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From "Wes McKinney (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (ARROW-661) [C++] Add a Flatbuffer metadata type that supports array data over 2^31 - 1 elements
Date Sun, 19 Mar 2017 01:09:41 GMT

     [ https://issues.apache.org/jira/browse/ARROW-661?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Wes McKinney reassigned ARROW-661:
----------------------------------

    Assignee: Wes McKinney

> [C++] Add a Flatbuffer metadata type that supports array data over 2^31 - 1 elements
> ------------------------------------------------------------------------------------
>
>                 Key: ARROW-661
>                 URL: https://issues.apache.org/jira/browse/ARROW-661
>             Project: Apache Arrow
>          Issue Type: New Feature
>          Components: C++
>            Reporter: Wes McKinney
>            Assignee: Wes McKinney
>
> Users of Arrow C++ have reported needing to store large arrays using our shared memory
IPC machinery. While data over 2^31 - 1 elements is "out of spec" as far as what it means
to "implement Arrow", it would be useful to have a "LargeRecordBatch" type that permits storing
large arrays. Other Arrow implementations in general will not need to support reading and
writing this data -- this is closely related to the tensor discussion in ARROW-550.
> {code}
> struct LargeFieldNode {
>   length: long;
>   null_count: long;
> }
> table LargeRecordBatch {
>   length: long;
>   nodes: [LargeFieldNode];
>   buffers: [Buffer];
> }
> {code}
> An initial implementation of this will be marked experimental so that we can get the
code into the hands of users (like the Ray project https://github.com/ray-project/ray) in
case there's some ongoing discussion to be had about handling very large vectors/arrays.
> Reading and writing this metadata should be achievable without a huge amount of code
duplication, I will see what I can do. 



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