fc472bddd1
## What changes were proposed in this pull request? General rule on skip or not: skip if - RDD tests - tests could run long or complicated (streaming, hivecontext) - tests on error conditions - tests won't likely change/break ## How was this patch tested? unit tests, `R CMD check --as-cran`, `R CMD check` Author: Felix Cheung <felixcheung_m@hotmail.com> Closes #17817 from felixcheung/rskiptest.
56 lines
1.8 KiB
R
56 lines
1.8 KiB
R
#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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context("broadcast variables")
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# JavaSparkContext handle
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sparkSession <- sparkR.session(enableHiveSupport = FALSE)
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sc <- callJStatic("org.apache.spark.sql.api.r.SQLUtils", "getJavaSparkContext", sparkSession)
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# Partitioned data
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nums <- 1:2
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rrdd <- parallelize(sc, nums, 2L)
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test_that("using broadcast variable", {
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skip_on_cran()
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randomMat <- matrix(nrow = 10, ncol = 10, data = rnorm(100))
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randomMatBr <- broadcast(sc, randomMat)
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useBroadcast <- function(x) {
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sum(SparkR:::value(randomMatBr) * x)
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}
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actual <- collectRDD(lapply(rrdd, useBroadcast))
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expected <- list(sum(randomMat) * 1, sum(randomMat) * 2)
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expect_equal(actual, expected)
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})
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test_that("without using broadcast variable", {
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skip_on_cran()
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randomMat <- matrix(nrow = 10, ncol = 10, data = rnorm(100))
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useBroadcast <- function(x) {
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sum(randomMat * x)
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}
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actual <- collectRDD(lapply(rrdd, useBroadcast))
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expected <- list(sum(randomMat) * 1, sum(randomMat) * 2)
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expect_equal(actual, expected)
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})
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sparkR.session.stop()
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