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[GitHub] [spark] gengliangwang commented on a change in pull request #29639: [SPARK-32186][DOCS][PYTHON] Development - Debugging

gengliangwang commented on a change in pull request #29639:
URL: https://github.com/apache/spark/pull/29639#discussion_r483723369



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File path: python/docs/source/development/debugging.rst
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+..  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.
+
+=================
+Debugging PySpark
+=================
+
+PySpark uses Spark as an engine. If a PySpark application does not require interaction
+between Python workers and JVMs, Python workers are not launched. They are lazily launched only when
+Python native functions or data have to be handled, for example, when you execute pandas UDFs or
+PySpark RDD APIs.
+
+This page describes how to debug such Python applications and workers instead of focusing on debugging with JVM.
+Profiling and debugging JVM is described at `Useful Developer Tools <https://spark.apache.org/developer-tools.html>`_.
+
+
+Remote Debugging (PyCharm Professional)
+---------------------------------------
+
+In order to debug the Python workers remotely, you should connect from the Python worker to the debug server in PyCharm.
+This section describes remote debugging within a single machine to demonstrate easily.
+In order to debug PySpark applications on other machines, please refer to the full instructions that are specific
+to PyCharm, documented `here <https://www.jetbrains.com/help/pycharm/remote-debugging-with-product.html>`_.
+
+Firstly, choose **Edit Configuration...** from the **Run** menu. It opens the Run/debug Configurations dialog.

Review comment:
       Nit: **Run/Debug Configurations**




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