Simplifying Spark Application Development

Ian Hellstrom has scripts to simplify Apache Spark application rollout:

When creating Apache Spark applications the basic structure is pretty much the same: for sbt you need the same build.sbt, the same imports, and the skeleton application looks the same. All that really changes is the main entry point, that is the fully qualified class. Since that’s easy to automate, I present a couple of shell scripts that help you create the basic building blocks to kick-start Spark application development and allow you to easily upgrade versions in the configuration.

Check these out if you’re interested in Spark.

Related Posts

Overriding Spark Dependencies

Landon Robinson shows how to override a Spark dependency located on the classpath: This doesn’t draw the line exactly where the method changed from private to public, but generally speaking:– gson-2.2.4.jar: the method is private, and therefore too old for use here– gson-2.6.1: the method is public, and works fine.– Somewhere between the two, the […]

Read More

Kafka and MirrorMaker

Renu Tewari describes what MirrorMaker does for Kafka today and what is coming with version 2: Apache Kafka has become an essential component of enterprise data pipelines and is used for tracking clickstream event data, collecting logs, gathering metrics, and being the enterprise data bus in a microservices based architectures. Kafka is essentially a highly […]

Read More

Categories

May 2016
MTWTFSS
« Apr Jun »
 1
2345678
9101112131415
16171819202122
23242526272829
3031