This is an automated email from the ASF dual-hosted git repository.
zhaoxinyi 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 4f38d8f8 Quickly get started with page content modification and
optimization (#434)
4f38d8f8 is described below
commit 4f38d8f85e96f48a71096c4cc983c5492cb36a22
Author: W1y1r <[email protected]>
AuthorDate: Mon Nov 25 14:09:03 2024 +0800
Quickly get started with page content modification and optimization (#434)
* Quickly get started with page content modification and optimization
* Quickly get started with page content modification and optimization
* Change to Timeseries Management
---
.../Tree/Basic-Concept/Operate-Metadata_apache.md | 2 +-
.../Tree/Basic-Concept/Operate-Metadata_timecho.md | 2 +-
.../Master/Tree/QuickStart/QuickStart_apache.md | 16 ++++++++++---
.../Master/Tree/QuickStart/QuickStart_timecho.md | 22 ++++++++++++++----
.../Basic-Concept/Operate-Metadata_apache.md | 2 +-
.../Basic-Concept/Operate-Metadata_timecho.md | 2 +-
.../latest/QuickStart/QuickStart_apache.md | 16 ++++++++++---
.../latest/QuickStart/QuickStart_timecho.md | 22 ++++++++++++++----
.../Tree/Basic-Concept/Operate-Metadata_apache.md | 3 ++-
.../Tree/Basic-Concept/Operate-Metadata_timecho.md | 3 ++-
.../Master/Tree/QuickStart/QuickStart_apache.md | 16 ++++++++++---
.../Master/Tree/QuickStart/QuickStart_timecho.md | 26 +++++++++++++++++-----
.../Basic-Concept/Operate-Metadata_apache.md | 3 ++-
.../Basic-Concept/Operate-Metadata_timecho.md | 2 +-
.../latest/QuickStart/QuickStart_apache.md | 16 ++++++++++---
.../latest/QuickStart/QuickStart_timecho.md | 26 +++++++++++++++++-----
16 files changed, 141 insertions(+), 38 deletions(-)
diff --git a/src/UserGuide/Master/Tree/Basic-Concept/Operate-Metadata_apache.md
b/src/UserGuide/Master/Tree/Basic-Concept/Operate-Metadata_apache.md
index a3db146b..58c01a88 100644
--- a/src/UserGuide/Master/Tree/Basic-Concept/Operate-Metadata_apache.md
+++ b/src/UserGuide/Master/Tree/Basic-Concept/Operate-Metadata_apache.md
@@ -19,7 +19,7 @@
-->
-# Operate Metadata
+# Timeseries Management
## Database Management
diff --git
a/src/UserGuide/Master/Tree/Basic-Concept/Operate-Metadata_timecho.md
b/src/UserGuide/Master/Tree/Basic-Concept/Operate-Metadata_timecho.md
index 30cb76aa..8d57facb 100644
--- a/src/UserGuide/Master/Tree/Basic-Concept/Operate-Metadata_timecho.md
+++ b/src/UserGuide/Master/Tree/Basic-Concept/Operate-Metadata_timecho.md
@@ -19,7 +19,7 @@
-->
-# Operate Metadata
+# Timeseries Management
## Database Management
diff --git a/src/UserGuide/Master/Tree/QuickStart/QuickStart_apache.md
b/src/UserGuide/Master/Tree/QuickStart/QuickStart_apache.md
index ef695e28..a0778511 100644
--- a/src/UserGuide/Master/Tree/QuickStart/QuickStart_apache.md
+++ b/src/UserGuide/Master/Tree/QuickStart/QuickStart_apache.md
@@ -48,11 +48,11 @@ This document will help you quickly install and deploy
IoTDB. You can quickly lo
- Introduction to Modeling Design: [Data
Model](../Basic-Concept/Data-Model-and-Terminology.md)
- - SQL syntax introduction: [Operate
Metadata](../User-Manual/Operate-Metadata_apache.md)
+ - SQL syntax introduction: [Operate
Metadata](../Basic-Concept/Operate-Metadata_apache.md)
-2. Write Data: In terms of data writing, IoTDB provides multiple ways to
insert real-time data. Please refer to the basic data writing operations for
details [Write Data](../User-Manual/Write-Delete-Data.md)
+2. Write Data: In terms of data writing, IoTDB provides multiple ways to
insert real-time data. Please refer to the basic data writing operations for
details [Write Data](../Basic-Concept/Write-Delete-Data.md)
-3. Query Data: IoTDB provides rich data query functions. Please refer to the
basic introduction of data query [Query Data](../User-Manual/Query-Data.md)
+3. Query Data: IoTDB provides rich data query functions. Please refer to the
basic introduction of data query [Query Data](../Basic-Concept/Query-Data.md)
4. Other advanced features: In addition to common functions such as writing
and querying in databases, IoTDB also supports "Data Synchronisation、Stream
Framework、Database Administration " and other functions, specific usage methods
can be found in the specific document:
@@ -74,6 +74,16 @@ In addition to its rich features, IoTDB also has a
comprehensive range of tools
- Data Export Script: For different scenarios, IoTDB provides users with
multiple ways to batch export data. For specific usage instructions, please
refer to: [Data Export](../Tools-System/Data-Export-Tool.md)
+## Want to Learn More About the Technical Details?
+
+If you are interested in delving deeper into the technical aspects of IoTDB,
you can refer to the following documents:
+
+ - Publication: IoTDB features columnar storage, data encoding,
pre-calculation, and indexing technologies, along with a SQL-like interface and
high-performance data processing capabilities. It also integrates seamlessly
with Apache Hadoop, MapReduce, and Apache Spark. For related research papers,
please refer to: [Publication](../Technical-Insider/Publication.md)
+
+ - Encoding & Compression: IoTDB optimizes storage efficiency for different
data types through a variety of encoding and compression techniques. To learn
more, please refer to:[Encoding &
Compression](../Technical-Insider/Encoding-and-Compression.md)
+
+ - Data Partitioning and Load Balancing: IoTDB has meticulously designed
data partitioning strategies and load balancing algorithms based on the
characteristics of time series data, enhancing the availability and performance
of the cluster. For more information, please refer to: [Data Partitioning and
Load Balancing](../Technical-Insider/Cluster-data-partitioning.md)
+
## Encountering problems during use?
diff --git a/src/UserGuide/Master/Tree/QuickStart/QuickStart_timecho.md
b/src/UserGuide/Master/Tree/QuickStart/QuickStart_timecho.md
index 7dec6ca3..3bb15506 100644
--- a/src/UserGuide/Master/Tree/QuickStart/QuickStart_timecho.md
+++ b/src/UserGuide/Master/Tree/QuickStart/QuickStart_timecho.md
@@ -56,11 +56,11 @@ This document will help you quickly install and deploy
IoTDB. You can quickly lo
- Introduction to Modeling Design: [Data
Model](../Basic-Concept/Data-Model-and-Terminology.md)
- - SQL syntax introduction：[Operate
Metadata](../User-Manual/Operate-Metadata_timecho.md)
+ - SQL syntax introduction：[Operate
Metadata](../Basic-Concept/Operate-Metadata_timecho.md)
-2. Write Data: In terms of data writing, IoTDB provides multiple ways to
insert real-time data. Please refer to the basic data writing operations for
details [Write Data](../User-Manual/Write-Delete-Data.md)
+2. Write Data: In terms of data writing, IoTDB provides multiple ways to
insert real-time data. Please refer to the basic data writing operations for
details [Write Data](../Basic-Concept/Write-Delete-Data.md)
-3. Query Data: IoTDB provides rich data query functions. Please refer to the
basic introduction of data query [Query Data](../User-Manual/Query-Data.md)
+3. Query Data: IoTDB provides rich data query functions. Please refer to the
basic introduction of data query [Query Data](../Basic-Concept/Query-Data.md)
4. Other advanced features: In addition to common functions such as writing
and querying in databases, IoTDB also supports "Data Synchronisation、Stream
Framework、Security Management、Database Administration、AI Capability"and other
functions, specific usage methods can be found in the specific document:
@@ -68,7 +68,7 @@ This document will help you quickly install and deploy IoTDB.
You can quickly lo
- Stream Framework: [Stream Framework](../User-Manual/Streaming_timecho.md)
- - Security Management: [Security
Management](../User-Manual/Security-Management_timecho.md)
+ - Security Management: [Security
Management](../User-Manual/White-List_timecho.md)
- Database Administration: [Database
Administration](../User-Manual/Authority-Management.md)
@@ -80,12 +80,26 @@ 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 :
+ - Workbench: Workbench is a visual interface for IoTDB that supports
interactive operations. It offers intuitive features for metadata management,
data querying, and data visualization, enhancing the convenience and efficiency
of user database operations. For detailed usage instructions, please refer to:
[Workbench](../Deployment-and-Maintenance/workbench-deployment.md)
+
+ - Monitor Tool: This is a tool for meticulous monitoring of IoTDB and its
host operating system, covering hundreds of database monitoring metrics
including database performance and system resources, which aids in system
optimization and bottleneck identification. For detailed usage instructions,
please refer to: [Monitor
Tool](../Deployment-and-Maintenance/Monitoring-panel-deployment.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 Script: For different scenarios, IoTDB provides users with
multiple ways to batch import data. For specific usage instructions, please
refer to: [Data Import](../Tools-System/Data-Import-Tool.md)
- Data Export Script: For different scenarios, IoTDB provides users with
multiple ways to batch export data. For specific usage instructions, please
refer to: [Data Export](../Tools-System/Data-Export-Tool.md)
+## Want to Learn More About the Technical Details?
+
+If you are interested in delving deeper into the technical aspects of IoTDB,
you can refer to the following documents:
+
+ - Research Paper: IoTDB features columnar storage, data encoding,
pre-calculation, and indexing technologies, along with a SQL-like interface and
high-performance data processing capabilities. It also integrates seamlessly
with Apache Hadoop, MapReduce, and Apache Spark. For related research papers,
please refer to: [Research Paper](../Technical-Insider/Publication.md)
+
+ - Compression & Encoding: IoTDB optimizes storage efficiency for different
data types through a variety of encoding and compression techniques. To learn
more, please refer to:[Compression &
Encoding](../Technical-Insider/Encoding-and-Compression.md)
+
+ - Data Partitioning and Load Balancing: IoTDB has meticulously designed
data partitioning strategies and load balancing algorithms based on the
characteristics of time series data, enhancing the availability and performance
of the cluster. For more information, please refer to: [Data Partitionin &
Load Balancing](../Technical-Insider/Cluster-data-partitioning.md)
+
## Encountering problems during use?
diff --git a/src/UserGuide/latest/Basic-Concept/Operate-Metadata_apache.md
b/src/UserGuide/latest/Basic-Concept/Operate-Metadata_apache.md
index a3db146b..58c01a88 100644
--- a/src/UserGuide/latest/Basic-Concept/Operate-Metadata_apache.md
+++ b/src/UserGuide/latest/Basic-Concept/Operate-Metadata_apache.md
@@ -19,7 +19,7 @@
-->
-# Operate Metadata
+# Timeseries Management
## Database Management
diff --git a/src/UserGuide/latest/Basic-Concept/Operate-Metadata_timecho.md
b/src/UserGuide/latest/Basic-Concept/Operate-Metadata_timecho.md
index 30cb76aa..8d57facb 100644
--- a/src/UserGuide/latest/Basic-Concept/Operate-Metadata_timecho.md
+++ b/src/UserGuide/latest/Basic-Concept/Operate-Metadata_timecho.md
@@ -19,7 +19,7 @@
-->
-# Operate Metadata
+# Timeseries Management
## Database Management
diff --git a/src/UserGuide/latest/QuickStart/QuickStart_apache.md
b/src/UserGuide/latest/QuickStart/QuickStart_apache.md
index ef695e28..a0778511 100644
--- a/src/UserGuide/latest/QuickStart/QuickStart_apache.md
+++ b/src/UserGuide/latest/QuickStart/QuickStart_apache.md
@@ -48,11 +48,11 @@ This document will help you quickly install and deploy
IoTDB. You can quickly lo
- Introduction to Modeling Design: [Data
Model](../Basic-Concept/Data-Model-and-Terminology.md)
- - SQL syntax introduction: [Operate
Metadata](../User-Manual/Operate-Metadata_apache.md)
+ - SQL syntax introduction: [Operate
Metadata](../Basic-Concept/Operate-Metadata_apache.md)
-2. Write Data: In terms of data writing, IoTDB provides multiple ways to
insert real-time data. Please refer to the basic data writing operations for
details [Write Data](../User-Manual/Write-Delete-Data.md)
+2. Write Data: In terms of data writing, IoTDB provides multiple ways to
insert real-time data. Please refer to the basic data writing operations for
details [Write Data](../Basic-Concept/Write-Delete-Data.md)
-3. Query Data: IoTDB provides rich data query functions. Please refer to the
basic introduction of data query [Query Data](../User-Manual/Query-Data.md)
+3. Query Data: IoTDB provides rich data query functions. Please refer to the
basic introduction of data query [Query Data](../Basic-Concept/Query-Data.md)
4. Other advanced features: In addition to common functions such as writing
and querying in databases, IoTDB also supports "Data Synchronisation、Stream
Framework、Database Administration " and other functions, specific usage methods
can be found in the specific document:
@@ -74,6 +74,16 @@ In addition to its rich features, IoTDB also has a
comprehensive range of tools
- Data Export Script: For different scenarios, IoTDB provides users with
multiple ways to batch export data. For specific usage instructions, please
refer to: [Data Export](../Tools-System/Data-Export-Tool.md)
+## Want to Learn More About the Technical Details?
+
+If you are interested in delving deeper into the technical aspects of IoTDB,
you can refer to the following documents:
+
+ - Publication: IoTDB features columnar storage, data encoding,
pre-calculation, and indexing technologies, along with a SQL-like interface and
high-performance data processing capabilities. It also integrates seamlessly
with Apache Hadoop, MapReduce, and Apache Spark. For related research papers,
please refer to: [Publication](../Technical-Insider/Publication.md)
+
+ - Encoding & Compression: IoTDB optimizes storage efficiency for different
data types through a variety of encoding and compression techniques. To learn
more, please refer to:[Encoding &
Compression](../Technical-Insider/Encoding-and-Compression.md)
+
+ - Data Partitioning and Load Balancing: IoTDB has meticulously designed
data partitioning strategies and load balancing algorithms based on the
characteristics of time series data, enhancing the availability and performance
of the cluster. For more information, please refer to: [Data Partitioning and
Load Balancing](../Technical-Insider/Cluster-data-partitioning.md)
+
## Encountering problems during use?
diff --git a/src/UserGuide/latest/QuickStart/QuickStart_timecho.md
b/src/UserGuide/latest/QuickStart/QuickStart_timecho.md
index 7dec6ca3..3bb15506 100644
--- a/src/UserGuide/latest/QuickStart/QuickStart_timecho.md
+++ b/src/UserGuide/latest/QuickStart/QuickStart_timecho.md
@@ -56,11 +56,11 @@ This document will help you quickly install and deploy
IoTDB. You can quickly lo
- Introduction to Modeling Design: [Data
Model](../Basic-Concept/Data-Model-and-Terminology.md)
- - SQL syntax introduction：[Operate
Metadata](../User-Manual/Operate-Metadata_timecho.md)
+ - SQL syntax introduction：[Operate
Metadata](../Basic-Concept/Operate-Metadata_timecho.md)
-2. Write Data: In terms of data writing, IoTDB provides multiple ways to
insert real-time data. Please refer to the basic data writing operations for
details [Write Data](../User-Manual/Write-Delete-Data.md)
+2. Write Data: In terms of data writing, IoTDB provides multiple ways to
insert real-time data. Please refer to the basic data writing operations for
details [Write Data](../Basic-Concept/Write-Delete-Data.md)
-3. Query Data: IoTDB provides rich data query functions. Please refer to the
basic introduction of data query [Query Data](../User-Manual/Query-Data.md)
+3. Query Data: IoTDB provides rich data query functions. Please refer to the
basic introduction of data query [Query Data](../Basic-Concept/Query-Data.md)
4. Other advanced features: In addition to common functions such as writing
and querying in databases, IoTDB also supports "Data Synchronisation、Stream
Framework、Security Management、Database Administration、AI Capability"and other
functions, specific usage methods can be found in the specific document:
@@ -68,7 +68,7 @@ This document will help you quickly install and deploy IoTDB.
You can quickly lo
- Stream Framework: [Stream Framework](../User-Manual/Streaming_timecho.md)
- - Security Management: [Security
Management](../User-Manual/Security-Management_timecho.md)
+ - Security Management: [Security
Management](../User-Manual/White-List_timecho.md)
- Database Administration: [Database
Administration](../User-Manual/Authority-Management.md)
@@ -80,12 +80,26 @@ 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 :
+ - Workbench: Workbench is a visual interface for IoTDB that supports
interactive operations. It offers intuitive features for metadata management,
data querying, and data visualization, enhancing the convenience and efficiency
of user database operations. For detailed usage instructions, please refer to:
[Workbench](../Deployment-and-Maintenance/workbench-deployment.md)
+
+ - Monitor Tool: This is a tool for meticulous monitoring of IoTDB and its
host operating system, covering hundreds of database monitoring metrics
including database performance and system resources, which aids in system
optimization and bottleneck identification. For detailed usage instructions,
please refer to: [Monitor
Tool](../Deployment-and-Maintenance/Monitoring-panel-deployment.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 Script: For different scenarios, IoTDB provides users with
multiple ways to batch import data. For specific usage instructions, please
refer to: [Data Import](../Tools-System/Data-Import-Tool.md)
- Data Export Script: For different scenarios, IoTDB provides users with
multiple ways to batch export data. For specific usage instructions, please
refer to: [Data Export](../Tools-System/Data-Export-Tool.md)
+## Want to Learn More About the Technical Details?
+
+If you are interested in delving deeper into the technical aspects of IoTDB,
you can refer to the following documents:
+
+ - Research Paper: IoTDB features columnar storage, data encoding,
pre-calculation, and indexing technologies, along with a SQL-like interface and
high-performance data processing capabilities. It also integrates seamlessly
with Apache Hadoop, MapReduce, and Apache Spark. For related research papers,
please refer to: [Research Paper](../Technical-Insider/Publication.md)
+
+ - Compression & Encoding: IoTDB optimizes storage efficiency for different
data types through a variety of encoding and compression techniques. To learn
more, please refer to:[Compression &
Encoding](../Technical-Insider/Encoding-and-Compression.md)
+
+ - Data Partitioning and Load Balancing: IoTDB has meticulously designed
data partitioning strategies and load balancing algorithms based on the
characteristics of time series data, enhancing the availability and performance
of the cluster. For more information, please refer to: [Data Partitionin &
Load Balancing](../Technical-Insider/Cluster-data-partitioning.md)
+
## Encountering problems during use?
diff --git
a/src/zh/UserGuide/Master/Tree/Basic-Concept/Operate-Metadata_apache.md
b/src/zh/UserGuide/Master/Tree/Basic-Concept/Operate-Metadata_apache.md
index 15ed2415..e67ae075 100644
--- a/src/zh/UserGuide/Master/Tree/Basic-Concept/Operate-Metadata_apache.md
+++ b/src/zh/UserGuide/Master/Tree/Basic-Concept/Operate-Metadata_apache.md
@@ -19,7 +19,8 @@
-->
-# 元数据操作
+# 测点管理
+
## 数据库管理
数据库（Database）可以被视为关系数据库中的Database。
diff --git
a/src/zh/UserGuide/Master/Tree/Basic-Concept/Operate-Metadata_timecho.md
b/src/zh/UserGuide/Master/Tree/Basic-Concept/Operate-Metadata_timecho.md
index b8c571bc..01cf39e7 100644
--- a/src/zh/UserGuide/Master/Tree/Basic-Concept/Operate-Metadata_timecho.md
+++ b/src/zh/UserGuide/Master/Tree/Basic-Concept/Operate-Metadata_timecho.md
@@ -19,7 +19,8 @@
-->
-# 元数据管理
+# 测点管理
+
## 数据库管理
数据库（Database）可以被视为关系数据库中的Database。
diff --git a/src/zh/UserGuide/Master/Tree/QuickStart/QuickStart_apache.md
b/src/zh/UserGuide/Master/Tree/QuickStart/QuickStart_apache.md
index 15ae1f26..16043b75 100644
--- a/src/zh/UserGuide/Master/Tree/QuickStart/QuickStart_apache.md
+++ b/src/zh/UserGuide/Master/Tree/QuickStart/QuickStart_apache.md
@@ -49,11 +49,11 @@
- 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_apache.md)
+ - SQL 语法介绍：[SQL 语法介绍](../Basic-Concept/Operate-Metadata_apache.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)
+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](../Basic-Concept/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)
+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](../Basic-Concept/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、权限管理”等功能，具体使用方法可参见具体文档：
@@ -76,6 +76,16 @@ IoTDB 除了自身拥有丰富的功能外，其周边的工具体系包含的
- 数据导出脚本：针对于不同场景，IoTDB
为用户提供多种批量导出数据的操作方式，具体使用介绍请查看：[数据导出](../Tools-System/Data-Export-Tool.md)
+## 想了解更多技术细节？
+
+如果您想了解 IoTDB 的更多技术内幕，可以移步至下面的文档：
+
+ - 研究论文：IoTDB 具有列式存储、数据编码、预计算和索引技术，以及其类 SQL 接口和高性能数据处理能力，同时与 Apache
Hadoop、MapReduce 和 Apache Spark 无缝集成。相关研究论文请查看
[研究论文](../Technical-Insider/Publication.md)
+
+ - 压缩&编码：IoTDB 通过多样化的编码和压缩技术，针对不同数据类型优化存储效率，想了解更多请查看
[压缩&编码](../Technical-Insider/Encoding-and-Compression.md)
+
+ - 数据分区和负载均衡：IoTDB 基于时序数据特性，精心设计了数据分区策略和负载均衡算法，提升了集群的可用性和性能，想了解更多请查看
[数据分区和负载均衡](../Technical-Insider/Cluster-data-partitioning.md)
+
## 使用过程中遇到问题？
如果您在安装或使用过程中遇到困难，可以移步至 [常见问题](../FAQ/Frequently-asked-questions.md) 中进行查看
\ No newline at end of file
diff --git a/src/zh/UserGuide/Master/Tree/QuickStart/QuickStart_timecho.md
b/src/zh/UserGuide/Master/Tree/QuickStart/QuickStart_timecho.md
index 12960a1d..ce4639d8 100644
--- a/src/zh/UserGuide/Master/Tree/QuickStart/QuickStart_timecho.md
+++ b/src/zh/UserGuide/Master/Tree/QuickStart/QuickStart_timecho.md
@@ -57,11 +57,11 @@
- 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)
+ - SQL 语法介绍：[SQL 语法介绍](../Basic-Concept/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)
+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](../Basic-Concept/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)
+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](../Basic-Concept/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：
@@ -69,7 +69,7 @@
- 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)
+ - 安全控制：[安全控制](../User-Manual/White-List_timecho.md)
- 权限管理：[权限管理](../User-Manual/Authority-Management.md)
@@ -81,13 +81,29 @@
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：
+ - 可视化控制台：workbench 是 IoTDB
的一个支持界面交互的形式的可视化界面，提供直观的元数据管理、数据查询和数据可视化等功能，提升用户操作数据库的便捷性和效率，具体使用介绍请查看
[可视化控制台部署](../Deployment-and-Maintenance/workbench-deployment.md)
+
+ - 监控面板：是一个对 IoTDB
及其所在操作系统进行细致监控的工具，涵盖数据库性能、系统资源等上百个数据库监控指标，助力系统优化与瓶颈识别等，具体使用介绍请查看
[监控面板部署](../Deployment-and-Maintenance/Monitoring-panel-deployment.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：[数据导入](../Tools-System/Data-Import-Tool.md)
+ - 数据导入脚本：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：[数据导入](../Tools-System/Data-Import-Tool.md)
- 数据导出脚本：针对于不同场景，IoTDB
为用户提供多种批量导出数据的操作方式，具体使用介绍请查看：[数据导出](../Tools-System/Data-Export-Tool.md)
+
+## 想了解更多技术细节？
+
+如果您想了解 IoTDB 的更多技术内幕，可以移步至下面的文档：
+
+ - 研究论文：IoTDB 具有列式存储、数据编码、预计算和索引技术，以及其类 SQL 接口和高性能数据处理能力，同时与 Apache
Hadoop、MapReduce 和 Apache Spark 无缝集成。相关研究论文请查看
[研究论文](../Technical-Insider/Publication.md)
+
+ - 压缩&编码：IoTDB 通过多样化的编码和压缩技术，针对不同数据类型优化存储效率，想了解更多请查看
[压缩&编码](../Technical-Insider/Encoding-and-Compression.md)
+
+ - 数据分区和负载均衡：IoTDB 基于时序数据特性，精心设计了数据分区策略和负载均衡算法，提升了集群的可用性和性能，想了解更多请查看
[数据分区和负载均衡](../Technical-Insider/Cluster-data-partitioning.md)
+
+
## 使用过程中遇到问题？
如果您在安装或使用过程中遇到困难，可以移步至 [常见问题](../FAQ/Frequently-asked-questions.md) 中进行查看
\ No newline at end of file
diff --git a/src/zh/UserGuide/latest/Basic-Concept/Operate-Metadata_apache.md
b/src/zh/UserGuide/latest/Basic-Concept/Operate-Metadata_apache.md
index 15ed2415..e67ae075 100644
--- a/src/zh/UserGuide/latest/Basic-Concept/Operate-Metadata_apache.md
+++ b/src/zh/UserGuide/latest/Basic-Concept/Operate-Metadata_apache.md
@@ -19,7 +19,8 @@
-->
-# 元数据操作
+# 测点管理
+
## 数据库管理
数据库（Database）可以被视为关系数据库中的Database。
diff --git a/src/zh/UserGuide/latest/Basic-Concept/Operate-Metadata_timecho.md
b/src/zh/UserGuide/latest/Basic-Concept/Operate-Metadata_timecho.md
index b8c571bc..21d98799 100644
--- a/src/zh/UserGuide/latest/Basic-Concept/Operate-Metadata_timecho.md
+++ b/src/zh/UserGuide/latest/Basic-Concept/Operate-Metadata_timecho.md
@@ -19,7 +19,7 @@
-->
-# 元数据管理
+# 测点管理
## 数据库管理
数据库（Database）可以被视为关系数据库中的Database。
diff --git a/src/zh/UserGuide/latest/QuickStart/QuickStart_apache.md
b/src/zh/UserGuide/latest/QuickStart/QuickStart_apache.md
index 15ae1f26..16043b75 100644
--- a/src/zh/UserGuide/latest/QuickStart/QuickStart_apache.md
+++ b/src/zh/UserGuide/latest/QuickStart/QuickStart_apache.md
@@ -49,11 +49,11 @@
- 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_apache.md)
+ - SQL 语法介绍：[SQL 语法介绍](../Basic-Concept/Operate-Metadata_apache.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)
+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](../Basic-Concept/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)
+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](../Basic-Concept/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、权限管理”等功能，具体使用方法可参见具体文档：
@@ -76,6 +76,16 @@ IoTDB 除了自身拥有丰富的功能外，其周边的工具体系包含的
- 数据导出脚本：针对于不同场景，IoTDB
为用户提供多种批量导出数据的操作方式，具体使用介绍请查看：[数据导出](../Tools-System/Data-Export-Tool.md)
+## 想了解更多技术细节？
+
+如果您想了解 IoTDB 的更多技术内幕，可以移步至下面的文档：
+
+ - 研究论文：IoTDB 具有列式存储、数据编码、预计算和索引技术，以及其类 SQL 接口和高性能数据处理能力，同时与 Apache
Hadoop、MapReduce 和 Apache Spark 无缝集成。相关研究论文请查看
[研究论文](../Technical-Insider/Publication.md)
+
+ - 压缩&编码：IoTDB 通过多样化的编码和压缩技术，针对不同数据类型优化存储效率，想了解更多请查看
[压缩&编码](../Technical-Insider/Encoding-and-Compression.md)
+
+ - 数据分区和负载均衡：IoTDB 基于时序数据特性，精心设计了数据分区策略和负载均衡算法，提升了集群的可用性和性能，想了解更多请查看
[数据分区和负载均衡](../Technical-Insider/Cluster-data-partitioning.md)
+
## 使用过程中遇到问题？
如果您在安装或使用过程中遇到困难，可以移步至 [常见问题](../FAQ/Frequently-asked-questions.md) 中进行查看
\ No newline at end of file
diff --git a/src/zh/UserGuide/latest/QuickStart/QuickStart_timecho.md
b/src/zh/UserGuide/latest/QuickStart/QuickStart_timecho.md
index 12960a1d..ce4639d8 100644
--- a/src/zh/UserGuide/latest/QuickStart/QuickStart_timecho.md
+++ b/src/zh/UserGuide/latest/QuickStart/QuickStart_timecho.md
@@ -57,11 +57,11 @@
- 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)
+ - SQL 语法介绍：[SQL 语法介绍](../Basic-Concept/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)
+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](../Basic-Concept/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)
+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](../Basic-Concept/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：
@@ -69,7 +69,7 @@
- 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)
+ - 安全控制：[安全控制](../User-Manual/White-List_timecho.md)
- 权限管理：[权限管理](../User-Manual/Authority-Management.md)
@@ -81,13 +81,29 @@
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：
+ - 可视化控制台：workbench 是 IoTDB
的一个支持界面交互的形式的可视化界面，提供直观的元数据管理、数据查询和数据可视化等功能，提升用户操作数据库的便捷性和效率，具体使用介绍请查看
[可视化控制台部署](../Deployment-and-Maintenance/workbench-deployment.md)
+
+ - 监控面板：是一个对 IoTDB
及其所在操作系统进行细致监控的工具，涵盖数据库性能、系统资源等上百个数据库监控指标，助力系统优化与瓶颈识别等，具体使用介绍请查看
[监控面板部署](../Deployment-and-Maintenance/Monitoring-panel-deployment.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：[数据导入](../Tools-System/Data-Import-Tool.md)
+ - 数据导入脚本：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：[数据导入](../Tools-System/Data-Import-Tool.md)
- 数据导出脚本：针对于不同场景，IoTDB
为用户提供多种批量导出数据的操作方式，具体使用介绍请查看：[数据导出](../Tools-System/Data-Export-Tool.md)
+
+## 想了解更多技术细节？
+
+如果您想了解 IoTDB 的更多技术内幕，可以移步至下面的文档：
+
+ - 研究论文：IoTDB 具有列式存储、数据编码、预计算和索引技术，以及其类 SQL 接口和高性能数据处理能力，同时与 Apache
Hadoop、MapReduce 和 Apache Spark 无缝集成。相关研究论文请查看
[研究论文](../Technical-Insider/Publication.md)
+
+ - 压缩&编码：IoTDB 通过多样化的编码和压缩技术，针对不同数据类型优化存储效率，想了解更多请查看
[压缩&编码](../Technical-Insider/Encoding-and-Compression.md)
+
+ - 数据分区和负载均衡：IoTDB 基于时序数据特性，精心设计了数据分区策略和负载均衡算法，提升了集群的可用性和性能，想了解更多请查看
[数据分区和负载均衡](../Technical-Insider/Cluster-data-partitioning.md)
+
+
## 使用过程中遇到问题？
如果您在安装或使用过程中遇到困难，可以移步至 [常见问题](../FAQ/Frequently-asked-questions.md) 中进行查看
\ No newline at end of file
