yangzhg commented on code in PR #9753:
URL: https://github.com/apache/incubator-doris/pull/9753#discussion_r882257444
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docs/zh-CN/advanced/join-optimization/doris-join-optimization.md:
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+---
+{
+ "title": "Doris Join 优化原理",
+ "language": "zh-CN"
+}
+
+
+---
+
+<!--
+Licensed to the Apache Software Foundation (ASF) under one
+or more contributor license agreements. See the NOTICE file
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+"License"); you may not use this file except in compliance
+with the License. You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing,
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+"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+KIND, either express or implied. See the License for the
+specific language governing permissions and limitations
+under the License.
+-->
+
+# Doris Join 优化原理
+
+Doris 支持两种物理算子，一类是 **Hash Join**，另一类是 **Nest Loop Join**。
+
+- Hash Join：在右表上根据等值 Join 列建立哈希表，左表流式的利用哈希表进行 Join 计算，它的限制是只能适用于等值 Join。
+- Nest Loop Join：通过两个 for 循环，很直观。然后它适用的场景就是不等值的
Join，例如：大于小于或者是需要求笛卡尔积的场景。它是一个通用的 Join 算子，但是性能表现差。
+
+作为分布式的 MPP 数据库， 在 Join 的过程中是需要进行数据的 Shuffle。数据需要进行拆分调度，才能保证最终的 Join
结果是正确的。举个简单的例子，假设关系S 和 R 进行Join，N 表示参与 Join 计算的节点的数量；T 则表示关系的 Tuple 数目。
+
+
+
+## Doris Shuffle 方式
+
+Doris 支持 4 种 Shuffle 方式
+
+1. BroadCast Join
Review Comment:
```suggestion
1. Broadcast Join
```
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