wuchong commented on a change in pull request #10738:
[FLINK-15385][table][docs] Translate SQL section of Table API into Chinese
URL: https://github.com/apache/flink/pull/10738#discussion_r362367550
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File path: docs/dev/table/sql/queries.zh.md
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@@ -1063,49 +1058,49 @@ val result1 = tableEnv.sqlQuery(
{% top %}
-### Group Windows
+### 分组窗口
-Group windows are defined in the `GROUP BY` clause of a SQL query. Just like
queries with regular `GROUP BY` clauses, queries with a `GROUP BY` clause that
includes a group window function compute a single result row per group. The
following group windows functions are supported for SQL on batch and streaming
tables.
+SQL 查询的分组窗口是通过 `GROUP BY` 子句定义的。类似于使用常规 `GROUP BY` 语句的查询，窗口分组语句的 `GROUP BY`
子句中带有一个窗口函数为每个分组计算出一个结果。以下是批处理表和流处理表支持的分组窗口函数：
<table class="table table-bordered">
<thead>
<tr>
- <th class="text-left" style="width: 30%">Group Window Function</th>
- <th class="text-left">Description</th>
+ <th class="text-left" style="width: 30%">分组窗口函数</th>
+ <th class="text-left">描述</th>
</tr>
</thead>
<tbody>
<tr>
<td><code>TUMBLE(time_attr, interval)</code></td>
- <td>Defines a tumbling time window. A tumbling time window assigns rows
to non-overlapping, continuous windows with a fixed duration
(<code>interval</code>). For example, a tumbling window of 5 minutes groups
rows in 5 minutes intervals. Tumbling windows can be defined on event-time
(stream + batch) or processing-time (stream).</td>
+ <td>定义一个滚动窗口。滚动窗口把行分配到有固定持续时间（ <code>interval</code> ）的不重叠的连续窗口。比如，5
分钟的滚动窗口以 5 分钟为间隔对行进行分组。滚动窗口可以定义在事件时间（批处理、流处理）或处理时间（流处理）上。</td>
</tr>
<tr>
<td><code>HOP(time_attr, interval, interval)</code></td>
- <td>Defines a hopping time window (called sliding window in the Table
API). A hopping time window has a fixed duration (second <code>interval</code>
parameter) and hops by a specified hop interval (first <code>interval</code>
parameter). If the hop interval is smaller than the window size, hopping
windows are overlapping. Thus, rows can be assigned to multiple windows. For
example, a hopping window of 15 minutes size and 5 minute hop interval assigns
each row to 3 different windows of 15 minute size, which are evaluated in an
interval of 5 minutes. Hopping windows can be defined on event-time (stream +
batch) or processing-time (stream).</td>
+ <td>定义一个跳跃的时间窗口（在 Table API 中称为滑动窗口）。滑动窗口有一个固定的持续时间（ 第二个
<code>interval</code> 参数 ）以及一个滑动的间隔（第一个 code>interval</code> 参数
）。若滑动间隔小于窗口的持续时间，滑动窗口则会出现重叠；因此，行将会被分配到多个窗口中。比如，一个大小为 15 分组的滑动窗口，其滑动间隔为 5
分钟，将会把每一行数据分配到 3 个 15 分钟的窗口中。滑动窗口可以定义在事件时间（批处理、流处理）或处理时间（流处理）上。</td>
Review comment:
```suggestion
<td>定义一个跳跃的时间窗口（在 Table API 中称为滑动窗口）。滑动窗口有一个固定的持续时间（ 第二个
<code>interval</code> 参数 ）以及一个滑动的间隔（第一个 <code>interval</code> 参数
）。若滑动间隔小于窗口的持续时间，滑动窗口则会出现重叠；因此，行将会被分配到多个窗口中。比如，一个大小为 15 分组的滑动窗口，其滑动间隔为 5
分钟，将会把每一行数据分配到 3 个 15 分钟的窗口中。滑动窗口可以定义在事件时间（批处理、流处理）或处理时间（流处理）上。</td>
```
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