guoweiM commented on a change in pull request #14077:
URL: https://github.com/apache/flink/pull/14077#discussion_r524243329
##########
File path: docs/dev/connectors/file_sink.zh.md
##########
@@ -329,18 +329,13 @@ stream.sinkTo(FileSink.forBulkFormat(
#### ORC Format
-To enable the data to be bulk encoded in ORC format, Flink offers
[OrcBulkWriterFactory]({{ site.javadocs_baseurl
}}/api/java/org/apache/flink/formats/orc/writers/OrcBulkWriterFactory.html)
-which takes a concrete implementation of [Vectorizer]({{ site.javadocs_baseurl
}}/api/java/org/apache/flink/orc/vector/Vectorizer.html).
+为了使用基于批量编码的 ORC 格式，Flink提供了 [OrcBulkWriterFactory]({{ site.javadocs_baseurl
}}/api/java/org/apache/flink/formats/orc/writers/OrcBulkWriterFactory.html)
，它需要用户提供一个 [Vectorizer]({{ site.javadocs_baseurl
}}/api/java/org/apache/flink/orc/vector/Vectorizer.html) 的具体实现。
-Like any other columnar format that encodes data in bulk fashion, Flink's
`OrcBulkWriter` writes the input elements in batches. It uses
-ORC's `VectorizedRowBatch` to achieve this.
+和其它基于列式存储的批量编码格式类似，Flink中的 `OrcBulkWriter` 将数据按批写出，它通过 ORC 的
VectorizedRowBatch 来实现这一点。
-Since the input element has to be transformed to a `VectorizedRowBatch`, users
have to extend the abstract `Vectorizer`
-class and override the `vectorize(T element, VectorizedRowBatch batch)`
method. As you can see, the method provides an
-instance of `VectorizedRowBatch` to be used directly by the users so users
just have to write the logic to transform the
-input `element` to `ColumnVectors` and set them in the provided
`VectorizedRowBatch` instance.
+由于输入数据必须先缓存为一个完整的 `VectorizedRowBatch` ，用户需要继承 `Vectorizer` 抽像类并且覆盖其中的
`vectorize(T element, VectorizedRowBatch batch)` 方法。方法参数中传入的
`VectorizedRowBatch` 使用户只需将输入 `element` 转化为 `ColumnVectors` 并将它存储到所提供的
`VectorizedRowBatch` 实例中。
Review comment:
覆盖---》实现
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org
