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From Sachin Mittal <sjmit...@gmail.com>
Subject Re: Building standalone spark application via sbt
Date Wed, 20 Jul 2016 17:13:57 GMT
NoClassDefFound error was for spark classes like say SparkConext.
When running a standalone spark application I was not passing external jars
using --jars option.

However I have fixed this by making a fat jar using sbt assembly plugin.

Now all the dependencies are included in that jar and I use that jar in
spark-submit

Thanks
Sachin


On Wed, Jul 20, 2016 at 9:42 PM, Marco Mistroni <mmistroni@gmail.com> wrote:

> 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.talebzadeh@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
>>
>>
>>
>> LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>>
>>
>>
>> http://talebzadehmich.wordpress.com
>>
>>
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>>
>>
>>
>> On 20 July 2016 at 09:54, Sachin Mittal <sjmittal@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 <andrew@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 <sjmittal@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
>>>>
>>>>
>>>>
>>>>
>>>>
>>>
>>
>

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