peterxcli opened a new pull request, #5888:
URL: https://github.com/apache/datafusion-comet/pull/5888

   ## Which issue does this PR close?
   
   Closes #4992.
   
   ## Rationale for this change
   
   Iceberg append micro-batches and batch changelog queries cannot currently 
use Comet throughout their data-processing path. This adds experimental native 
execution while reusing Spark/Iceberg planning and recovery.
   
   ## What changes are included in this PR?
   
   - Read Spark 4.x Iceberg micro-batches using the source's offset-bounded 
tasks, preserving progress and checkpoint restart. Enable compatible native 
aggregate computation around Spark state-store boundaries.
   - Read `.changes` tasks with the existing native Iceberg reader and process 
carry-over removal, update images, and net changes in Rust through 
`create_changelog_view`.
   - Add opt-in configuration, documentation, and CI coverage. Retain fallback 
for unsupported scans, state buffers, CDC value types, and procedure closure 
layouts.
   
   Spark retains offsets, persistent state, and sink commits. Streaming 
joins/deduplication remain in Spark. Batch CDC retains Iceberg's restriction on 
MOR changes involving delete manifests; this does not add a streaming CDC 
source.
   
   ## How are these changes tested?
   
   17 integration tests passed against Polaris and RustFS with Spark 4.1.3 / 
Iceberg 1.11.0. They assert native execution and Spark-equivalent results for 
COW V1/V2/V3 CDC, snapshot/timestamp bounds, integrity queries, and streaming 
checkpoint/retry behavior. The same 17 tests passed with the local catalog 
after rebasing onto current main. Three Rust CDC tests, Clippy, Scala 
formatting, and style checks also passed.
   


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