mustafasrepo commented on code in PR #6034:
URL: https://github.com/apache/arrow-datafusion/pull/6034#discussion_r1175568710
##########
datafusion-examples/examples/custom_datasource.rs:
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@@ -217,7 +217,7 @@ impl ExecutionPlan for CustomExec {
datafusion::physical_plan::Partitioning::UnknownPartitioning(1)
}
- fn output_ordering(&self) -> Option<&[PhysicalSortExpr]> {
+ fn output_ordering(&self) -> Option<Vec<PhysicalSortExpr>> {
Review Comment:
> ~Why does this signature need to change? The new signature requires an
allocation / `clone` of a Vec where the previous one didn't and thus this seems
to change the API for the worse.~
>
> Update: this is explained in the PR description:
>
> > This functionality requires us to calculate output_ordering dynamically.
For this reason, this PR accompanies the api change from fn
output_ordering(&self) -> Option<&[PhysicalSortExpr]> to fn
output_ordering(&self) -> Option<Vec>. To support dynamic calculation of the
output ordering. See the corresponding
[synnada-ai#78](https://github.com/synnada-ai/arrow-datafusion/pull/78) for
more information.
>
> The linked PR [synnada-ai#78
(comment)](https://github.com/synnada-ai/arrow-datafusion/pull/78#issue-1657633081)
says that the issue is related to the AggregateExec changing during
optimization, which I don't understand -- if the input changes then a new
AggregateExec is also created
As you say, this approach may be unnecessary. Initially I thought,
information during the construction of the `AggregateExec` may change during
planning, this would make us produce sub-optimal plans. However, when input
changes new `AggregateExec` is also created, and we have all the information
necessary. I will discuss it with our team, whether we lose any functionality
with old API( probably we are not). After that discussion I will do the
necessary changes. Thanks for pointing it out
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