LinSimon-901101 opened a new pull request, #6381:
URL: https://github.com/apache/datafusion-comet/pull/6381

   ## Which issue does this PR close?
   
   Closes #6378.
   
   ## Rationale for this change
   
   The cache pruning predicates added in #6262 do not exercise integer min/max 
boundaries. An integer upper bound that is one too small can therefore pass all 
three writer cases.
   
   ## What changes are included in this PR?
   
   Add `n = 5` to the shared predicate list. This value equals both bounds of 
its fixture batch, so the existing assertions check IDs 20–23 and exactly one 
four-row batch across native Arrow, Spark columnar, and row input.
   
   ## How are these changes tested?
   
   - Rebuilt the native library on main at `4ca04b155` and ran 
`CometInMemoryCacheSuite`, `CometInMemoryCacheKryoSuite`, and 
`CometInMemoryCachePruningSuite` on Spark 4.1.3 / JDK 21: 61 passed, 0 failed, 
0 canceled. Spotless and Scalastyle passed.
   - Fault injection on #6262's head: reducing the integer upper bound by one 
leaves the original three writer tests passing, while adding `n = 5` makes all 
three fail with missing IDs 20–23. The serializer was restored before the 
successful normal test runs.
   


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