You are viewing a plain text version of this content. The canonical link for it is here.

Posted to jira@arrow.apache.org by "Wes McKinney (Jira)" <ji...@apache.org> on 2020/09/12 20:02:01 UTC

[jira] [Created] (ARROW-9983) [C++][Dataset] Use larger default batch size than 32K for Datasets API

Wes McKinney created ARROW-9983:
-----------------------------------

             Summary: [C++][Dataset] Use larger default batch size than 32K for Datasets API
                 Key: ARROW-9983
                 URL: https://issues.apache.org/jira/browse/ARROW-9983
             Project: Apache Arrow
          Issue Type: Improvement
          Components: C++
            Reporter: Wes McKinney
             Fix For: 2.0.0


Dremio uses 64K batch sizes. We could probably get away with even larger batch sizes (e.g. 256K or 1M) and allow memory-constrained users to elect a smaller batch size. 

See example of some performance issues related to this in ARROW-9924



--
This message was sent by Atlassian Jira
(v8.3.4#803005)