[jira] [Updated] (ARROW-567) [C++] File and stream APIs for interacting with "large" schemas

["Wes McKinney (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ARROW-567?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wes McKinney updated ARROW-567:
-------------------------------
    Fix Version/s:     (was: 0.9.0)

> [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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