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scala - 多项目 sbt 组装问题

问题描述

我正在尝试创建一个包含两个主要类的项目 - SparkConsumer 和 KafkaProducer。为此，我在 sbt 文件中引入了多项目结构。消费者和生产者模块用于单独的项目，核心项目包含生产者和消费者都使用的实用程序。根是主要项目。还介绍了通用设置和库依赖项。但是，由于某种原因，该项目无法编译。所有与 sbt 组装相关的设置都标记为红色。但是，定义了 sbt-assembly 插件的 plugins.sbt 位于根项目中。

这种问题的解决方案可能是什么？

项目结构如下所示：

在此处输入图像描述

这是 build.sbt 文件：

lazy val overrides = Seq("com.fasterxml.jackson.core" % "jackson-core" % "2.9.5",
  "com.fasterxml.jackson.core" % "jackson-databind" % "2.9.5",
  "com.fasterxml.jackson.module" % "jackson-module-scala_2.11" % "2.9.5")

lazy val commonSettings = Seq(
  name := "Demo",
  version := "0.1",
  scalaVersion := "2.11.8",
  resolvers += "Spark Packages Repo" at "http://dl.bintray.com/spark-packages/maven",
  dependencyOverrides += overrides
)

lazy val assemblySettings = Seq(
  assemblyMergeStrategy in assembly := {
    case PathList("org","aopalliance", xs @ _*) => MergeStrategy.last
    case PathList("javax", "inject", xs @ _*) => MergeStrategy.last
    case PathList("javax", "servlet", xs @ _*) => MergeStrategy.last
    case PathList("javax", "activation", xs @ _*) => MergeStrategy.last
    case PathList("org", "apache", xs @ _*) => MergeStrategy.last
    case PathList("com", "google", xs @ _*) => MergeStrategy.last
    case PathList("com", "esotericsoftware", xs @ _*) => MergeStrategy.last
    case PathList("com", "codahale", xs @ _*) => MergeStrategy.last
    case PathList("com", "yammer", xs @ _*) => MergeStrategy.last
    case PathList("org", "slf4j", xs @ _*) => MergeStrategy.last
    case PathList("org", "neo4j", xs @ _*) => MergeStrategy.last
    case PathList("com", "typesafe", xs @ _*) => MergeStrategy.last
    case PathList("net", "jpountz", xs @ _*) => MergeStrategy.last
    case PathList("META-INF", xs @ _*) => MergeStrategy.discard
    case "about.html" => MergeStrategy.rename
    case "META-INF/ECLIPSEF.RSA" => MergeStrategy.last
    case "META-INF/mailcap" => MergeStrategy.last
    case "META-INF/mimetypes.default" => MergeStrategy.last
    case "plugin.properties" => MergeStrategy.last
    case "log4j.properties" => MergeStrategy.last
    case x =>
      val oldStrategy = (assemblyMergeStrategy in assembly).value
      oldStrategy(x)
  }
)

val sparkVersion = "2.2.0"

lazy val commonDependencies = Seq(
  "org.apache.kafka" %% "kafka" % "1.1.0",
  "org.apache.spark" %% "spark-core" % sparkVersion % "provided",
  "org.apache.spark" %% "spark-sql" % sparkVersion,
  "org.apache.spark" %% "spark-streaming" % sparkVersion,
  "org.apache.spark" %% "spark-streaming-kafka-0-10" % sparkVersion,
  "neo4j-contrib" % "neo4j-spark-connector" % "2.1.0-M4",
  "com.typesafe" % "config" % "1.3.0",
  "org.neo4j.driver" % "neo4j-java-driver" % "1.5.1",
  "com.opencsv" % "opencsv" % "4.1",
  "com.databricks" %% "spark-csv" % "1.5.0",
  "com.github.tototoshi" %% "scala-csv" % "1.3.5",
  "org.elasticsearch" %% "elasticsearch-spark-20" % "6.2.4"
)

lazy val root = (project in file("."))
  .settings(
    commonSettings,
    assemblySettings,
    libraryDependencies ++= commonDependencies,
    assemblyJarName in assembly := "demo_root.jar"
  )
  .aggregate(core, consumer, producer)


lazy val core = project
  .settings(
    commonSettings,
    assemblySettings,
    libraryDependencies ++= commonDependencies
  )

lazy val consumer = project
  .settings(
    commonSettings,
    assemblySettings,
    libraryDependencies ++= commonDependencies,
    mainClass in assembly := Some("consumer.SparkConsumer"),
    assemblyJarName in assembly := "demo_consumer.jar"
  )
  .dependsOn(core)

lazy val producer = project
  .settings(
    commonSettings,
    assemblySettings,
    libraryDependencies ++= commonDependencies,
    mainClass in assembly := Some("producer.KafkaCheckinsProducer"),
    assemblyJarName in assembly := "demo_producer.jar"
  )
  .dependsOn(core)

更新：堆栈跟踪

(producer / update) java.lang.IllegalArgumentException: a module is not authorized to depend on itself: demo#demo_2.11;0.1
[error] (consumer / update) java.lang.IllegalArgumentException: a module is not authorized to depend on itself: demo#demo_2.11;0.1
[error] (core / Compile / compileIncremental) Compilation failed
[error] (update) sbt.librarymanagement.ResolveException: unresolved dependency: org.apache.spark#spark-sql_2.12;2.2.0: not found
[error] unresolved dependency: org.apache.spark#spark-streaming_2.12;2.2.0: not found
[error] unresolved dependency: org.apache.spark#spark-streaming-kafka-0-10_2.12;2.2.0: not found
[error] unresolved dependency: com.databricks#spark-csv_2.12;1.5.0: not found
[error] unresolved dependency: org.elasticsearch#elasticsearch-spark-20_2.12;6.2.4: not found
[error] unresolved dependency: org.apache.spark#spark-core_2.12;2.2.0: not found

标签： scalaapache-sparksbtsbt-assembly

解决方案

未解决的依赖关系：org.apache.spark#spark-sql_2.12;2.2.0

Spark 2.2.0 需要 Scala 2.11，请参阅https://spark.apache.org/docs/2.2.0/ 出于某种原因，您的 commonSettings 中的 scalaVersion 不适用。您可能需要设置全局 scalaVersion 来解决它。

Spark 在 Java 8+、Python 2.7+/3.4+ 和 R 3.1+ 上运行。对于 Scala API，Spark 2.2.0 使用 Scala 2.11。您将需要使用兼容的 Scala 版本 (2.11.x)。

spark-sql 和 spark-streaming 也应标记为“已提供”

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