.travis.yml

language: python

cache:
  directories:
    - $HOME/.cache/spark-versions

matrix:
  include:
    - python: "3.5"
      env:
        - SPARK_VERSION=2.3.3
        - PANDAS_VERSION=0.23.4
        - PYARROW_VERSION=0.10.0
    - python: "3.6"
      env:
        - SPARK_VERSION=2.4.3
        - PANDAS_VERSION=0.24.2
        - PYARROW_VERSION=0.10.0
    # When we upgrade Spark 3.0 for this, we could try to just use JDK 11 at 'xenial'.
    # Python 3.7 and higher are only available at this image.
    - python: 3.7
      dist: xenial
      sudo: true
      jdk:
        - oraclejdk8
      env:
        - PATH=$(echo "$PATH" | sed -e 's/:\/usr\/local\/lib\/jvm\/openjdk11\/bin//')
        - JAVA_HOME=/usr/lib/jvm/java-1.8.0-openjdk-amd64
        - SPARK_VERSION=2.4.3
        - PANDAS_VERSION=0.24.2
        - PYARROW_VERSION=0.13.0

before_install:
 - ./dev/download_travis_dependencies.sh

# See this page: http://conda.pydata.org/docs/travis.html
install:
  - sudo apt-get update
  # We do this conditionally because it saves us some downloading if the
  # version is the same.
  - if [[ "$TRAVIS_PYTHON_VERSION" == "2.7" ]]; then
      curl -s https://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh > miniconda.sh;
    else
      curl -s https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh > miniconda.sh;
    fi
  - bash miniconda.sh -b -p $HOME/miniconda
  - . $HOME/miniconda/etc/profile.d/conda.sh
  - 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

  # Replace dep1 dep2 ... with your dependencies
  - conda create -c conda-forge -q -n test-environment python=$TRAVIS_PYTHON_VERSION
  - conda activate test-environment
  - conda config --env --add pinned_packages python=$TRAVIS_PYTHON_VERSION
  - conda config --env --add pinned_packages pandas==$PANDAS_VERSION
  - conda config --env --add pinned_packages pyarrow==$PYARROW_VERSION
  - conda install -c conda-forge --yes codecov
  - conda install -c conda-forge --yes --file requirements-dev.txt

  # Show installed packages
  - conda list

  # Useful for to_clipboard test
  - export DISPLAY=:0.0
  - sudo apt-get install xclip

before_script:
  - export SPARK_HOME="$HOME/.cache/spark-versions/spark-$SPARK_VERSION-bin-hadoop2.7"
  - ./dev/lint-python

script:
  - ./dev/pytest

# Push the results back to codecov
after_success:
  - codecov