liyubin117 commented on code in PR #23666:
URL: https://github.com/apache/flink/pull/23666#discussion_r1390667818
##########
docs/content.zh/docs/dev/datastream/dataset_migration.md:
##########
@@ -62,44 +58,45 @@ The first step of migrating an application from DataSet API
to DataStream API is
<tr>
<td>
{{< highlight "java" >}}
-// Create the execution environment
+// 创建执行环境
ExecutionEnvironment.getExecutionEnvironment();
-// Create the local execution environment
+// 创建本地执行环境
ExecutionEnvironment.createLocalEnvironment();
-// Create the collection environment
+// 创建 collection 环境
new CollectionEnvironment();
-// Create the remote environment
+// 创建远程执行环境
ExecutionEnvironment.createRemoteEnvironment(String host, int port, String...
jarFiles);
{{< /highlight >}}
</td>
<td>
{{< highlight "java" >}}
-// Create the execution environment
+// 创建执行环境
StreamExecutionEnvironment.getExecutionEnvironment();
-// Create the local execution environment
+// 创建本地执行环境
StreamExecutionEnvironment.createLocalEnvironment();
-// The collection environment is not supported.
-// Create the remote environment
+// 不支持 collection 环境
+// 创建远程执行环境
StreamExecutionEnvironment.createRemoteEnvironment(String host, int port,
String... jarFiles);
{{< /highlight >}}
</td>
</tr>
</tbody>
</table>
-Unlike DataSet, DataStream supports processing on both bounded and unbounded
data streams. Thus, user needs to explicitly set the execution mode
-to `RuntimeExecutionMode.BATCH` if that is expected.
+与 DataSet 不同，DataStream 支持对有界和无界数据流进行处理。
+
+如果需要的话，用户可以显式地将执行模式设置为 `RuntimeExecutionMode.BATCH`。
```java
StreamExecutionEnvironment executionEnvironment = // [...];
executionEnvironment.setRuntimeMode(RuntimeExecutionMode.BATCH);
```
-## Using the streaming sources and sinks
+## 流读和流写
Review Comment:
more clear indeed :)
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: issues-unsubscr...@flink.apache.org
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org
