scala - 使用sbt编译spark项目时 Unresolved 依赖项问题

Question

我正在尝试使用sbt 0.13.8编译一个非常简单的spark项目，其唯一功能是

Test.scala

import org.apache.spark.SparkContext
import org.apache.spark.SparkContext._
import org.apache.spark.SparkConf

object SimpleApp {
  def main(args: Array[String]) {
    val logFile = "YOUR_SPARK_HOME/README.md" // Should be some file on your system
    val conf = new SparkConf().setAppName("Simple Application")
    val sc = new SparkContext(conf)
    val logData = sc.textFile(logFile, 2).cache()
    val numAs = logData.filter(line => line.contains("a")).count()
    val numBs = logData.filter(line => line.contains("b")).count()
    println("Lines with a: %s, Lines with b: %s".format(numAs, numBs))
  }
}

projet根目录中的 build.sbt 文件如下:

name := "Test"

version := "1.0"

scalaVersion := "2.11.7"

libraryDependencies += "org.apache.spark" %% "spark-core" % "1.5.2"

resolvers ++= Seq(
  "Apache Repository" at "https://repository.apache.org/content/repositories/releases/",
  "Cloudera Repository" at "https://repository.cloudera.com/artifactory/cloudera-repos/",
  Resolver.sonatypeRepo("public")
)

sbt compile返回的错误为:

[warn]  ::::::::::::::::::::::::::::::::::::::::::::::
[warn]  ::          UNRESOLVED DEPENDENCIES         ::
[warn]  ::::::::::::::::::::::::::::::::::::::::::::::
[warn]  :: oro#oro;2.0.8: configuration not found in oro#oro;2.0.8: 'master(compile)'. Missing configuration: 'compile'. It was required from org.apache.spark#spark-core_2.11;1.5.2 compile
[warn]  ::::::::::::::::::::::::::::::::::::::::::::::
[warn] 
[warn]  Note: Unresolved dependencies path:
[warn]      oro:oro:2.0.8
[warn]        +- org.apache.spark:spark-core_2.11:1.5.2 (/home/osboxes/Documents/bookings/Test/build.sbt#L7-8)
[warn]        +- default:test_2.11:1.0
sbt.ResolveException: unresolved dependency: oro#oro;2.0.8: configuration not found in oro#oro;2.0.8: 'master(compile)'. Missing configuration: 'compile'. It was required from org.apache.spark#spark-core_2.11;1.5.2 compile
    at sbt.IvyActions$.sbt$IvyActions$$resolve(IvyActions.scala:291)
    at sbt.IvyActions$$anonfun$updateEither$1.apply(IvyActions.scala:188)
    at sbt.IvyActions$$anonfun$updateEither$1.apply(IvyActions.scala:165)
    at sbt.IvySbt$Module$$anonfun$withModule$1.apply(Ivy.scala:155)
    at sbt.IvySbt$Module$$anonfun$withModule$1.apply(Ivy.scala:155)
    at sbt.IvySbt$$anonfun$withIvy$1.apply(Ivy.scala:132)
    at sbt.IvySbt.sbt$IvySbt$$action$1(Ivy.scala:57)
    at sbt.IvySbt$$anon$4.call(Ivy.scala:65)
    at xsbt.boot.Locks$GlobalLock.withChannel$1(Locks.scala:93)
    at xsbt.boot.Locks$GlobalLock.xsbt$boot$Locks$GlobalLock$$withChannelRetries$1(Locks.scala:78)
    at xsbt.boot.Locks$GlobalLock$$anonfun$withFileLock$1.apply(Locks.scala:97)
    at xsbt.boot.Using$.withResource(Using.scala:10)
    at xsbt.boot.Using$.apply(Using.scala:9)
    at xsbt.boot.Locks$GlobalLock.ignoringDeadlockAvoided(Locks.scala:58)
    at xsbt.boot.Locks$GlobalLock.withLock(Locks.scala:48)
    at xsbt.boot.Locks$.apply0(Locks.scala:31)
    at xsbt.boot.Locks$.apply(Locks.scala:28)
    at sbt.IvySbt.withDefaultLogger(Ivy.scala:65)
    at sbt.IvySbt.withIvy(Ivy.scala:127)
    at sbt.IvySbt.withIvy(Ivy.scala:124)
    at sbt.IvySbt$Module.withModule(Ivy.scala:155)
    at sbt.IvyActions$.updateEither(IvyActions.scala:165)
    at sbt.Classpaths$$anonfun$sbt$Classpaths$$work$1$1.apply(Defaults.scala:1369)
    at sbt.Classpaths$$anonfun$sbt$Classpaths$$work$1$1.apply(Defaults.scala:1365)
    at sbt.Classpaths$$anonfun$doWork$1$1$$anonfun$87.apply(Defaults.scala:1399)
    at sbt.Classpaths$$anonfun$doWork$1$1$$anonfun$87.apply(Defaults.scala:1397)
    at sbt.Tracked$$anonfun$lastOutput$1.apply(Tracked.scala:37)
    at sbt.Classpaths$$anonfun$doWork$1$1.apply(Defaults.scala:1402)
    at sbt.Classpaths$$anonfun$doWork$1$1.apply(Defaults.scala:1396)
    at sbt.Tracked$$anonfun$inputChanged$1.apply(Tracked.scala:60)
    at sbt.Classpaths$.cachedUpdate(Defaults.scala:1419)
    at sbt.Classpaths$$anonfun$updateTask$1.apply(Defaults.scala:1348)
    at sbt.Classpaths$$anonfun$updateTask$1.apply(Defaults.scala:1310)
    at scala.Function1$$anonfun$compose$1.apply(Function1.scala:47)
    at sbt.$tilde$greater$$anonfun$$u2219$1.apply(TypeFunctions.scala:40)
    at sbt.std.Transform$$anon$4.work(System.scala:63)
    at sbt.Execute$$anonfun$submit$1$$anonfun$apply$1.apply(Execute.scala:226)
    at sbt.Execute$$anonfun$submit$1$$anonfun$apply$1.apply(Execute.scala:226)
    at sbt.ErrorHandling$.wideConvert(ErrorHandling.scala:17)
    at sbt.Execute.work(Execute.scala:235)
    at sbt.Execute$$anonfun$submit$1.apply(Execute.scala:226)
    at sbt.Execute$$anonfun$submit$1.apply(Execute.scala:226)
    at sbt.ConcurrentRestrictions$$anon$4$$anonfun$1.apply(ConcurrentRestrictions.scala:159)
    at sbt.CompletionService$$anon$2.call(CompletionService.scala:28)
    at java.util.concurrent.FutureTask.run(FutureTask.java:266)
    at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
    at java.util.concurrent.FutureTask.run(FutureTask.java:266)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
    at java.lang.Thread.run(Thread.java:745)
[error] (*:update) sbt.ResolveException: unresolved dependency: oro#oro;2.0.8: configuration not found in oro#oro;2.0.8: 'master(compile)'. Missing configuration: 'compile'. It was required from org.apache.spark#spark-core_2.11;1.5.2 compile

我该如何解决此依赖性问题？

编辑

我遵循@ mark91的建议:

将scala版本更改为2.10.5

将spark依赖项更改为libraryDependencies += "org.apache.spark" % "spark-core_2.10" % "1.2.0-cdh5.3.2" % "provided"。

但是我仍然在org.scala-lang＃scala-library; 2.10.4中得到 Unresolved 依赖关系:

 [error] sbt.ResolveException: unresolved dependency: org.scala-lang#scala-library;2.10.4: configuration not found in org.scala-lang#scala-library;2.10.4: 'master(compile)'. Missing configuration: 'compile'. It was required from org.apache.spark#spark-core_2.10;1.2.0-cdh5.3.2 compile

您对我为什么会遇到这个问题有任何想法吗？

Answer 1

您的问题是Spark是用Scala 2.10编写的。因此，您应该使用Scala的2.10版本而不是2.11。

例子:

scalaVersion := "2.10.5"

libraryDependencies += "org.apache.spark" % "spark-core_2.10" % "1.2.0-cdh5.3.2" % "provided"


resolvers += "Cloudera Repository" at "https://repository.cloudera.com/artifactory/cloudera-repos/"