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https://issues.apache.org/jira/browse/ARROW-1983?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Uwe L. Korn updated ARROW-1983:
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Description:
Currently {{pyarrow.parquet}} can only write the {{_common_metadata}} file
(mostly just schema information). It would be useful to add the ability to
write a {{_metadata}} file as well. This should include information about each
row group in the dataset, including summary statistics. Having this summary
file would allow filtering of row groups without needing to access each file
beforehand.
This would require that the user is able to get the written RowGroups out of a
{{pyarrow.parquet.write_table}} call and then give these objects as a list to
new function that then passes them on as C++ objects to {{parquet-cpp}} that
generates the respective {{_metadata}} file.
was:Currently `pyarrow.parquet` can only write the `_common_metadata` file
(mostly just schema information). It would be useful to add the ability to
write a `_metadata` file as well. This should include information about each
row group in the dataset, including summary statistics. Having this summary
file would allow filtering of row groups without needing to access each file
beforehand.
> [Python] Add ability to write parquet `_metadata` file
> ------------------------------------------------------
>
> Key: ARROW-1983
> URL: https://issues.apache.org/jira/browse/ARROW-1983
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Python
> Reporter: Jim Crist
> Priority: Major
> Fix For: 0.10.0
>
>
> Currently {{pyarrow.parquet}} can only write the {{_common_metadata}} file
> (mostly just schema information). It would be useful to add the ability to
> write a {{_metadata}} file as well. This should include information about
> each row group in the dataset, including summary statistics. Having this
> summary file would allow filtering of row groups without needing to access
> each file beforehand.
> This would require that the user is able to get the written RowGroups out of
> a {{pyarrow.parquet.write_table}} call and then give these objects as a list
> to new function that then passes them on as C++ objects to {{parquet-cpp}}
> that generates the respective {{_metadata}} file.
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