Awesome
Bigdata Playground
The aim is to create a Batch/Streaming/ML/WebApp stack where you can test your jobs locally or to submit them to the Yarn resource manager. We are using Docker to build the environment and Docker-Compose to provision it with the required components (Next step using Kubernetes). Along with the infrastructure, We are check that it works with 4 projects that just probes everything is working as expected. The boilerplate is based on a sample search flight Web application.
Installation
If you are on mac then, you can use package manager like brew to install sbt on your machine:
$ brew install sbt
For other systems, you can refer to manual instructions from sbt website http://www.scala-sbt.org/0.13/tutorial/Manual-Installation.html.
If you are on mac then, you can use package manager like brew to install maven on your machine:
$ brew install maven
For other systems, you can refer to manual instructions from maven website https://maven.apache.org/install.html.
Install Docker by following the instructions for <a href='https://docs.docker.com/mac/step_one/'>mac</a>, <a href='https://docs.docker.com/linux/step_one/'>linux</a>, or <a href='https://docs.docker.com/windows/step_one/'>windows</a>.
docker network create vnet
npm install yarn -g
cd webapp && yarn && cd client && yarn && cd ../server && yarn && cd ../ && npm run build:dev && cd ../
cd batch/spark && sbt clean package assembly && cd ../..
cd batch/hadoop && mvn clean package && cd ../..
cd streaming/spark && sbt clean assembly && cd ../..
cd streaming/flink && sbt clean assembly && cd ../..
cd streaming/storm && mvn clean package && cd ../..
cd docker
docker-compose -f mongo.yml -f zookeeper.yml -f kafka.yml -f hadoop-hbase.yml -f flink.yml up -d
docker-compose -f dev/webapp.yml up -d
docker-compose -f dev/batch-spark.yml up -d
docker-compose -f dev/batch-hadoop.yml up -d
docker-compose -f dev/streaming-spark.yml up -d
docker-compose -f dev/streaming-flink.yml up -d
docker-compose -f dev/streaming-storm.yml up -d
Create your Twitter app on https://apps.twitter.com
export TWITTER_CONSUMER_KEY=<TWITTER_CONSUMER_KEY>
export TWITTER_CONSUMER_SECRET=<TWITTER_CONSUMER_SECRET>
export TWITTER_CONSUMER_ACCESS_TOKEN=<TWITTER_CONSUMER_ACCESS_TOKEN>
export TWITTER_CONSUMER_ACCESS_TOKEN_SECRET=<TWITTER_CONSUMER_ACCESS_TOKEN_SECRET>
docker-compose -f dev/ml-spark.yml up -d
Interactions / OnGoing
<img src='https://image.ibb.co/eOuL5H/search_flight_simple_v4.png'/>Contributing
Pull requests are welcome.
Support
Please raise tickets for issues and improvements at https://github.com/Chabane/bigdata-playground/issues
License
This example is released under version 2.0 of the Apache License.