kevinjqliu commented on code in PR #1031:
URL: 
https://github.com/apache/datafusion-python/pull/1031#discussion_r1966029158


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docs/source/contributor-guide/ffi.rst:
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@@ -0,0 +1,212 @@
+.. Licensed to the Apache Software Foundation (ASF) under one
+.. or more contributor license agreements.  See the NOTICE file
+.. distributed with this work for additional information
+.. regarding copyright ownership.  The ASF licenses this file
+.. to you under the Apache License, Version 2.0 (the
+.. "License"); you may not use this file except in compliance
+.. with the License.  You may obtain a copy of the License at
+
+..   http://www.apache.org/licenses/LICENSE-2.0
+
+.. Unless required by applicable law or agreed to in writing,
+.. software distributed under the License is distributed on an
+.. "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+.. KIND, either express or implied.  See the License for the
+.. specific language governing permissions and limitations
+.. under the License.
+
+Python Extensions
+=================
+
+The DataFusion in Python project is designed to allow users to extend its 
functionality in a few core
+areas. Ideally many users would like to package their extensions as a Python 
package and easily
+integrate that package with this project. This page serves to describe some of 
the challenges we face
+when doing these integrations and the approach our project uses.
+
+The Primary Issue
+-----------------
+
+Suppose you wish to use DataFusion and you have a custom data source that can 
produce tables that

Review Comment:
   for example, currently pyiceberg pass data to other engines by materializing 
the arrow table first and then registering the table with the engine 
   
https://github.com/apache/iceberg-python/blob/b95e792d86f551d3705c3ea6b7e9985a2a0aaf3b/pyiceberg/table/__init__.py#L1785-L1828



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