我在一个 sbt 管理的 Spark 项目上工作,该项目具有 spark-cloudant
依赖项。密码是available on GitHub (on spark-cloudant-compile-issue
branch) .
我已将以下行添加到 build.sbt
:
"cloudant-labs" % "spark-cloudant" % "1.6.4-s_2.10" % "provided"
所以 build.sbt
看起来如下:
name := "Movie Rating"
version := "1.0"
scalaVersion := "2.10.5"
libraryDependencies ++= {
val sparkVersion = "1.6.0"
Seq(
"org.apache.spark" %% "spark-core" % sparkVersion % "provided",
"org.apache.spark" %% "spark-sql" % sparkVersion % "provided",
"org.apache.spark" %% "spark-streaming" % sparkVersion % "provided",
"org.apache.spark" %% "spark-streaming-kafka" % sparkVersion % "provided",
"org.apache.spark" %% "spark-mllib" % sparkVersion % "provided",
"org.apache.kafka" % "kafka-log4j-appender" % "0.9.0.0",
"org.apache.kafka" % "kafka-clients" % "0.9.0.0",
"org.apache.kafka" %% "kafka" % "0.9.0.0",
"cloudant-labs" % "spark-cloudant" % "1.6.4-s_2.10" % "provided"
)
}
assemblyMergeStrategy in assembly := {
case PathList("org", "apache", "spark", xs @ _*) => MergeStrategy.first
case PathList("scala", xs @ _*) => MergeStrategy.discard
case PathList("META-INF", "maven", "org.slf4j", xs @ _* ) => MergeStrategy.first
case x =>
val oldStrategy = (assemblyMergeStrategy in assembly).value
oldStrategy(x)
}
unmanagedBase <<= baseDirectory { base => base / "lib" }
assemblyOption in assembly := (assemblyOption in assembly).value.copy(includeScala = false)
当我执行 sbt assembly
时,出现以下错误:
java.lang.RuntimeException: Please add any Spark dependencies by
supplying the sparkVersion and sparkComponents. Please remove:
org.apache.spark:spark-core:1.6.0:provided
最佳答案
可能相关:https://github.com/databricks/spark-csv/issues/150
您可以尝试将 spIgnoreProvided := true
添加到您的 build.sbt
中吗?
(这可能不是答案,我本可以发表评论,但我没有足够的声誉)
关于scala - 为什么 Spark 项目中的 sbt 程序集失败并显示 "Please add any Spark dependencies by supplying the sparkVersion and sparkComponents"?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/40951106/