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Posted to issues@flink.apache.org by GitBox <gi...@apache.org> on 2019/06/22 04:13:44 UTC

[GitHub] [flink] wuchong commented on a change in pull request #8750: [FLINK-11606] Translate the "Distributed Runtime Environment" page in to Chinese

wuchong commented on a change in pull request #8750: [FLINK-11606] Translate the "Distributed Runtime Environment" page in to Chinese
URL: https://github.com/apache/flink/pull/8750#discussion_r296433176
 
 

 ##########
 File path: docs/concepts/runtime.zh.md
 ##########
 @@ -26,102 +26,74 @@ under the License.
 * This will be replaced by the TOC
 {:toc}
 
-## Tasks and Operator Chains
+## 任务和算子链
 
-For distributed execution, Flink *chains* operator subtasks together into *tasks*. Each task is executed by one thread.
-Chaining operators together into tasks is a useful optimization: it reduces the overhead of thread-to-thread
-handover and buffering, and increases overall throughput while decreasing latency.
-The chaining behavior can be configured; see the [chaining docs](../dev/stream/operators/#task-chaining-and-resource-groups) for details.
+分布式计算中,Flink 将算子(operator)的 subtask *链接(chain)*成 task。每个 task 由一个线程执行。把算子链接成 tasks 是一个很好的优化:它减少了线程间切换和缓冲的开销,并在降低延迟的同时提高了整体吞吐量。链接操作的配置详情可参考:[chaining docs](../dev/stream/operators/#task-chaining-and-resource-groups)
 
-The sample dataflow in the figure below is executed with five subtasks, and hence with five parallel threads.
+下图的 dataflow 由五个 subtasks 执行,因此具有五个并行线程。
 
 <img src="{{ site.baseurl }}/fig/tasks_chains.svg" alt="Operator chaining into Tasks" class="offset" width="80%" />
 
 {% top %}
 
-## Job Managers, Task Managers, Clients
+## Job Managers、Task Managers、客户端(Clients)
 
 Review comment:
   I don't think so too.

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