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I'm trying to build a Scala/Spark project in IntelliJ Idea with the following build.sbt:

name := "try"

version := "1.0"

scalaVersion := "2.11.8"

val sparkVersion = "2.2.0"

resolvers ++= Seq(
  "apache-snapshots" at ""

libraryDependencies ++= Seq(
  "org.apache.spark" %% "spark-core" % sparkVersion,
  "org.apache.spark" %% "spark-sql" % sparkVersion,
  "org.apache.spark" %% "spark-mllib" % sparkVersion,
  "org.apache.spark" %% "spark-streaming" % sparkVersion,
  "org.apache.spark" %% "spark-hive" % sparkVersion

and getting a bunch of warnings:

1:29 PM SBT project import
                [warn] Found version conflict(s) in library dependencies; some are suspected to be binary incompatible:
                [warn]  * io.netty:netty:3.9.9.Final is selected over {3.6.2.Final, 3.7.0.Final}
                [warn]      +- org.apache.spark:spark-core_2.11:2.2.0             (depends on 3.9.9.Final)
                [warn]      +- org.apache.zookeeper:zookeeper:3.4.6               (depends on 3.6.2.Final)
                [warn]      +- org.apache.hadoop:hadoop-hdfs:2.6.5                (depends on 3.6.2.Final)
                [warn]  * commons-net:commons-net:2.2 is selected over 3.1
                [warn]      +- org.apache.spark:spark-core_2.11:2.2.0             (depends on 2.2)
                [warn]      +- org.apache.hadoop:hadoop-common:2.6.5              (depends on 3.1)
                [warn]  * is selected over {12.0.1, 16.0.1}
                [warn]      +- org.apache.hadoop:hadoop-yarn-client:2.6.5         (depends on 11.0.2)
                [warn]      +- org.apache.hadoop:hadoop-yarn-api:2.6.5            (depends on 11.0.2)
                [warn]      +- org.apache.hadoop:hadoop-yarn-common:2.6.5 

I have several, perhaps dumb, questions:

Is there a better way to structure build.sbt (add other resolvers e.g.?), so that I can get rid off the warnings?
Should I care about warnings at all?

1 Answer

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by (32.3k points)

One way to get rid off the warnings is to manually tell sbt what dependencies you prefer, for your case:

dependencyOverrides ++= Set(

  "io.netty" % "netty" % "3.9.9.Final",

  "commons-net" % "commons-net" % "2.2",

  "" % "guava" % "11.0.2"


You can also read about conflict management in sbt.

Should I care about warnings at all?

In your case I would say no, since your conflicts stem from using only spark-related artifacts released under same version. Spark is a project with big userbase and possibility of jar hell introduced due to transitive dependencies is rather low (although, technically not guaranteed).

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