michaelli916 commented on a change in pull request #13459:
URL: https://github.com/apache/flink/pull/13459#discussion_r619767718
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File path: docs/content.zh/docs/connectors/table/filesystem.md
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@@ -149,15 +145,14 @@ a timeout that specifies the maximum duration for which a
file can be open.
</tbody>
</table>
-**NOTE:** For bulk formats (parquet, orc, avro), the rolling policy in
combination with the checkpoint interval(pending files
-become finished on the next checkpoint) control the size and number of these
parts.
+**注意:** 对于 bulk 格式 (parquet, orc, avro), 滚动策略和检查点间隔控制了分区文件的大小和个数
(未完成的文件会在下个检查点完成）.
-**NOTE:** For row formats (csv, json), you can set the parameter
`sink.rolling-policy.file-size` or `sink.rolling-policy.rollover-interval` in
the connector properties and parameter `execution.checkpointing.interval` in
flink-conf.yaml together
-if you don't want to wait a long period before observe the data exists in file
system. For other formats (avro, orc), you can just set parameter
`execution.checkpointing.interval` in flink-conf.yaml.
+**注意:** 对于行格式 (csv, json), 如果想使得分区文件更快地在文件系统中可见，可以设置连接器参数
`sink.rolling-policy.file-size` 或 `sink.rolling-policy.rollover-interval` ，以及
flink-conf.yaml 中的 `execution.checkpointing.interval` 。
+对于其他格式 (avro, orc), 可以只设置 flink-conf.yaml 中的
`execution.checkpointing.interval` 。
-### File Compaction
+### 文件压缩
Review comment:
嗯，“文件压缩”容易造成歧义，确实“文件合并”更好。
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