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diff --git a/R/pkg/inst/tests/testthat/test_broadcast.R b/R/pkg/inst/tests/testthat/test_broadcast.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("broadcast variables")
+
+# JavaSparkContext handle
+sc <- sparkR.init()
+
+# Partitioned data
+nums <- 1:2
+rrdd <- parallelize(sc, nums, 2L)
+
+test_that("using broadcast variable", {
+ randomMat <- matrix(nrow=10, ncol=10, data=rnorm(100))
+ randomMatBr <- broadcast(sc, randomMat)
+
+ useBroadcast <- function(x) {
+ sum(SparkR:::value(randomMatBr) * x)
+ }
+ actual <- collect(lapply(rrdd, useBroadcast))
+ expected <- list(sum(randomMat) * 1, sum(randomMat) * 2)
+ expect_equal(actual, expected)
+})
+
+test_that("without using broadcast variable", {
+ randomMat <- matrix(nrow=10, ncol=10, data=rnorm(100))
+
+ useBroadcast <- function(x) {
+ sum(randomMat * x)
+ }
+ actual <- collect(lapply(rrdd, useBroadcast))
+ expected <- list(sum(randomMat) * 1, sum(randomMat) * 2)
+ expect_equal(actual, expected)
+})