RocMarshal commented on a change in pull request #18718:
URL: https://github.com/apache/flink/pull/18718#discussion_r805170553
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File path: docs/content.zh/docs/connectors/datastream/filesystem.md
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@@ -28,39 +28,34 @@ specific language governing permissions and limitations
under the License.
-->
-# FileSystem
+# 文件系统
-This connector provides a unified Source and Sink for `BATCH` and `STREAMING`
that reads or writes (partitioned) files to file systems
-supported by the [Flink `FileSystem` abstraction]({{< ref
"docs/deployment/filesystems/overview" >}}). This filesystem
-connector provides the same guarantees for both `BATCH` and `STREAMING` and is
designed to provide exactly-once semantics for `STREAMING` execution.
+连接器提供了统一的 Source 和 Sink 在 `BATCH` 和 `STREAMING` 两种模式下，连接文件系统对文件进行读或写（包含分区文件）
+由 [Flink `FileSystem` abstraction]({{< ref
"docs/deployment/filesystems/overview" >}}) 提供支持。文件系统连接器同时为 `BATCH` 和
`STREAMING` 模式提供了相同的保证，并且被设计的执行过程为 `STREAMING` 模式提供了精确一次（exactly-once）语义。
-The connector supports reading and writing a set of files from any
(distributed) file system (e.g. POSIX, S3, HDFS)
-with a [format]({{< ref "docs/connectors/datastream/formats/overview" >}})
(e.g., Avro, CSV, Parquet),
-and produces a stream or records.
+连接器支持从任何文件系统（包括分布式的，例如，POSIX、 S3、 HDFS）通过某种数据格式 [format]({{< ref
"docs/connectors/datastream/formats/overview" >}}) (例如，Avro、 CSV、 Parquet)
生成一个流或者多个记录，然后对文件进行读取或写入。
-## File Source
+## 文件数据源
-The `File Source` is based on the [Source API]({{< ref
"docs/dev/datastream/sources" >}}#the-data-source-api),
-a unified data source that reads files - both in batch and in streaming mode.
-It is divided into the following two parts: `SplitEnumerator` and
`SourceReader`.
+ `File Source` 是基于 [Source API]({{< ref "docs/dev/datastream/sources"
>}}#the-data-source-api) 的，一种读取文件的统一数据源 - 同时支持批和流两种模式。
+可以分为以下两个部分：`SplitEnumerator` 和 `SourceReader`。
-* `SplitEnumerator` is responsible for discovering and identifying the files
to read and assigns them to the `SourceReader`.
-* `SourceReader` requests the files it needs to process and reads the file
from the filesystem.
+* `SplitEnumerator` 负责发现和识别要读取的文件，并且指派这些文件给 `SourceReader`。
+* `SourceReader` 请求需要处理的文件，并从文件系统中读取该文件。
-You will need to combine the File Source with a [format]({{< ref
"docs/connectors/datastream/formats/overview" >}}), which allows you to
-parse CSV, decode AVRO, or read Parquet columnar files.
+你可能需要使用某个格式 [format]({{< ref "docs/connectors/datastream/formats/overview"
>}}) 合并文件源，允许你读取 CSV、 AVRO、 Parquet 数据格式文件。
Review comment:
nit:
```suggestion
你可能需要指定某种 [format]({{< ref "docs/connectors/datastream/formats/overview"
>}}) 与 `File Source` 联合进行解析 CSV、解码AVRO、或者读取 Parquet 列式文件。
```
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