[GitHub] [flink] R-CodeBoy commented on a change in pull request #8943: [FLINK-11637][doc-zh]Translate Checkpoints page into Chinese

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R-CodeBoy commented on a change in pull request #8943: [FLINK-11637][doc-zh]Translate Checkpoints page into Chinese
URL: https://github.com/apache/flink/pull/8943#discussion_r299787675
 
 

 ##########
 File path: docs/ops/state/checkpoints.zh.md
 ##########
 @@ -26,69 +26,49 @@ under the License.
 * toc
 {:toc}
 
-## Overview
+## 概述
+checkpoint使Flink的状态具有良好的容错性，通过checkpoint机制，Flink可以对作业的状态和计算位置进行恢复，因此Flink作业具备高容错执行语义。
 
-Checkpoints make state in Flink fault tolerant by allowing state and the
-corresponding stream positions to be recovered, thereby giving the application
-the same semantics as a failure-free execution.
+参考[Checkpointing]({{ site.baseurl }}/dev/stream/state/checkpointing.html)查看如何在Flink程序中开启和配置checkpoint。
 
-See [Checkpointing]({{ site.baseurl }}/dev/stream/state/checkpointing.html) for how to enable and
-configure checkpoints for your program.
+## 保留Checkpoint
 
-## Retained Checkpoints
-
-Checkpoints are by default not retained and are only used to resume a
-job from failures. They are deleted when a program is cancelled.
-You can, however, configure periodic checkpoints to be retained.
-Depending on the configuration these *retained* checkpoints are *not*
-automatically cleaned up when the job fails or is canceled.
-This way, you will have a checkpoint around to resume from if your job fails.
+checkpoint在默认的情况下仅用于恢复失败的作业，并不作保留，当程序取消时checkpoint就会被删除。当然，你可以配置周期性的策略来保留checkpoint。根据以下配置，这些保留的checkpoint在作业失败或取消时不会自动清除。这样，你就可以使用该checkpoint来恢复失败的作业。
 
 {% highlight java %}
 CheckpointConfig config = env.getCheckpointConfig();
 config.enableExternalizedCheckpoints(ExternalizedCheckpointCleanup.RETAIN_ON_CANCELLATION);
 {% endhighlight %}
 
-The `ExternalizedCheckpointCleanup` mode configures what happens with checkpoints when you cancel the job:
-
-- **`ExternalizedCheckpointCleanup.RETAIN_ON_CANCELLATION`**: Retain the checkpoint when the job is cancelled. Note that you have to manually clean up the checkpoint state after cancellation in this case.
-
-- **`ExternalizedCheckpointCleanup.DELETE_ON_CANCELLATION`**: Delete the checkpoint when the job is cancelled. The checkpoint state will only be available if the job fails.
+`ExternalizedCheckpointCleanup`配置项定义了当作业取消时，对作业checkpoint的操作：
+- **`ExternalizedCheckpointCleanup.RETAIN_ON_CANCELLATION`**：当作业取消时，保留作业的checkpoint。注意，这种情况下，需要手动清除该作业的checkpoint。
+- **`ExternalizedCheckpointCleanup.DELETE_ON_CANCELLATION`**：当作业取消时，删除作业的checkpoint。仅当作业失败时，作业的checkpoint才会被启用。
 
-### Directory Structure
+### 目录结构
 
-Similarly to [savepoints](savepoints.html), a checkpoint consists
-of a meta data file and, depending on the state backend, some additional data
-files. The meta data file and data files are stored in the directory that is
-configured via `state.checkpoints.dir` in the configuration files, 
-and also can be specified for per job in the code.
+与[savepoints](savepoints.html)相似，checkpoint由元数据文件、额外的数据文件（与state backend相关）组成。可通过配置文件中“state.checkpoints.dir”配置项来指定元数据文件和数据文件的存储路径，另外也可以在代码中针对单个作业特别指定该配置项。
 
-#### Configure globally via configuration files
+#### 通过配置文件全局配置
 
 {% highlight yaml %}
 state.checkpoints.dir: hdfs:///checkpoints/
 {% endhighlight %}
 
-#### Configure for per job when constructing the state backend
+#### 创建state backend对单个作业进行配置
 
 {% highlight java %}
 env.setStateBackend(new RocksDBStateBackend("hdfs:///checkpoints-data/"));
 {% endhighlight %}
 
-### Difference to Savepoints
+### Checkpoint与Savepoint的区别
 
-Checkpoints have a few differences from [savepoints](savepoints.html). They
-- use a state backend specific (low-level) data format, may be incremental.
-- do not support Flink specific features like rescaling.
+checkpoint与[savepoints](savepoints.html)有一些区别，体现在他们：
 
 Review comment:
   This looks like I should add a space

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