Most code for current big data projects and for the code you are going to write is going to be JVM based (Java and Scala mostly). There is certainly a ton of R, Python, Shell and other languages. For this tutorial we will focus on JVM tools. The great thing about that is that Java and Scala Static Code Analysis Tools will work for analyzing your code. JUnit test are great for testing the basic code and making sure you isolate out functionality from Hadoop and Spark specific interfacing.
General Java Tools for Testing
http://junit.org/
http://checkstyle.sourceforge.net/ http://pmd.github.io/pmd-5.4.2/pmd-java/rules/index.html Testing Hadoop (A Great Overview)
https://github.com/mfjohnson/HadoopTesting https://www.infoq.com/articles/HadoopMRUnit Example: I have a Hive UDF
written in Java that I can test via Junit to ensure that the main functionality
works. (See: UtilTest) import static org.junit.Assert.assertEquals;
import org.junit.Test;
/**
* Test method for
* {@link com.dataflowdeveloper.deprofaner.ProfanityRemover#fillWithCharacter(
* int, java.lang.String)}.
*/
@Test
public void testFillWithCharacterIntString() {
assertEquals("XXXXX", Util.fillWithCharacter(5, "X") );
}
As you can see this is just a plain old JUnit Test, but it's one step in the process to make sure you can test your code before it is deployed. Also Jenkins and other CI tools are great at running JUnits are part of their continuous build and integration process. A great way to test your application is with a small Hadoop cluster or simulated one. Testing against a Sandbox downloaded on your laptop is a great way as well. Testing Integration
with a Mini-Cluster https://github.com/hortonworks/mini-dev-cluster https://github.com/sakserv/hadoop-mini-clusters Testing Hbase
Applications Artem Ervits has a great article on Hbase Unit Testing. https://community.hortonworks.com/repos/15674/variety-of-hbase-unit-testing-utilities.html https://github.com/dbist/HBaseUnitTest Testing Apache NiFi
Processors
http://docs.hortonworks.com/HDPDocuments/HDF1/HDF-1.2.0.1/bk_DeveloperGuide/content/instantiate-testrunner.html http://www.nifi.rocks/developing-a-custom-apache-nifi-processor-unit-tests-partI/ Testing Apache NiFi
Scripts
https://github.com/mattyb149/nifi-script-tester http://funnifi.blogspot.com/2016/06/testing-executescript-processor-scripts.html Testing Oozie
https://oozie.apache.org/docs/4.2.0/ENG_MiniOozie.html Testing Hive Scripts
https://cwiki.apache.org/confluence/display/Hive/Unit+Testing+Hive+SQL http://hakunamapdata.com/beetest-a-simple-utility-for-testing-apache-hive-scripts-locally-for-non-java-developers/ https://github.com/klarna/HiveRunner https://github.com/edwardcapriolo/hive_test http://finraos.github.io/HiveQLUnit/ Testing Hive UDF
http://blog.matthewrathbone.com/2013/08/10/guide-to-writing-hive-udfs.html https://cwiki.apache.org/confluence/display/Hive/PluginDeveloperKit Using
org.apache.hive.pdk.HivePdkUnitTest and org.apache.hive.pdk.HivePdkUnitTests in your Hive plugin so that it will be included in unit tests. Testing Pig Scripts
http://pig.apache.org/docs/r0.8.1/pigunit.html http://www.slideshare.net/Skillspeed/hdfs-and-big-data-tdd-using-pig-unit-webinar http://www.slideshare.net/SwissHUG/practical-pig-and-pig-unit-michael-noll-july-2012 Testing Apache Spark
Applications
http://www.jesse-anderson.com/2016/04/unit-testing-spark-with-java/ https://github.com/holdenk/spark-testing-base http://www.slideshare.net/hkarau/effective-testing-for-spark-programs-strata-ny-2015 https://developer.ibm.com/hadoop/2016/03/07/testing-your-apache-spark-code-with-junit-4-0-and-intellij/ http://www.slideshare.net/knoldus/unit-testing-of-spark-applications Testing Apache Storm
Applications
Debugging an Apache Storm Topology https://github.com/xumingming/storm-lib/blob/master/src/jvm/storm/TestingApiDemo.java
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