blob: 0b731638cd97d3360321c4a09e9f215b7086ea5e [file] [log] [blame]
#!/usr/bin/env bash
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
set -e
#----------------------------------------------------------------------
# Change this to whatever makes sense for your system
HOME=
MINICONDA=$HOME/miniconda-for-arrow
LIBRARY_INSTALL_DIR=$HOME/local-libs
CPP_BUILD_DIR=$HOME/arrow-cpp-build
ARROW_ROOT=/arrow
PYTHON=3.10
git config --global --add safe.directory $ARROW_ROOT
#----------------------------------------------------------------------
# Run these only once
function setup_miniconda() {
MINICONDA_URL="https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Linux-x86_64.sh"
wget -O miniconda.sh $MINICONDA_URL
bash miniconda.sh -b -p $MINICONDA
rm -f miniconda.sh
LOCAL_PATH=$PATH
export PATH="$MINICONDA/bin:$PATH"
mamba info
conda config --set show_channel_urls True
conda config --show channels
mamba create -y -n pyarrow-$PYTHON \
--file arrow/ci/conda_env_unix.txt \
--file arrow/ci/conda_env_cpp.txt \
--file arrow/ci/conda_env_python.txt \
compilers \
python=$PYTHON \
pandas
export PATH=$LOCAL_PATH
}
setup_miniconda
#----------------------------------------------------------------------
# Activate mamba in bash and activate mamba environment
. $MINICONDA/etc/profile.d/conda.sh
conda activate pyarrow-$PYTHON
export ARROW_HOME=$CONDA_PREFIX
#----------------------------------------------------------------------
# Build C++ library
mkdir -p $CPP_BUILD_DIR
pushd $CPP_BUILD_DIR
cmake -GNinja \
-DCMAKE_BUILD_TYPE=DEBUG \
-DCMAKE_INSTALL_PREFIX=$ARROW_HOME \
-DCMAKE_INSTALL_LIBDIR=lib \
-DCMAKE_UNITY_BUILD=ON \
-DARROW_COMPUTE=ON \
-DARROW_CSV=ON \
-DARROW_FILESYSTEM=ON \
-DARROW_JSON=ON \
$ARROW_ROOT/cpp
ninja install
popd
#----------------------------------------------------------------------
# Build and test Python library
pushd $ARROW_ROOT/python
rm -rf build/ # remove any pesky preexisting build directory
export CMAKE_PREFIX_PATH=${ARROW_HOME}${CMAKE_PREFIX_PATH:+:${CMAKE_PREFIX_PATH}}
export PYARROW_BUILD_TYPE=Debug
export PYARROW_CMAKE_GENERATOR=Ninja
# Use the same command that we use on python_build.sh
python -m pip install --no-deps --no-build-isolation -vv .
popd
pytest -vv -r s ${PYTEST_ARGS} --pyargs pyarrow