c34b546d67
## What changes were proposed in this pull request? Rename RDD functions for now to avoid CRAN check warnings. Some RDD functions are sharing generics with DataFrame functions (hence the problem) so after the renames we need to add new generics, for now. ## How was this patch tested? unit tests Author: Felix Cheung <felixcheung_m@hotmail.com> Closes #14626 from felixcheung/rrddfunctions.
70 lines
3.3 KiB
R
70 lines
3.3 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("tests RDD function take()")
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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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# 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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test_that("take() gives back the original elements in correct count and order", {
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numVectorRDD <- parallelize(sc, numVector, 10)
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# case: number of elements to take is less than the size of the first partition
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expect_equal(takeRDD(numVectorRDD, 1), as.list(head(numVector, n = 1)))
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# case: number of elements to take is the same as the size of the first partition
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expect_equal(takeRDD(numVectorRDD, 11), as.list(head(numVector, n = 11)))
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# case: number of elements to take is greater than all elements
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expect_equal(takeRDD(numVectorRDD, length(numVector)), as.list(numVector))
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expect_equal(takeRDD(numVectorRDD, length(numVector) + 1), as.list(numVector))
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numListRDD <- parallelize(sc, numList, 1)
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numListRDD2 <- parallelize(sc, numList, 4)
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expect_equal(takeRDD(numListRDD, 3), takeRDD(numListRDD2, 3))
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expect_equal(takeRDD(numListRDD, 5), takeRDD(numListRDD2, 5))
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expect_equal(takeRDD(numListRDD, 1), as.list(head(numList, n = 1)))
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expect_equal(takeRDD(numListRDD2, 999), numList)
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strVectorRDD <- parallelize(sc, strVector, 2)
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strVectorRDD2 <- parallelize(sc, strVector, 3)
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expect_equal(takeRDD(strVectorRDD, 4), as.list(strVector))
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expect_equal(takeRDD(strVectorRDD2, 2), as.list(head(strVector, n = 2)))
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strListRDD <- parallelize(sc, strList, 4)
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strListRDD2 <- parallelize(sc, strList, 1)
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expect_equal(takeRDD(strListRDD, 3), as.list(head(strList, n = 3)))
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expect_equal(takeRDD(strListRDD2, 1), as.list(head(strList, n = 1)))
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expect_equal(length(takeRDD(strListRDD, 0)), 0)
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expect_equal(length(takeRDD(strVectorRDD, 0)), 0)
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expect_equal(length(takeRDD(numListRDD, 0)), 0)
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expect_equal(length(takeRDD(numVectorRDD, 0)), 0)
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})
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sparkR.session.stop()
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