Fokko commented on code in PR #1669:
URL: https://github.com/apache/iceberg-python/pull/1669#discussion_r1959939976


##########
pyiceberg/io/pyarrow.py:
##########
@@ -1573,11 +1561,16 @@ def _table_from_scan_task(task: FileScanTask) -> 
pa.Table:
 
         tables = [f.result() for f in completed_futures if f.result()]
 
+        arrow_schema = schema_to_pyarrow(self._projected_schema, 
include_field_ids=False)
+
         if len(tables) < 1:
-            return pa.Table.from_batches([], 
schema=schema_to_pyarrow(self._projected_schema, include_field_ids=False))
+            return pa.Table.from_batches([], schema=arrow_schema)
 
         result = pa.concat_tables(tables, promote_options="permissive")
 
+        if property_as_bool(self._io.properties, 
PYARROW_USE_LARGE_TYPES_ON_READ, False):
+            result = result.cast(arrow_schema)

Review Comment:
   I left this in, but I would be leaning toward deprecating this, since I 
don't think we want to trouble the user. I think it should be an implementation 
detail based on how large the total buffers are.



##########
pyiceberg/io/pyarrow.py:
##########
@@ -1573,11 +1561,16 @@ def _table_from_scan_task(task: FileScanTask) -> 
pa.Table:
 
         tables = [f.result() for f in completed_futures if f.result()]
 
+        arrow_schema = schema_to_pyarrow(self._projected_schema, 
include_field_ids=False)
+
         if len(tables) < 1:
-            return pa.Table.from_batches([], 
schema=schema_to_pyarrow(self._projected_schema, include_field_ids=False))
+            return pa.Table.from_batches([], schema=arrow_schema)
 
         result = pa.concat_tables(tables, promote_options="permissive")
 
+        if property_as_bool(self._io.properties, 
PYARROW_USE_LARGE_TYPES_ON_READ, False):
+            result = result.cast(arrow_schema)

Review Comment:
   I left this in, but I would be leaning toward deprecating this, since I 
don't think we want to trouble the user. I think it should be an implementation 
detail based on how large the buffers are.



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