.travis.yml

language: scala
sudo: required
dist: precise
cache:
  directories:
    - $HOME/.ivy2
    - $HOME/spark
    - $HOME/.cache/pip
    - $HOME/.pip-cache
    - $HOME/.sbt/launchers
jdk:
  - oraclejdk8
scala:
   - 2.10.4
sudo: false
addons:
  apt:
    packages:
      - axel
before_install:
  - export PATH=$HOME/.local/bin:$PATH
  - pip install --user codecov coverage unittest2
install:
  # Download spark 2.2.3
  - "[ -f spark ] || mkdir spark && cd spark && axel http://www-us.apache.org/dist/spark/spark-2.2.3/spark-2.2.3-bin-hadoop2.7.tgz && cd .."
  - "tar -xf ./spark/spark-2.2.3-bin-hadoop2.7.tgz"
  - "export SPARK_HOME=`pwd`/spark-2.2.3-bin-hadoop2.7"
  - echo "spark.yarn.jars=$SPARK_HOME/jars/*.jar" > $SPARK_HOME/conf/spark-defaults.conf
  # Install Python deps.
  # The conda installation steps here are based on http://conda.pydata.org/docs/travis.html
  - wget https://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh -O miniconda.sh
  - bash miniconda.sh -b -p $HOME/miniconda
  - export PATH="$HOME/miniconda/bin:$PATH"
  - hash -r
  - conda config --set always_yes yes --set changeps1 no
  - conda update -q conda
  # Useful for debugging any issues with conda
  - conda info -a
  - deps='pip requests nose sphinx pycodestyle coverage'
  - conda create -p $HOME/py --yes $deps "python=2.7"
  - export PATH=$HOME/py/bin:$PATH
  - pip install --upgrade unittest2 codecov
script:
  - ./sbt/sbt scalastyle
  - SPARK_CONF_DIR=./log4j/ ./sbt/sbt clean coverage test coverageReport
  - bash <(curl -s https://codecov.io/bash) -cF scala
  - cp ./log4j/log4j.properties $SPARK_HOME/conf/
  - ./python/run-tests
  - bash <(curl -s https://codecov.io/bash) -cF python
  - "pycodestyle --ignore=E402 ./python"
notifications:
  email:
    recipients:
      - holden@pigscanfly.ca