kevinjqliu commented on code in PR #1878:
URL: https://github.com/apache/iceberg-python/pull/1878#discussion_r2052857498


##########
pyiceberg/table/upsert_util.py:
##########
@@ -82,14 +82,54 @@ def get_rows_to_update(source_table: pa.Table, 
target_table: pa.Table, join_cols
         ],
     )
 
-    return (
-        source_table
-        # We already know that the schema is compatible, this is to fix large_ 
types
-        .cast(target_table.schema)
-        .join(target_table, keys=list(join_cols_set), join_type="inner", 
left_suffix="-lhs", right_suffix="-rhs")
-        .filter(diff_expr)
-        .drop_columns([f"{col}-rhs" for col in non_key_cols])
-        .rename_columns({f"{col}-lhs" if col not in join_cols else col: col 
for col in source_table.column_names})
-        # Finally cast to the original schema since it doesn't carry 
nullability:
-        # https://github.com/apache/arrow/issues/45557
-    ).cast(target_table.schema)
+    try:
+        return (
+            source_table
+            # We already know that the schema is compatible, this is to fix 
large_ types
+            .cast(target_table.schema)
+            .join(target_table, keys=list(join_cols_set), join_type="inner", 
left_suffix="-lhs", right_suffix="-rhs")
+            .filter(diff_expr)
+            .drop_columns([f"{col}-rhs" for col in non_key_cols])
+            .rename_columns({f"{col}-lhs" if col not in join_cols else col: 
col for col in source_table.column_names})
+            # Finally cast to the original schema since it doesn't carry 
nullability:
+            # https://github.com/apache/arrow/issues/45557
+        ).cast(target_table.schema)
+    except pa.ArrowInvalid:
+        # When we are not able to compare (e.g. due to unsupported types),
+        # fall back to selecting only rows in the source table that do NOT 
already exist in the target.
+        # See: https://github.com/apache/arrow/issues/35785
+        MARKER_COLUMN_NAME = "__from_target"
+        INDEX_COLUMN_NAME = "__source_index"
+
+        if MARKER_COLUMN_NAME in join_cols_set or INDEX_COLUMN_NAME in 
join_cols_set:
+            raise ValueError(
+                f"{MARKER_COLUMN_NAME} and {INDEX_COLUMN_NAME} are reserved 
for joining "
+                f"DataFrames, and cannot be used as column names"
+            ) from None
+

Review Comment:
   > However, Arrow Acero cannot compare certain complex types — like struct, 
list, and map — unless they’re part of the join key
   
   oh nevermind, thats interesting...



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