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/*
* 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.
*/
package org.apache.spark
import com.google.common.io.Files
import org.scalatest.FunSuite
import java.io.{File, PrintWriter, FileReader, BufferedReader}
import SparkContext._
class FileServerSuite extends FunSuite with LocalSparkContext {
@transient var tmpFile: File = _
@transient var testJarFile: File = _
override def beforeEach() {
super.beforeEach()
// Create a sample text file
val tmpdir = new File(Files.createTempDir(), "test")
tmpdir.mkdir()
tmpFile = new File(tmpdir, "FileServerSuite.txt")
val pw = new PrintWriter(tmpFile)
pw.println("100")
pw.close()
}
override def afterEach() {
super.afterEach()
// Clean up downloaded file
if (tmpFile.exists) {
tmpFile.delete()
}
}
test("Distributing files locally") {
sc = new SparkContext("local[4]", "test")
sc.addFile(tmpFile.toString)
val testData = Array((1,1), (1,1), (2,1), (3,5), (2,2), (3,0))
val result = sc.parallelize(testData).reduceByKey {
val path = SparkFiles.get("FileServerSuite.txt")
val in = new BufferedReader(new FileReader(path))
val fileVal = in.readLine().toInt
in.close()
_ * fileVal + _ * fileVal
}.collect()
assert(result.toSet === Set((1,200), (2,300), (3,500)))
}
test("Distributing files locally using URL as input") {
// addFile("file:///....")
sc = new SparkContext("local[4]", "test")
sc.addFile(new File(tmpFile.toString).toURI.toString)
val testData = Array((1,1), (1,1), (2,1), (3,5), (2,2), (3,0))
val result = sc.parallelize(testData).reduceByKey {
val path = SparkFiles.get("FileServerSuite.txt")
val in = new BufferedReader(new FileReader(path))
val fileVal = in.readLine().toInt
in.close()
_ * fileVal + _ * fileVal
}.collect()
assert(result.toSet === Set((1,200), (2,300), (3,500)))
}
test ("Dynamically adding JARS locally") {
sc = new SparkContext("local[4]", "test")
val sampleJarFile = getClass.getClassLoader.getResource("uncommons-maths-1.2.2.jar").getFile()
sc.addJar(sampleJarFile)
val testData = Array((1,1), (1,1), (2,1), (3,5), (2,3), (3,0))
val result = sc.parallelize(testData).reduceByKey { (x,y) =>
val fac = Thread.currentThread.getContextClassLoader()
.loadClass("org.uncommons.maths.Maths")
.getDeclaredMethod("factorial", classOf[Int])
val a = fac.invoke(null, x.asInstanceOf[java.lang.Integer]).asInstanceOf[Long].toInt
val b = fac.invoke(null, y.asInstanceOf[java.lang.Integer]).asInstanceOf[Long].toInt
a + b
}.collect()
assert(result.toSet === Set((1,2), (2,7), (3,121)))
}
test("Distributing files on a standalone cluster") {
sc = new SparkContext("local-cluster[1,1,512]", "test")
sc.addFile(tmpFile.toString)
val testData = Array((1,1), (1,1), (2,1), (3,5), (2,2), (3,0))
val result = sc.parallelize(testData).reduceByKey {
val path = SparkFiles.get("FileServerSuite.txt")
val in = new BufferedReader(new FileReader(path))
val fileVal = in.readLine().toInt
in.close()
_ * fileVal + _ * fileVal
}.collect()
assert(result.toSet === Set((1,200), (2,300), (3,500)))
}
test ("Dynamically adding JARS on a standalone cluster") {
sc = new SparkContext("local-cluster[1,1,512]", "test")
val sampleJarFile = getClass.getClassLoader.getResource("uncommons-maths-1.2.2.jar").getFile()
sc.addJar(sampleJarFile)
val testData = Array((1,1), (1,1), (2,1), (3,5), (2,3), (3,0))
val result = sc.parallelize(testData).reduceByKey { (x,y) =>
val fac = Thread.currentThread.getContextClassLoader()
.loadClass("org.uncommons.maths.Maths")
.getDeclaredMethod("factorial", classOf[Int])
val a = fac.invoke(null, x.asInstanceOf[java.lang.Integer]).asInstanceOf[Long].toInt
val b = fac.invoke(null, y.asInstanceOf[java.lang.Integer]).asInstanceOf[Long].toInt
a + b
}.collect()
assert(result.toSet === Set((1,2), (2,7), (3,121)))
}
}
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