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https://issues.apache.org/jira/browse/SPARK-59256?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-59256:
-----------------------------------
    Labels: pull-request-available  (was: )

> Remove createPartitioning and numPartitions from ShuffleSpecCollection
> ----------------------------------------------------------------------
>
>                 Key: SPARK-59256
>                 URL: https://issues.apache.org/jira/browse/SPARK-59256
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 5.0.0
>            Reporter: Peter Toth
>            Priority: Major
>              Labels: pull-request-available
>
> `ShuffleSpecCollection` answers two different kinds of question with one type.
> * *Matching*: `isCompatibleWith` succeeds when **any** member matches. That 
> is a collection-level question and it is the reason the type exists.
> * *Shuffle template*: `createPartitioning` and `numPartitions` need **one** 
> member, and the collection picks `specs.head` - whichever member the alias 
> cross-product enumerated first.
> The second answer is a guess. Which member is right depends on what the 
> *other* side matched, and that is not knowable inside the collection.
> SPARK-59080 fixed the consequence: `EnsureRequirements` now resolves the 
> agreed member itself and calls `createPartitioning` on that member, so the 
> collection is never asked. This ticket removes the ability to ask.
> h3. What changes
> Split the trait so that the shuffle-template contract is a separate type, and 
> `ShuffleSpecCollection` carries only `isCompatibleWith`.
> * `createPartitioning` leaves the collection. After SPARK-59080 it has no 
> production caller, and the only thing standing between a future caller and a 
> wrong partitioning is a runtime `require`. The compiler should enforce that 
> instead.
> * `numPartitions` leaves the collection. Its consumers get an answer that 
> does not read an arbitrary member:
> ** `EnsureRequirements`, `finalCandidateSpecs.values.maxBy(_.numPartitions)`, 
> which ranks the children to pick the reference layout. A head that 
> understates the count makes a child lose that ranking, so the join lands on a 
> coarser layout: an extra shuffle or less parallelism, never wrong results.
> ** `SinglePartitionShuffleSpec.isCompatibleWith`, which reads 
> `other.numPartitions == 1`. Reached from `ValidateRequirements`, where 
> `specs.tail.forall(_.isCompatibleWith(specs.head))` can put a collection on 
> the right-hand side. A collection whose head projects to one partition while 
> another member does not then answers on the head's authority.
> Neither consumer is measured, and I could not build a query that reaches the 
> second one.
> h3. Scope
> Master only. No user-facing change and no known bug, so there is nothing to 
> backport. The behavioural part is limited to the ranking answer; everything 
> else is a type move.



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