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https://issues.apache.org/jira/browse/ARROW-11068?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andy Grove updated ARROW-11068:
-------------------------------
Description:
Once [https://github.com/apache/arrow/pull/9043] is merged, we should extend
this to wrap HashJoinExec and HashAggregateExec as well since they can both
produce small batches.
Rather than hard-code a list of operators that need to be wrapped, we should
find a more generic mechanism so that plans can declare if their input and/or
output batches should be coalesced (similar to how we handle partitioning) and
this would allow custom operators outside of DataFusion to benefit from this
optimization.
was:
Once [https://github.com/apache/arrow/pull/9043] is merged, we should extend
this to wrap join output as well.
Rather than hard-code a list of operators that need to be wrapped, we should
find a more generic mechanism so that plans can declare if their input and/or
output batches should be coalesced (similar to how we handle partitioning) and
this would allow custom operators outside of DataFusion to benefit from this
optimization.
> [Rust] [DataFusion] Wrap more operators in CoalesceBatchExec
> ------------------------------------------------------------
>
> Key: ARROW-11068
> URL: https://issues.apache.org/jira/browse/ARROW-11068
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Rust - DataFusion
> Reporter: Andy Grove
> Assignee: Andy Grove
> Priority: Major
> Fix For: 3.0.0
>
>
> Once [https://github.com/apache/arrow/pull/9043] is merged, we should extend
> this to wrap HashJoinExec and HashAggregateExec as well since they can both
> produce small batches.
> Rather than hard-code a list of operators that need to be wrapped, we should
> find a more generic mechanism so that plans can declare if their input and/or
> output batches should be coalesced (similar to how we handle partitioning)
> and this would allow custom operators outside of DataFusion to benefit from
> this optimization.
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