wuchong commented on a change in pull request #8897:
[FLINK-12943][docs]Translate HDFS Connector page into Chinese
URL: https://github.com/apache/flink/pull/8897#discussion_r298799798
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File path: docs/dev/connectors/filesystem_sink.zh.md
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@@ -65,40 +59,34 @@ input.addSink(new BucketingSink[String]("/base/path"))
</div>
</div>
-The only required parameter is the base path where the buckets will be
-stored. The sink can be further configured by specifying a custom bucketer,
writer and batch size.
-
-By default the bucketing sink will split by the current system time when
elements arrive and will
-use the datetime pattern `"yyyy-MM-dd--HH"` to name the buckets. This pattern
is passed to
-`DateTimeFormatter` with the current system time and JVM's default timezone to
form a bucket path.
-Users can also specify a timezone for the bucketer to format bucket path. A
new bucket will be created
-whenever a new date is encountered. For example, if you have a pattern that
contains minutes as the
-finest granularity you will get a new bucket every minute. Each bucket is
itself a directory that
-contains several part files: each parallel instance of the sink will create
its own part file and
-when part files get too big the sink will also create a new part file next to
the others. When a
-bucket becomes inactive, the open part file will be flushed and closed. A
bucket is regarded as
-inactive when it hasn't been written to recently. By default, the sink checks
for inactive buckets
-every minute, and closes any buckets which haven't been written to for over a
minute. This
-behaviour can be configured with `setInactiveBucketCheckInterval()` and
-`setInactiveBucketThreshold()` on a `BucketingSink`.
-
-You can also specify a custom bucketer by using `setBucketer()` on a
`BucketingSink`. If desired,
-the bucketer can use a property of the element or tuple to determine the
bucket directory.
+初始化时只需要一个参数，这个参数表示分桶文件存储的路径。分桶 sink 可以通过指定自定义的 bucketer、 writer 和 batch 值进一步配置。
+
+默认情况下，当数据到来时，分桶 sink 会按照系统时间对数据进行切分，并以 `"yyyy-MM-dd--HH"` 的时间格式给每个桶命名。然后
+`DateTimeFormatter` 按照 `"yyyy-MM-dd--HH"` 和 JVM
的默认时区格式换当前时间生成分桶的路径。用户可以自定义时区来生成
+分桶的路径。每遇到一个新的日期都会产生一个新的桶。例如，如果时间的格式以分钟为粒度，那么每分钟都会产生一个桶。每个桶都是一个目录，
+目录下包含了几个部分文件：每个 sink 的并发实例都会创建一个部分文件，另外，当这些文件大小太大的时候，sink会产生新的部分文件。
+当一个桶不再活跃时，打开的部分文件会刷盘并且关闭。如果一个桶最近一段时间都没有写入，那么这个桶被认为是不活跃的。sink 默认会每分钟
+检查不活跃的桶、关闭那些超过一分钟没有写入的桶。这些行为可以通过 `BucketingSink` 的
`setInactiveBucketCheckInterval()`
+和 `setInactiveBucketThreshold()` 进行设置。
+
+可以调用`BucketingSink` 的 `setBucketer()` 方法指定自定义的 bucketer，如果需要的话，也可以使用一个元素或者元组属性来
+决定桶的路径。
The default writer is `StringWriter`. This will call `toString()` on the
incoming elements
-and write them to part files, separated by newline. To specify a custom writer
use `setWriter()`
-on a `BucketingSink`. If you want to write Hadoop SequenceFiles you can use
the provided
-`SequenceFileWriter` which can also be configured to use compression.
+默认的 writer 是 `StringWriter`。数据到达时，通过 `toString()`
方法得到内容，内容以换行符分隔，`StringWriter` 将数据
+内容写入部分文件。可以通过 `BucketingSink` 的 `setWriter()` 指定自定义的
writer。`SequenceFileWriter` 支持写入 Hadoop
+SequenceFiles，并且可以配置是否开启压缩。
There are two configuration options that specify when a part file should be
closed
+关闭部分文件和打开新部分文件的时机可以通过两个配置来确定：
and a new one started:
Review comment:
原文未删除
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