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https://issues.apache.org/jira/browse/ARROW-12787?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Arrow JIRA Bot reassigned ARROW-12787:
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Assignee: (was: Miles Granger)
> [Python] pyarrow.compute not consistent on memory_pool usage
> ------------------------------------------------------------
>
> Key: ARROW-12787
> URL: https://issues.apache.org/jira/browse/ARROW-12787
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Python
> Reporter: Weston Pace
> Priority: Major
>
> Generally it seems that pyarrow is pretty consistent about offering an
> optional memory_pool parameter if a function might allocate. However, some
> of the compute work is a little inconsistent...
> pa.Array.unique does not accept a memory_pool
> pa.Array.cast does not accept a memory_pool
> pc.cast does not accept a memory_pool
> pc.count does accept a memory_pool but should it?
> pc.fill_null does not accept a memory_pool
> pc.filter does not accept a memory_pool
> pc.match_substring* does not accept a memory_pool
> pc.mean does accept a memory_pool while pc.mode does not
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