fredboneML / net.jgp.books.spark.ch05

Spark in Action, 2nd edition - chapter 5 - Deployment

Home Page:http://jgp.net/sia

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

The examples in this repository are support to the Spark in Action, 2nd edition book by Jean Georges Perrin and published by Manning. Find out more about the book on Manning's website.

Spark in Action, 2nd edition - chapter 5

Welcome to Spark with Java, chapter 5. This chapter is about deployment of your application on a cluster.

The example used here is the approximation of Pi.

This code is designed to work with Apache Spark v3.0.0.

Lab

Each chapter has one or more labs. Labs are examples used for teaching in the book(https://www.manning.com/books/spark-in-action-second-edition?a_aid=jgp). You are encouraged to take ownership of the code and modify it, experiment with it, hence the use of the term lab.

Lab #100

The PiComputeApp application does the following:

  1. It acquires a session (a SparkSession).
  2. It asks Spark to create a dataset using given List of numbers.
  3. It demonstrates how Spark's does Map and Reduce operations.

Running the lab in Java

For information on running the Java lab, see chapter 4 in Spark in Action, 2nd edition.

Running the lab using PySpark

Prerequisites:

You will need:

  • git.
  • Apache Spark (please refer Appendix P - "Spark in production: installation and a few tips").
  1. Clone this project
git clone https://github.com/jgperrin/net.jgp.books.spark.ch05
  1. Go to the lab in the Python directory
cd net.jgp.books.spark.ch05/src/main/python/lab100_pi_compute/
  1. Execute the following spark-submit command to create a jar file to our this application
spark-submit piComputeApp.py

Running the lab in Scala

Prerequisites:

You will need:

  • git.
  • Apache Spark (please refer Appendix P - "Spark in production: installation and a few tips").
  1. Clone this project
git clone https://github.com/jgperrin/net.jgp.books.spark.ch05
  1. Go to the lab directory
cd net.jgp.books.spark.ch05
  1. Package application using the sbt command
sbt clean assembly
  1. Run Spark/Scala application using spark-submit command as shown below:
spark-submit --class net.jgp.books.spark.ch05.lab100_pi_compute.PiComputeScalaApp target/scala-2.12/SparkInAction2-Chapter05-assembly-1.0.0.jar

Notes:

  1. [Java] Due to renaming the packages to match more closely Java standards, this project is not in sync with the book's MEAP prior to v10 (published in April 2019).
  2. [Scala, Python] As of MEAP v14, we have introduced Scala and Python examples (published in October 2019).

Follow me on Twitter to get updates about the book and Apache Spark: @jgperrin. Join the book's community on Facebook or in Manning's community site.

About

Spark in Action, 2nd edition - chapter 5 - Deployment

http://jgp.net/sia

License:Apache License 2.0


Languages

Language:Java 43.8%Language:Scala 37.0%Language:Python 19.2%