This is an automated email from the ASF dual-hosted git repository.
haonan pushed a commit to branch main
in repository https://gitbox.apache.org/repos/asf/iotdb-docs.git
The following commit(s) were added to refs/heads/main by this push:
new 274bb0e fix debug (#362)
274bb0e is described below
commit 274bb0e67e94489088e2d95d29900f2782081934
Author: majialin <[email protected]>
AuthorDate: Tue Sep 24 16:54:07 2024 +0800
fix debug (#362)
---
src/UserGuide/Master/QuickStart/QuickStart_apache.md | 16 ++++++++--------
.../Master/QuickStart/QuickStart_timecho.md | 6 +++---
src/UserGuide/latest/QuickStart/QuickStart_apache.md | 16 ++++++++--------
.../latest/QuickStart/QuickStart_timecho.md | 6 +++---
.../UserGuide/Master/QuickStart/QuickStart_apache.md | 11 ++++++++---
.../Master/QuickStart/QuickStart_timecho.md | 20 +++++++++++++++++---
.../UserGuide/latest/QuickStart/QuickStart_apache.md | 11 ++++++++---
.../latest/QuickStart/QuickStart_timecho.md | 20 +++++++++++++++++---
8 files changed, 72 insertions(+), 34 deletions(-)
diff --git a/src/UserGuide/Master/QuickStart/QuickStart_apache.md
b/src/UserGuide/Master/QuickStart/QuickStart_apache.md
index b8b1a76..7005700 100644
--- a/src/UserGuide/Master/QuickStart/QuickStart_apache.md
+++ b/src/UserGuide/Master/QuickStart/QuickStart_apache.md
@@ -32,11 +32,11 @@ This document will help you quickly install and deploy
IoTDB. You can quickly lo
3. Get installation package:You can visit [Apache IoTDB official
website](https://iotdb.apache.org/zh/Download/ ) Get the IoTDB installation
package.The specific installation package structure can be viewed: [Obtain
IoTDB](../Deployment-and-Maintenance/IoTDB-Package_apache.md)
-4. Install database：You can choose the following tutorials for installation
and deployment based on the actual deployment architecture:
+4. Install database: You can choose the following tutorials for installation
and deployment based on the actual deployment architecture:
- - Stand-Alone Deployment：[Stand-Alone
Deployment](../Deployment-and-Maintenance/Stand-Alone-Deployment_apache.md)
+ - Stand-Alone Deployment: [Stand-Alone
Deployment](../Deployment-and-Maintenance/Stand-Alone-Deployment_apache.md)
- - Cluster Deployment：[Cluster
Deployment](../Deployment-and-Maintenance/Cluster-Deployment_apache.md)
+ - Cluster Deployment: [Cluster
Deployment](../Deployment-and-Maintenance/Cluster-Deployment_apache.md)
> ❗️Attention: Currently, we still recommend installing and deploying directly
> on physical/virtual machines. If Docker deployment is required, please refer
> to: [Docker
> Deployment](../Deployment-and-Maintenance/Docker-Deployment_apache.md)
@@ -44,9 +44,9 @@ This document will help you quickly install and deploy IoTDB.
You can quickly lo
1. Database modeling design: Database modeling is an important step in
creating a database system, which involves designing the structure and
relationships of data to ensure that the organization of data meets the
specific application requirements. The following document will help you quickly
understand the modeling design of IoTDB:
- - Introduction to the concept of timeseries：[Navigating Time Series
Data](../Basic-Concept/Navigating_Time_Series_Data.md)
+ - Introduction to the concept of timeseries: [Navigating Time Series
Data](../Basic-Concept/Navigating_Time_Series_Data.md)
- - Introduction to Modeling Design:：[Data
Model](../Basic-Concept/Data-Model-and-Terminology.md)
+ - Introduction to Modeling Design: [Data
Model](../Basic-Concept/Data-Model-and-Terminology.md)
- SQL syntax introduction: [Operate
Metadata](../User-Manual/Operate-Metadata_apache.md)
@@ -68,11 +68,11 @@ This document will help you quickly install and deploy
IoTDB. You can quickly lo
In addition to its rich features, IoTDB also has a comprehensive range of
tools in its surrounding system. This document will help you quickly use the
peripheral tool system :
-- Benchmark Tool: IoT benchmark is a time series database benchmark testing
tool developed based on Java and big data environments, developed and open
sourced by the School of Software at Tsinghua University. It supports multiple
writing and querying methods, can store test information and results for
further query or analysis, and supports integration with Tableau to visualize
test results. For specific usage instructions, please refer to:[Benchmark
Tool](../Tools-System/Benchmark.md)
+ - Benchmark Tool: IoT benchmark is a time series database benchmark testing
tool developed based on Java and big data environments, developed and open
sourced by the School of Software at Tsinghua University. It supports multiple
writing and querying methods, can store test information and results for
further query or analysis, and supports integration with Tableau to visualize
test results. For specific usage instructions, please refer to: [Benchmark
Tool](../Tools-System/Benchmark.md)
-- Data Import Export Script: Used to achieve the interaction between internal
data and external files in IoTDB, suitable for batch operations of individual
files or directory files. For specific usage instructions, please refer to:
[Data Import Export Script](../Tools-System/Data-Import-Export-Tool.md)
+ - Data Import Export Script: Used to achieve the interaction between
internal data and external files in IoTDB, suitable for batch operations of
individual files or directory files. For specific usage instructions, please
refer to: [Data Import Export
Script](../Tools-System/Data-Import-Export-Tool.md)
-- TsFile Import Export Script: For different scenarios, IoTDB provides users
with multiple ways to batch import data. For specific usage instructions,
please refer to: [TsFile Import Export
Script](../Tools-System/TsFile-Import-Export-Tool.md)
+ - TsFile Import Export Script: For different scenarios, IoTDB provides
users with multiple ways to batch import data. For specific usage instructions,
please refer to: [TsFile Import Export
Script](../Tools-System/TsFile-Import-Export-Tool.md)
## Encountering problems during use?
diff --git a/src/UserGuide/Master/QuickStart/QuickStart_timecho.md
b/src/UserGuide/Master/QuickStart/QuickStart_timecho.md
index 72574c3..796d716 100644
--- a/src/UserGuide/Master/QuickStart/QuickStart_timecho.md
+++ b/src/UserGuide/Master/QuickStart/QuickStart_timecho.md
@@ -80,11 +80,11 @@ This document will help you quickly install and deploy
IoTDB. You can quickly lo
In addition to its rich features, IoTDB also has a comprehensive range of
tools in its surrounding system. This document will help you quickly use the
peripheral tool system :
-- Benchmark Tool: IoT benchmark is a time series database benchmark testing
tool developed based on Java and big data environments, developed and open
sourced by the School of Software at Tsinghua University. It supports multiple
writing and querying methods, can store test information and results for
further query or analysis, and supports integration with Tableau to visualize
test results. For specific usage instructions, please refer to: [Benchmark
Tool](../Tools-System/Benchmark.md)
+ - Benchmark Tool: IoT benchmark is a time series database benchmark testing
tool developed based on Java and big data environments, developed and open
sourced by the School of Software at Tsinghua University. It supports multiple
writing and querying methods, can store test information and results for
further query or analysis, and supports integration with Tableau to visualize
test results. For specific usage instructions, please refer to: [Benchmark
Tool](../Tools-System/Benchmark.md)
-- Data Import Export Script: Used to achieve the interaction between internal
data and external files in IoTDB, suitable for batch operations of individual
files or directory files. For specific usage instructions, please refer to:
[Data Import Export Script](../Tools-System/Data-Import-Export-Tool.md)
+ - Data Import Export Script: Used to achieve the interaction between
internal data and external files in IoTDB, suitable for batch operations of
individual files or directory files. For specific usage instructions, please
refer to: [Data Import Export
Script](../Tools-System/Data-Import-Export-Tool.md)
-- TsFile Import Export Script: For different scenarios, IoTDB provides users
with multiple ways to batch import data. For specific usage instructions,
please refer to: [TsFile Import Export
Script](../Tools-System/TsFile-Import-Export-Tool.md)
+ - TsFile Import Export Script: For different scenarios, IoTDB provides
users with multiple ways to batch import data. For specific usage instructions,
please refer to: [TsFile Import Export
Script](../Tools-System/TsFile-Import-Export-Tool.md)
## Encountering problems during use?
diff --git a/src/UserGuide/latest/QuickStart/QuickStart_apache.md
b/src/UserGuide/latest/QuickStart/QuickStart_apache.md
index b8b1a76..7005700 100644
--- a/src/UserGuide/latest/QuickStart/QuickStart_apache.md
+++ b/src/UserGuide/latest/QuickStart/QuickStart_apache.md
@@ -32,11 +32,11 @@ This document will help you quickly install and deploy
IoTDB. You can quickly lo
3. Get installation package:You can visit [Apache IoTDB official
website](https://iotdb.apache.org/zh/Download/ ) Get the IoTDB installation
package.The specific installation package structure can be viewed: [Obtain
IoTDB](../Deployment-and-Maintenance/IoTDB-Package_apache.md)
-4. Install database：You can choose the following tutorials for installation
and deployment based on the actual deployment architecture:
+4. Install database: You can choose the following tutorials for installation
and deployment based on the actual deployment architecture:
- - Stand-Alone Deployment：[Stand-Alone
Deployment](../Deployment-and-Maintenance/Stand-Alone-Deployment_apache.md)
+ - Stand-Alone Deployment: [Stand-Alone
Deployment](../Deployment-and-Maintenance/Stand-Alone-Deployment_apache.md)
- - Cluster Deployment：[Cluster
Deployment](../Deployment-and-Maintenance/Cluster-Deployment_apache.md)
+ - Cluster Deployment: [Cluster
Deployment](../Deployment-and-Maintenance/Cluster-Deployment_apache.md)
> ❗️Attention: Currently, we still recommend installing and deploying directly
> on physical/virtual machines. If Docker deployment is required, please refer
> to: [Docker
> Deployment](../Deployment-and-Maintenance/Docker-Deployment_apache.md)
@@ -44,9 +44,9 @@ This document will help you quickly install and deploy IoTDB.
You can quickly lo
1. Database modeling design: Database modeling is an important step in
creating a database system, which involves designing the structure and
relationships of data to ensure that the organization of data meets the
specific application requirements. The following document will help you quickly
understand the modeling design of IoTDB:
- - Introduction to the concept of timeseries：[Navigating Time Series
Data](../Basic-Concept/Navigating_Time_Series_Data.md)
+ - Introduction to the concept of timeseries: [Navigating Time Series
Data](../Basic-Concept/Navigating_Time_Series_Data.md)
- - Introduction to Modeling Design:：[Data
Model](../Basic-Concept/Data-Model-and-Terminology.md)
+ - Introduction to Modeling Design: [Data
Model](../Basic-Concept/Data-Model-and-Terminology.md)
- SQL syntax introduction: [Operate
Metadata](../User-Manual/Operate-Metadata_apache.md)
@@ -68,11 +68,11 @@ This document will help you quickly install and deploy
IoTDB. You can quickly lo
In addition to its rich features, IoTDB also has a comprehensive range of
tools in its surrounding system. This document will help you quickly use the
peripheral tool system :
-- Benchmark Tool: IoT benchmark is a time series database benchmark testing
tool developed based on Java and big data environments, developed and open
sourced by the School of Software at Tsinghua University. It supports multiple
writing and querying methods, can store test information and results for
further query or analysis, and supports integration with Tableau to visualize
test results. For specific usage instructions, please refer to:[Benchmark
Tool](../Tools-System/Benchmark.md)
+ - Benchmark Tool: IoT benchmark is a time series database benchmark testing
tool developed based on Java and big data environments, developed and open
sourced by the School of Software at Tsinghua University. It supports multiple
writing and querying methods, can store test information and results for
further query or analysis, and supports integration with Tableau to visualize
test results. For specific usage instructions, please refer to: [Benchmark
Tool](../Tools-System/Benchmark.md)
-- Data Import Export Script: Used to achieve the interaction between internal
data and external files in IoTDB, suitable for batch operations of individual
files or directory files. For specific usage instructions, please refer to:
[Data Import Export Script](../Tools-System/Data-Import-Export-Tool.md)
+ - Data Import Export Script: Used to achieve the interaction between
internal data and external files in IoTDB, suitable for batch operations of
individual files or directory files. For specific usage instructions, please
refer to: [Data Import Export
Script](../Tools-System/Data-Import-Export-Tool.md)
-- TsFile Import Export Script: For different scenarios, IoTDB provides users
with multiple ways to batch import data. For specific usage instructions,
please refer to: [TsFile Import Export
Script](../Tools-System/TsFile-Import-Export-Tool.md)
+ - TsFile Import Export Script: For different scenarios, IoTDB provides
users with multiple ways to batch import data. For specific usage instructions,
please refer to: [TsFile Import Export
Script](../Tools-System/TsFile-Import-Export-Tool.md)
## Encountering problems during use?
diff --git a/src/UserGuide/latest/QuickStart/QuickStart_timecho.md
b/src/UserGuide/latest/QuickStart/QuickStart_timecho.md
index 72574c3..796d716 100644
--- a/src/UserGuide/latest/QuickStart/QuickStart_timecho.md
+++ b/src/UserGuide/latest/QuickStart/QuickStart_timecho.md
@@ -80,11 +80,11 @@ This document will help you quickly install and deploy
IoTDB. You can quickly lo
In addition to its rich features, IoTDB also has a comprehensive range of
tools in its surrounding system. This document will help you quickly use the
peripheral tool system :
-- Benchmark Tool: IoT benchmark is a time series database benchmark testing
tool developed based on Java and big data environments, developed and open
sourced by the School of Software at Tsinghua University. It supports multiple
writing and querying methods, can store test information and results for
further query or analysis, and supports integration with Tableau to visualize
test results. For specific usage instructions, please refer to: [Benchmark
Tool](../Tools-System/Benchmark.md)
+ - Benchmark Tool: IoT benchmark is a time series database benchmark testing
tool developed based on Java and big data environments, developed and open
sourced by the School of Software at Tsinghua University. It supports multiple
writing and querying methods, can store test information and results for
further query or analysis, and supports integration with Tableau to visualize
test results. For specific usage instructions, please refer to: [Benchmark
Tool](../Tools-System/Benchmark.md)
-- Data Import Export Script: Used to achieve the interaction between internal
data and external files in IoTDB, suitable for batch operations of individual
files or directory files. For specific usage instructions, please refer to:
[Data Import Export Script](../Tools-System/Data-Import-Export-Tool.md)
+ - Data Import Export Script: Used to achieve the interaction between
internal data and external files in IoTDB, suitable for batch operations of
individual files or directory files. For specific usage instructions, please
refer to: [Data Import Export
Script](../Tools-System/Data-Import-Export-Tool.md)
-- TsFile Import Export Script: For different scenarios, IoTDB provides users
with multiple ways to batch import data. For specific usage instructions,
please refer to: [TsFile Import Export
Script](../Tools-System/TsFile-Import-Export-Tool.md)
+ - TsFile Import Export Script: For different scenarios, IoTDB provides
users with multiple ways to batch import data. For specific usage instructions,
please refer to: [TsFile Import Export
Script](../Tools-System/TsFile-Import-Export-Tool.md)
## Encountering problems during use?
diff --git a/src/zh/UserGuide/Master/QuickStart/QuickStart_apache.md
b/src/zh/UserGuide/Master/QuickStart/QuickStart_apache.md
index 6224c7d..79e33f6 100644
--- a/src/zh/UserGuide/Master/QuickStart/QuickStart_apache.md
+++ b/src/zh/UserGuide/Master/QuickStart/QuickStart_apache.md
@@ -28,10 +28,15 @@
本篇文档将帮助您快速安装部署 IoTDB，您可以通过以下文档的链接快速定位到所需要查看的内容：
1. 准备所需机器资源：IoTDB 的部署和运行需要考虑多个方面的机器资源配置。具体资源配置可查看
[资源规划](../Deployment-and-Maintenance/Database-Resources.md)
+
2. 完成系统配置准备：IoTDB 的系统配置涉及多个方面，关键的系统配置介绍可查看
[系统配置](../Deployment-and-Maintenance/Environment-Requirements.md)
+
3. 获取安装包：您可以在[ Apache IoTDB 官网](https://iotdb.apache.org/zh/Download/)获取获取
IoTDB
安装包。具体安装包结构可查看：[安装包获取](../Deployment-and-Maintenance/IoTDB-Package_apache.md)
+
4. 安装数据库：您可以根据实际部署架构选择以下教程进行安装部署：
+
- 单机版：[单机版](../Deployment-and-Maintenance/Stand-Alone-Deployment_apache.md)
+
- 集群版：[集群版](../Deployment-and-Maintenance/Cluster-Deployment_apache.md)
> ❗️注意：目前我们仍然推荐直接在物理机/虚拟机上安装部署，如需要 docker 部署，可参考：[Docker
> 部署](../Deployment-and-Maintenance/Docker-Deployment_apache.md)
@@ -64,11 +69,11 @@
IoTDB 除了自身拥有丰富的功能外，其周边的工具体系包含的种类十分齐全。本篇文档将帮助您快速使用周边工具体系：
-- 测试工具：IoT-benchmark 是一个基于 Java
和大数据环境开发的时序数据库基准测试工具，由清华大学软件学院研发并开源。它支持多种写入和查询方式，能够存储测试信息和结果供进一步查询或分析，并支持与
Tableau 集成以可视化测试结果。具体使用介绍请查看：[测试工具](../Tools-System/Benchmark.md)
+ - 测试工具：IoT-benchmark 是一个基于 Java
和大数据环境开发的时序数据库基准测试工具，由清华大学软件学院研发并开源。它支持多种写入和查询方式，能够存储测试信息和结果供进一步查询或分析，并支持与
Tableau 集成以可视化测试结果。具体使用介绍请查看：[测试工具](../Tools-System/Benchmark.md)
-- 数据导入导出脚本：用于实现 IoTDB
内部数据与外部文件的交互，适用于单个文件或目录文件批量操作，具体使用介绍请查看：[数据导入导出脚本](../Tools-System/Data-Import-Export-Tool.md)
+ - 数据导入导出脚本：用于实现 IoTDB
内部数据与外部文件的交互，适用于单个文件或目录文件批量操作，具体使用介绍请查看：[数据导入导出脚本](../Tools-System/Data-Import-Export-Tool.md)
-- TsFile 导入导出脚本：针对于不同场景，IoTDB 为用户提供多种批量导入数据的操作方式，具体使用介绍请查看：[TsFile
导入导出脚本](../Tools-System/TsFile-Import-Export-Tool.md)
+ - TsFile 导入导出脚本：针对于不同场景，IoTDB 为用户提供多种批量导入数据的操作方式，具体使用介绍请查看：[TsFile
导入导出脚本](../Tools-System/TsFile-Import-Export-Tool.md)
## 使用过程中遇到问题？
diff --git a/src/zh/UserGuide/Master/QuickStart/QuickStart_timecho.md
b/src/zh/UserGuide/Master/QuickStart/QuickStart_timecho.md
index b894a2b..2ee3e47 100644
--- a/src/zh/UserGuide/Master/QuickStart/QuickStart_timecho.md
+++ b/src/zh/UserGuide/Master/QuickStart/QuickStart_timecho.md
@@ -52,26 +52,40 @@
## 如何使用？
1.
数据库建模设计：数据库建模是创建数据库系统的重要步骤，它涉及到设计数据的结构和关系，以确保数据的组织方式能够满足特定应用的需求，下面的文档将会帮助您快速了解
IoTDB 的建模设计：
+
- 时序概念介绍：[走进时序数据](../Basic-Concept/Navigating_Time_Series_Data.md)
+
- 建模设计介绍：[数据模型介绍](../Basic-Concept/Data-Model-and-Terminology.md)
+
- SQL 语法介绍：[SQL 语法介绍](../User-Manual/Operate-Metadata_timecho.md)
+
2. 数据写入：在数据写入方面，IoTDB 提供了多种方式来插入实时数据，基本的数据写入操作请查看
[数据写入](../User-Manual/Write-Delete-Data.md)
+
3. 数据查询：IoTDB 提供了丰富的数据查询功能，数据查询的基本介绍请查看 [数据查询](../User-Manual/Query-Data.md)
+
4. 其他进阶功能：除了数据库常见的写入、查询等功能外，IoTDB 还支持“数据同步、流处理框架、安全控制、权限管理、AI
分析”等功能，具体使用方法可参见具体文档：
+
- 数据同步：[数据同步](../User-Manual/Data-Sync_timecho.md)
+
- 流处理框架：[流处理框架](../User-Manual/Streaming_timecho.md)
+
- 安全控制：[安全控制](../User-Manual/Security-Management_timecho.md)
+
- 权限管理：[权限管理](../User-Manual/Authority-Management.md)
+
- AI 分析：[AI 能力](../User-Manual/AINode_timecho.md)
+
5. 应用编程接口： IoTDB 提供了多种应用编程接口（API），以便于开发者在应用程序中与 IoTDB 进行交互，目前支持[ Java
原生接口](../API/Programming-Java-Native-API.md)、[Python
原生接口](../API/Programming-Python-Native-API.md)、[C++原生接口](../API/Programming-Cpp-Native-API.md)、[Go
原生接口](../API/Programming-Go-Native-API.md)等，更多编程接口可参见官网【应用编程接口】其他章节
## 还有哪些便捷的周边工具？
IoTDB 除了自身拥有丰富的功能外，其周边的工具体系包含的种类十分齐全。本篇文档将帮助您快速使用周边工具体系：
-- 测试工具：IoT-benchmark 是一个基于 Java
和大数据环境开发的时序数据库基准测试工具，由清华大学软件学院研发并开源。它支持多种写入和查询方式，能够存储测试信息和结果供进一步查询或分析，并支持与
Tableau 集成以可视化测试结果。具体使用介绍请查看：[测试工具](../Tools-System/Benchmark.md)
-- 数据导入导出脚本：用于实现 IoTDB
内部数据与外部文件的交互，适用于单个文件或目录文件批量操作，具体使用介绍请查看：[数据导入导出脚本](../Tools-System/Data-Import-Export-Tool.md)
-- TsFile 导入导出脚本：针对于不同场景，IoTDB 为用户提供多种批量导入数据的操作方式，具体使用介绍请查看：[TsFile
导入导出脚本](../Tools-System/TsFile-Import-Export-Tool.md)
+ - 测试工具：IoT-benchmark 是一个基于 Java
和大数据环境开发的时序数据库基准测试工具，由清华大学软件学院研发并开源。它支持多种写入和查询方式，能够存储测试信息和结果供进一步查询或分析，并支持与
Tableau 集成以可视化测试结果。具体使用介绍请查看：[测试工具](../Tools-System/Benchmark.md)
+
+ - 数据导入导出脚本：用于实现 IoTDB
内部数据与外部文件的交互，适用于单个文件或目录文件批量操作，具体使用介绍请查看：[数据导入导出脚本](../Tools-System/Data-Import-Export-Tool.md)
+
+ - TsFile 导入导出脚本：针对于不同场景，IoTDB 为用户提供多种批量导入数据的操作方式，具体使用介绍请查看：[TsFile
导入导出脚本](../Tools-System/TsFile-Import-Export-Tool.md)
## 使用过程中遇到问题？
diff --git a/src/zh/UserGuide/latest/QuickStart/QuickStart_apache.md
b/src/zh/UserGuide/latest/QuickStart/QuickStart_apache.md
index 6224c7d..79e33f6 100644
--- a/src/zh/UserGuide/latest/QuickStart/QuickStart_apache.md
+++ b/src/zh/UserGuide/latest/QuickStart/QuickStart_apache.md
@@ -28,10 +28,15 @@
本篇文档将帮助您快速安装部署 IoTDB，您可以通过以下文档的链接快速定位到所需要查看的内容：
1. 准备所需机器资源：IoTDB 的部署和运行需要考虑多个方面的机器资源配置。具体资源配置可查看
[资源规划](../Deployment-and-Maintenance/Database-Resources.md)
+
2. 完成系统配置准备：IoTDB 的系统配置涉及多个方面，关键的系统配置介绍可查看
[系统配置](../Deployment-and-Maintenance/Environment-Requirements.md)
+
3. 获取安装包：您可以在[ Apache IoTDB 官网](https://iotdb.apache.org/zh/Download/)获取获取
IoTDB
安装包。具体安装包结构可查看：[安装包获取](../Deployment-and-Maintenance/IoTDB-Package_apache.md)
+
4. 安装数据库：您可以根据实际部署架构选择以下教程进行安装部署：
+
- 单机版：[单机版](../Deployment-and-Maintenance/Stand-Alone-Deployment_apache.md)
+
- 集群版：[集群版](../Deployment-and-Maintenance/Cluster-Deployment_apache.md)
> ❗️注意：目前我们仍然推荐直接在物理机/虚拟机上安装部署，如需要 docker 部署，可参考：[Docker
> 部署](../Deployment-and-Maintenance/Docker-Deployment_apache.md)
@@ -64,11 +69,11 @@
IoTDB 除了自身拥有丰富的功能外，其周边的工具体系包含的种类十分齐全。本篇文档将帮助您快速使用周边工具体系：
-- 测试工具：IoT-benchmark 是一个基于 Java
和大数据环境开发的时序数据库基准测试工具，由清华大学软件学院研发并开源。它支持多种写入和查询方式，能够存储测试信息和结果供进一步查询或分析，并支持与
Tableau 集成以可视化测试结果。具体使用介绍请查看：[测试工具](../Tools-System/Benchmark.md)
+ - 测试工具：IoT-benchmark 是一个基于 Java
和大数据环境开发的时序数据库基准测试工具，由清华大学软件学院研发并开源。它支持多种写入和查询方式，能够存储测试信息和结果供进一步查询或分析，并支持与
Tableau 集成以可视化测试结果。具体使用介绍请查看：[测试工具](../Tools-System/Benchmark.md)
-- 数据导入导出脚本：用于实现 IoTDB
内部数据与外部文件的交互，适用于单个文件或目录文件批量操作，具体使用介绍请查看：[数据导入导出脚本](../Tools-System/Data-Import-Export-Tool.md)
+ - 数据导入导出脚本：用于实现 IoTDB
内部数据与外部文件的交互，适用于单个文件或目录文件批量操作，具体使用介绍请查看：[数据导入导出脚本](../Tools-System/Data-Import-Export-Tool.md)
-- TsFile 导入导出脚本：针对于不同场景，IoTDB 为用户提供多种批量导入数据的操作方式，具体使用介绍请查看：[TsFile
导入导出脚本](../Tools-System/TsFile-Import-Export-Tool.md)
+ - TsFile 导入导出脚本：针对于不同场景，IoTDB 为用户提供多种批量导入数据的操作方式，具体使用介绍请查看：[TsFile
导入导出脚本](../Tools-System/TsFile-Import-Export-Tool.md)
## 使用过程中遇到问题？
diff --git a/src/zh/UserGuide/latest/QuickStart/QuickStart_timecho.md
b/src/zh/UserGuide/latest/QuickStart/QuickStart_timecho.md
index b894a2b..2ee3e47 100644
--- a/src/zh/UserGuide/latest/QuickStart/QuickStart_timecho.md
+++ b/src/zh/UserGuide/latest/QuickStart/QuickStart_timecho.md
@@ -52,26 +52,40 @@
## 如何使用？
1.
数据库建模设计：数据库建模是创建数据库系统的重要步骤，它涉及到设计数据的结构和关系，以确保数据的组织方式能够满足特定应用的需求，下面的文档将会帮助您快速了解
IoTDB 的建模设计：
+
- 时序概念介绍：[走进时序数据](../Basic-Concept/Navigating_Time_Series_Data.md)
+
- 建模设计介绍：[数据模型介绍](../Basic-Concept/Data-Model-and-Terminology.md)
+
- SQL 语法介绍：[SQL 语法介绍](../User-Manual/Operate-Metadata_timecho.md)
+
2. 数据写入：在数据写入方面，IoTDB 提供了多种方式来插入实时数据，基本的数据写入操作请查看
[数据写入](../User-Manual/Write-Delete-Data.md)
+
3. 数据查询：IoTDB 提供了丰富的数据查询功能，数据查询的基本介绍请查看 [数据查询](../User-Manual/Query-Data.md)
+
4. 其他进阶功能：除了数据库常见的写入、查询等功能外，IoTDB 还支持“数据同步、流处理框架、安全控制、权限管理、AI
分析”等功能，具体使用方法可参见具体文档：
+
- 数据同步：[数据同步](../User-Manual/Data-Sync_timecho.md)
+
- 流处理框架：[流处理框架](../User-Manual/Streaming_timecho.md)
+
- 安全控制：[安全控制](../User-Manual/Security-Management_timecho.md)
+
- 权限管理：[权限管理](../User-Manual/Authority-Management.md)
+
- AI 分析：[AI 能力](../User-Manual/AINode_timecho.md)
+
5. 应用编程接口： IoTDB 提供了多种应用编程接口（API），以便于开发者在应用程序中与 IoTDB 进行交互，目前支持[ Java
原生接口](../API/Programming-Java-Native-API.md)、[Python
原生接口](../API/Programming-Python-Native-API.md)、[C++原生接口](../API/Programming-Cpp-Native-API.md)、[Go
原生接口](../API/Programming-Go-Native-API.md)等，更多编程接口可参见官网【应用编程接口】其他章节
## 还有哪些便捷的周边工具？
IoTDB 除了自身拥有丰富的功能外，其周边的工具体系包含的种类十分齐全。本篇文档将帮助您快速使用周边工具体系：
-- 测试工具：IoT-benchmark 是一个基于 Java
和大数据环境开发的时序数据库基准测试工具，由清华大学软件学院研发并开源。它支持多种写入和查询方式，能够存储测试信息和结果供进一步查询或分析，并支持与
Tableau 集成以可视化测试结果。具体使用介绍请查看：[测试工具](../Tools-System/Benchmark.md)
-- 数据导入导出脚本：用于实现 IoTDB
内部数据与外部文件的交互，适用于单个文件或目录文件批量操作，具体使用介绍请查看：[数据导入导出脚本](../Tools-System/Data-Import-Export-Tool.md)
-- TsFile 导入导出脚本：针对于不同场景，IoTDB 为用户提供多种批量导入数据的操作方式，具体使用介绍请查看：[TsFile
导入导出脚本](../Tools-System/TsFile-Import-Export-Tool.md)
+ - 测试工具：IoT-benchmark 是一个基于 Java
和大数据环境开发的时序数据库基准测试工具，由清华大学软件学院研发并开源。它支持多种写入和查询方式，能够存储测试信息和结果供进一步查询或分析，并支持与
Tableau 集成以可视化测试结果。具体使用介绍请查看：[测试工具](../Tools-System/Benchmark.md)
+
+ - 数据导入导出脚本：用于实现 IoTDB
内部数据与外部文件的交互，适用于单个文件或目录文件批量操作，具体使用介绍请查看：[数据导入导出脚本](../Tools-System/Data-Import-Export-Tool.md)
+
+ - TsFile 导入导出脚本：针对于不同场景，IoTDB 为用户提供多种批量导入数据的操作方式，具体使用介绍请查看：[TsFile
导入导出脚本](../Tools-System/TsFile-Import-Export-Tool.md)
## 使用过程中遇到问题？
