GOODBOY008 commented on a change in pull request #16627:
URL: https://github.com/apache/flink/pull/16627#discussion_r679684892
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File path: docs/content.zh/docs/ops/batch/blocking_shuffle.md
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@@ -27,63 +27,63 @@ under the License.
# Blocking Shuffle
-## Overview
+## 总览
-Flink supports a batch execution mode in both [DataStream API]({{< ref
"docs/dev/datastream/execution_mode" >}}) and [Table / SQL]({{< ref
"/docs/dev/table/overview" >}}) for jobs executing across bounded input. In
this mode, network exchanges occur via a blocking shuffle. Unlike the pipeline
shuffle used for streaming applications, blocking exchanges persists data to
some storage. Downstream tasks then fetch these values via the network. Such an
exchange reduces the resources required to execute the job as it does not need
the upstream and downstream tasks to run simultaneously.
+Flink 在使用 [DataStream API]({{< ref "docs/dev/datastream/execution_mode" >}}) 和
[Table / SQL]({{< ref "/docs/dev/table/overview" >}})
都支持批处理执行模式，这用于任务处理有界输入流。使用此模式通过 blocking shuffle 来网络传输。不同于在流式应用使用管道
shuffle，阻塞交换的数据并存储.然后下游任务通过网络获取这些值。这种交换减少了执行作业所需的资源，因为它不需要同时运行上游和下游任务。
Review comment:
3 ”使用此模式通过 blocking shuffle 来网络传输“->"此模式是通过 blocking shuffle 进行网络传输。 "
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