libenchao commented on a change in pull request #11423: 
[Flink-16083][chinese-translation]Translate "Dynamic Table" page of "…
URL: https://github.com/apache/flink/pull/11423#discussion_r393417505
 
 

 ##########
 File path: docs/dev/table/streaming/dynamic_tables.zh.md
 ##########
 @@ -22,135 +22,135 @@ specific language governing permissions and limitations
 under the License.
 -->
 
-SQL and the relational algebra have not been designed with streaming data in 
mind. As a consequence, there are few conceptual gaps between relational 
algebra (and SQL) and stream processing.
+SQL 和关系代数的在设计时并未考虑流数据。因此,在关系代数(和 SQL)之间几乎没有概念上的差异。
 
-This page discusses these differences and explains how Flink can achieve the 
same semantics on unbounded data as a regular database engine on bounded data.
+本文会讨论这种差异,并介绍 Flink 如何在无界数据集上实现与数据库引擎在无界数据上实现的相同的语义,
 
 * This will be replaced by the TOC
 {:toc}
 
-Relational Queries on Data Streams
+DataStream 上的关系查询
 ----------------------------------
 
-The following table compares traditional relational algebra and stream 
processing with respect to input data, execution, and output results.
+下表比较了传统的关系代数和流处理与输入数据、执行和输出结果的关系。
 
 <table class="table table-bordered">
        <tr>
-               <th>Relational Algebra / SQL</th>
-               <th>Stream Processing</th>
+               <th>关系代数 / SQL</th>
+               <th>流处理</th>
        </tr>
        <tr>
-               <td>Relations (or tables) are bounded (multi-)sets of 
tuples.</td>
-               <td>A stream is an infinite sequences of tuples.</td>
+               <td>关系(或表)是有界(多)元组集合。</td>
+               <td>流是一个无限元组序列。</td>
        </tr>
        <tr>
-               <td>A query that is executed on batch data (e.g., a table in a 
relational database) has access to the complete input data.</td>
-               <td>A streaming query cannot access all data when it is started 
and has to "wait" for data to be streamed in.</td>
+               <td>对批数据(例如关系数据库中的表)执行的查询可以访问完整的输入数据。</td>
+               <td>流式查询在启动时不能访问所有数据,必须“等待”数据流入。</td>
        </tr>
        <tr>
-               <td>A batch query terminates after it produced a fixed sized 
result.</td>
-               <td>A streaming query continuously updates its result based on 
the received records and never completes.</td>
+               <td>批处理查询在产生固定大小的结果后终止。</td>
+               <td>流查询不断地根据接收到的记录更新其结果,并且始终不会完成。</td>
 
 Review comment:
   不会完成 -> 不会结束

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