Unable to run a Spark Scala JAR on GCP Dataproc - scala

Question

I have created a simple Spark application in Scala which is running fine locally. I have used Maven as a build tool and am packaging the JAR file using shade plugin. The directory structure looks like this:
I am using the following pom.xml :
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>cl.aman.fund</groupId>
<artifactId>sym_data_decryptor</artifactId>
<version>0.0.1-SNAPSHOT</version>
<packaging>jar</packaging>
<properties>
<maven.compiler.source>1.8</maven.compiler.source>
<maven.compiler.target>1.8</maven.compiler.target>
<encoding>UTF-8</encoding>
<scala.version>2.11.12</scala.version>
</properties>
<build>
<sourceDirectory>src/main/scala</sourceDirectory>
<testSourceDirectory>src/test/scala</testSourceDirectory>
<resources>
<resource>
<directory>/src/resources/</directory>
<filtering>false</filtering>
<includes>
<include>hbase-site.xml</include>
</includes>
</resource>
</resources>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-surefire-plugin</artifactId>
<version>2.7</version>
<configuration>
<skipTests>true</skipTests>
</configuration>
</plugin>
<plugin>
<!-- see http://davidb.github.com/scala-maven-plugin -->
<groupId>net.alchim31.maven</groupId>
<artifactId>scala-maven-plugin</artifactId>
<version>4.3.0</version>
<executions>
<execution>
<goals>
<goal>compile</goal>
<goal>testCompile</goal>
</goals>
<configuration>
<args>
<!-- <arg>-make:transitive</arg> -->
<arg>-dependencyfile</arg>
<arg>${project.build.directory}/.scala_dependencies</arg>
</args>
</configuration>
</execution>
</executions>
</plugin>
<plugin>
<artifactId>maven-assembly-plugin</artifactId>
<version>2.4.1</version>
<configuration>
<descriptorRefs>
<descriptorRef>jar-with-dependencies</descriptorRef>
</descriptorRefs>
</configuration>
<executions>
<execution>
<id>make-assembly</id>
<phase>package</phase>
<goals>
<goal>single</goal>
</goals>
</execution>
</executions>
</plugin>
<plugin>
<groupId>org.scalatest</groupId>
<artifactId>scalatest-maven-plugin</artifactId>
<version>1.0</version>
<configuration>
<reportsDirectory>${project.build.directory}/surefire-reports</reportsDirectory>
<junitxml>.</junitxml>
<filereports>WDF TestSuite.txt</filereports>
</configuration>
<executions>
<execution>
<id>test</id>
<goals>
<goal>test</goal>
</goals>
</execution>
</executions>
</plugin>
<plugin>
<groupId>org.jacoco</groupId>
<artifactId>jacoco-maven-plugin</artifactId>
<version>0.8.5</version>
<executions>
<execution>
<goals>
<goal>prepare-agent</goal>
</goals>
</execution>
<execution>
<id>report</id>
<phase>test</phase>
<goals>
<goal>report</goal>
</goals>
</execution>
</executions>
</plugin>
<plugin>
<artifactId>maven-shade-plugin</artifactId>
<version>3.2.1</version>
<executions>
<execution>
<phase>package</phase>
<goals>
<goal>shade</goal>
</goals>
<configuration>
<transformers>
<transformer
implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer"/>
</transformers>
<filters>
<filter>
<artifact>*:*</artifact>
<excludes>
<exclude>META-INF/*.SF</exclude>
<exclude>META-INF/*.DSA</exclude>
<exclude>META-INF/*.RSA</exclude>
</excludes>
</filter>
</filters>
<shadedArtifactAttached>true</shadedArtifactAttached>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
<dependencies>
<!-- Scala and Spark dependencies -->
<dependency>
<groupId>org.scala-lang</groupId>
<artifactId>scala-library</artifactId>
<version>${scala.version}</version>
</dependency>
<dependency>
<groupId>com.typesafe.scala-logging</groupId>
<artifactId>scala-logging_2.11</artifactId>
<version>3.9.2</version>
</dependency>
<!-- Spark avro -->
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-avro_2.11</artifactId>
<version>2.4.4</version>
</dependency>
<dependency>
<groupId>com.google.cloud.bigdataoss</groupId>
<artifactId>gcs-connector</artifactId>
<version>hadoop2-1.9.17</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.11</artifactId>
<version>2.4.4</version>
</dependency>
<dependency>
<groupId>com.google.cloud.bigdataoss</groupId>
<artifactId>bigquery-connector</artifactId>
<version>hadoop2-0.13.9</version>
</dependency>
<dependency>
<groupId>org.springframework.security</groupId>
<artifactId>spring-security-core</artifactId>
<version>5.2.1.RELEASE</version>
</dependency>
<dependency>
<groupId>org.scala-lang</groupId>
<artifactId>scala-xml</artifactId>
<version>2.11.0-M4</version>
</dependency>
<dependency>
<groupId>org.scalactic</groupId>
<artifactId>scalactic_2.11</artifactId>
<version>3.1.0</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.scalamock</groupId>
<artifactId>scalamock-scalatest-support_2.11</artifactId>
<version>3.6.0</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.json4s</groupId>
<artifactId>json4s-native_2.11</artifactId>
<version>3.6.6</version>
</dependency>
<dependency>
<groupId>org.scalatest</groupId>
<artifactId>scalatest_2.11</artifactId>
<version>3.1.0</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.11</artifactId>
<version>2.4.4</version>
<type>test-jar</type>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.11</artifactId>
<version>2.4.4</version>
<type>test-jar</type>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.apache.logging.log4j</groupId>
<artifactId>log4j-core</artifactId>
<version>2.13.1</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-catalyst_2.11</artifactId>
<version>2.4.4</version>
<type>test-jar</type>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.apache.logging.log4j</groupId>
<artifactId>log4j-api-scala_2.12</artifactId>
<version>11.0</version>
</dependency>
<dependency>
<groupId>com.typesafe</groupId>
<artifactId>config</artifactId>
<version>1.2.0</version>
</dependency>
<dependency>
<groupId>org.scalacheck</groupId>
<artifactId>scalacheck_2.11</artifactId>
<version>1.14.2</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-avro_2.11</artifactId>
<version>2.4.4</version>
<type>test-jar</type>
<scope>test</scope>
</dependency>
</dependencies>
</project>
Command used to submit job on Dataproc cluster:
gcloud dataproc jobs submit spark \
--cluster <cluster_name> \
--region <region> \
--class cl.aman.symphony.commons.DecryptorApplication \
--jars gs://<bucket_name>/sym_data_decryptor-0.0.1-SNAPSHOT-jar-with-dependencies.jar \
-- \
"my_Input"
Error:
Exception in thread "main" java.lang.NoSuchMethodError: org.json4s.Serialization$class.read(Lorg/json4s/Serialization;Ljava/lang/String;Lorg/json4s/Formats;Lscala/reflect/Manifest;)Ljava/lang/Object;
at org.json4s.native.Serialization$.read(Serialization.scala:32)
at cl.falabella.symphony.commons.DecryptorApplication$.makeRequest(DecryptorApplication.scala:44)
at cl.falabella.symphony.commons.DecryptorApplication$.main(DecryptorApplication.scala:65)
at cl.falabella.symphony.commons.DecryptorApplication.main(DecryptorApplication.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:890)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:192)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:217)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:137)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Can someone help me with the Scala JAR packaging ?

Answer 1

You are using json4s-native_2.11 3.6.6 but spark-core 2.4.4 which is core of Spark framework uses json4s in version 3.5.3 which makes json4s core incompatible. I recommend switching to json4s version 3.5.3

Answer 2

Your plugin for dependencies might be wrong set.
Mine has some differences and works perfectly.
<build>
<plugins>
<plugin>
<artifactId>maven-assembly-plugin</artifactId>
<executions>
<execution>
<phase>package</phase>
<goals>
<goal>single</goal>
</goals>
</execution>
</executions>
<configuration>
<descriptorRefs>
<descriptorRef>jar-with-dependencies</descriptorRef>
</descriptorRefs>
</configuration>
</plugin>
</plugins>
</build>
Remember to add in your spark-submit "-jar-with-dependencies" at your jar name.