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ARROW-2657: [Python] Import TensorFlow python extension before pyarrow to avoid segfault #2210

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18 changes: 18 additions & 0 deletions ci/travis_script_manylinux.sh
Original file line number Diff line number Diff line change
Expand Up @@ -24,3 +24,21 @@ pushd python/manylinux1
git clone ../../ arrow
docker build -t arrow-base-x86_64 -f Dockerfile-x86_64 .
docker run --shm-size=2g --rm -e PYARROW_PARALLEL=3 -v $PWD:/io arrow-base-x86_64 /io/build_arrow.sh

# Testing for https://issues.apache.org/jira/browse/ARROW-2657
# These tests cannot be run inside of the docker container, since TensorFlow
# does not run on manylinux1
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Did this test fail before this fix?

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Yeah, I tried it on an ec2 instance before putting it in.


source $TRAVIS_BUILD_DIR/ci/travis_env_common.sh

source $TRAVIS_BUILD_DIR/ci/travis_install_conda.sh

PYTHON_VERSION=3.6
CONDA_ENV_DIR=$TRAVIS_BUILD_DIR/pyarrow-test-$PYTHON_VERSION

conda create -y -q -p $CONDA_ENV_DIR python=$PYTHON_VERSION
source activate $CONDA_ENV_DIR

pip install -q tensorflow
pip install "dist/`ls dist/ | grep cp36`"
python -c "import pyarrow; import tensorflow"
19 changes: 19 additions & 0 deletions python/pyarrow/__init__.py
Original file line number Diff line number Diff line change
Expand Up @@ -44,6 +44,25 @@ def parse_version(root):
__version__ = None


try:
# We need to do the following to load TensorFlow before
# pyarrow.lib. If we don't do this there are symbol clashes
# between TensorFlow's use of threading and our global
# thread pool, see also
# https://issues.apache.org/jira/browse/ARROW-2657 and
# https://github.com/apache/arrow/pull/2096.
import ctypes
import os
from sys import platform
import site
if platform == "linux" or platform == "linux2":
SITE_PATH, = site.getsitepackages()
ctypes.CDLL(os.path.join(SITE_PATH, "tensorflow",
"libtensorflow_framework.so"))
except:
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It might be better to make this less restrictive. You could even get away without a try/except and only attempt to load the shared lib if the TF folder is there. How about putting this in a function in pyarrow.compat?

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fixed

pass


from pyarrow.lib import cpu_count, set_cpu_count
from pyarrow.lib import (null, bool_,
int8, int16, int32, int64,
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