Rebuild website

content/roadmap.html

@@ -338,6 +338,15 @@ <h1 id="ecosystem">Ecosystem</h1>
 <p>There is a broad effort to integrate Flink with the Hive Ecosystem, including
 metastore and Hive UDF support <a href="https://issues.apache.org/jira/browse/FLINK-10556">FLINK-10556</a>.</p>
 
+<p>There is also a big effort to support Python for Table API <a href="https://cwiki.apache.org/confluence/display/FLINK/FLIP-38%3A+Python+Table+API">FLIP-38</a>.
+We will divide the work into following stages:</p>
+
+<ul>
+  <li>Translate Python Table API queries without UDFs to Java and run them completely in Java for the first step.</li>
+  <li>Add support for User-defined functions(Scalar Function/Table Function/Aggregate Function) in the second step.</li>
+  <li>Integrating Pandas as the final effort, i.e., functions in Pandas can be used in Python Table API directly.</li>
+</ul>
+
 <h1 id="connectors--formats">Connectors &amp; Formats</h1>
 
 <p>Support for additional connectors and formats is a continuous process.</p>

content/zh/roadmap.html

@@ -278,6 +278,15 @@ <h1 id="section-4">生态系统</h1>
 
 <p>还有一个巨大的工作是将 Flink 与 Hive 生态系统集成。包括 Metastore 和 Hive UDF 支持 <a href="https://issues.apache.org/jira/browse/FLINK-10556">FLINK-10556</a>。</p>
 
+<p>社区在Table API支持Python方面也做出了很多的努力 <a href="https://cwiki.apache.org/confluence/display/FLINK/FLIP-38%3A+Python+Table+API">FLIP-38</a>。
+我们将工作分为以下几个阶段:</p>
+
+<ul>
+  <li>首先以将Python Table API 直译为Java Table API的方式支持用户编写没有UDFs(标量函数/表值函数/聚合函数)的Python Table API程序。</li>
+  <li>增加对UDFs(标量函数/表值函数/聚合函数)在Python Table API的支持。</li>
+  <li>最后将Pandas与Python Table API进行集成，Pandas中的函数可以在Python Table API中直接使用。</li>
+</ul>
+
 <h1 id="connectors--formats">Connectors &amp; Formats</h1>
 
 <p>支持额外的 connectors 和 formats 是一个持续的过程。</p>