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 7
Welcome to Spark in Action, 2nd edition, chapter 7. This chapter covers file ingestion from CSV, JSON, XML, text, and more.
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.
Lab #200
The ComplexCsvToDataframeApp application does the following:
- It acquires a session (a
SparkSession). - It asks Spark to load (ingest) a dataset in CSV format.
- It demonstrates how to add input options for the underlying data source.
Lab #201
Based on lab #200, illustrates the push down filter().
This lab is not described in the Spark in Action, 2nd edition. It was added in July 2020.
Lab #300
TBD
Lab #400
TBD
Lab #401
TBD
Lab #500
TBD
Lab #501
TBD
Lab #600
The XmlToDataframeApp application reads an XML file and displays its content and schema. Updated to use Spark-XML v0.12.0.
Lab #700
TBD
Lab #910
TBD
Lab #920
TBD
Lab #930
TBD
Lab #990
TBD
Lab #991
Based on video game sales prior to 2016, dataset from Kaggle (https://www.kaggle.com/gregorut/videogamesales).
This lab is not described in the Spark in Action, 2nd edition. It was added in July 2020.
Running the labs
Java
For information on running the Java lab, see chapter 1 in Spark in Action, 2nd edition.
PySpark
You will need:
git.- Apache Spark (please refer Appendix P - "Spark in production: installation and a few tips").
Step by step direction for lab #200. You will need to adapt some steps for the other labs.
-
Clone this project
git clone https://github.com/jgperrin/net.jgp.books.spark.ch07
-
Go to the lab in the Python directory
cd net.jgp.books.spark.ch07/src/main/python/lab200_csv_ingestion/
-
Execute the following spark-submit command to create a jar file to our this application
spark-submit complexCsvToDataframeApp.py
Scala
You will need:
git.- Apache Spark (please refer Appendix P - "Spark in production: installation and a few tips").
Step by step direction for lab #200. You will need to adapt some steps for the other labs.
-
Clone this project
git clone https://github.com/jgperrin/net.jgp.books.spark.ch07
-
Go to the right directory
cd net.jgp.books.spark.ch07
-
Package application using sbt command
sbt clean assembly
-
Run Spark/Scala application using spark-submit command as shown below:
spark-submit --class net.jgp.books.spark.ch07.lab200_csv_ingestion.ComplexCsvToDataframeScalaApp target/scala-2.12/SparkInAction2-Chapter07-assembly-1.0.0.jar
News
- [2020-06-07] Updated the pom.xml to support Apache Spark v3.1.2.
- [2020-06-07] As we celebrate the first anniversary of Spark in Action, 2nd edition is the best-rated Apache Spark book on Amazon.
Notes
- [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).
- [Scala, Python] As of MEAP v14, we have introduced Scala and Python examples (published in October 2019).
- Erratas and additional examples are added and the labs may slightly differ from the once in the book (update in July 2020).
- 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 Book site.