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https://issues.apache.org/jira/browse/ARROW-17740?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17607148#comment-17607148
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LinGeLin commented on ARROW-17740:
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I re-uploaded a copy of the code that can be compiled and run in join_test.zip,
including cmakelists.txt, the test data files and the Python code that
generated the test files. There is also Python code to view the data files. You
will need to compile Arrow 9.0 yourself.
> [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
> Priority: Major
> Attachments: data.zip, join_test.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/LinGeLin/io/commit/9b1b06d8d74154f0768bf5258cc3eaa2b9e20701]
> 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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