[IOTDB-1454] Fix wrong figure for index tree (#3537)

docs/SystemDesign/TsFile/Format.md

@@ -222,15 +222,15 @@ The degree of the index tree (that is, the max number of each node's children) c
 
 * Example 1: 5 entities with 5 measurements each
 
-<img style="width:100%; max-width:800px; max-height:600px; margin-left:auto; margin-right:auto; display:block;" src="https://user-images.githubusercontent.com/19167280/122677230-134e2780-d214-11eb-9603-ac7b95bc0668.png">
+<img style="width:100%; max-width:800px; max-height:600px; margin-left:auto; margin-right:auto; display:block;" src="https://user-images.githubusercontent.com/19167280/125254013-9d2d7400-e32c-11eb-9f95-1663e14cffbb.png">
 
-In the case of 5 entities with 5 measurements each: Since the numbers of entities and measurements are both no more than `max_degree_of_index_node`, the tree has only measurement index level by default. In this level, each IndexNode is composed of no more than 10 index entries. The root nonde is `INTERNAL_MEASUREMENT` type, and the 5 index entries point to index nodes of related entities. These nodes point to  `TimeseriesIndex` directly, as they are `LEAF_MEASUREMENT` type.
+In the case of 5 entities with 5 measurements each: Since the numbers of entities and measurements are both no more than `max_degree_of_index_node`, the tree has only measurement index level by default. In this level, each IndexNode is composed of no more than 10 index entries. The root node is `INTERNAL_ENTITY` type, and the 5 index entries point to index nodes of related entities. These nodes point to  `TimeseriesIndex` directly, as they are `LEAF_MEASUREMENT` type.
 
 * Example 2: 1 entity with 150 measurements
 
-<img style="width:100%; max-width:800px; max-height:600px; margin-left:auto; margin-right:auto; display:block;" src="https://user-images.githubusercontent.com/19167280/122677233-15b08180-d214-11eb-8d09-c741cca59262.png">
+<img style="width:100%; max-width:800px; max-height:600px; margin-left:auto; margin-right:auto; display:block;" src="https://user-images.githubusercontent.com/19167280/125254022-a0c0fb00-e32c-11eb-8fd1-462936358288.png">
 
-In the case of 1 entity with 150 measurements: The number of measurements exceeds `max_degree_of_index_node`, so the tree has only measurement index level by default. In this level, each IndexNode is composed of no more than 10 index entries. The nodes that point to `TimeseriesIndex` directly are `LEAF_MEASUREMENT` type. Other nodes and root node of index tree are not leaf nodes of measurement index level, so they are `INTERNAL_MEASUREMENT` type.
+In the case of 1 entity with 150 measurements: The number of measurements exceeds `max_degree_of_index_node`, so the tree has only measurement index level by default. In this level, each IndexNode is composed of no more than 10 index entries. The nodes that point to `TimeseriesIndex` directly are `LEAF_MEASUREMENT` type. Other nodes are not leaf nodes of measurement index level, so they are `INTERNAL_MEASUREMENT` type. The root node is `INTERNAL_ENTITY` type.
 
 * Example 3: 150 entities with 1 measurement each
 

docs/zh/SystemDesign/TsFile/Format.md

@@ -224,15 +224,15 @@ PageHeader 结构：
 
 * 例1：5个实体，每个实体有5个物理量
 
-<img style="width:100%; max-width:800px; max-height:600px; margin-left:auto; margin-right:auto; display:block;" src="https://user-images.githubusercontent.com/19167280/122677230-134e2780-d214-11eb-9603-ac7b95bc0668.png">
+<img style="width:100%; max-width:800px; max-height:600px; margin-left:auto; margin-right:auto; display:block;" src="https://user-images.githubusercontent.com/19167280/125254013-9d2d7400-e32c-11eb-9f95-1663e14cffbb.png">
 
-在5个实体，每个实体有5个物理量的情况下，由于实体数和物理量数均不超过 `max_degree_of_index_node`，因此索引树只有默认的物理量部分。在这部分中，每个 IndexNode 最多由10个 IndexEntry 组成。根节点的 IndexNode 是 `INTERNAL_MEASUREMENT` 类型，其中的5个 IndexEntry 指向对应的实体的 IndexNode，这些节点直接指向 `TimeseriesIndex`，是 `LEAF_MEASUREMENT`。
+在5个实体，每个实体有5个物理量的情况下，由于实体数和物理量数均不超过 `max_degree_of_index_node`，因此索引树只有默认的物理量部分。在这部分中，每个 IndexNode 最多由10个 IndexEntry 组成。根节点是 `LEAF_ENTITY` 类型，其中的5个 IndexEntry 指向对应的实体的 IndexNode，这些节点直接指向 `TimeseriesIndex`，是 `LEAF_MEASUREMENT`。
 
 * 例2：1个实体，150个物理量
 
-<img style="width:100%; max-width:800px; max-height:600px; margin-left:auto; margin-right:auto; display:block;" src="https://user-images.githubusercontent.com/19167280/122677233-15b08180-d214-11eb-8d09-c741cca59262.png">
+<img style="width:100%; max-width:800px; max-height:600px; margin-left:auto; margin-right:auto; display:block;" src="https://user-images.githubusercontent.com/19167280/125254022-a0c0fb00-e32c-11eb-8fd1-462936358288.png">
 
-在1个实体，实体中有150个物理量的情况下，物理量个数超过了 `max_degree_of_index_node`，索引树有默认的物理量层级。在这个层级里，每个 IndexNode 最多由10个 IndexEntry 组成。直接指向 `TimeseriesIndex`的节点类型均为 `LEAF_MEASUREMENT`；而后续产生的中间节点和根节点不是物理量索引层级的叶子节点，这些节点是 `INTERNAL_MEASUREMENT`。
+在1个实体，实体中有150个物理量的情况下，物理量个数超过了 `max_degree_of_index_node`，索引树有默认的物理量层级。在这个层级里，每个 IndexNode 最多由10个 IndexEntry 组成。直接指向 `TimeseriesIndex`的节点类型均为 `LEAF_MEASUREMENT`；而后续产生的中间节点不是物理量索引层级的叶子节点，这些节点是 `INTERNAL_MEASUREMENT`；根节点是 `LEAF_ENTITY` 类型。
 
 * 例3：150个实体，每个实体有1个物理量