authuir commented on a change in pull request #12420:
URL: https://github.com/apache/flink/pull/12420#discussion_r444589792
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File path: docs/dev/table/streaming/joins.zh.md
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@@ -140,26 +137,23 @@ FROM
WHERE r.currency = o.currency
{% endhighlight %}
-Each record from the probe side will be joined with the version of the build
side table at the time of the correlated time attribute of the probe side
record.
-In order to support updates (overwrites) of previous values on the build side
table, the table must define a primary key.
+探针侧的每条记录都将与构建侧的表执行 Join 运算，构建侧的表中与探针侧对应时间属性的记录将参与运算。
+为了支持更新（包括覆盖）构建侧的表，该表必须定义主键。
-In our example, each record from `Orders` will be joined with the version of
`Rates` at time `o.rowtime`. The `currency` field has been defined as the
primary key of `Rates` before and is used to connect both tables in our
example. If the query were using a processing-time notion, a newly appended
order would always be joined with the most recent version of `Rates` when
executing the operation.
+在示例中，`Orders` 表中的每一条记录都与时间点 `o.rowtime` 的 `Rates` 进行 Join 运算。`currency`
字段已被定义为 `Rates` 表的主键，在示例中该字段也被用于连接两个表。如果该查询采用的是
processing-time，则在执行时新增的订单将始终与最新的 `Rates` 执行 Join。
-In contrast to [regular joins](#regular-joins), this means that if there is a
new record on the build side, it will not affect the previous results of the
join.
-This again allows Flink to limit the number of elements that must be kept in
the state.
+与[常规 Join](#regular-joins)相反，临时表函数 Join 意味着如果在构建侧新增一行记录将不会影响之前的结果。这同时使得 Flink
能够限制必须保存在 state 中的元素数量（因为不再需要保存之前的状态）。
Review comment:
Fixed
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