Hello Sachin
pls paste the NoClassDefFound Exception so we can see what's failing,
aslo please advise how are you running your Spark App
For an extremely simple case, let's assume you have your MyFirstSparkApp
packaged in your myFirstSparkApp.jar
Then all you need to do would be to kick off
spark-submit --class MyFirstSparkApp myFirstSparkApp.jar
if you have any external dependencies (not spark , let's assume you are
using common-utils.jar) then you should be able to kick it off via
spark-submit --class MyFirstSparkApp --jars common-utiils.jar
myFirstSparkApp.jar
I paste below the build.sbt i am using for my SparkExamples apps, hope this
helps.
kr
marco
name := "SparkExamples"
version := "1.0"
scalaVersion := "2.10.5"
// Add a single dependency
libraryDependencies += "junit" % "junit" % "4.8" % "test"
libraryDependencies += "org.mockito" % "mockito-core" % "1.9.5"
libraryDependencies ++= Seq("org.slf4j" % "slf4j-api" % "1.7.5",
"org.slf4j" % "slf4j-simple" % "1.7.5",
"org.clapper" %% "grizzled-slf4j" % "1.0.2")
libraryDependencies += "org.powermock" % "powermock-mockito-release-full" %
"1.5.4" % "test"
libraryDependencies += "org.apache.spark" %% "spark-core" % "1.6.1" %
"provided"
libraryDependencies += "org.apache.spark" %% "spark-streaming" % "1.6.1"
% "provided"
libraryDependencies += "org.apache.spark" %% "spark-mllib" % "1.6.1" %
"provided"
libraryDependencies += "org.apache.spark" %% "spark-streaming-flume" %
"1.3.0" % "provided"
resolvers += "softprops-maven" at "
http://dl.bintray.com/content/softprops/maven";
On Wed, Jul 20, 2016 at 3:39 PM, Mich Talebzadeh <mich.talebza...@gmail.com>
wrote:
> you need an uber jar file.
>
> Have you actually followed the dependencies and project sub-directory
> build?
>
> check this.
>
>
> http://stackoverflow.com/questions/28459333/how-to-build-an-uber-jar-fat-jar-using-sbt-within-intellij-idea
>
> under three answers the top one.
>
> I started reading the official SBT tutorial
> <http://www.scala-sbt.org/0.13/tutorial/>. .....
>
> HTH
>
> Dr Mich Talebzadeh
>
>
>
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> On 20 July 2016 at 09:54, Sachin Mittal <sjmit...@gmail.com> wrote:
>
>> Hi,
>> I am following the example under
>> https://spark.apache.org/docs/latest/quick-start.html
>> For standalone scala application.
>>
>> I added all my dependencies via build.sbt (one dependency is under lib
>> folder).
>>
>> When I run sbt package I see the jar created under
>> target/scala-2.10/
>>
>> So compile seems to be working fine. However when I inspect that jar, it
>> only contains my scala class.
>> Unlike in java application we build a standalone jar, which contains all
>> the dependencies inside that jar, here all the dependencies are missing.
>>
>> So as expected when I run the application via spark-submit I get the
>> NoClassDefFoundError.
>>
>> Here is my build.sbt
>>
>> name := "Test Advice Project"
>> version := "1.0"
>> scalaVersion := "2.10.6"
>> libraryDependencies ++= Seq(
>> "org.apache.spark" %% "spark-core" % "1.6.1",
>> "org.apache.spark" %% "spark-sql" % "1.6.1"
>> )
>>
>> Can anyone please guide me to as what is going wrong and why sbt package
>> is not including all the dependencies jar classes in the new jar.
>>
>> Thanks
>> Sachin
>>
>>
>> On Tue, Jul 19, 2016 at 8:23 PM, Andrew Ehrlich <and...@aehrlich.com>
>> wrote:
>>
>>> Yes, spark-core will depend on Hadoop and several other jars. Here’s
>>> the list of dependencies:
>>> https://github.com/apache/spark/blob/master/core/pom.xml#L35
>>>
>>> Whether you need spark-sql depends on whether you will use the DataFrame
>>> API. Without spark-sql, you will just have the RDD API.
>>>
>>> On Jul 19, 2016, at 7:09 AM, Sachin Mittal <sjmit...@gmail.com> wrote:
>>>
>>>
>>> Hi,
>>> Can someone please guide me what all jars I need to place in my lib
>>> folder of the project to build a standalone scala application via sbt.
>>>
>>> Note I need to provide static dependencies and I cannot download the
>>> jars using libraryDependencies.
>>> So I need to provide all the jars upfront.
>>>
>>> So far I found that we need:
>>> spark-core_<version>.jar
>>>
>>> Do we also need
>>> spark-sql_<version>.jar
>>> and
>>> hadoop-core-<version>.jar
>>>
>>> Is there any jar from spark side I may be missing? What I found that
>>> spark-core needs hadoop-core classes and if I don't add them then sbt was
>>> giving me this error:
>>> [error] bad symbolic reference. A signature in SparkContext.class refers
>>> to term hadoop
>>> [error] in package org.apache which is not available.
>>>
>>> So I was just confused on library dependency part when building an
>>> application via sbt. Any inputs here would be helpful.
>>>
>>> Thanks
>>> Sachin
>>>
>>>
>>>
>>>
>>>
>>
>
