| # 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. |
| |
| ARG repo |
| ARG arch |
| FROM ${repo}:${arch}-conda-cpp |
| |
| # install python specific packages |
| ARG python=3.8 |
| COPY ci/conda_env_python.txt \ |
| /arrow/ci/ |
| # If the Python version being tested is the same as the Python used by the system gdb, |
| # we need to install the conda-forge gdb instead (GH-38323). |
| RUN mamba install -q -y \ |
| --file arrow/ci/conda_env_python.txt \ |
| $([ "$python" == $(gdb --batch --eval-command 'python import sys; print(f"{sys.version_info.major}.{sys.version_info.minor}")') ] && echo "gdb") \ |
| "python=${python}.*=*_cpython" \ |
| nomkl && \ |
| mamba clean --all |
| |
| # XXX The GCS testbench was already installed in conda-cpp.dockerfile, |
| # but we changed the installed Python version above, so we need to reinstall it. |
| COPY ci/scripts/install_gcs_testbench.sh /arrow/ci/scripts |
| RUN /arrow/ci/scripts/install_gcs_testbench.sh default |
| |
| ENV ARROW_ACERO=ON \ |
| ARROW_BUILD_STATIC=OFF \ |
| ARROW_BUILD_TESTS=OFF \ |
| ARROW_BUILD_UTILITIES=OFF \ |
| ARROW_COMPUTE=ON \ |
| ARROW_CSV=ON \ |
| ARROW_DATASET=ON \ |
| ARROW_FILESYSTEM=ON \ |
| ARROW_GDB=ON \ |
| ARROW_HDFS=ON \ |
| ARROW_JSON=ON \ |
| ARROW_SUBSTRAIT=OFF \ |
| ARROW_TENSORFLOW=ON \ |
| ARROW_USE_GLOG=OFF |