#docker-compose for actionml/Prediction.IO

Overview

This is an updated docker-compose for having a working stack of Prediction.IO. Based on ActionML / Prediction.IO branch.

How to setup

After cloning the repo, make sure you run:

git submodule init

git submodule update

This will download the git submodule for the Universal Recommender Template that will be used for testing.

Components

• pio
• elasticsearch
• hbase
• spark

Optionally, after building, for running test to make sure the stack is working, you'll need the following after building the images:

• pip (in user space inside pio image), and additionally:
  • virtualenv
  • preditionio
  • datetime
• Universal Recommender Template (https://github.com/actionml/template-scala-parallel-universal-recommendation.git)

How to Build

For building the stack, just run:

docker-compose build

or if you want a named stack:

docker-compose -p NameForStack build

Grab a cup of coffee or your favorite beverage, since this might take a while.

How to Run

To start the stack just use:

docker-compose up -d

or, if building with an specific name for the stack:

docker-compose -p NameForStack up -d

How to see logs

for debugging purposes, if you want to see the logs, you can use:

docker-compose logs -f

or if using named stack:

docker-compose -p NameForStack logs -f

You can also specify a specific component stack to see, for example:

docker-compose logs -f pio

docker-compose logs -f hbase

docker-compose logs -f elasticsearch

How to test

See https://d.evops.pw/dockerized-prediction-io/ for info on how to test and detailed explanation.