使用sbt编译spark项目时未解决的依赖问题

时间：2015-12-02 16:04:23

标签： scala apache-spark sbt

我正在尝试使用sbt 0.13.8编译一个非常简单的火花项目，其唯一的功能是

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))
  }
}

项目根目录中的 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返回的错误是：

[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

我该如何解决这种依赖性问题？

修改

我遵循了@ mark91的建议：

  • 将scala版本更改为2.10.5
  • 将火花依赖关系更改为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中得到一个未解析的依赖项; 2.10.4：

 [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

你知道我为什么会遇到这个问题吗？

3 个答案:

答案 0 :(得分：13)

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

示例：

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/"

答案 1 :(得分：5)

我遇到了类似的依赖问题，并通过重新加载插件和更新依赖项来解决它。我认为你的依赖问题是由于常春藤缓存。通常，如果自上次成功解析后没有依赖关系管理配置发生更改且检索到的文件仍然存在，则sbt不会要求Ivy执行解析。

尝试跑步：

sbt reload plugins
sbt update
sbt reload

如果这不起作用，请按照http://www.scala-sbt.org/0.13/docs/Dependency-Management-Flow.html

上的说明操作

答案 2 :(得分：0)

删除~/.ivy2文件夹对我有帮助。

相关问题
最新问题