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
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
|
package spark
import java.io.{FileWriter, PrintWriter, File}
import scala.io.Source
import com.google.common.io.Files
import org.scalatest.FunSuite
import org.apache.hadoop.io._
import SparkContext._
class FileSuite extends FunSuite with LocalSparkContext {
test("text files") {
sc = new SparkContext("local", "test")
val tempDir = Files.createTempDir()
val outputDir = new File(tempDir, "output").getAbsolutePath
val nums = sc.makeRDD(1 to 4)
nums.saveAsTextFile(outputDir)
// Read the plain text file and check it's OK
val outputFile = new File(outputDir, "part-00000")
val content = Source.fromFile(outputFile).mkString
assert(content === "1\n2\n3\n4\n")
// Also try reading it in as a text file RDD
assert(sc.textFile(outputDir).collect().toList === List("1", "2", "3", "4"))
}
test("SequenceFiles") {
sc = new SparkContext("local", "test")
val tempDir = Files.createTempDir()
val outputDir = new File(tempDir, "output").getAbsolutePath
val nums = sc.makeRDD(1 to 3).map(x => (x, "a" * x)) // (1,a), (2,aa), (3,aaa)
nums.saveAsSequenceFile(outputDir)
// Try reading the output back as a SequenceFile
val output = sc.sequenceFile[IntWritable, Text](outputDir)
assert(output.map(_.toString).collect().toList === List("(1,a)", "(2,aa)", "(3,aaa)"))
}
test("SequenceFile with writable key") {
sc = new SparkContext("local", "test")
val tempDir = Files.createTempDir()
val outputDir = new File(tempDir, "output").getAbsolutePath
val nums = sc.makeRDD(1 to 3).map(x => (new IntWritable(x), "a" * x))
nums.saveAsSequenceFile(outputDir)
// Try reading the output back as a SequenceFile
val output = sc.sequenceFile[IntWritable, Text](outputDir)
assert(output.map(_.toString).collect().toList === List("(1,a)", "(2,aa)", "(3,aaa)"))
}
test("SequenceFile with writable value") {
sc = new SparkContext("local", "test")
val tempDir = Files.createTempDir()
val outputDir = new File(tempDir, "output").getAbsolutePath
val nums = sc.makeRDD(1 to 3).map(x => (x, new Text("a" * x)))
nums.saveAsSequenceFile(outputDir)
// Try reading the output back as a SequenceFile
val output = sc.sequenceFile[IntWritable, Text](outputDir)
assert(output.map(_.toString).collect().toList === List("(1,a)", "(2,aa)", "(3,aaa)"))
}
test("SequenceFile with writable key and value") {
sc = new SparkContext("local", "test")
val tempDir = Files.createTempDir()
val outputDir = new File(tempDir, "output").getAbsolutePath
val nums = sc.makeRDD(1 to 3).map(x => (new IntWritable(x), new Text("a" * x)))
nums.saveAsSequenceFile(outputDir)
// Try reading the output back as a SequenceFile
val output = sc.sequenceFile[IntWritable, Text](outputDir)
assert(output.map(_.toString).collect().toList === List("(1,a)", "(2,aa)", "(3,aaa)"))
}
test("implicit conversions in reading SequenceFiles") {
sc = new SparkContext("local", "test")
val tempDir = Files.createTempDir()
val outputDir = new File(tempDir, "output").getAbsolutePath
val nums = sc.makeRDD(1 to 3).map(x => (x, "a" * x)) // (1,a), (2,aa), (3,aaa)
nums.saveAsSequenceFile(outputDir)
// Similar to the tests above, we read a SequenceFile, but this time we pass type params
// that are convertable to Writable instead of calling sequenceFile[IntWritable, Text]
val output1 = sc.sequenceFile[Int, String](outputDir)
assert(output1.collect().toList === List((1, "a"), (2, "aa"), (3, "aaa")))
// Also try having one type be a subclass of Writable and one not
val output2 = sc.sequenceFile[Int, Text](outputDir)
assert(output2.map(_.toString).collect().toList === List("(1,a)", "(2,aa)", "(3,aaa)"))
val output3 = sc.sequenceFile[IntWritable, String](outputDir)
assert(output3.map(_.toString).collect().toList === List("(1,a)", "(2,aa)", "(3,aaa)"))
}
test("object files of ints") {
sc = new SparkContext("local", "test")
val tempDir = Files.createTempDir()
val outputDir = new File(tempDir, "output").getAbsolutePath
val nums = sc.makeRDD(1 to 4)
nums.saveAsObjectFile(outputDir)
// Try reading the output back as an object file
val output = sc.objectFile[Int](outputDir)
assert(output.collect().toList === List(1, 2, 3, 4))
}
test("object files of complex types") {
sc = new SparkContext("local", "test")
val tempDir = Files.createTempDir()
val outputDir = new File(tempDir, "output").getAbsolutePath
val nums = sc.makeRDD(1 to 3).map(x => (x, "a" * x))
nums.saveAsObjectFile(outputDir)
// Try reading the output back as an object file
val output = sc.objectFile[(Int, String)](outputDir)
assert(output.collect().toList === List((1, "a"), (2, "aa"), (3, "aaa")))
}
test("write SequenceFile using new Hadoop API") {
import org.apache.hadoop.mapreduce.lib.output.SequenceFileOutputFormat
sc = new SparkContext("local", "test")
val tempDir = Files.createTempDir()
val outputDir = new File(tempDir, "output").getAbsolutePath
val nums = sc.makeRDD(1 to 3).map(x => (new IntWritable(x), new Text("a" * x)))
nums.saveAsNewAPIHadoopFile[SequenceFileOutputFormat[IntWritable, Text]](
outputDir)
val output = sc.sequenceFile[IntWritable, Text](outputDir)
assert(output.map(_.toString).collect().toList === List("(1,a)", "(2,aa)", "(3,aaa)"))
}
test("read SequenceFile using new Hadoop API") {
import org.apache.hadoop.mapreduce.lib.input.SequenceFileInputFormat
sc = new SparkContext("local", "test")
val tempDir = Files.createTempDir()
val outputDir = new File(tempDir, "output").getAbsolutePath
val nums = sc.makeRDD(1 to 3).map(x => (new IntWritable(x), new Text("a" * x)))
nums.saveAsSequenceFile(outputDir)
val output =
sc.newAPIHadoopFile[IntWritable, Text, SequenceFileInputFormat[IntWritable, Text]](outputDir)
assert(output.map(_.toString).collect().toList === List("(1,a)", "(2,aa)", "(3,aaa)"))
}
test("file caching") {
sc = new SparkContext("local", "test")
val tempDir = Files.createTempDir()
val out = new FileWriter(tempDir + "/input")
out.write("Hello world!\n")
out.write("What's up?\n")
out.write("Goodbye\n")
out.close()
val rdd = sc.textFile(tempDir + "/input").cache()
assert(rdd.count() === 3)
assert(rdd.count() === 3)
assert(rdd.count() === 3)
}
}
|