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Posted to jira@arrow.apache.org by "Antoine Pitrou (Jira)" <ji...@apache.org> on 2020/09/23 15:30:00 UTC
[jira] [Commented] (ARROW-9983) [C++][Dataset][Python] Use larger
default batch size than 32K for Datasets API
[ https://issues.apache.org/jira/browse/ARROW-9983?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17200898#comment-17200898 ]
Antoine Pitrou commented on ARROW-9983:
---------------------------------------
[~bkietz]
> [C++][Dataset][Python] 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
> Priority: Major
> Labels: dataset
> 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
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