klion26 commented on a change in pull request #13486:
URL: https://github.com/apache/flink/pull/13486#discussion_r580814224
##########
File path: docs/dev/connectors/streamfile_sink.zh.md
##########
@@ -289,20 +289,18 @@ stream.addSink(StreamingFileSink.forBulkFormat(
</div>
</div>
-#### ORC Format
+#### ORC 格式
-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).
+为了数据能够批量编码成 ORC 格式，Flink 提供具体实现了 [Vectorizer]({{ site.javadocs_baseurl
}}/api/java/org/apache/flink/orc/vector/Vectorizer.html)
+的 [OrcBulkWriterFactory]({{ site.javadocs_baseurl
}}/api/java/org/apache/flink/formats/orc/writers/OrcBulkWriterFactory.html) 实例。
-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.
+与其它批量编码列式存储格式一样，`OrcBulkWriter` 使用 ORC `VectorizedRowBatch` 实现输入数据批量写入功能。
-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.
+因为输入的数据需要转换成 `VectorizedRowBatch`，用户需要继承抽象类 `Vectorizer`
+同时实现 `vectorize(T element, VectorizedRowBatch batch)` 方法。正如你所看到的，这个方法提供用户一个
`VectorizedRowBatch` 实例，
+用户需要将输入的 `element` 转化成 `ColumnVectors`，同时设置在 `VectorizedRowBatch` 实例中。
-For example, if the input element is of type `Person` which looks like:
+我们看下输入数据类型为 `Person` 的一个例子，类型定义如下:
Review comment:
这句话有点口语化，能否优化下，类似 "以类型 `Person` 为例：“
##########
File path: docs/dev/connectors/streamfile_sink.zh.md
##########
@@ -289,20 +289,18 @@ stream.addSink(StreamingFileSink.forBulkFormat(
</div>
</div>
-#### ORC Format
+#### ORC 格式
-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).
+为了数据能够批量编码成 ORC 格式，Flink 提供具体实现了 [Vectorizer]({{ site.javadocs_baseurl
}}/api/java/org/apache/flink/orc/vector/Vectorizer.html)
Review comment:
1. "Flink 提供具体xxx" 这句话读起来不太顺口，能否优化下
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