[fix](doc) clean up table-design, vector index, lakehouse, and view docs

docs/data-operate/import/data-source/bigquery.md

@@ -125,7 +125,7 @@ AS (
 
 #### 2.2 Inspect the exported files on GCS
 
-The command above exports `sales_data` to GCS. Each partition produces one or more files with incrementing file names. For details, see [exporting-data](https://cloud.google.com/bigquerydocs/exporting-data#exporting_data_into_one_or_more_files).
+The command above exports `sales_data` to GCS. Each partition produces one or more files with incrementing file names. For details, see [exporting-data](https://cloud.google.com/bigquery/docs/exporting-data#exporting_data_into_one_or_more_files).
 
 ![gcs_export](/images/data-operate/gcs_export.png)
 

docs/lakehouse/catalogs/jdbc-catalog-overview.md

@@ -65,7 +65,7 @@ CREATE CATALOG [IF NOT EXISTS] catalog_name PROPERTIES (
 
       2. Local absolute path. For example, `file:///path/to/mysql-connector-j-8.3.0.jar`. The Jar file must be pre-placed in the specified path on all FE/BE nodes.
 
-      3. HTTP URL. For example: `http://repo1.maven.org/maven2/com/mysql/mysql-connector-j/8.3.0/mysql-connector-j-8.3.0.jar`. The system will download the driver file from this HTTP address. Only supports HTTP services without authentication.
+      3. HTTP URL. For example: `https://repo1.maven.org/maven2/com/mysql/mysql-connector-j/8.3.0/mysql-connector-j-8.3.0.jar`. The system will download the driver file from this HTTP address. Only supports HTTP services without authentication.
 
   * Optional Properties
 

docs/sql-manual/sql-statements/table-and-view/view/SHOW-VIEW.md

@@ -10,7 +10,7 @@
 
 This statement is used to display all views based on the given table
 
-grammar:
+## Syntax
 
 ```sql
   SHOW VIEW { FROM | IN } table [ FROM db ]
@@ -28,5 +28,3 @@ grammar:
 
     SHOW, VIEW
 
-## Best Practice
-

docs/table-design/data-type.md

@@ -21,7 +21,7 @@ The list of data types supported by Apache Doris is as follows:
 | [LARGEINT](../sql-manual/basic-element/sql-data-types/numeric/LARGEINT)       | 16        | Signed integer, range [-2^127 + 1 ~ 2^127 - 1].              |
 | [FLOAT](../sql-manual/basic-element/sql-data-types/numeric/FLOATING-POINT)          | 4         | Floating-point number, range [-3.4*10^38 ~ 3.4*10^38].       |
 | [DOUBLE](../sql-manual/basic-element/sql-data-types/numeric/FLOATING-POINT)         | 8         | Floating-point number, range [-1.79*10^308 ~ 1.79*10^308].   |
-| [DECIMAL](../sql-manual/basic-element/sql-data-types/numeric/DECIMAL)        | 4/8/16/32    | High-precision fixed-point number. Format: DECIMAL(P[,S]). P represents the total number of significant digits (precision), and S represents the number of digits after the decimal point (scale). The range of P is [1, MAX_P]. When `enable_decimal256`=false, MAX_P=38; when `enable_decimal256`=true, MAX_P=76. The range of S is [0, P].<br>The default value of `enable_decimal256` is false. Setting it to true yields more precise results but incurs some performance overhead.<br>Storage size:<ul><li>When 0 < precision <= 9, occupies 4 bytes.<li>When 9 < precision <= 18, occupies 8 bytes.<li>When 16 < precision <= 38, occupies 16 bytes.<li>When 38 < precision <= 76, occupies 32 bytes.<ul>|
+| [DECIMAL](../sql-manual/basic-element/sql-data-types/numeric/DECIMAL)        | 4/8/16/32    | High-precision fixed-point number. Format: DECIMAL(P[,S]). P represents the total number of significant digits (precision), and S represents the number of digits after the decimal point (scale). The range of P is [1, MAX_P]. When `enable_decimal256`=false, MAX_P=38; when `enable_decimal256`=true, MAX_P=76. The range of S is [0, P].<br>The default value of `enable_decimal256` is false. Setting it to true yields more precise results but incurs some performance overhead.<br>Storage size:<ul><li>When 0 < precision <= 9, occupies 4 bytes.</li><li>When 9 < precision <= 18, occupies 8 bytes.</li><li>When 18 < precision <= 38, occupies 16 bytes.</li><li>When 38 < precision <= 76, occupies 32 bytes.</li></ul>|
 
 ### [Date Types](../sql-manual/basic-element/sql-data-types/data-type-overview#date-types)
 

docs/table-design/index/inverted-index/custom-analyzer.md

@@ -4,7 +4,6 @@
     "language": "en",
     "description": "Doris custom analyzers combine character filters, tokenizers, and token filters to flexibly control text segmentation strategies, improving the search relevance and precision of inverted indexes.",
     "keywords": [
-        "custom analyzer",
         "custom analyzer",
         "inverted index tokenizer",
         "tokenizer",
@@ -91,17 +90,17 @@ Supported tokenizer types:
 | Type | Description | Main Parameters |
 | --- | --- | --- |
 | `standard` | Standard tokenization (follows Unicode text segmentation), suitable for most languages | None |
-| `ngram` | Splits by N-grams | `min_ngram`, `max_ngram`, `token_chars` |
-| `edge_ngram` | Generates N-grams starting from the beginning of the word | `min_ngram`, `max_ngram`, `token_chars` |
+| `ngram` | Splits by N-grams | `min_gram`, `max_gram`, `token_chars` |
+| `edge_ngram` | Generates N-grams starting from the beginning of the word | `min_gram`, `max_gram`, `token_chars` |
 | `keyword` | Outputs the entire text as a single term, often combined with token_filter | None |
 | `char_group` | Splits by the given characters | `tokenize_on_chars` |
 | `basic` | Simple English / digit / Chinese / Unicode tokenization | `extra_chars` |
 | `icu` | ICU internationalized tokenization, supports complex scripts in multiple languages | None |
 
 Parameter descriptions:
 
-- `min_ngram`: minimum length (default 1)
-- `max_ngram`: maximum length (default 2)
+- `min_gram`: minimum length (default 1)
+- `max_gram`: maximum length (default 2)
 - `token_chars`: character categories to keep (default: keep all). Options: `letter`, `digit`, `whitespace`, `punctuation`, `symbol`
 - `tokenize_on_chars`: a character list or category. Categories support `whitespace`, `letter`, `digit`, `punctuation`, `symbol`, `cjk`
 - `extra_chars`: additional ASCII characters to split on (such as `[]().`)
@@ -503,5 +502,3 @@ Result:
 1. Nesting multiple components in a custom `analyzer` may degrade tokenization performance.
 2. The `select tokenize` tokenization function supports custom analyzers and can be used to debug tokenization results.
 3. Only one of the predefined `built_in_analyzer` and a custom `analyzer` can exist on the same index.
-</content>
-</invoke>

docs/table-design/index/ngram-bloomfilter-index.md

@@ -239,7 +239,7 @@ mysql> SELECT COUNT() FROM amazon_reviews;
 ```sql
 SELECT
     product_id,
-    any(product_title),
+    any_value(product_title),
     AVG(star_rating) AS rating,
     COUNT() AS count
 FROM

docs/table-design/index/prefix-index.md

@@ -6,8 +6,6 @@
     "keywords": [
         "Prefix Index",
         "Sort Key",
-        "Sort Key",
-        "Prefix Index",
         "Apache Doris",
         "sparse index",
         "query acceleration",

docs/table-design/index/vector-index/hnsw.md

@@ -418,7 +418,7 @@ Before high-concurrency queries, run a cold query first to warm up the index fil
 
 #### Memory Footprint and Performance
 
-> **An HNSW index (without quantization compression) takes about 1.2x the memory of the vectors it indexes.**
+> **An HNSW index (without quantization compression) takes about 1.3x the memory of the vectors it indexes.**
 
 For example, for a 128-dimensional, 1M dataset, an HNSW FLAT index needs about `128 x 4 x 1,000,000 x 1.3 ~= 650 MB`.
 

docs/table-design/index/vector-index/ivf.md

@@ -395,7 +395,7 @@ Reference values:
 
 | dim | rows | Estimated memory |
 | --- | --- | --- |
-| 128 | 1M | 496 MB |
+| 128 | 1M | 500 MB |
 | 768 | 1M | 2.9 GB |
 
 To guarantee query performance, the BE must have enough memory to hold the entire index. Otherwise, frequent IO on index files causes severe query performance degradation.

docs/table-design/index/vector-index/overview.md

@@ -478,7 +478,7 @@ Common embedding-model outputs are typically 768 dimensions or higher. If you em
     ```java
     // use `?` for placement holders, readStatement should be reused
     PreparedStatement readStatement = conn.prepareStatement("SELECT id, l2_distance_approximate(embedding, cast (? as ARRAY<FLOAT>)) AS distance
-        FROM l2_distance_approximate
+        FROM sift_1M
         ORDER BY distance
         LIMIT 10");
       

i18n/zh-CN/docusaurus-plugin-content-docs/current/data-operate/import/data-source/bigquery.md

@@ -125,7 +125,7 @@ AS (
 
 #### 2.2 查看 GCS 上的导出文件
 
-以上命令会将 `sales_data` 的数据导出到 GCS，每个分区会产生一个或多个文件，文件名递增。具体规则可参考 [exporting-data](https://cloud.google.com/bigquerydocs/exporting-data#exporting_data_into_one_or_more_files)。
+以上命令会将 `sales_data` 的数据导出到 GCS，每个分区会产生一个或多个文件，文件名递增。具体规则可参考 [exporting-data](https://cloud.google.com/bigquery/docs/exporting-data#exporting_data_into_one_or_more_files)。
 
 ![gcs_export](/images/data-operate/gcs_export.png)
 

i18n/zh-CN/docusaurus-plugin-content-docs/current/lakehouse/catalogs/jdbc-catalog-overview.md

@@ -65,7 +65,7 @@ CREATE CATALOG [IF NOT EXISTS] catalog_name PROPERTIES (
 
       2. 本地绝对路径。如 `file:///path/to/mysql-connector-j-8.3.0.jar`。需将 Jar 包预先存放在所有 FE/BE 节点指定的路径下。
 
-      3. Http 地址。如：`http://repo1.maven.org/maven2/com/mysql/mysql-connector-j/8.3.0/mysql-connector-j-8.3.0.jar` 系统会从这个 Http 地址下载 Driver 文件。仅支持无认证的 Http 服务。  
+      3. Http 地址。如：`https://repo1.maven.org/maven2/com/mysql/mysql-connector-j/8.3.0/mysql-connector-j-8.3.0.jar` 系统会从这个 Http 地址下载 Driver 文件。仅支持无认证的 Http 服务。  
 
 
   * 可选属性

i18n/zh-CN/docusaurus-plugin-content-docs/current/table-design/data-type.md

@@ -21,7 +21,7 @@ Apache Doris 已支持的数据类型列表如下：
 | [LARGEINT](../sql-manual/basic-element/sql-data-types/numeric/LARGEINT)       | 16        | 有符号整数，范围 [-2^127 + 1 ~ 2^127 - 1]。                  |
 | [FLOAT](../sql-manual/basic-element/sql-data-types/numeric/FLOATING-POINT)          | 4         | 浮点数，范围 [-3.4*10^38 ~ 3.4*10^38]。                      |
 | [DOUBLE](../sql-manual/basic-element/sql-data-types/numeric/FLOATING-POINT)         | 8         | 浮点数，范围 [-1.79*10^308 ~ 1.79*10^308]。                  |
-| [DECIMAL](../sql-manual/basic-element/sql-data-types/numeric/DECIMAL)        | 4/8/16/32    | 高精度定点数，格式：DECIMAL(P[,S])。其中，P 代表一共有多少个有效数字（precision），S 代表小数位有多少数字（scale）。有效数字 P 的范围是 [1, MAX_P]，`enable_decimal256`=false 时，MAX_P=38，`enable_decimal256`=true 时，MAX_P=76。小数位数字数量 S 的范围是 [0, P]。<br>`enable_decimal256` 的默认值是 false，设置为 true 可以获得更加精确的结果，但是会带来一些性能损失。<br>存储空间：<ul><li>0 < precision <= 9 时，占用 4 字节。<li>9 < precision <= 18 时，占用 8 字节。<li>16 < precision <= 38 时，占用 16 字节。<li>38 < precision <= 76 的场合，占用 32 字节。<ul>|
+| [DECIMAL](../sql-manual/basic-element/sql-data-types/numeric/DECIMAL)        | 4/8/16/32    | 高精度定点数，格式：DECIMAL(P[,S])。其中，P 代表一共有多少个有效数字（precision），S 代表小数位有多少数字（scale）。有效数字 P 的范围是 [1, MAX_P]，`enable_decimal256`=false 时，MAX_P=38，`enable_decimal256`=true 时，MAX_P=76。小数位数字数量 S 的范围是 [0, P]。<br>`enable_decimal256` 的默认值是 false，设置为 true 可以获得更加精确的结果，但是会带来一些性能损失。<br>存储空间：<ul><li>0 < precision <= 9 时，占用 4 字节。</li><li>9 < precision <= 18 时，占用 8 字节。</li><li>18 < precision <= 38 时，占用 16 字节。</li><li>38 < precision <= 76 的场合，占用 32 字节。</li></ul>|
 
 ### [日期类型](../sql-manual/basic-element/sql-data-types/data-type-overview#日期类型)
 

i18n/zh-CN/docusaurus-plugin-content-docs/current/table-design/index/inverted-index/custom-analyzer.md

@@ -91,17 +91,17 @@ PROPERTIES (
 | 类型 | 说明 | 主要参数 |
 | --- | --- | --- |
 | `standard` | 标准分词（遵循 Unicode 文本分割），适用于多数语言 | 无 |
-| `ngram` | 按 N 元组切分 | `min_ngram`、`max_ngram`、`token_chars` |
-| `edge_ngram` | 从词首起始位置生成 N 元组 | `min_ngram`、`max_ngram`、`token_chars` |
+| `ngram` | 按 N 元组切分 | `min_gram`、`max_gram`、`token_chars` |
+| `edge_ngram` | 从词首起始位置生成 N 元组 | `min_gram`、`max_gram`、`token_chars` |
 | `keyword` | 整段文本作为一个词项输出，常与 token_filter 组合 | 无 |
 | `char_group` | 按给定字符切分 | `tokenize_on_chars` |
 | `basic` | 简单英文 / 数字 / 中文 / Unicode 分词 | `extra_chars` |
 | `icu` | ICU 国际化分词，支持多语言复杂脚本 | 无 |
 
 参数说明：
 
-- `min_ngram`：最小长度（默认 1）
-- `max_ngram`：最大长度（默认 2）
+- `min_gram`：最小长度（默认 1）
+- `max_gram`：最大长度（默认 2）
 - `token_chars`：保留字符类别（默认保留全部）。可选：`letter`、`digit`、`whitespace`、`punctuation`、`symbol`
 - `tokenize_on_chars`：字符列表或类别，类别支持 `whitespace`、`letter`、`digit`、`punctuation`、`symbol`、`cjk`
 - `extra_chars`：额外分割的 ASCII 字符（如 `[]().`）

i18n/zh-CN/docusaurus-plugin-content-docs/current/table-design/index/ngram-bloomfilter-index.md

@@ -239,7 +239,7 @@ mysql> SELECT COUNT() FROM amazon_reviews;
 ```sql
 SELECT
     product_id,
-    any(product_title),
+    any_value(product_title),
     AVG(star_rating) AS rating,
     COUNT() AS count
 FROM

i18n/zh-CN/docusaurus-plugin-content-docs/current/table-design/index/vector-index/hnsw.md

@@ -418,7 +418,7 @@ Doris 的 ANN 索引基于 Meta 开源的 [faiss](https://github.com/facebookres
 
 #### 内存空间与性能
 
-> **HNSW 索引（无量化压缩）占用的内存空间约为其检索向量内存大小的 1.2 倍。**
+> **HNSW 索引（无量化压缩）占用的内存空间约为其检索向量内存大小的 1.3 倍。**
 
 例如 128 维、1M 数据集，HNSW FLAT 索引大约需要 `128 × 4 × 1,000,000 × 1.3 ≈ 650 MB`。
 

i18n/zh-CN/docusaurus-plugin-content-docs/current/table-design/index/vector-index/ivf.md

@@ -396,7 +396,7 @@ Doris 的 ANN 索引基于 Meta 开源的 [faiss](https://github.com/facebookres
 
 | dim | rows | 预估内存 |
 | --- | --- | --- |
-| 128 | 1M | 496 MB |
+| 128 | 1M | 500 MB |
 | 768 | 1M | 2.9 GB |
 
 为保证查询性能，BE 必须有足够的内存容纳全部索引；否则索引文件频繁 IO 会导致查询性能大幅衰减。

i18n/zh-CN/docusaurus-plugin-content-docs/current/table-design/index/vector-index/overview.md

@@ -478,7 +478,7 @@ PROPERTIES (
     ```java
     // use `?` for placement holders, readStatement should be reused
     PreparedStatement readStatement = conn.prepareStatement("SELECT id, l2_distance_approximate(embedding, cast (? as ARRAY<FLOAT>)) AS distance
-        FROM l2_distance_approximate
+        FROM sift_1M
         ORDER BY distance
         LIMIT 10");
       

i18n/zh-CN/docusaurus-plugin-content-docs/version-2.1/data-operate/import/data-source/bigquery.md

@@ -99,7 +99,7 @@ PROPERTIES (
 
 2.2. **查看 GCS 上的导出文件**
 
-   以上命令会将 sales_data 的数据导出到 GCS 上，并且每个分区会产生一个或多个文件，文件名递增，具体可参考[exporting-data](https://cloud.google.com/bigquerydocs/exporting-data#exporting_data_into_one_or_more_files)，如下
+   以上命令会将 sales_data 的数据导出到 GCS 上，并且每个分区会产生一个或多个文件，文件名递增，具体可参考[exporting-data](https://cloud.google.com/bigquery/docs/exporting-data#exporting_data_into_one_or_more_files)，如下
    ![gcs_export](/images/data-operate/gcs_export.png)
 
 ## 3. 导入数据到 Doris

i18n/zh-CN/docusaurus-plugin-content-docs/version-2.1/lakehouse/catalogs/jdbc-catalog-overview.md

@@ -65,7 +65,7 @@ CREATE CATALOG [IF NOT EXISTS] catalog_name PROPERTIES (
 
       2. 本地绝对路径。如 `file:///path/to/mysql-connector-j-8.3.0.jar`。需将 Jar 包预先存放在所有 FE/BE 节点指定的路径下。
 
-      3. Http 地址。如：`http://repo1.maven.org/maven2/com/mysql/mysql-connector-j/8.3.0/mysql-connector-j-8.3.0.jar` 系统会从这个 Http 地址下载 Driver 文件。仅支持无认证的 Http 服务。  
+      3. Http 地址。如：`https://repo1.maven.org/maven2/com/mysql/mysql-connector-j/8.3.0/mysql-connector-j-8.3.0.jar` 系统会从这个 Http 地址下载 Driver 文件。仅支持无认证的 Http 服务。  
 
 
   * 可选属性

i18n/zh-CN/docusaurus-plugin-content-docs/version-2.1/table-design/data-type.md

@@ -21,7 +21,7 @@ Apache Doris 已支持的数据类型列表如下：
 | [LARGEINT](../sql-manual/basic-element/sql-data-types/numeric/LARGEINT)       | 16        | 有符号整数，范围 [-2^127 + 1 ~ 2^127 - 1]。                  |
 | [FLOAT](../sql-manual/basic-element/sql-data-types/numeric/FLOAT)          | 4         | 浮点数，范围 [-3.4*10^38 ~ 3.4*10^38]。                      |
 | [DOUBLE](../sql-manual/basic-element/sql-data-types/numeric/DOUBLE)         | 8         | 浮点数，范围 [-1.79*10^308 ~ 1.79*10^308]。                  |
-| [DECIMAL](../sql-manual/basic-element/sql-data-types/numeric/DECIMAL)        | 4/8/16/32    | 高精度定点数，格式：DECIMAL(P[,S])。其中，P 代表一共有多少个有效数字（precision），S 代表小数位有多少数字（scale）。有效数字 P 的范围是 [1, MAX_P]，`enable_decimal256`=false 时，MAX_P=38，`enable_decimal256`=true 时，MAX_P=76。小数位数字数量 S 的范围是 [0, P]。<br>`enable_decimal256` 的默认值是 false，设置为 true 可以获得更加精确的结果，但是会带来一些性能损失。<br>存储空间：<ul><li>0 < precision <= 9 时，占用 4 字节。<li>9 < precision <= 18 时，占用 8 字节。<li>16 < precision <= 38 时，占用 16 字节。<li>38 < precision <= 76 的场合，占用 32 字节。<ul>|
+| [DECIMAL](../sql-manual/basic-element/sql-data-types/numeric/DECIMAL)        | 4/8/16/32    | 高精度定点数，格式：DECIMAL(P[,S])。其中，P 代表一共有多少个有效数字（precision），S 代表小数位有多少数字（scale）。有效数字 P 的范围是 [1, MAX_P]，`enable_decimal256`=false 时，MAX_P=38，`enable_decimal256`=true 时，MAX_P=76。小数位数字数量 S 的范围是 [0, P]。<br>`enable_decimal256` 的默认值是 false，设置为 true 可以获得更加精确的结果，但是会带来一些性能损失。<br>存储空间：<ul><li>0 < precision <= 9 时，占用 4 字节。</li><li>9 < precision <= 18 时，占用 8 字节。</li><li>18 < precision <= 38 时，占用 16 字节。</li><li>38 < precision <= 76 的场合，占用 32 字节。</li></ul>|
 
 ### [日期类型](../sql-manual/basic-element/sql-data-types/data-type-overview#日期类型)
 

i18n/zh-CN/docusaurus-plugin-content-docs/version-2.1/table-design/index/ngram-bloomfilter-index.md

@@ -178,7 +178,7 @@ mysql> SELECT COUNT() FROM amazon_reviews;
 ```
 SELECT
     product_id,
-    any(product_title),
+    any_value(product_title),
     AVG(star_rating) AS rating,
     COUNT() AS count
 FROM

i18n/zh-CN/docusaurus-plugin-content-docs/version-3.x/data-operate/import/data-source/bigquery.md

@@ -99,7 +99,7 @@ PROPERTIES (
 
 2.2. **查看 GCS 上的导出文件**
 
-   以上命令会将 sales_data 的数据导出到 GCS 上，并且每个分区会产生一个或多个文件，文件名递增，具体可参考[exporting-data](https://cloud.google.com/bigquerydocs/exporting-data#exporting_data_into_one_or_more_files)，如下
+   以上命令会将 sales_data 的数据导出到 GCS 上，并且每个分区会产生一个或多个文件，文件名递增，具体可参考[exporting-data](https://cloud.google.com/bigquery/docs/exporting-data#exporting_data_into_one_or_more_files)，如下
    ![gcs_export](/images/data-operate/gcs_export.png)
 
 ## 3. 导入数据到 Doris

i18n/zh-CN/docusaurus-plugin-content-docs/version-3.x/lakehouse/catalogs/jdbc-catalog-overview.md

@@ -65,7 +65,7 @@ CREATE CATALOG [IF NOT EXISTS] catalog_name PROPERTIES (
 
       2. 本地绝对路径。如 `file:///path/to/mysql-connector-j-8.3.0.jar`。需将 Jar 包预先存放在所有 FE/BE 节点指定的路径下。
 
-      3. Http 地址。如：`http://repo1.maven.org/maven2/com/mysql/mysql-connector-j/8.3.0/mysql-connector-j-8.3.0.jar` 系统会从这个 Http 地址下载 Driver 文件。仅支持无认证的 Http 服务。  
+      3. Http 地址。如：`https://repo1.maven.org/maven2/com/mysql/mysql-connector-j/8.3.0/mysql-connector-j-8.3.0.jar` 系统会从这个 Http 地址下载 Driver 文件。仅支持无认证的 Http 服务。  
 
 
   * 可选属性