LB-Yu commented on code in PR #24104:
URL: https://github.com/apache/flink/pull/24104#discussion_r1463174712


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docs/content.zh/docs/dev/table/sql/queries/joins.md:
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@@ -324,6 +324,16 @@ FROM Orders AS o
 
 在上面的示例中,Orders 表由保存在 MySQL 数据库中的 Customers 表数据来丰富。带有后续 process time 属性的 `FOR 
SYSTEM_TIME AS OF` 子句确保在联接运算符处理 `Orders` 行时,`Orders` 的每一行都与 join 条件匹配的 Customer 
行连接。它还防止连接的 `Customer` 表在未来发生更新时变更连接结果。lookup join 还需要一个强制的相等连接条件,在上面的示例中是 
`o.customer_id = c.id`。
 
+### Hash Shuffle Lookup Join
+一些Lookup join source使用缓存来减少访问维表的次数。为了提高这些连接器的缓存命中率,用户可以使用一个SQL 
Hint来启用预分区能力,这会强制在Lookup Join之前,按Join key进行一次hash。
+```sql
+-- 使用shuffle hash hint开启 partitioned lookup join

Review Comment:
   Should the expressions in the document uniformly use SHFFLE_HASH?



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