dianfu commented on a change in pull request #10017: [FLINK-14019][python] add 
support for managing environment and dependencies of Python UDF in Flink Python 
API
URL: https://github.com/apache/flink/pull/10017#discussion_r348868115
 
 

 ##########
 File path: flink-python/pyflink/table/table_config.py
 ##########
 @@ -274,6 +275,64 @@ def set_sql_dialect(self, sql_dialect):
         """
         
self._j_table_config.setSqlDialect(SqlDialect._to_j_sql_dialect(sql_dialect))
 
+    def set_python_executable(self, python_exec):
+        """
+        Set the path of the python interpreter for running the python udf on 
workers.
+
+        e.g. "/usr/local/bin/python3".
+
+        If python UDFs need to run in a specific python environment and the 
environment is not
+        exist on cluster, this method 
:func:`pyflink.table.TableEnvironment.add_python_archive`
+        can be used to upload the packaged environment.
+        Then the python interpreter path of the uploaded environment can be 
specified
+        via this method.
+
+        Example:
+        ::
+
+            # command executed in shell
+            # assert the relative path of python interpreter is 
py_env/bin/python
+            $ zip -r py_env.zip py_env
+
+            # python code
+            >>> table_env.add_python_archive("py_env.zip", "myenv")
+            >>> 
table_env.get_config().set_python_executable("myenv/py_env/bin/python")
+
+            # the files in archive is also accessible in UDF
 
 Review comment:
   This example can be removed as it has nothing to do with this interface. 
What do you think?

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