wuchong commented on a change in pull request #9805: [FLINK-11635][docs-zh]
translate dev/stream/state/checkpointing into Chinese
URL: https://github.com/apache/flink/pull/9805#discussion_r334219286
##########
File path: docs/dev/stream/state/checkpointing.zh.md
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@@ -173,30 +165,26 @@ Some more parameters and/or defaults may be set via
`conf/flink-conf.yaml` (see
## Selecting a State Backend
-Flink's [checkpointing mechanism]({{ site.baseurl
}}/internals/stream_checkpointing.html) stores consistent snapshots
-of all the state in timers and stateful operators, including connectors,
windows, and any [user-defined state](state.html).
-Where the checkpoints are stored (e.g., JobManager memory, file system,
database) depends on the configured
-**State Backend**.
-
-By default, state is kept in memory in the TaskManagers and checkpoints are
stored in memory in the JobManager. For proper persistence of large state,
-Flink supports various approaches for storing and checkpointing state in other
state backends. The choice of state backend can be configured via
`StreamExecutionEnvironment.setStateBackend(…)`.
+Flink 的 [checkpointing mechanism]({{ site.baseurl
}}/zh/internals/stream_checkpointing.html) 存储在定时器与状态操作里的持久化快照，
+包括连接器（connectors），窗口（windows）以及任何用户[自定义的状态](state.html)
+checkpoint 存储在那里取决于所配置的 **State Backend**（比如 JobManager memory、 file system、
database）。
-See [state backends]({{ site.baseurl }}/ops/state/state_backends.html) for
more details on the available state backends and options for job-wide and
cluster-wide configuration.
+默认情况下，状态是保持在 TaskManagers 的内存中，checkpoint 保存在 JobManager
的内存中。为了体量大的状态的能完全恰当的持久化，
+Flink 支持各种各样的途径去存储，来 checkpoint 状态到其他的 state backends。通过
`StreamExecutionEnvironment.setStateBackend(…)` 来配置所选的 state backends。
+阅读 [state backends]({{ site.baseurl }}/zh/ops/state/state_backends.html)
来查看在可用 state backends 上的更多细节，选择 job范围 与 集群返回 的配置。
-## State Checkpoints in Iterative Jobs
+## 在 Iterative Jobs 中的状态 checkpoint
Review comment:
```suggestion
## Iterative Jobs 中的状态 和 checkpoint
```
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