$ mvn archetype:generate -DarchetypeGroupId=net.alchim31.maven -DarchetypeArtifactId=scala-archetype-simple
    groupId: com.mycomp
    artifactId: 01_scala_basics_maven
    version: 1.0-SNAPSHOT

$ cd 01_scala_basics_maven

Edit pom.xml:
    <plugin>
        <groupId>org.codehaus.mojo</groupId>
        <artifactId>exec-maven-plugin</artifactId>
        <version>1.1</version>
        <configuration>
        <mainClass>com.mycomp.App</mainClass>
        </configuration>
    </plugin>
    <plugin>
        <artifactId>maven-jar-plugin</artifactId>
        <version>2.3.1</version>
        <configuration>
            <archive>
                <manifest>
                    <mainClass>com.mycomp.App</mainClass>
                    <addClasspath>true</addClasspath>
                    <classpathLayoutType>custom</classpathLayoutType>
                    <customClasspathLayout>lib/$${artifact.artifactId}-$${artifact.version}$${dashClassifier?}.$${artifact.extension}
                    </customClasspathLayout>
                </manifest>
            </archive>
        </configuration>
    </plugin>
    <plugin>
        <artifactId>maven-dependency-plugin</artifactId>
        <version>2.3</version>
        <configuration>
            <outputDirectory>${project.build.directory}/lib</outputDirectory>
        </configuration>
        <executions>
            <execution>
                <phase>package</phase>
                <goals>
                    <goal>copy-dependencies</goal>
                </goals>
            </execution>
        </executions>
    </plugin>

$ mvn package exec:java
$ mvn package
$ java -jar target/test-1.0-SNAPSHOT.jar

$ mvn package exec:java -Dexec.args="dev|prod hive|pg"

$ pip3 install virtualenv
$ virtualenv <yourenv>
$ source <yourenv> activate
$ deactivate

$ docker container exec spark spark-submit /opt/workspace/scala_examples/04_python_etl_emplate/data_pipline.py