LinGeLin created ARROW-17740:
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Summary: [c++][compute]Is there any other way to use Join besides
Acero？
Key: ARROW-17740
URL: https://issues.apache.org/jira/browse/ARROW-17740
Project: Apache Arrow
Issue Type: Improvement
Reporter: LinGeLin
Attachments: data.zip, test.cpp, v4test.py
Acero performs poorly, and coredump occurs frequently！
In the scenario I'm working on, I'll read one Parquet file and then several
other Parquet files. These files will have the same column name (UUID). I need
to join (by UUID), project (remove UUID), and filter (some custom filtering)
the results of the two reads. I found that Acero could only be used to do join,
but when I tested it, Acero performance was very poor and very unstable,
coredump often happened. Is there another way? Or just another way to do a join!
my project commit:
[链接|https://github.com/tensorflow/io/commit/57f373b352ea0181d65e12ac834ed9b2a3b31ef5a]
tensorflow ==2.6.2
you can build tfio as follows:
./configure.sh
bazel build -s --verbose_failures $BAZEL_OPTIMIZATION //tensorflow_io/...
//tensorflow_io_gcs_filesystem/... --compilation_mode=opt --copt=-msse4.2
--copt=-mfma --copt=-mavx2
python setup.py bdist_wheel --data bazel-bin
pip install dist/tensorflow_io-0.21.0-cp38-cp38-linux_x86_64.whl
--force-reinstall --no-deps
run v4test.py to test the dataset
Data.zip contains several parquet files, which are stored on S3 in my scenario.
I have copied some of the code into test.cpp and can only see the general flow,
not compiled
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