comphead commented on code in PR #5368:
URL: https://github.com/apache/datafusion-comet/pull/5368#discussion_r3883490357


##########
docs/source/user-guide/latest/pyarrow-udfs.md:
##########
@@ -203,18 +203,14 @@ on the unoptimized path.
   session time zone such a UDF can diverge from the unoptimized path. Set
   `spark.comet.exec.pyarrowUDF.enabled=false` for those UDFs.
 - `spark.sql.execution.arrow.useLargeVarTypes=true` is not supported. With 
this conf enabled,
-  Spark widens `StringType` and `BinaryType` to Arrow's 8-byte-offset variants 
in the
-  destination IPC root, while Comet's source vectors always use 4-byte 
offsets. The buffer-copy
-  path cannot bridge that mismatch, so `EliminateRedundantTransitions` skips 
the rewrite and
-  vanilla Spark handles the operation.
-- Each batch is copied twice on the JVM side: once from Comet's vectors into 
Spark's
-  destination IPC root (per-buffer `setBytes`), and a second time inside the 
IPC writer when
-  `VectorUnloader` / `MessageSerializer.serialize` walks the root and writes 
bytes to the
-  pipe to the Python worker. The pipe write is structural (Spark's transport 
to Python is
-  fork + pipe + Arrow IPC, so the buffer bytes must reach the pipe at least 
once); dropping
-  the first copy by serialising directly from Comet's vectors is tracked in
-  [#4294](https://github.com/apache/datafusion-comet/issues/4294). Even after 
that,
-  true zero-copy at the JVM boundary is blocked because Comet's source 
`FieldVector`s are
-  imported from native via Arrow C Data Interface (their buffers route 
`release` through FFI),
-  while Spark's destination IPC root is a child of `ArrowUtils.rootAllocator`. 
The two
-  reference managers cannot share buffers via `TransferPair`.
+  Spark supplies `large_string` and `large_binary` input columns with 8-byte 
offsets. Native

Review Comment:
   mmm, does that mean we need to map `large_string` to `LargeStringArray` in 
native? 



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