viirya commented on PR #55839:
URL: https://github.com/apache/spark/pull/55839#issuecomment-5163020864

   Following up on the efficiency point — one refinement worth calling out for 
the follow-up: the more impactful part isn't just the O(n^2) CPU, it's that 
`removeStageFromCache`'s full `stageCache` scan runs *inside* 
`withStageLifecycleLock` (once per obsolete stage), and that same lock guards 
the exchange-reuse path in `createNonResultQueryStages`. So a many-exchange 
replan lengthens the critical section and makes concurrent 
subquery/exchange-reuse acquisitions wait longer, not just burn driver CPU.
   
   (Minor precision: the `newStages.exists(...)` filter itself is outside the 
lock — it's the per-obsolete-stage full-cache scan that's inside it.)
   
   So the cleanest fix is to precompute the retained ids / 
shared-`resultOption` identities and the set of cache keys to drop *outside* 
the lock, and inside the lock do only the minimal mutation (remove the 
precomputed keys + cancel) in a single pass. Still non-blocking — just noting 
the lock-contention angle so the follow-up targets the critical section, not 
only the asymptotics.
   


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