wuchong commented on a change in pull request #8341: [FLINK-11633][docs-zh]
Translate "Working with state" into Chinese
URL: https://github.com/apache/flink/pull/8341#discussion_r281010149
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File path: docs/dev/stream/state/state.zh.md
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@@ -394,30 +338,25 @@ val ttlConfig = StateTtlConfig
</div>
</div>
-This option is not applicable for the incremental checkpointing in the RocksDB
state backend.
+这个配置对 RocksDB 增量 checkpoint 无效。
-**Notes:**
-- For existing jobs, this cleanup strategy can be activated or deactivated
anytime in `StateTtlConfig`,
-e.g. after restart from savepoint.
+**注意:**
+- 这种清理方式可以在任何时候通过 `StateTtlConfig` 启用或者关闭，比如在从 savepoint 恢复时。
-##### Incremental cleanup
+##### 增量数据清理
-Another option is to trigger cleanup of some state entries incrementally.
-The trigger can be a callback from each state access or/and each record
processing.
-If this cleanup strategy is active for certain state,
-The storage backend keeps a lazy global iterator for this state over all its
entries.
-Every time incremental cleanup is triggered, the iterator is advanced.
-The traversed state entries are checked and expired ones are cleaned up.
+另外可以选择增量式清理状态数据，在状态访问或/和处理时进行。如果某个状态开启了该清理策略，则会在存储后端保留一个所有状态的惰性全局迭代器。
+每次触发增量清理时，从迭代器中选择已经过期的数进行清理。
-This feature can be activated in `StateTtlConfig`:
+该特性可以通过 `StateTtlConfig` 进行启用：
<div class="codetabs" markdown="1">
<div data-lang="java" markdown="1">
{% highlight java %}
import org.apache.flink.api.common.state.StateTtlConfig;
StateTtlConfig ttlConfig = StateTtlConfig
.newBuilder(Time.seconds(1))
- .cleanupIncrementally()
+ .cleanupIncrementally(10, true)
Review comment:
Please also update scala example and `state.md`.
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