pingzh commented on issue #5775:
URL: 
https://github.com/apache/datafusion-comet/issues/5775#issuecomment-5672549320

   ## Implementation plan: five smaller PRs
   
   Following the implementation and review in #5785, split the work into five 
focused PRs. Each PR will include its own tests and documentation, with 
benchmarks alongside the behavior they measure.
   
   | PR | Scope |
   | --- | --- |
   | **1. Refactor shared runtime-filter code** | Move join wiring into 
`dynamic_filter_join.rs`, extract the shared Parquet attachment helper, and 
standardize `dynamic_filter_join_*` metrics. Preserve existing filtering 
behavior. |
   | **2. Fix Parquet runtime-filter correctness** | Preserve schema-conversion 
and timestamp-overflow errors; handle missing null statistics conservatively; 
guard static predicates and supplied file statistics. Validate through existing 
join filtering so this is useful independently of TopK. |
   | **3. Fuse local TopK with native scans** | Introduce the fused Spark plan, 
including correct offsets, projections, fallback/reversion, and avoiding a 
redundant final heap for one partition. Include fusion benchmarks. **Keep 
fusion opt-in initially**, given the known slowdown. |
   | **4. Push TopK thresholds into Parquet readers** | Connect the live 
threshold to the reader for supported integer keys. Cover fresh state per 
execution, resets/cancellation, fallback, reader pruning, and attachment 
counters. Include native/Spark correctness tests and filtering benchmarks. |
   | **5. Add TopK residual-filter metrics** | Add evaluated/pruned/bypassed 
row counts and evaluation time. Review the additional filtering pass and 
payload-copying cost separately, using release-build benchmarks. **This is 
optional for delivering reader pruning.** |
   
   ### Dependencies
   
   - **1 → 2**.
   - **3** can proceed independently.
   - **4** requires **2 + 3**.
   - **5** follows **4**.
   
   This separates review of the refactoring, correctness fixes, fusion, reader 
filtering, and extra instrumentation. The correctness safeguards and lifecycle 
coverage must be in place before enabling TopK reader filtering.
   


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