairs, 1)
+  numPairsRDDD2 <- parallelize(jsc, numPairs, 2)
+  numPairsRDDD3 <- parallelize(jsc, numPairs, 3)
+  expect_equal(collect(numPairsRDDD1), numPairs)
+  expect_equal(collect(numPairsRDDD2), numPairs)
+  expect_equal(collect(numPairsRDDD3), numPairs)
+  # can also leave out the parameter name, if the params are supplied in order
+  strPairsRDDD1 <- parallelize(jsc, strPairs, 1)
+  strPairsRDDD2 <- parallelize(jsc, strPairs, 2)
+  expect_equal(collect(strPairsRDDD1), strPairs)
+  expect_equal(collect(strPairsRDDD2), strPairs)
+})