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i18n-zh-release-8.5: translate Cloud doc changes from pingcap/docs release-8.5 on 2026-10-27 #24559

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6 changes: 1 addition & 5 deletions TOC-tidb-cloud-starter.md
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- [排查从 Amazon S3 导入数据期间的访问被拒绝错误](/tidb-cloud/troubleshoot-import-access-denied-error.md)
- [将 AWS DMS 连接到 TiDB Cloud](/tidb-cloud/tidb-cloud-connect-aws-dms.md)
- 探索数据
- [SQL 编辑器中的 Chat2Query](/tidb-cloud/explore-data-with-chat2query.md) ![PREVIEW](/media/tidb-cloud/blank_transparent_placeholder.png)
- [SQL 编辑器](/tidb-cloud/explore-data-with-sql-editor.md) ![PREVIEW](/media/tidb-cloud/blank_transparent_placeholder.png)
- [SQL 代理账户](/tidb-cloud/sql-proxy-account.md)
- 数据服务 ![PREVIEW](/media/tidb-cloud/blank_transparent_placeholder.png)
- [概述](/tidb-cloud/data-service-overview.md)
- [快速上手](/tidb-cloud/data-service-get-started.md)
- Chat2Query API
- [快速上手](/tidb-cloud/use-chat2query-api.md)
- [启动多轮 Chat2Query](/tidb-cloud/use-chat2query-sessions.md)
- [使用知识库](/tidb-cloud/use-chat2query-knowledge.md)
- [管理数据应用](/tidb-cloud/data-service-manage-data-app.md)
- [管理端点](/tidb-cloud/data-service-manage-endpoint.md)
- [API 密钥](/tidb-cloud/data-service-api-key.md)
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6 changes: 1 addition & 5 deletions TOC-tidb-cloud.md
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- [数据迁移的预检查错误、迁移错误和警报](/tidb-cloud/tidb-cloud-dm-precheck-and-troubleshooting.md)
- [将 AWS DMS 连接到 TiDB Cloud](/tidb-cloud/tidb-cloud-connect-aws-dms.md)
- 探索数据
- [SQL 编辑器中的 Chat2Query](/tidb-cloud/explore-data-with-chat2query.md) ![PREVIEW](/media/tidb-cloud/blank_transparent_placeholder.png)
- [SQL 编辑器](/tidb-cloud/explore-data-with-sql-editor.md) ![PREVIEW](/media/tidb-cloud/blank_transparent_placeholder.png)
- [SQL 代理账户](/tidb-cloud/sql-proxy-account.md)
- 数据服务 ![PREVIEW](/media/tidb-cloud/blank_transparent_placeholder.png)
- [概述](/tidb-cloud/data-service-overview.md)
- [快速上手](/tidb-cloud/data-service-get-started.md)
- Chat2Query API
- [快速上手](/tidb-cloud/use-chat2query-api.md)
- [启动多轮 Chat2Query](/tidb-cloud/use-chat2query-sessions.md)
- [使用知识库](/tidb-cloud/use-chat2query-knowledge.md)
- [管理数据应用](/tidb-cloud/data-service-manage-data-app.md)
- [管理端点](/tidb-cloud/data-service-manage-endpoint.md)
- [API 密钥](/tidb-cloud/data-service-api-key.md)
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2 changes: 1 addition & 1 deletion latest_translation_commit.json
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{
"target": "release-8.5",
"sha": "212f51701c89f5ffe0a030e70a5ff32466af7646"
"sha": "d96fa6c87cc4d3710639c4245fb7528584dffffa"
}
124 changes: 124 additions & 0 deletions sql-statements/sql-statement-add-index.md
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| 'INVISIBLE'
| 'GLOBAL'
| 'LOCAL'
| 'WHERE' Expression

IndexType
::= 'BTREE'
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2 rows in set (0.00 sec)
```

## 部分索引

> **注意：**
>
> TiDB Self-Managed 和 TiDB Cloud Dedicated 从 v8.5.7 开始支持部分索引，TiDB Cloud Essential 和 Premium 从 CLOUD.202603.1 开始支持部分索引。

部分索引是建立在表中部分行上的索引。添加部分索引时，你可以指定一个条件表达式（也称为谓词）来定义这部分行。索引仅包含满足该谓词的行的条目。

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{"message":"[PingCAP.ZhPunctuation] Don't use Chinese punctuation (，) in English text.","location":{"path":"sql-statements/sql-statement-add-index.md","range":{"start":{"line":102,"column":76},"end":{"line":102,"column":79}}},"severity":"ERROR","code":{"value":"PingCAP.ZhPunctuation"}}

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### 使用场景

在以下场景中，使用部分索引有助于提升查询性能或减少索引维护开销：

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{"message":"[PingCAP.ZhPunctuation] Don't use Chinese punctuation (，) in English text.","location":{"path":"sql-statements/sql-statement-add-index.md","range":{"start":{"line":106,"column":19},"end":{"line":106,"column":22}}},"severity":"ERROR","code":{"value":"PingCAP.ZhPunctuation"}}

- **选择性过滤**：当你经常基于特定条件查询一小部分行时，可以使用部分索引。对于满足部分索引谓词的查询，TiDB 可以使用部分索引来避免扫描无关行，并减少索引占用的存储空间。

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{"message":"[PingCAP.ZhPunctuation] Don't use Chinese punctuation (。) in English text.","location":{"path":"sql-statements/sql-statement-add-index.md","range":{"start":{"line":108,"column":106},"end":{"line":108,"column":109}}},"severity":"ERROR","code":{"value":"PingCAP.ZhPunctuation"}}

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- **条件唯一性**：当你只需要对满足特定条件的行强制执行唯一性约束时，可以使用唯一部分索引，以避免将唯一性约束应用到整张表。
- **降低 DML 开销**：当大量 `INSERT`、`UPDATE` 或 `DELETE` 操作影响到不需要建立索引的行时，可以使用部分索引。与维护完整索引相比，维护部分索引可以减少索引维护开销。

### 添加部分索引

你可以通过在索引定义后追加 `WHERE` 子句来添加部分索引。例如：

```sql
CREATE TABLE t1 (c1 INT, c2 INT, c3 TEXT);
ALTER TABLE t1 ADD INDEX idx1 (c1) WHERE c2 > 10;
```

你还可以添加唯一部分索引：

```sql
ALTER TABLE t1 ADD UNIQUE INDEX idx2 (c1, c2) WHERE c3 = 'abc';
```

### 使用示例

以下示例演示了如何有效使用部分索引。

创建一个包含用户数据的表：

```sql
CREATE TABLE users (
id INT PRIMARY KEY AUTO_INCREMENT,
name VARCHAR(100),
status VARCHAR(20),
created_at DATETIME,
score INT
);
```

为常见查询模式添加部分索引：

```sql
ALTER TABLE users ADD INDEX idx_active_users (name) WHERE status = 'active';
ALTER TABLE users ADD INDEX idx_high_score_users (created_at) WHERE score > 1000;
ALTER TABLE users ADD INDEX idx_pending_status (status) WHERE status = 'pending';
```

然后，以下查询可以使用部分索引：

```sql
mysql> EXPLAIN SELECT * FROM users WHERE status = 'active' AND name = 'John';
+-------------------------------+---------+-----------+-------------------------------------------+-------------------------------------------------------+
| id | estRows | task | access object | operator info |
+-------------------------------+---------+-----------+-------------------------------------------+-------------------------------------------------------+
| IndexLookUp_9 | 1.00 | root | | |
| ├─IndexRangeScan_6(Build) | 10.00 | cop[tikv] | table:users, index:idx_active_users(name) | range:["John","John"], keep order:false, stats:pseudo |
| └─Selection_8(Probe) | 1.00 | cop[tikv] | | eq(test.users.status, "active") |
| └─TableRowIDScan_7 | 10.00 | cop[tikv] | table:users | keep order:false, stats:pseudo |
+-------------------------------+---------+-----------+-------------------------------------------+-------------------------------------------------------+
4 rows in set (0.00 sec)

mysql> EXPLAIN SELECT * FROM users WHERE status = 'active' ORDER BY name;
+-------------------------------+----------+-----------+-------------------------------------------+---------------------------------+
| id | estRows | task | access object | operator info |
+-------------------------------+----------+-----------+-------------------------------------------+---------------------------------+
| IndexLookUp_18 | 10.00 | root | | |
| ├─IndexFullScan_15(Build) | 10000.00 | cop[tikv] | table:users, index:idx_active_users(name) | keep order:true, stats:pseudo |
| └─Selection_17(Probe) | 10.00 | cop[tikv] | | eq(test.users.status, "active") |
| └─TableRowIDScan_16 | 10000.00 | cop[tikv] | table:users | keep order:false, stats:pseudo |
+-------------------------------+----------+-----------+-------------------------------------------+---------------------------------+
4 rows in set (0.00 sec)

mysql> EXPLAIN SELECT * FROM users WHERE score > 10000 ORDER BY created_at;
+-------------------------------+----------+-----------+-----------------------------------------------------+--------------------------------+
| id | estRows | task | access object | operator info |
+-------------------------------+----------+-----------+-----------------------------------------------------+--------------------------------+
| IndexLookUp_18 | 3333.33 | root | | |
| ├─IndexFullScan_15(Build) | 10000.00 | cop[tikv] | table:users, index:idx_high_score_users(created_at) | keep order:true, stats:pseudo |
| └─Selection_17(Probe) | 3333.33 | cop[tikv] | | gt(test.users.score, 10000) |
| └─TableRowIDScan_16 | 10000.00 | cop[tikv] | table:users | keep order:false, stats:pseudo |
+-------------------------------+----------+-----------+-----------------------------------------------------+--------------------------------+
4 rows in set (0.00 sec)

mysql> EXPLAIN SELECT * FROM users WHERE status = 'pending';
+-------------------------------+---------+-----------+-----------------------------------------------+-------------------------------------------------------------+
| id | estRows | task | access object | operator info |
+-------------------------------+---------+-----------+-----------------------------------------------+-------------------------------------------------------------+
| IndexLookUp_7 | 10.00 | root | | |
| ├─IndexRangeScan_5(Build) | 10.00 | cop[tikv] | table:users, index:idx_pending_status(status) | range:["pending","pending"], keep order:false, stats:pseudo |
| └─TableRowIDScan_6(Probe) | 10.00 | cop[tikv] | table:users | keep order:false, stats:pseudo |
+-------------------------------+---------+-----------+-----------------------------------------------+-------------------------------------------------------------+
3 rows in set (0.00 sec)
```

如果查询的谓词不满足部分索引定义的条件，TiDB 不会选择该部分索引，即使使用了 hint 也是如此。例如，以下语句无法使用部分索引 `idx_high_score_users`，因为查询谓词 `score > 100` 不满足部分索引定义 `score > 1000`：

```sql
mysql> EXPLAIN SELECT * FROM users USE INDEX(idx_high_score_users) WHERE score > 100 ORDER BY created_at;
+---------------------------+----------+-----------+---------------+--------------------------------+
| id | estRows | task | access object | operator info |
+---------------------------+----------+-----------+---------------+--------------------------------+
| Sort_5 | 3333.33 | root | | test.users.created_at |
| └─TableReader_10 | 3333.33 | root | | data:Selection_9 |
| └─Selection_9 | 3333.33 | cop[tikv] | | gt(test.users.score, 100) |
| └─TableFullScan_8 | 10000.00 | cop[tikv] | table:users | keep order:false, stats:pseudo |
+---------------------------+----------+-----------+---------------+--------------------------------+
```

### 限制

- 部分索引中的 `WHERE` 子句支持基本比较运算符（`=`、`!=`、`<`、`<=`、`>`、`>=`）、`IS NULL`、`IS NOT NULL` 以及带常量值的 `IN` 谓词。
- 谓词中的列和常量值必须具有相同的数据类型。
- 谓词只能引用同一张表中的列。
- 不能在表达式索引上创建部分索引。

## MySQL 兼容性

* TiDB 在语法上接受 `HASH`、`BTREE` 和 `RTREE` 等索引类型以兼容 MySQL，但会忽略这些类型。
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## 部分索引 {#partial-indexes}

<span class="version-mark">TiDB Self-Managed 和 TiDB Cloud Dedicated 从 v8.5.7 版本开始引入，TiDB Cloud Essential 和 Premium 从 CLOUD.202603.1 开始引入</span>
> **注意：**
>
> TiDB Self-Managed 和 TiDB Cloud Dedicated 从 v8.5.7 开始支持部分索引，TiDB Cloud Essential 和 Premium 从 CLOUD.202603.1 开始支持部分索引。

部分索引是建立在表中部分行子集上的索引。创建部分索引时，你可以指定一个条件表达式，也称为谓词，用于定义这个行子集。索引中仅包含满足该谓词的行的条目。

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</CustomContent>

<CustomContent platform="tidb-cloud">

### tidb_stmt_summary_group_by_user <span class="version-mark">在 CLOUD.202603.1 中引入</span> {#tidb_stmt_summary_group_by_user}

> **Note:**
>
> - 对于 TiDB Cloud Starter，此变量不受支持。
> - 对于 TiDB Cloud Essential 和 Premium，此变量为只读。

- Scope: GLOBAL
- Persists to cluster: Yes
- 是否受 Hint [SET_VAR](/optimizer-hints.md#set_varvar_namevar_value) 控制： No
- Type: Boolean
- Default value: TiDB Cloud Essential 和 TiDB Cloud Premium 为 `ON`
- 此变量控制是否将执行 SQL 语句的用户作为 [statement summary tables](/statement-summary-tables.md) 中的聚合维度之一。当此变量设置为 `OFF` 时，TiDB 会将不同用户执行的相同 SQL digest 聚合到同一行中，`SAMPLE_USER` 字段显示一个采样用户。当此变量设置为 `ON` 时，TiDB 会将不同用户执行的相同 SQL digest 分别聚合到不同的行中，每一行的 `SAMPLE_USER` 字段表示执行该语句的用户。
- 修改此变量会清除当前内存中的 statement summary 数据，因为修改前后的数据使用了不同的维度进行聚合。这不会影响持久化到磁盘的历史数据。
- 启用此变量后，statement summary 记录数可能会随着同一 SQL digest 的不同执行用户数量增加而增加，从而增加内存使用量。

</CustomContent>

### tidb_stmt_summary_history_size <span class="version-mark">从 v4.0 版本开始引入</span>

> **注意：**
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</CustomContent>

<CustomContent platform="tidb-cloud">

### tidb_stmt_summary_persist_evicted <span class="version-mark">在 CLOUD.202603.1 中引入</span> {#tidb_stmt_summary_persist_evicted}

> **Note:**
>
> - 对于 TiDB Cloud Starter，此变量不受支持。
> - 对于 TiDB Cloud Essential 和 Premium，此变量为只读。

- Scope: GLOBAL
- Persists to cluster: Yes
- 是否受 Hint [SET_VAR](/optimizer-hints.md#set_varvar_namevar_value) 控制： No
- Type: Boolean
- Default value: `OFF`
- 此变量控制在启用[语句摘要持久化](/statement-summary-tables.md#persist-statements-summary)后，是否将被 LRU 淘汰的 statement summary 记录写入 statement summary 日志。TiDB 会将这些 JSON 记录标记为 `"evicted": true`，以便下游日志消费者识别它们。
- 此变量仅在启用 [tidb_stmt_summary_enable_persistent](/system-variables.md#tidb_stmt_summary_enable_persistent-new-in-v660) 时生效。TiDB 不会将标记为 `"evicted": true` 的记录作为 `statements_summary_history` 或 `cluster_statements_summary_history` 的查询结果返回。
- 启用此变量后，随着 LRU 淘汰变得更频繁，日志量会增加。TiDB 使用异步缓冲机制写入被淘汰的记录。当缓冲队列已满时，TiDB 可能会丢弃新的被淘汰记录。

</CustomContent>

### tidb_stmt_summary_refresh_interval <span class="version-mark">从 v4.0 版本开始引入</span>

> **注意：**
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刷新操作会为 `default` catalog 中的所有视图校正血缘信息。它只会报告需要变更或无法处理的视图；未发生变化的视图不会显示。该命令需要全局 `SUPER` 权限。有关输出详情，请参见 [`REFRESH LINEAGE`](/tidb-cloud-lake/sql/refresh-lineage.md)。

## 导出到 OpenMetadata {#export-to-openmetadata}

要在 [OpenMetadata](https://open-metadata.org) 中查看 {{{ .lake }}} 血缘，请使用 [lake-openmetadata-ingestion](https://github.com/tidbcloud/lake-openmetadata-ingestion)。该工具通过 REST API 将 {{{ .lake }}} 中的元信息（数据库、表、视图和列）和血缘（表级别和列级别）推送到 OpenMetadata。有关安装、配置和使用方法，请参阅该项目的 [README](https://github.com/tidbcloud/lake-openmetadata-ingestion)。

> **注意：**
>
> - 该工具当前仅支持元信息和血缘导入。
> - 对于初始同步，请先运行 `lake-om -c config.yaml metadata` 直至完成，然后运行 `lake-om -c config.yaml lineage --full`。如果某条血缘边的任一端点在 OpenMetadata 中尚不存在，则会跳过该血缘边。
> - 对于持续同步，请调度 cron 或 Airflow 工作流，先运行 `lake-om -c config.yaml metadata` 直至完成，再运行 `lake-om -c config.yaml lineage`。长时间中断后，请运行 `lake-om -c config.yaml lineage --full`。

## 限制 {#limitations}

- `GET_LINEAGE` 最多只能遍历五跳。
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Expand Up @@ -5,16 +5,10 @@ summary: 了解 TiDB Cloud 的 AI 功能。

# AI 功能

TiDB Cloud 的 AI 功能使你能够充分利用先进技术进行数据探索、搜索和集成。从基于自然语言驱动的 SQL 查询生成，到高性能向量搜索，TiDB 将数据库能力与现代 AI 功能相结合，为创新应用提供动力。TiDB 支持主流 AI 框架、embedding 模型，并可与 ORM 库无缝集成，为语义搜索和 AI 驱动分析等场景提供了多样化的平台。
TiDB Cloud 的 AI 功能使你能够充分利用先进技术进行数据探索、搜索和集成。TiDB 将数据库能力与现代 AI 功能相结合，为创新应用提供动力。TiDB 支持主流 AI 框架、嵌入模型，并可与 ORM 库无缝集成，为语义搜索和 AI 驱动分析等场景提供了多样化的平台。

本文档将重点介绍这些 AI 功能及其如何提升 TiDB 体验。

## Chat2Query（PREVIEW） {#chat2query-preview}

Chat2Query 是集成在 SQL Editor 中的 AI 驱动功能，能够帮助用户通过自然语言指令生成、调试或重写 SQL 查询。更多信息，参见 [Explore your data with AI-assisted SQL Editor](/tidb-cloud/explore-data-with-chat2query.md)。

此外，TiDB Cloud 为 TiDB Cloud Starter 实例提供了 Chat2Query API。启用后，TiDB Cloud 会自动创建一个名为 Chat2Query 的系统 Data App，以及一个 Data Service 中的 Chat2Data endpoint。你可以调用该 endpoint，通过提供指令让 AI 生成并执行 SQL 语句。更多信息，参见 [Get started with Chat2Query API](/tidb-cloud/use-chat2query-api.md)。

## 向量搜索（PREVIEW） {#vector-search-preview}

向量搜索是一种以数据语义为优先级的搜索方法，能够返回更相关的结果。
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Expand Up @@ -134,6 +134,12 @@ TiDB Cloud Lake 在一个平台中支持 ANSI SQL、半结构化数据处理、

更多详情，请参见 [TiDB Cloud Lake Overview](https://docs.pingcap.com/tidbcloudlake/lake-overview/)。

## TiDB Cloud Filesystem {#tidb-cloud-filesystem}

TiDB Cloud Filesystem 提供持久、共享的文件存储，独立于访问它的机器和进程。你可以使用 `ti fs` 命令访问文件，或将文件系统挂载为本地目录，而无需预配或管理 TiDB 数据库。

更多详细信息，请参见 [TiDB Cloud Filesystem](https://docs.pingcap.com/tidbcloud-filesystem/filesystem-intro/)。

## TiDB Cloud 控制台

[TiDB Cloud 控制台](https://tidbcloud.com/) 是 TiDB Cloud 资源的基于 Web 的管理界面。你可以通过该平台管理 TiDB Cloud 资源、导入或迁移数据、监控性能指标、配置备份、设置安全控制，并与其他云服务集成，所有操作均可在一个用户友好的平台上完成。
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