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Posted to dev@mnemonic.apache.org by "Wang, Gang (JIRA)" <ji...@apache.org> on 2016/03/22 19:05:25 UTC

[jira] [Updated] (MNEMONIC-2) Integration Mnemonic and Apache Arrow, Phase 1

     [ https://issues.apache.org/jira/browse/MNEMONIC-2?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wang, Gang updated MNEMONIC-2:
------------------------------
    Description: 
The Apache Incubator Mnemonic provides a extendable mechanism for managing hybrid memory-like resources & their customized allocation services. 
Apache Arrow is powering columnar In-memory analytics. Theoretical, Apache Arrow is able to take advantages of Mnemonic and put its columnar dataset on various underlying memory-like devices e.g. SSD, NVMe, Off-heap. 
In this way, Apache Arrow could manage more columnar data for its applications and even customize its own allocation services according to their special data layouts for better performance as well as improve the generality and leverage Mnemonic coming new features if desired.

  was:as we have discussed, Mnemonic is able to improve the generality of Apache Arrow, so I create this issue to address this new feature for discussion and task tracking, Thanks.


> Integration Mnemonic and Apache Arrow, Phase 1
> ----------------------------------------------
>
>                 Key: MNEMONIC-2
>                 URL: https://issues.apache.org/jira/browse/MNEMONIC-2
>             Project: Mnemonic
>          Issue Type: Improvement
>            Reporter: Wang, Gang
>            Assignee: Wang, Gang
>              Labels: features
>
> The Apache Incubator Mnemonic provides a extendable mechanism for managing hybrid memory-like resources & their customized allocation services. 
> Apache Arrow is powering columnar In-memory analytics. Theoretical, Apache Arrow is able to take advantages of Mnemonic and put its columnar dataset on various underlying memory-like devices e.g. SSD, NVMe, Off-heap. 
> In this way, Apache Arrow could manage more columnar data for its applications and even customize its own allocation services according to their special data layouts for better performance as well as improve the generality and leverage Mnemonic coming new features if desired.



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