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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.rdd
import java.io.File
import scala.collection.Map
import scala.language.postfixOps
import scala.sys.process._
import scala.util.Try
import org.apache.hadoop.fs.Path
import org.apache.hadoop.io.{LongWritable, Text}
import org.apache.hadoop.mapred.{FileSplit, JobConf, TextInputFormat}
import org.apache.spark._
import org.apache.spark.util.Utils
class PipedRDDSuite extends SparkFunSuite with SharedSparkContext {
test("basic pipe") {
if (testCommandAvailable("cat")) {
val nums = sc.makeRDD(Array(1, 2, 3, 4), 2)
val piped = nums.pipe(Seq("cat"))
val c = piped.collect()
assert(c.size === 4)
assert(c(0) === "1")
assert(c(1) === "2")
assert(c(2) === "3")
assert(c(3) === "4")
} else {
assert(true)
}
}
test("failure in iterating over pipe input") {
if (testCommandAvailable("cat")) {
val nums =
sc.makeRDD(Array(1, 2, 3, 4), 2)
.mapPartitionsWithIndex((index, iterator) => {
new Iterator[Int] {
def hasNext = true
def next() = {
throw new SparkException("Exception to simulate bad scenario")
}
}
})
val piped = nums.pipe(Seq("cat"))
intercept[SparkException] {
piped.collect()
}
}
}
test("advanced pipe") {
if (testCommandAvailable("cat")) {
val nums = sc.makeRDD(Array(1, 2, 3, 4), 2)
val bl = sc.broadcast(List("0"))
val piped = nums.pipe(Seq("cat"),
Map[String, String](),
(f: String => Unit) => {
bl.value.map(f(_)); f("\u0001")
},
(i: Int, f: String => Unit) => f(i + "_"))
val c = piped.collect()
assert(c.size === 8)
assert(c(0) === "0")
assert(c(1) === "\u0001")
assert(c(2) === "1_")
assert(c(3) === "2_")
assert(c(4) === "0")
assert(c(5) === "\u0001")
assert(c(6) === "3_")
assert(c(7) === "4_")
val nums1 = sc.makeRDD(Array("a\t1", "b\t2", "a\t3", "b\t4"), 2)
val d = nums1.groupBy(str => str.split("\t")(0)).
pipe(Seq("cat"),
Map[String, String](),
(f: String => Unit) => {
bl.value.map(f(_)); f("\u0001")
},
(i: Tuple2[String, Iterable[String]], f: String => Unit) => {
for (e <- i._2) {
f(e + "_")
}
}).collect()
assert(d.size === 8)
assert(d(0) === "0")
assert(d(1) === "\u0001")
assert(d(2) === "b\t2_")
assert(d(3) === "b\t4_")
assert(d(4) === "0")
assert(d(5) === "\u0001")
assert(d(6) === "a\t1_")
assert(d(7) === "a\t3_")
} else {
assert(true)
}
}
test("pipe with env variable") {
if (testCommandAvailable("printenv")) {
val nums = sc.makeRDD(Array(1, 2, 3, 4), 2)
val piped = nums.pipe(Seq("printenv", "MY_TEST_ENV"), Map("MY_TEST_ENV" -> "LALALA"))
val c = piped.collect()
assert(c.size === 2)
assert(c(0) === "LALALA")
assert(c(1) === "LALALA")
} else {
assert(true)
}
}
test("pipe with process which cannot be launched due to bad command") {
if (!testCommandAvailable("some_nonexistent_command")) {
val nums = sc.makeRDD(Array(1, 2, 3, 4), 2)
val command = Seq("some_nonexistent_command")
val piped = nums.pipe(command)
val exception = intercept[SparkException] {
piped.collect()
}
assert(exception.getMessage.contains(command.mkString(" ")))
}
}
test("pipe with process which is launched but fails with non-zero exit status") {
if (testCommandAvailable("cat")) {
val nums = sc.makeRDD(Array(1, 2, 3, 4), 2)
val command = Seq("cat", "nonexistent_file")
val piped = nums.pipe(command)
val exception = intercept[SparkException] {
piped.collect()
}
assert(exception.getMessage.contains(command.mkString(" ")))
}
}
test("basic pipe with separate working directory") {
if (testCommandAvailable("cat")) {
val nums = sc.makeRDD(Array(1, 2, 3, 4), 2)
val piped = nums.pipe(Seq("cat"), separateWorkingDir = true)
val c = piped.collect()
assert(c.size === 4)
assert(c(0) === "1")
assert(c(1) === "2")
assert(c(2) === "3")
assert(c(3) === "4")
val pipedPwd = nums.pipe(Seq("pwd"), separateWorkingDir = true)
val collectPwd = pipedPwd.collect()
assert(collectPwd(0).contains("tasks/"))
val pipedLs = nums.pipe(Seq("ls"), separateWorkingDir = true).collect()
// make sure symlinks were created
assert(pipedLs.length > 0)
// clean up top level tasks directory
Utils.deleteRecursively(new File("tasks"))
} else {
assert(true)
}
}
test("test pipe exports map_input_file") {
testExportInputFile("map_input_file")
}
test("test pipe exports mapreduce_map_input_file") {
testExportInputFile("mapreduce_map_input_file")
}
def testCommandAvailable(command: String): Boolean = {
Try(Process(command) !!).isSuccess
}
def testExportInputFile(varName: String) {
if (testCommandAvailable("printenv")) {
val nums = new HadoopRDD(sc, new JobConf(), classOf[TextInputFormat], classOf[LongWritable],
classOf[Text], 2) {
override def getPartitions: Array[Partition] = Array(generateFakeHadoopPartition())
override val getDependencies = List[Dependency[_]]()
override def compute(theSplit: Partition, context: TaskContext) = {
new InterruptibleIterator[(LongWritable, Text)](context, Iterator((new LongWritable(1),
new Text("b"))))
}
}
val hadoopPart1 = generateFakeHadoopPartition()
val pipedRdd = new PipedRDD(nums, "printenv " + varName)
val tContext = TaskContext.empty()
val rddIter = pipedRdd.compute(hadoopPart1, tContext)
val arr = rddIter.toArray
assert(arr(0) == "/some/path")
} else {
// printenv isn't available so just pass the test
}
}
def generateFakeHadoopPartition(): HadoopPartition = {
val split = new FileSplit(new Path("/some/path"), 0, 1,
Array[String]("loc1", "loc2", "loc3", "loc4", "loc5"))
new HadoopPartition(sc.newRddId(), 1, split)
}
}
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