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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 org.apache.hadoop.io.compress.{DefaultCodec, CompressionCodec, GzipCodec}
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("text files (compressed)") {
sc = new SparkContext("local", "test")
val tempDir = Files.createTempDir()
val normalDir = new File(tempDir, "output_normal").getAbsolutePath
val compressedOutputDir = new File(tempDir, "output_compressed").getAbsolutePath
val codec = new DefaultCodec()
val data = sc.parallelize("a" * 10000, 1)
data.saveAsTextFile(normalDir)
data.saveAsTextFile(compressedOutputDir, classOf[DefaultCodec])
val normalFile = new File(normalDir, "part-00000")
val normalContent = sc.textFile(normalDir).collect
assert(normalContent === Array.fill(10000)("a"))
val compressedFile = new File(compressedOutputDir, "part-00000" + codec.getDefaultExtension)
val compressedContent = sc.textFile(compressedOutputDir).collect
assert(compressedContent === Array.fill(10000)("a"))
assert(compressedFile.length < normalFile.length)
}
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 (compressed)") {
sc = new SparkContext("local", "test")
val tempDir = Files.createTempDir()
val normalDir = new File(tempDir, "output_normal").getAbsolutePath
val compressedOutputDir = new File(tempDir, "output_compressed").getAbsolutePath
val codec = new DefaultCodec()
val data = sc.parallelize(Seq.fill(100)("abc"), 1).map(x => (x, x))
data.saveAsSequenceFile(normalDir)
data.saveAsSequenceFile(compressedOutputDir, Some(classOf[DefaultCodec]))
val normalFile = new File(normalDir, "part-00000")
val normalContent = sc.sequenceFile[String, String](normalDir).collect
assert(normalContent === Array.fill(100)("abc", "abc"))
val compressedFile = new File(compressedOutputDir, "part-00000" + codec.getDefaultExtension)
val compressedContent = sc.sequenceFile[String, String](compressedOutputDir).collect
assert(compressedContent === Array.fill(100)("abc", "abc"))
assert(compressedFile.length < normalFile.length)
}
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)
}
}
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