1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
|
#
# 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.
# See the License for the specific language governing permissions and
# limitations under the License.
#
context("tests RDD function take()")
# Mock data
numVector <- c(-10:97)
numList <- list(sqrt(1), sqrt(2), sqrt(3), 4 ** 10)
strVector <- c("Dexter Morgan: I suppose I should be upset, even feel",
"violated, but I'm not. No, in fact, I think this is a friendly",
"message, like \"Hey, wanna play?\" and yes, I want to play. ",
"I really, really do.")
strList <- list("Dexter Morgan: Blood. Sometimes it sets my teeth on edge, ",
"other times it helps me control the chaos.",
"Dexter Morgan: Harry and Dorris Morgan did a wonderful job ",
"raising me. But they're both dead now. I didn't kill them. Honest.")
# JavaSparkContext handle
sparkSession <- sparkR.session(enableHiveSupport = FALSE)
sc <- callJStatic("org.apache.spark.sql.api.r.SQLUtils", "getJavaSparkContext", sparkSession)
test_that("take() gives back the original elements in correct count and order", {
numVectorRDD <- parallelize(sc, numVector, 10)
# case: number of elements to take is less than the size of the first partition
expect_equal(take(numVectorRDD, 1), as.list(head(numVector, n = 1)))
# case: number of elements to take is the same as the size of the first partition
expect_equal(take(numVectorRDD, 11), as.list(head(numVector, n = 11)))
# case: number of elements to take is greater than all elements
expect_equal(take(numVectorRDD, length(numVector)), as.list(numVector))
expect_equal(take(numVectorRDD, length(numVector) + 1), as.list(numVector))
numListRDD <- parallelize(sc, numList, 1)
numListRDD2 <- parallelize(sc, numList, 4)
expect_equal(take(numListRDD, 3), take(numListRDD2, 3))
expect_equal(take(numListRDD, 5), take(numListRDD2, 5))
expect_equal(take(numListRDD, 1), as.list(head(numList, n = 1)))
expect_equal(take(numListRDD2, 999), numList)
strVectorRDD <- parallelize(sc, strVector, 2)
strVectorRDD2 <- parallelize(sc, strVector, 3)
expect_equal(take(strVectorRDD, 4), as.list(strVector))
expect_equal(take(strVectorRDD2, 2), as.list(head(strVector, n = 2)))
strListRDD <- parallelize(sc, strList, 4)
strListRDD2 <- parallelize(sc, strList, 1)
expect_equal(take(strListRDD, 3), as.list(head(strList, n = 3)))
expect_equal(take(strListRDD2, 1), as.list(head(strList, n = 1)))
expect_equal(length(take(strListRDD, 0)), 0)
expect_equal(length(take(strVectorRDD, 0)), 0)
expect_equal(length(take(numListRDD, 0)), 0)
expect_equal(length(take(numVectorRDD, 0)), 0)
})
sparkR.session.stop()
|
