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.
Welcome to Spark with Java, chapter 3. This chapter is all about the dataframe, understand its role and royalty!
This code is designed to work with Apache Spark v3.0.0.
Labs:
- #200:
IngestionSchemaManipulationApp: ingestion of a CSV, manipulation of schema structure post-ingestion
For information on running the Java lab, see chapter 3 in Spark in Action, 2nd edition.
Prerequisites:
You will need:
git.- Apache Spark (please refer Appendix P - 'Spark in production: installation and a few tips').
- Clone this project
git clone https://github.com/jgperrin/net.jgp.books.spark.ch03
- Go to the lab in the Python directory
cd net.jgp.books.spark.ch03/src/main/python/lab200_ingestion_schema_manipulation/
-
Execute the following spark-submit command to create a jar file to our this application
spark-submit ingestionSchemaManipulationApp.py
Prerequisites:
You will need:
git.- Apache Spark (please refer Appendix P - 'Spark in production: installation and a few tips').
-
Clone this project
git clone https://github.com/jgperrin/net.jgp.books.spark.ch03
-
cd net.jgp.books.spark.ch03
-
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.ch03.lab200_ingestion_schema_manipulation.IngestionSchemaManipulationScalaApp target/scala-2.12/SparkInAction2-Chapter03-assembly-1.0.0.jar
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).
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.