Adding to advices given by others ... Spark 2.1.0 works with Scala 2.11, so set:
scalaVersion := "2.11.8"
When you see something like:
"org.apache.spark" % "spark-core_2.10" % "1.5.2"
that means that library `spark-core` is compiled against Scala 2.10,
so you would have to change that to 2.11:
"org.apache.spark" % "spark-core_2.11" % "2.1.0"
better yet, let SBT worry about libraries built against particular
Scala versions:
"org.apache.spark" %% "spark-core" % "2.1.0"
The `%%` will instruct SBT to choose the library appropriate for a
version of Scala that is set in `scalaVersion`.
It may be worth mentioning that the `%%` thing works only with Scala
libraries as they are compiled against a certain Scala version. Java
libraries are unaffected (have nothing to do with Scala), e.g. for
`slf4j` one only uses single `%`s:
"org.slf4j" % "slf4j-api" % "1.7.2"
Cheers,
Dinko
On 27 March 2017 at 23:30, Mich Talebzadeh <mich.talebza...@gmail.com> wrote:
> check these versions
>
> function create_build_sbt_file {
> BUILD_SBT_FILE=${GEN_APPSDIR}/scala/${APPLICATION}/build.sbt
> [ -f ${BUILD_SBT_FILE} ] && rm -f ${BUILD_SBT_FILE}
> cat >> $BUILD_SBT_FILE << !
> lazy val root = (project in file(".")).
> settings(
> name := "${APPLICATION}",
> version := "1.0",
> scalaVersion := "2.11.8",
> mainClass in Compile := Some("myPackage.${APPLICATION}")
> )
> libraryDependencies += "org.apache.spark" %% "spark-core" % "2.0.0" %
> "provided"
> libraryDependencies += "org.apache.spark" %% "spark-sql" % "2.0.0" %
> "provided"
> libraryDependencies += "org.apache.spark" %% "spark-hive" % "2.0.0" %
> "provided"
> libraryDependencies += "org.apache.spark" %% "spark-streaming" % "2.0.0" %
> "provided"
> libraryDependencies += "org.apache.spark" %% "spark-streaming-kafka" %
> "1.6.1" % "provided"
> libraryDependencies += "com.google.code.gson" % "gson" % "2.6.2"
> libraryDependencies += "org.apache.phoenix" % "phoenix-spark" %
> "4.6.0-HBase-1.0"
> libraryDependencies += "org.apache.hbase" % "hbase" % "1.2.3"
> libraryDependencies += "org.apache.hbase" % "hbase-client" % "1.2.3"
> libraryDependencies += "org.apache.hbase" % "hbase-common" % "1.2.3"
> libraryDependencies += "org.apache.hbase" % "hbase-server" % "1.2.3"
> // META-INF discarding
> mergeStrategy in assembly <<= (mergeStrategy in assembly) { (old) =>
> {
> case PathList("META-INF", xs @ _*) => MergeStrategy.discard
> case x => MergeStrategy.first
> }
> }
> !
> }
>
> HTH
>
> Dr Mich Talebzadeh
>
>
>
> LinkedIn
> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>
>
>
> http://talebzadehmich.wordpress.com
>
>
> Disclaimer: Use it at your own risk. Any and all responsibility for any
> loss, damage or destruction of data or any other property which may arise
> from relying on this email's technical content is explicitly disclaimed. The
> author will in no case be liable for any monetary damages arising from such
> loss, damage or destruction.
>
>
>
>
> On 27 March 2017 at 21:45, Jörn Franke <jornfra...@gmail.com> wrote:
>>
>> Usually you define the dependencies to the Spark library as provided. You
>> also seem to mix different Spark versions which should be avoided.
>> The Hadoop library seems to be outdated and should also only be provided.
>>
>> The other dependencies you could assemble in a fat jar.
>>
>> On 27 Mar 2017, at 21:25, Anahita Talebi <anahita.t.am...@gmail.com>
>> wrote:
>>
>> Hi friends,
>>
>> I have a code which is written in Scala. The scala version 2.10.4 and
>> Spark version 1.5.2 are used to run the code.
>>
>> I would like to upgrade the code to the most updated version of spark,
>> meaning 2.1.0.
>>
>> Here is the build.sbt:
>>
>> import AssemblyKeys._
>>
>> assemblySettings
>>
>> name := "proxcocoa"
>>
>> version := "0.1"
>>
>> scalaVersion := "2.10.4"
>>
>> parallelExecution in Test := false
>>
>> {
>> val excludeHadoop = ExclusionRule(organization = "org.apache.hadoop")
>> libraryDependencies ++= Seq(
>> "org.slf4j" % "slf4j-api" % "1.7.2",
>> "org.slf4j" % "slf4j-log4j12" % "1.7.2",
>> "org.scalatest" %% "scalatest" % "1.9.1" % "test",
>> "org.apache.spark" % "spark-core_2.10" % "1.5.2"
>> excludeAll(excludeHadoop),
>> "org.apache.spark" % "spark-mllib_2.10" % "1.5.2"
>> excludeAll(excludeHadoop),
>> "org.apache.spark" % "spark-sql_2.10" % "1.5.2"
>> excludeAll(excludeHadoop),
>> "org.apache.commons" % "commons-compress" % "1.7",
>> "commons-io" % "commons-io" % "2.4",
>> "org.scalanlp" % "breeze_2.10" % "0.11.2",
>> "com.github.fommil.netlib" % "all" % "1.1.2" pomOnly(),
>> "com.github.scopt" %% "scopt" % "3.3.0"
>> )
>> }
>>
>> {
>> val defaultHadoopVersion = "1.0.4"
>> val hadoopVersion =
>> scala.util.Properties.envOrElse("SPARK_HADOOP_VERSION",
>> defaultHadoopVersion)
>> libraryDependencies += "org.apache.hadoop" % "hadoop-client" %
>> hadoopVersion
>> }
>>
>> libraryDependencies += "org.apache.spark" % "spark-streaming_2.10" %
>> "1.5.0"
>>
>> resolvers ++= Seq(
>> "Local Maven Repository" at Path.userHome.asFile.toURI.toURL +
>> ".m2/repository",
>> "Typesafe" at "http://repo.typesafe.com/typesafe/releases";,
>> "Spray" at "http://repo.spray.cc";
>> )
>>
>> mergeStrategy in assembly <<= (mergeStrategy in assembly) { (old) =>
>> {
>> case PathList("javax", "servlet", xs @ _*) =>
>> MergeStrategy.first
>> case PathList(ps @ _*) if ps.last endsWith ".html" =>
>> MergeStrategy.first
>> case "application.conf" =>
>> MergeStrategy.concat
>> case "reference.conf" =>
>> MergeStrategy.concat
>> case "log4j.properties" =>
>> MergeStrategy.discard
>> case m if m.toLowerCase.endsWith("manifest.mf") =>
>> MergeStrategy.discard
>> case m if m.toLowerCase.matches("meta-inf.*\\.sf$") =>
>> MergeStrategy.discard
>> case _ => MergeStrategy.first
>> }
>> }
>>
>> test in assembly := {}
>>
>> -----------------------------------------------------------
>> I downloaded the spark 2.1.0 and change the version of spark and
>> scalaversion in the build.sbt. But unfortunately, I was failed to run the
>> code.
>>
>> Does anybody know how I can upgrade the code to the most recent spark
>> version by changing the build.sbt file?
>>
>> Or do you have any other suggestion?
>>
>> Thanks a lot,
>> Anahita
>>
>
---------------------------------------------------------------------
To unsubscribe e-mail: user-unsubscr...@spark.apache.org
