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https://issues.apache.org/jira/browse/ARROW-16020?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17513551#comment-17513551
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Kyle Kavanagh commented on ARROW-16020:
---------------------------------------
Unfortunately not compatible. The row-wise iteration is exactly what I'm going
for: Converting a columnar arrow dataset to a "row-wise" array of C-structs of
a similar schema
> [Python] Provide access to buffers underlying scalars
> ------------------------------------------------------
>
> Key: ARROW-16020
> URL: https://issues.apache.org/jira/browse/ARROW-16020
> Project: Apache Arrow
> Issue Type: New Feature
> Components: Python
> Reporter: Kyle Kavanagh
> Priority: Major
>
> I'm building a process to take data from pyarrow Tables and write their data
> a memory mapped file in a custom format. Currently, I iterate through the
> arrow table and must call as_py() only to convert the python value to bytes
> and write to the memory mapped file. If the pyarrow scalar API provided a
> view over the underlying storage, I could simply memcopy the values from the
> arrow buffer into the mmap buffer.
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