Skip to content

seshendranath/structured_data_processing_spark_sql

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

This repository contains example code and sample data for Structured data analysis with Spark SQL session. Follow the below steps to clone code and setup your machine.

Prerequisites

  • Java
  • Maven 3

2. Getting code

       git clone https://github.com/phatak-dev/structured_data_processing_spark_sql

3. Build

    mvn clean install

4. Testing

then run the following command from code directory

 java -cp target/spark-sql-examples.jar com.madhukaraphatak.spark.sql.sqlquery.QueryCsv local src/main/resources/sales.csv

5. Loading into an IDE

You can run all the examples from terminal. If you want to run from the IDE, follow the below steps

  • IDEA 14

Install scala plugin. Once plugin is loaded you can load it as maven project.

6. Up to date

Please pull before coming to the session to get the latest code.

About

Code and setup information for Structured data processing with Spark sQL session

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Scala 100.0%