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https://issues.apache.org/jira/browse/ARROW-9983?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ben Kietzman resolved ARROW-9983.
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Assignee: Ben Kietzman
Resolution: Fixed
> [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
> Assignee: Ben Kietzman
> 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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