[GitHub] [flink] sunjincheng121 commented on a change in pull request #8907: [FLINK-12722][docs] Adds Python Table API tutorial

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sunjincheng121 commented on a change in pull request #8907: [FLINK-12722][docs] Adds Python Table API tutorial
URL: https://github.com/apache/flink/pull/8907#discussion_r298044099
 
 

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 File path: docs/tutorials/python_table_api.md
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+---
+title: "Python API Tutorial"
+nav-title: Python API
+nav-parent_id: apitutorials
+nav-pos: 10
+---
+<!--
+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.
+-->
+
+* This will be replaced by the TOC
+{:toc}
+
+In this guide we will start from scratch and go from setting up a Flink Python project
+to running a Python Table API program.
+
+## Setting up a Python Project
+
+Firstly, you can fire up your favorite IDE and create a Python project and then
+you need to install the PyFlink package. Please
+see [Build PyFlink]({{ site.baseurl }}/flinkDev/building.html#build-pyflink)
+for more details about this.
+
+## Writing a Flink Python Table API Program
+
+The first step in a Flink Python Table API program is to create a `BatchTableEnvironment`
+(or `StreamTableEnvironment` if you are writing a streaming job). It is the main entrypoint
+for Python Table API jobs.
+
+{% highlight python %}
+exec_env = ExecutionEnvironment.get_execution_environment()
+exec_env.set_parallelism(1)
+t_config = TableConfig()
+t_env = BatchTableEnvironment.create(exec_env, t_config)
+{% endhighlight %}
+
+The `ExecutionEnvironment` (or `StreamExecutionEnvironment` if you are writing a streaming job)
+can be used to set execution parameters, such as the restart strategy, default parallelism, etc.
+
+The `TableConfig` can be used by set the parameters such as the built-in catalog name, the
 
 Review comment:
   `set`->`setting`?

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