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

Calculating YARN Utilization Metrics

Dmitry Tolpeko shows how you can calculate per-second cluster utilization measures from YARN’s resource manager logs: But even if you query YARN REST API every second it still can only provide a snapshot of the used YARN resources. It does not show which application allocates or releases containers, their memory and CPU capacity, in which […]

Read More

Spark Streaming DStreams

Manish Mishra explains the fundamental abstraction of Spark Streaming: Before going into details of the operations available on the DStream API, let us look at the input sources from which we can start a Stream. There are multiple ways in which we can get the inputs from e.g. Kafka, Flume, etc. Or simple Idle files. […]

Read More

Categories

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