comphead commented on code in PR #5064:
URL: https://github.com/apache/datafusion-comet/pull/5064#discussion_r3666975917


##########
docs/source/contributor-guide/roadmap.md:
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@@ -85,25 +88,20 @@ Comet's native hash join currently requires the build side 
to fit entirely in me
 support will allow Comet to handle larger joins without falling back to Spark, 
improving both reliability and
 performance for memory-intensive workloads.
 
-## Java/Scala Columnar and Arrow UDF Support
+## Java/Scala UDF Support
 
-Spark users frequently define custom UDFs in Java or Scala. Comet currently 
falls back to Spark when a query
-contains a JVM UDF. Adding support for calling Java/Scala UDFs that operate on 
columnar Arrow data directly
-from native execution will reduce fallbacks and allow more queries to run 
end-to-end in Comet.
+Spark users frequently define custom UDFs in Java or Scala. Comet now 
dispatches scalar `ScalaUDF` expressions
+through a JVM codegen bridge (`CometScalaUDF`) instead of always falling back 
to Spark. Aggregate UDFs, table
+UDFs/generators, Python/Pandas UDFs, and Hive `GenericUDF`/`SimpleUDF` still 
fall back to Spark entirely.
+Extending the codegen-dispatch approach to cover these remaining categories 
will reduce fallbacks further and
+allow more queries to run end-to-end in Comet.
 
 ## Memory Management Improvements
 
 Comet coordinates memory between the JVM and native Rust execution through a 
custom memory pool. Improving
 memory accounting, reservation strategies, and spill integration will reduce 
out-of-memory errors and allow
 Comet to make better use of available resources, especially in multi-query and 
multi-task environments.
 
-## Prepare for 1.0.0 Release
-
-The project is working toward a 1.0.0 release. This effort includes finalizing 
configuration options,
-resolving known correctness issues, and improving documentation. Progress is 
tracked in [#4082].
-
-[#4082]: https://github.com/apache/datafusion-comet/issues/4082
-
 ## Native Parquet Writes

Review Comment:
   Iceberg HDFS reads



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