Big data rocks !

This repo contains examples to help people using big data technologies such as Spark, Cassandra and Elasticsearch.

Content

For now it contains a project that loads in parallel (using Spark) a collection of persons into Cassandra and Elasticsearch and provides also tools to manipulate them:

• Pipeline and services to load data using local (in JVM) spark cluster
• DAOs for CRUD operations against Cassandra and Elasticsearch
• Unit tests that use embedded Cassandra and embedded Elasticsearch
• Integration tests that run against official Cassandra and Elasticsearch docker containers (see https://github.com/echauchot/bigDataRocksCI for containers management)

The project is designed to work on a single machine. It contains no main and should be run using the integration tests provided.

Requirements

• java 8 and maven (obviously :) )
• docker for backend containers used by integration tests (see https://github.com/echauchot/bigDataRocksCI)

Next steps

• Add more comprehensive Spark example with map/reduce operations and good practices (for instance, avoid groupby and prefer mapTopair + reduceByKey to avoid shuffle ...)
• Add examples on how to use Spark SQL
• Add examples on how to use Spark Streaming