andygrove opened a new issue, #4110:
URL: https://github.com/apache/datafusion-comet/issues/4110

   ## Triage summary for 2026-04-27
   
   Triaged **19** open issues that carried `requires-triage`. Labels have 
already been applied; please spot-check below and close this issue when 
satisfied. Any individual relabel can be done directly on the affected issue.
   
   Triage criteria come from 
[`docs/source/contributor-guide/bug_triage.md`](../blob/main/docs/source/contributor-guide/bug_triage.md).
 Most issues in this batch are enhancement requests rather than bugs; the 
priority decision tree is bug-focused, so enhancement priorities reflect 
judgment about user impact and urgency relative to the priority descriptions in 
the guide (low = tooling/cosmetic/process; medium = functional gap with 
workaround; high = crash/major breakage; critical = silent wrong results).
   
   ### Counts by priority applied
   
   | Priority | Count |
   | --- | --- |
   | `priority:critical` | 0 |
   | `priority:high` | 1 |
   | `priority:medium` | 6 |
   | `priority:low` | 12 |
   
   `good first issue` applied: 3.
   
   ### Triaged
   
   | Issue | Priority | Areas | GFI | Rationale |
   | --- | --- | --- | --- | --- |
   | #4005 | medium | (none) | no | EPIC tracking broad planner improvements; 
cross-cutting impact on perf/correctness puts this above tooling but it is 
umbrella scope, so not high. |
   | #4006 | low | (none) | no | Internal API enhancement to distinguish info 
vs fallback messages; no user-visible bug, fits "tooling" tier. |
   | #4007 | medium | `area:aggregation` | no | Functional gap with possible 
correctness issues, but windowed aggregates are disabled by default so users 
are not silently affected. See escalation note. |
   | #4020 | low | `area:scan`, `native_iceberg_compat` | no | Internal 
refactor / cleanup; no user-visible bug. |
   | #4027 | low | (existing `spark 4`) | no | Forward-port to next Spark 4.0.x 
patch; routine dependency bump. |
   | #4045 | medium | `area:scan`, `area:shuffle` | no | Functional bug: 
Comet+vanilla mismatch breaks `ReusedExchangeExec` under AQE+DPP. Has 
workaround (disable AQE), fits medium. |
   | #4050 | low | (none) | no | Process / tooling enhancement for audit 
reporting. |
   | #4054 | low | (existing `spark 4`) | no | Build-profile default change 
discussion; no user-visible bug. |
   | #4059 | low | `area:ci`, `spark 4` | yes | Add Java 21 row to CI matrix; 
well-scoped YAML change, contributor docs update. |
   | #4069 | low | `area:expressions` | no | Exploratory: try DataFusion lambda 
functions in Comet. Tooling/research scope. |
   | #4074 | medium | `area:expressions` | no | Mix of expression support-level 
fixes. One sub-item (CometStringRepeat does not fall back for incompatibility) 
is potentially correctness; see escalation note. |
   | #4081 | low | (none) | no | Release planning for 0.16.0; tracking/process. 
|
   | #4094 | low | (none) | no | Release planning for 0.15.1; tracking/process. 
|
   | #4096 | medium | `spark 4` | no | Functional gap: Spark 4.1 introduces 
`OneRowRelationExec` causing ~30 sql-file test fallbacks. Workaround = run on 
Spark 4.0. |
   | #4098 | high | `spark 4` | no | Tracking issue for four Spark 4.1 failure 
clusters; includes potential silent-wrong-results bloom filter mismatch. See 
escalation note. |
   | #4099 | low | (none) | no | Cosmetic / branding update; fits the 
"cosmetic" tier of `priority:low`. |
   | #4101 | low | `area:ci`, `area:Iceberg` | yes | CI cost optimization; 
scoped YAML matrix edit. |
   | #4102 | low | `area:ci` | yes | CI cost optimization; scoped YAML matrix 
edit. |
   | #4107 | low | `spark 4` | no | Internal refactor of 4.0/4.1 shims after 
4.1 stabilizes; no user impact. |
   
   ### Escalations to consider
   
   - **#4098 (Spark 4.1 CI failures)** — One cluster (bloom filter result 
mismatch) produces different `might_contain` results between Comet and Spark, 
i.e. silent wrong results. Per the guide's "correctness over crashes" principle 
this would normally warrant `priority:critical`, but Spark 4.1 is not yet a 
supported target so users are not exposed today. Worth splitting that cluster 
into its own `priority:critical` issue once Spark 4.1 support lands.
   - **#4074** — The CometStringRepeat sub-item ("incompatibility that we do 
not fall back for") could produce silent wrong results on the relevant inputs; 
if confirmed, escalate that sub-item to `priority:critical` and split into its 
own issue.
   - **#4007** — Title says "fix correctness issues"; if the underlying 
correctness issues are present even when windowed aggregates are explicitly 
enabled by users, this should escalate to `priority:high` (or 
`priority:critical` if results are silently wrong).
   


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