[
https://issues.apache.org/jira/browse/ARROW-1983?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16731464#comment-16731464
]
Wes McKinney commented on ARROW-1983:
-------------------------------------
Mechanically this isn't a huge change. On the C++ side we would expose an API
to append row group metadata into a common file. This can be used from the
Python side, then. I'm planning to move more of the multifile dataset handling
into C++ because we also need it in Ruby and R, so would make sense to maintain
one implementation for the 3 languages
> [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
> Assignee: Robert Gruener
> Priority: Major
> Labels: beginner, parquet
> Fix For: 0.13.0
>
>
> 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.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
