[
https://issues.apache.org/jira/browse/ARROW-17740?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17609940#comment-17609940
]
LinGeLin commented on ARROW-17740:
----------------------------------
[https://drive.google.com/file/d/1VAx_LMpIoQ2pF8bYguuWc_hJpjTY02LP/view?usp=sharing]
new test data with a thousand columns and code file. you can download the
data.zip from google drive
Just checking to make sure Acero can handle files of this size efficiently?
Even more columns. If not, we must consider other implementations
> [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, test_join.cpp,
> test_join1.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
>
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
