spark-instrumented-optimizer/R/pkg/tests/fulltests/test_broadcast.R
Felix Cheung 9f4ff95524 [SPARK-20877][SPARKR][FOLLOWUP] clean up after test move
## What changes were proposed in this pull request?

clean up after big test move

## How was this patch tested?

unit tests, jenkins

Author: Felix Cheung <felixcheung_m@hotmail.com>

Closes #18267 from felixcheung/rtestset2.
2017-06-11 03:00:44 -07:00

52 lines
1.8 KiB
R

#
# 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.
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#
context("broadcast variables")
# JavaSparkContext handle
sparkSession <- sparkR.session(master = sparkRTestMaster, enableHiveSupport = FALSE)
sc <- callJStatic("org.apache.spark.sql.api.r.SQLUtils", "getJavaSparkContext", sparkSession)
# 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 <- broadcastRDD(sc, randomMat)
useBroadcast <- function(x) {
sum(SparkR:::value(randomMatBr) * x)
}
actual <- collectRDD(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 <- collectRDD(lapply(rrdd, useBroadcast))
expected <- list(sum(randomMat) * 1, sum(randomMat) * 2)
expect_equal(actual, expected)
})
sparkR.session.stop()