39d677c8f1
This PR: 1. Suppress all known warnings. 2. Cleanup test cases and fix some errors in test cases. 3. Fix errors in HiveContext related test cases. These test cases are actually not run previously due to a bug of creating TestHiveContext. 4. Support 'testthat' package version 0.11.0 which prefers that test cases be under 'tests/testthat' 5. Make sure the default Hadoop file system is local when running test cases. 6. Turn on warnings into errors. Author: Sun Rui <rui.sun@intel.com> Closes #10030 from sun-rui/SPARK-12034.
110 lines
4.3 KiB
R
110 lines
4.3 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("parallelize() and collect()")
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# Mock data
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numVector <- c(-10:97)
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numList <- list(sqrt(1), sqrt(2), sqrt(3), 4 ** 10)
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strVector <- c("Dexter Morgan: I suppose I should be upset, even feel",
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"violated, but I'm not. No, in fact, I think this is a friendly",
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"message, like \"Hey, wanna play?\" and yes, I want to play. ",
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"I really, really do.")
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strList <- list("Dexter Morgan: Blood. Sometimes it sets my teeth on edge, ",
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"other times it helps me control the chaos.",
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"Dexter Morgan: Harry and Dorris Morgan did a wonderful job ",
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"raising me. But they're both dead now. I didn't kill them. Honest.")
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numPairs <- list(list(1, 1), list(1, 2), list(2, 2), list(2, 3))
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strPairs <- list(list(strList, strList), list(strList, strList))
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# JavaSparkContext handle
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jsc <- sparkR.init()
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# Tests
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test_that("parallelize() on simple vectors and lists returns an RDD", {
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numVectorRDD <- parallelize(jsc, numVector, 1)
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numVectorRDD2 <- parallelize(jsc, numVector, 10)
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numListRDD <- parallelize(jsc, numList, 1)
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numListRDD2 <- parallelize(jsc, numList, 4)
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strVectorRDD <- parallelize(jsc, strVector, 2)
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strVectorRDD2 <- parallelize(jsc, strVector, 3)
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strListRDD <- parallelize(jsc, strList, 4)
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strListRDD2 <- parallelize(jsc, strList, 1)
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rdds <- c(numVectorRDD,
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numVectorRDD2,
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numListRDD,
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numListRDD2,
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strVectorRDD,
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strVectorRDD2,
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strListRDD,
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strListRDD2)
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for (rdd in rdds) {
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expect_is(rdd, "RDD")
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expect_true(.hasSlot(rdd, "jrdd")
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&& inherits(rdd@jrdd, "jobj")
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&& isInstanceOf(rdd@jrdd, "org.apache.spark.api.java.JavaRDD"))
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}
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})
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test_that("collect(), following a parallelize(), gives back the original collections", {
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numVectorRDD <- parallelize(jsc, numVector, 10)
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expect_equal(collect(numVectorRDD), as.list(numVector))
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numListRDD <- parallelize(jsc, numList, 1)
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numListRDD2 <- parallelize(jsc, numList, 4)
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expect_equal(collect(numListRDD), as.list(numList))
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expect_equal(collect(numListRDD2), as.list(numList))
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strVectorRDD <- parallelize(jsc, strVector, 2)
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strVectorRDD2 <- parallelize(jsc, strVector, 3)
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expect_equal(collect(strVectorRDD), as.list(strVector))
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expect_equal(collect(strVectorRDD2), as.list(strVector))
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strListRDD <- parallelize(jsc, strList, 4)
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strListRDD2 <- parallelize(jsc, strList, 1)
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expect_equal(collect(strListRDD), as.list(strList))
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expect_equal(collect(strListRDD2), as.list(strList))
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})
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test_that("regression: collect() following a parallelize() does not drop elements", {
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# 10 %/% 6 = 1, ceiling(10 / 6) = 2
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collLen <- 10
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numPart <- 6
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expected <- runif(collLen)
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actual <- collect(parallelize(jsc, expected, numPart))
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expect_equal(actual, as.list(expected))
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})
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test_that("parallelize() and collect() work for lists of pairs (pairwise data)", {
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# use the pairwise logical to indicate pairwise data
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numPairsRDDD1 <- parallelize(jsc, numPairs, 1)
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numPairsRDDD2 <- parallelize(jsc, numPairs, 2)
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numPairsRDDD3 <- parallelize(jsc, numPairs, 3)
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expect_equal(collect(numPairsRDDD1), numPairs)
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expect_equal(collect(numPairsRDDD2), numPairs)
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expect_equal(collect(numPairsRDDD3), numPairs)
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# can also leave out the parameter name, if the params are supplied in order
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strPairsRDDD1 <- parallelize(jsc, strPairs, 1)
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strPairsRDDD2 <- parallelize(jsc, strPairs, 2)
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expect_equal(collect(strPairsRDDD1), strPairs)
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expect_equal(collect(strPairsRDDD2), strPairs)
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})
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