MrWhiteSike commented on a change in pull request #18718:
URL: https://github.com/apache/flink/pull/18718#discussion_r807518027
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File path: docs/content.zh/docs/connectors/datastream/filesystem.md
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@@ -231,72 +222,68 @@ new HiveSource<>(
```
{{< /tab >}}
{{< /tabs >}}
+<a name="current-limitations"></a>
-### Current Limitations
+### 当前限制
-Watermarking does not work very well for large backlogs of files. This is
because watermarks eagerly advance within a file, and the next file might
contain data later than the watermark.
+对于大量积压的文件， Watermark 效果不佳。这是因为 Watermark 急切地在一个文件中前进，而下一个文件可能包含比 Watermark
更晚的数据。
-For Unbounded File Sources, the enumerator currently remembers paths of all
already processed files, which is a state that can, in some cases, grow rather
large.
-There are plans to add a compressed form of tracking already processed files
in the future (for example, by keeping modification timestamps below
boundaries).
+对于无界文件源，枚举器会记住当前所有已处理文件的路径，在某些情况下，这种状态可能会变得相当大。
+计划在未来增加一种压缩的方式来跟踪已经处理的文件（例如，将修改时间戳保持在边界以下）。
+<a name="behind-the-scenes"></a>
-### Behind the Scenes
+### 后话
{{< hint info >}}
-If you are interested in how File Source works through the new data source API
design, you may
-want to read this part as a reference. For details about the new data source
API, check out the
-[documentation on data sources]({{< ref "docs/dev/datastream/sources.md" >}})
and
+如果你对新设计的数据源 API 中的文件源是如何工作的感兴趣，可以阅读本部分作为参考。关于新的数据源 API 的更多细节，请参考
+[documentation on data sources]({{< ref "docs/dev/datastream/sources.md" >}})
和在
<a
href="https://cwiki.apache.org/confluence/display/FLINK/FLIP-27%3A+Refactor+Source+Interface";>FLIP-27</a>
-for more descriptive discussions.
+中获取更加具体的讨论详情。
{{< /hint >}}
+<a name="file-sink"></a>
-## File Sink
+## 文件 Sink
-The file sink writes incoming data into buckets. Given that the incoming
streams can be unbounded,
-data in each bucket is organized into part files of finite size. The bucketing
behaviour is fully configurable
-with a default time-based bucketing where we start writing a new bucket every
hour. This means that each resulting
-bucket will contain files with records received during 1 hour intervals from
the stream.
+文件 Sink 将传入的数据写入存储桶中。考虑到输入流可以是无界的，每个桶中的数据被组织成有限大小的 Part 文件。
+往桶中写数据的行为完全可默认配置成基于时间的，比如我们可以设置每个小时的数据写入一个新桶中。这意味着桶中将包含一个小时间隔内接收到的记录。
Review comment:
```suggestion
完全可以配置为基于时间的方式往桶中写入数据，比如我们可以设置每个小时的数据写入一个新桶中。这意味着桶中将包含一个小时间隔内接收到的记录。
```
What do you think about it?
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