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https://issues.apache.org/jira/browse/ARROW-567?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17657601#comment-17657601
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Rok Mihevc commented on ARROW-567:
----------------------------------
This issue has been migrated to [issue
#16203|https://github.com/apache/arrow/issues/16203] on GitHub. Please see the
[migration documentation|https://github.com/apache/arrow/issues/14542] for
further details.
> [C++] File and stream APIs for interacting with "large" schemas
> ---------------------------------------------------------------
>
> Key: ARROW-567
> URL: https://issues.apache.org/jira/browse/ARROW-567
> Project: Apache Arrow
> Issue Type: New Feature
> Components: C++
> Reporter: Wes McKinney
> Priority: Major
>
> For data where the metadata itself is large (> 10000 fields), doing a full
> in-memory reconstruction of a record batch may be impractical if the user's
> goal is to do random access on a potentially small subset of a batch.
> I propose adding an API that enables "cheap" inspection of the record batch
> metadata and reconstruction of fields.
> Because of the flattened buffer and field metadata, at the moment the
> complexity of random field access will scale with the number of fields -- in
> the future we may devise strategies to mitigate this (e.g. storing a
> pre-computed buffer/field lookup table in the schema)
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