Question

我有一个包含多个子模块的sbt项目。我正在使用Spark并且最近尝试升级到Spark 2.0.0，这需要Scala 2.11而不是Scala 2.10。以下是我的sbt配置：

project/commons.scala：

import sbt._
import Keys._

object Commons {
  val appVersion = "0.0.2"

  val settings: Seq[Def.Setting[_]] = Seq(
    version := appVersion,
    scalaVersion := "2.11.8",
    resolvers += Opts.resolver.mavenLocalFile,
    resolvers += "conjars" at "http://conjars.org/repo",
    resolvers += "clojars" at "https://clojars.org/repo"
  )
}

project/dependencies.scala：

import sbt._
import Keys._

object Dependencies {
  val sparkVersion = "2.0.0"
  val awsVersion = "1.11.12"
  val sprayVersion = "1.3.2"
  val hiveVersion = "2.1.0"
  val hadoopVersion = "2.7.2"
  val esVersion = "2.3.2"

  val sparkCoreDependency: ModuleID = "org.apache.spark" %% "spark-core" % sparkVersion % "provided"
  val sparkMLDependency: ModuleID = "org.apache.spark" %% "spark-mllib" % sparkVersion % "provided"
  val awsDependency: ModuleID = "com.amazonaws" % "aws-java-sdk" % awsVersion
  val sprayJsonDependency: ModuleID = "io.spray" %% "spray-json" % sprayVersion
  val hiveExecDependency: ModuleID = "org.apache.hive" % "hive-exec" % hiveVersion % "provided"
  val hadoopCommonDependency: ModuleID = "org.apache.hadoop" % "hadoop-common" % hadoopVersion % "provided"
  val esHadoopDependency: ModuleID = "org.elasticsearch" % "elasticsearch-hadoop" % esVersion % "provided"
}

build.sbt：

import Dependencies._

lazy val utils = (project in file("utils")).
  settings(Commons.settings: _*).
  settings(
    name := "hadoop-utils",
    libraryDependencies ++= Seq(
      hiveExecDependency,
      sparkCoreDependency,
      awsDependency,
      hadoopCommonDependency,
      esHadoopDependency
    )
  )

lazy val ingestion = (project in file("ingestion")).
  settings(Commons.settings: _*).
  settings(
    name := "datascience-ingestion",
    libraryDependencies ++= Seq(
      sparkCoreDependency,
      awsDependency,
      sprayJsonDependency
    )
  ).
  dependsOn(utils)

lazy val hlda = (project in file("hlda")).
  settings(Commons.settings: _*).
  settings(
    name := "hlda",
    libraryDependencies ++= Seq(
      sparkCoreDependency,
      sparkMLDependency,
      awsDependency,
      sprayJsonDependency
    ),
    assemblyShadeRules in assembly := Seq(
      ShadeRule.rename("org.apache.http.**" -> "shadehttp.@1").inAll
    )
  )

当我尝试编译时，我得到：

$ sbt utils/compile
[info] Loading global plugins from ~/.sbt/0.13/plugins
[info] Loading project definition from /<snip>/project
[info] Compiling 2 Scala sources to /<snip>/project/target/scala-2.10/sbt-0.13/classes...
[info] Set current project to datascience-ingestion (in build file:/<snip>/)
[info] Updating {file:/<snip>/}utils...
[info] Resolving jline#jline;2.12.1 ...
[info] Done updating.
[error] Modules were resolved with conflicting cross-version suffixes in {file:/<snip>/}utils:
[error]    org.apache.spark:spark-launcher _2.11, _2.10
[error]    org.json4s:json4s-ast _2.11, _2.10
[error]    org.apache.spark:spark-network-shuffle _2.11, _2.10
[error]    com.twitter:chill _2.11, _2.10
[error]    org.json4s:json4s-jackson _2.11, _2.10
[error]    com.fasterxml.jackson.module:jackson-module-scala _2.11, _2.10
[error]    org.json4s:json4s-core _2.11, _2.10
[error]    org.apache.spark:spark-unsafe _2.11, _2.10
[error]    org.apache.spark:spark-core _2.11, _2.10
[error]    org.apache.spark:spark-network-common _2.11, _2.10
java.lang.RuntimeException: Conflicting cross-version suffixes in: org.apache.spark:spark-launcher, org.json4s:json4s-ast, org.apache.spark:spark-network-shuffle, com.twitter:chill, org.json4s:json4s-jackson, com.fasterxml.jackson.module:jackson-module-scala, org.json4s:json4s-core, org.apache.spark:spark-unsafe, org.apache.spark:spark-core, org.apache.spark:spark-network-common
    at scala.sys.package$.error(package.scala:27)
    at sbt.ConflictWarning$.processCrossVersioned(ConflictWarning.scala:46)
    at sbt.ConflictWarning$.apply(ConflictWarning.scala:32)
    at sbt.Classpaths$$anonfun$69.apply(Defaults.scala:1219)
    at sbt.Classpaths$$anonfun$69.apply(Defaults.scala:1216)
    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:228)
    at sbt.Execute$$anonfun$submit$1$$anonfun$apply$1.apply(Execute.scala:228)
    at sbt.ErrorHandling$.wideConvert(ErrorHandling.scala:17)
    at sbt.Execute.work(Execute.scala:237)
    at sbt.Execute$$anonfun$submit$1.apply(Execute.scala:228)
    at sbt.Execute$$anonfun$submit$1.apply(Execute.scala:228)
    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] (utils/*:update) Conflicting cross-version suffixes in: org.apache.spark:spark-launcher, org.json4s:json4s-ast, org.apache.spark:spark-network-shuffle, com.twitter:chill, org.json4s:json4s-jackson, com.fasterxml.jackson.module:jackson-module-scala, org.json4s:json4s-core, org.apache.spark:spark-unsafe, org.apache.spark:spark-core, org.apache.spark:spark-network-common
[error] Total time: 4 s, completed Aug 11, 2016 10:43:16 AM

我甚至尝试过“硬编码”版本后缀。例如：

val sparkCoreDependency: ModuleID = "org.apache.spark" % "spark-core_2.11" % sparkVersion % "provided"

但我得到了同样的错误。在改变spark和scala版本号之前，这一切都正常。

Answer 1

这是因为elasticsearch-hadoop 2.3.2依赖于spark-core_2.10和spark-sql_2.10。您可能必须使用Scala 2.10或fork elasticsearch-hadoop。

sbt使用elasticsearch-hadoop与Spark发生“冲突的跨版本后缀”错误

1 个答案: