9f4ff95524
## 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.
61 lines
2 KiB
R
61 lines
2 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("include R packages")
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# JavaSparkContext handle
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sparkSession <- sparkR.session(master = sparkRTestMaster, 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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rdd <- parallelize(sc, nums, 2L)
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test_that("include inside function", {
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# Only run the test if plyr is installed.
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if ("plyr" %in% rownames(installed.packages())) {
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suppressPackageStartupMessages(library(plyr))
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generateData <- function(x) {
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suppressPackageStartupMessages(library(plyr))
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attach(airquality)
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result <- transform(Ozone, logOzone = log(Ozone))
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result
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}
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data <- lapplyPartition(rdd, generateData)
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actual <- collectRDD(data)
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}
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})
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test_that("use include package", {
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# Only run the test if plyr is installed.
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if ("plyr" %in% rownames(installed.packages())) {
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suppressPackageStartupMessages(library(plyr))
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generateData <- function(x) {
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attach(airquality)
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result <- transform(Ozone, logOzone = log(Ozone))
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result
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}
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includePackage(sc, plyr)
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data <- lapplyPartition(rdd, generateData)
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actual <- collectRDD(data)
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}
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})
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sparkR.session.stop()
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