sjwiesman commented on a change in pull request #13193:
URL: https://github.com/apache/flink/pull/13193#discussion_r473290415



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File path: docs/dev/python/user-guide/table/python_table_api_connectors.md
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@@ -0,0 +1,194 @@
+---
+title: "Connectors"
+nav-parent_id: python_tableapi
+nav-pos: 130
+---
+<!--
+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}
+
+This page describes how to use connectors in PyFlink. The main purpose of this 
page is to highlight the different parts between using connectors in PyFlink 
and Java/Scala. Below, we will guide you how to use connectors through an 
explicit example in which Kafka and Json format are used.
+
+<span class="label label-info">Note</span> For the common parts of using 
connectors between PyFlink and Java/Scala, you can refer to the [Java/Scala 
document]({{ site.baseurl }}/dev/table/connectors/index.html) for more details. 
+
+## Download connector and format jars
+
+Suppose you are using Kafka connector and Json format, you need first download 
the [Kafka]({{ site.baseurl }}/dev/table/connectors/kafka.html) and 
[Json](https://repo.maven.apache.org/maven2/org/apache/flink/flink-json/) jars. 
Once the connector and format jars are downloaded to local, specify them with 
the [Dependency Management]({{ site.baseurl 
}}/dev/python/user-guide/table/dependency_management.html) APIs.
+
+{% highlight python %}
+
+table_env.get_config().get_configuration().set_string("pipeline.jars", 
"file:///my/jar/path/connector.jar;file:///my/jar/path/json.jar")
+
+{% endhighlight %}
+
+## How to use connectors
+
+In the Table API of PyFlink, DDL is recommended to define source and sink. You 
can use the `execute_sql()` method on `TableEnvironment` to register source and 
sink with DDL. After that, you can select from the source table and insert into 
the sink table.

Review comment:
       Yes, that's better




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