Add online documentation about using custom table providers

docs/source/user-guide/io/index.rst

@@ -26,3 +26,4 @@ IO
    csv
    json
    parquet
+   table_provider

docs/source/user-guide/io/table_provider.rst

@@ -0,0 +1,56 @@
+.. 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.
+
+Custom Table Provider
+=====================
+
+If you have a custom data source that you want to integrate with DataFusion, you can do so by
+implementing the `TableProvider <https://datafusion.apache.org/library-user-guide/custom-table-providers.html>`_
+interface in Rust and then exposing it in Python. To do so,
+you must use DataFusion 43.0.0 or later and expose a `FFI_TableProvider <https://crates.io/crates/datafusion-ffi>`_
+via `PyCapsule <https://pyo3.rs/main/doc/pyo3/types/struct.pycapsule>`_.
+
+A complete example can be found in the `examples folder <https://github.com/apache/datafusion-python/tree/main/examples>`_.
+
+.. code-block:: rust
+
+    #[pymethods]
+    impl MyTableProvider {
+
+        fn __datafusion_table_provider__<'py>(
+            &self,
+            py: Python<'py>,
+        ) -> PyResult<Bound<'py, PyCapsule>> {
+            let name = CString::new("datafusion_table_provider").unwrap();
+
+            let provider = Arc::new(self.clone())
+                .map_err(|e| PyRuntimeError::new_err(e.to_string()))?;
+            let provider = FFI_TableProvider::new(Arc::new(provider), false);
+
+            PyCapsule::new_bound(py, provider, Some(name.clone()))
+        }
+    }
+
+Once you have this library available, in python you can register your table provider
+to the ``SessionContext``.
+
+.. code-block:: python
+
+    provider = MyTableProvider()
+    ctx.register_table_provider("my_table", provider)
+
+    ctx.table("my_table").show()