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 – Java, Python, and Scala code for chapter 10

Welcome to Spark in Action, chapter 10. This chapter is about ingesting streaming data in Apache Spark. Note that the focus of this chapter is on structured streaming (not discretized streaming).

Also contains examples of the usage of the various sinks in Spark's structured streaming.

This code is designed to work with Apache Spark v3.1.2.

Labs

Each chapter has one or more labs. Labs are examples used for teaching in the book. You are encouraged to take ownership of the code and modify it, experiment with it, hence the use of the term lab. This chapter has several labs.

Lab #100

TBD

Running the lab in Java

For information on running the Java lab, see chapter 1 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.ch10

2. Go to the lab in the Python directory

cd net.jgp.books.spark.ch10/src/main/python/lab100_read_stream/

3. Execute the following spark-submit command to create a jar file to our this application

spark-submit readLinesFromFileStreamApp.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.ch10

2. cd net.jgp.books.spark.ch10

3. Package application using sbt command

sbt clean assembly

4. Run Spark/Scala application using spark-submit command as shown below:

spark-submit --class net.jgp.books.spark.ch10.lab100_read_stream.ReadLinesFromFileStreamScalaApp.scala target/scala-2.12/SparkInAction2-Chapter10-assembly-1.0.0.jar

News

1. [2020-06-13] Updated the pom.xml to support Apache Spark v3.1.2.
2. [2020-06-13] As we celebrate the first anniversary of Spark in Action, 2nd edition is the best-rated Apache Spark book on Amazon.

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).
3. The master branch contains the last version of the code running against the latest supported version of Apache Spark. Look in specifics branches for specific versions.

---

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 live site.