Hi,
Thanks everybody to help me to solve my problem :)
As Zhu said, I had to use mapPartitionsWithIndex in my code.
Thanks,
Have a nice day,
Anahita
On Wed, Mar 29, 2017 at 2:51 AM, Shixiong(Ryan) Zhu <shixi...@databricks.com
> wrote:
> mapPartitionsWithSplit was removed in Spark 2.0.0. You can
> use mapPartitionsWithIndex instead.
>
> On Tue, Mar 28, 2017 at 3:52 PM, Anahita Talebi <anahita.t.am...@gmail.com
> > wrote:
>
>> Thanks.
>> I tried this one, as well. Unfortunately I still get the same error.
>>
>>
>> On Wednesday, March 29, 2017, Marco Mistroni <mmistr...@gmail.com> wrote:
>>
>>> 1.7.5
>>>
>>> On 28 Mar 2017 10:10 pm, "Anahita Talebi" <anahita.t.am...@gmail.com>
>>> wrote:
>>>
>>>> Hi,
>>>>
>>>> Thanks for your answer.
>>>> What is the version of "org.slf4j" % "slf4j-api" in your sbt file?
>>>> I think the problem might come from this part.
>>>>
>>>> On Tue, Mar 28, 2017 at 11:02 PM, Marco Mistroni <mmistr...@gmail.com>
>>>> wrote:
>>>>
>>>>> Hello
>>>>> uhm ihave a project whose build,sbt is closest to yours, where i am
>>>>> using spark 2.1, scala 2.11 and scalatest (i upgraded to 3.0.0) and it
>>>>> works fine
>>>>> in my projects though i don thave any of the following libraries that
>>>>> you mention
>>>>> - breeze
>>>>> - netlib,all
>>>>> - scoopt
>>>>>
>>>>> hth
>>>>>
>>>>> On Tue, Mar 28, 2017 at 9:10 PM, Anahita Talebi <
>>>>> anahita.t.am...@gmail.com> wrote:
>>>>>
>>>>>> Hi,
>>>>>>
>>>>>> Thanks for your answer.
>>>>>>
>>>>>> I first changed the scala version to 2.11.8 and kept the spark
>>>>>> version 1.5.2 (old version). Then I changed the scalatest version into
>>>>>> "3.0.1". With this configuration, I could run the code and compile it and
>>>>>> generate the .jar file.
>>>>>>
>>>>>> When I changed the spark version into 2.1.0, I get the same error as
>>>>>> before. So I imagine the problem should be somehow related to the version
>>>>>> of spark.
>>>>>>
>>>>>> Cheers,
>>>>>> Anahita
>>>>>>
>>>>>> ------------------------------------------------------------
>>>>>> ------------------------------------------------------------
>>>>>> --------------------------------
>>>>>> import AssemblyKeys._
>>>>>>
>>>>>> assemblySettings
>>>>>>
>>>>>> name := "proxcocoa"
>>>>>>
>>>>>> version := "0.1"
>>>>>>
>>>>>> organization := "edu.berkeley.cs.amplab"
>>>>>>
>>>>>> scalaVersion := "2.11.8"
>>>>>>
>>>>>> 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" % "3.0.1" % "test",
>>>>>> "org.apache.spark" %% "spark-core" % "2.1.0"
>>>>>> excludeAll(excludeHadoop),
>>>>>> "org.apache.spark" %% "spark-mllib" % "2.1.0"
>>>>>> excludeAll(excludeHadoop),
>>>>>> "org.apache.spark" %% "spark-sql" % "2.1.0"
>>>>>> excludeAll(excludeHadoop),
>>>>>> "org.apache.commons" % "commons-compress" % "1.7",
>>>>>> "commons-io" % "commons-io" % "2.4",
>>>>>> "org.scalanlp" % "breeze_2.11" % "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" %
>>>>>> "2.1.0"
>>>>>>
>>>>>> 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 := {}
>>>>>> ------------------------------------------------------------
>>>>>> ------------------------------------------------------------
>>>>>> --------------------------------
>>>>>>
>>>>>> On Tue, Mar 28, 2017 at 9:33 PM, Marco Mistroni <mmistr...@gmail.com>
>>>>>> wrote:
>>>>>>
>>>>>>> Hello
>>>>>>> that looks to me like there's something dodgy withyour Scala
>>>>>>> installation
>>>>>>> Though Spark 2.0 is built on Scala 2.11, it still support 2.10... i
>>>>>>> suggest you change one thing at a time in your sbt
>>>>>>> First Spark version. run it and see if it works
>>>>>>> Then amend the scala version
>>>>>>>
>>>>>>> hth
>>>>>>> marco
>>>>>>>
>>>>>>> On Tue, Mar 28, 2017 at 5:20 PM, Anahita Talebi <
>>>>>>> anahita.t.am...@gmail.com> wrote:
>>>>>>>
>>>>>>>> Hello,
>>>>>>>>
>>>>>>>> Thanks you all for your informative answers.
>>>>>>>> I actually changed the scala version to the 2.11.8 and spark
>>>>>>>> version into 2.1.0 in the build.sbt
>>>>>>>>
>>>>>>>> Except for these two guys (scala and spark version), I kept the
>>>>>>>> same values for the rest in the build.sbt file.
>>>>>>>> ------------------------------------------------------------
>>>>>>>> ---------------
>>>>>>>> import AssemblyKeys._
>>>>>>>>
>>>>>>>> assemblySettings
>>>>>>>>
>>>>>>>> name := "proxcocoa"
>>>>>>>>
>>>>>>>> version := "0.1"
>>>>>>>>
>>>>>>>> scalaVersion := "2.11.8"
>>>>>>>>
>>>>>>>> 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_2.11" % "2.1.0"
>>>>>>>> excludeAll(excludeHadoop),
>>>>>>>> "org.apache.spark" % "spark-mllib_2.11" % "2.1.0"
>>>>>>>> excludeAll(excludeHadoop),
>>>>>>>> "org.apache.spark" % "spark-sql_2.11" % "2.1.0"
>>>>>>>> excludeAll(excludeHadoop),
>>>>>>>> "org.apache.commons" % "commons-compress" % "1.7",
>>>>>>>> "commons-io" % "commons-io" % "2.4",
>>>>>>>> "org.scalanlp" % "breeze_2.11" % "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_2.11"
>>>>>>>> % "2.1.0"
>>>>>>>>
>>>>>>>> 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 := {}
>>>>>>>> ----------------------------------------------------------------
>>>>>>>>
>>>>>>>> When I compile the code, I get the following error:
>>>>>>>>
>>>>>>>> [info] Compiling 4 Scala sources to /Users/atalebi/Desktop/new_ver
>>>>>>>> sion_proxcocoa-master/target/scala-2.11/classes...
>>>>>>>> [error] /Users/atalebi/Desktop/new_ver
>>>>>>>> sion_proxcocoa-master/src/main/scala/utils/OptUtils.scala:40:
>>>>>>>> value mapPartitionsWithSplit is not a member of
>>>>>>>> org.apache.spark.rdd.RDD[String]
>>>>>>>> [error] val sizes = data.mapPartitionsWithSplit{ case(i,lines)
>>>>>>>> =>
>>>>>>>> [error] ^
>>>>>>>> [error] /Users/atalebi/Desktop/new_ver
>>>>>>>> sion_proxcocoa-master/src/main/scala/utils/OptUtils.scala:41:
>>>>>>>> value length is not a member of Any
>>>>>>>> [error] Iterator(i -> lines.length)
>>>>>>>> [error] ^
>>>>>>>> ----------------------------------------------------------------
>>>>>>>> It gets the error in the code. Does it mean that for the different
>>>>>>>> version of the spark and scala, I need to change the main code?
>>>>>>>>
>>>>>>>> Thanks,
>>>>>>>> Anahita
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>> On Tue, Mar 28, 2017 at 10:28 AM, Dinko Srkoč <
>>>>>>>> dinko.sr...@gmail.com> wrote:
>>>>>>>>
>>>>>>>>> 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=AAEAAAAWh2gBxianrbJ
>>>>>>>>> d6zP6AcPCCdOABUrV8Pw
>>>>>>>>> >
>>>>>>>>> >
>>>>>>>>> >
>>>>>>>>> > 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
>>>>>>>>> >>
>>>>>>>>> >
>>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>
>>>>>>
>>>>>
>>>>
>
