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The following commit(s) were added to refs/heads/main by this push:
new 4bd079c fix monitoring doc and IoTDB introduction doc (#215)
4bd079c is described below
commit 4bd079c8c07b2121f4cf83657b32b254cf305691
Author: wanghui42 <[email protected]>
AuthorDate: Thu May 9 18:21:49 2024 +0800
fix monitoring doc and IoTDB introduction doc (#215)
---
src/.vuepress/sidebar/V0.13.x/en.ts | 2 +-
src/.vuepress/sidebar/V0.13.x/zh.ts | 2 +-
src/.vuepress/sidebar/V1.0.x/en.ts | 2 +-
src/.vuepress/sidebar/V1.0.x/zh.ts | 2 +-
src/.vuepress/sidebar/V1.1.x/en.ts | 2 +-
src/.vuepress/sidebar/V1.1.x/zh.ts | 2 +-
src/.vuepress/sidebar/V1.2.x/en.ts | 2 +-
src/.vuepress/sidebar/V1.2.x/zh.ts | 2 +-
src/.vuepress/sidebar/V1.3.x/en.ts | 2 +-
src/.vuepress/sidebar/V1.3.x/zh.ts | 2 +-
src/.vuepress/sidebar_timecho/V0.13.x/en.ts | 2 +-
src/.vuepress/sidebar_timecho/V1.0.x/en.ts | 2 +-
src/.vuepress/sidebar_timecho/V1.1.x/en.ts | 2 +-
src/.vuepress/sidebar_timecho/V1.2.x/en.ts | 2 +-
src/.vuepress/sidebar_timecho/V1.2.x/zh.ts | 2 +-
src/.vuepress/sidebar_timecho/V1.3.x/en.ts | 4 ++--
src/.vuepress/sidebar_timecho/V1.3.x/zh.ts | 4 ++--
src/UserGuide/Master/IoTDB-Introduction/Publication.md | 10 ++--------
src/UserGuide/Master/Tools-System/Monitor-Tool.md | 4 ++--
.../Tools-System/{Monitor-Tool.md => Monitor-Tool_timecho.md} | 0
src/UserGuide/V0.13.x/IoTDB-Introduction/Publication.md | 8 +-------
src/UserGuide/V0.13.x/Maintenance-Tools/Metric-Tool.md | 4 ++--
src/UserGuide/V1.0.x/IoTDB-Introduction/Publication.md | 7 +------
src/UserGuide/V1.1.x/IoTDB-Introduction/Publication.md | 6 +-----
src/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.md | 4 +---
src/UserGuide/V1.2.x/IoTDB-Introduction/Publication.md | 2 +-
src/UserGuide/V1.2.x/Tools-System/Monitor-Tool.md | 4 +---
.../Tools-System/{Monitor-Tool.md => Monitor-Tool_timecho.md} | 0
src/UserGuide/latest/IoTDB-Introduction/Publication.md | 9 +--------
src/UserGuide/latest/Tools-System/Monitor-Tool.md | 4 ++--
.../Tools-System/Monitor-Tool_timecho.md} | 0
src/zh/UserGuide/Master/IoTDB-Introduction/Publication.md | 8 +-------
src/zh/UserGuide/Master/Tools-System/Monitor-Tool.md | 4 ++--
.../Tools-System/{Monitor-Tool.md => Monitor-Tool_timecho.md} | 0
src/zh/UserGuide/V0.13.x/IoTDB-Introduction/Publication.md | 7 +------
src/zh/UserGuide/V0.13.x/Maintenance-Tools/Metric-Tool.md | 4 ++--
src/zh/UserGuide/V1.0.x/IoTDB-Introduction/Publication.md | 7 +------
src/zh/UserGuide/V1.1.x/IoTDB-Introduction/Publication.md | 7 +------
src/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.md | 3 +--
src/zh/UserGuide/V1.2.x/IoTDB-Introduction/Publication.md | 2 +-
src/zh/UserGuide/V1.2.x/Tools-System/Monitor-Tool.md | 3 +--
.../Tools-System/{Monitor-Tool.md => Monitor-Tool_timecho.md} | 0
src/zh/UserGuide/latest/IoTDB-Introduction/Publication.md | 10 +---------
src/zh/UserGuide/latest/Tools-System/Monitor-Tool.md | 4 ++--
.../Tools-System/Monitor-Tool_timecho.md} | 0
45 files changed, 48 insertions(+), 111 deletions(-)
diff --git a/src/.vuepress/sidebar/V0.13.x/en.ts
b/src/.vuepress/sidebar/V0.13.x/en.ts
index 37562ee..84d2848 100644
--- a/src/.vuepress/sidebar/V0.13.x/en.ts
+++ b/src/.vuepress/sidebar/V0.13.x/en.ts
@@ -33,7 +33,7 @@ export const enSidebar = {
{ text: 'Architecture', link: 'Architecture' },
{ text: 'Scenario', link: 'Scenario' },
{ text: 'Features', link: 'Features' },
- { text: 'Publication', link: 'Publication' },
+ { text: 'Achievement', link: 'Publication' },
],
},
{
diff --git a/src/.vuepress/sidebar/V0.13.x/zh.ts
b/src/.vuepress/sidebar/V0.13.x/zh.ts
index 9d3bf12..72ff9bd 100644
--- a/src/.vuepress/sidebar/V0.13.x/zh.ts
+++ b/src/.vuepress/sidebar/V0.13.x/zh.ts
@@ -33,7 +33,7 @@ export const zhSidebar = {
{ text: '主要功能特点', link: 'Features' },
{ text: '系统架构', link: 'Architecture' },
{ text: '应用场景', link: 'Scenario' },
- { text: '研究论文', link: 'Publication' },
+ { text: '学术成果', link: 'Publication' },
],
},
{
diff --git a/src/.vuepress/sidebar/V1.0.x/en.ts
b/src/.vuepress/sidebar/V1.0.x/en.ts
index a9bf81f..7c3acba 100644
--- a/src/.vuepress/sidebar/V1.0.x/en.ts
+++ b/src/.vuepress/sidebar/V1.0.x/en.ts
@@ -33,7 +33,7 @@ export const enSidebar = {
{ text: 'Architecture', link: 'Architecture' },
{ text: 'Scenario', link: 'Scenario' },
{ text: 'Features', link: 'Features' },
- { text: 'Publication', link: 'Publication' },
+ { text: 'Achievement', link: 'Publication' },
],
},
{
diff --git a/src/.vuepress/sidebar/V1.0.x/zh.ts
b/src/.vuepress/sidebar/V1.0.x/zh.ts
index a5ecf9d..73cb9a1 100644
--- a/src/.vuepress/sidebar/V1.0.x/zh.ts
+++ b/src/.vuepress/sidebar/V1.0.x/zh.ts
@@ -33,7 +33,7 @@ export const zhSidebar = {
{ text: '主要功能特点', link: 'Features' },
{ text: '系统架构', link: 'Architecture' },
{ text: '应用场景', link: 'Scenario' },
- { text: '研究论文', link: 'Publication' },
+ { text: '学术成果', link: 'Publication' },
],
},
{
diff --git a/src/.vuepress/sidebar/V1.1.x/en.ts
b/src/.vuepress/sidebar/V1.1.x/en.ts
index 4decd3d..92f032e 100644
--- a/src/.vuepress/sidebar/V1.1.x/en.ts
+++ b/src/.vuepress/sidebar/V1.1.x/en.ts
@@ -33,7 +33,7 @@ export const enSidebar = {
{ text: 'Architecture', link: 'Architecture' },
{ text: 'Scenario', link: 'Scenario' },
{ text: 'Features', link: 'Features' },
- { text: 'Publication', link: 'Publication' },
+ { text: 'Achievement', link: 'Publication' },
],
},
{
diff --git a/src/.vuepress/sidebar/V1.1.x/zh.ts
b/src/.vuepress/sidebar/V1.1.x/zh.ts
index 4a8f1da..fd8dc4a 100644
--- a/src/.vuepress/sidebar/V1.1.x/zh.ts
+++ b/src/.vuepress/sidebar/V1.1.x/zh.ts
@@ -33,7 +33,7 @@ export const zhSidebar = {
{ text: '主要功能特点', link: 'Features' },
{ text: '系统架构', link: 'Architecture' },
{ text: '应用场景', link: 'Scenario' },
- { text: '研究论文', link: 'Publication' },
+ { text: '学术成果', link: 'Publication' },
],
},
{
diff --git a/src/.vuepress/sidebar/V1.2.x/en.ts
b/src/.vuepress/sidebar/V1.2.x/en.ts
index e99b70a..74f50c1 100644
--- a/src/.vuepress/sidebar/V1.2.x/en.ts
+++ b/src/.vuepress/sidebar/V1.2.x/en.ts
@@ -34,7 +34,7 @@ export const enSidebar = {
{ text: 'Architecture', link: 'Architecture' },
{ text: 'Performance', link: 'Performance' },
{ text: 'Scenario', link: 'Scenario' },
- { text: 'Publication', link: 'Publication' },
+ { text: 'Achievement', link: 'Publication' },
],
},
{
diff --git a/src/.vuepress/sidebar/V1.2.x/zh.ts
b/src/.vuepress/sidebar/V1.2.x/zh.ts
index a101713..6f9777d 100644
--- a/src/.vuepress/sidebar/V1.2.x/zh.ts
+++ b/src/.vuepress/sidebar/V1.2.x/zh.ts
@@ -34,7 +34,7 @@ export const zhSidebar = {
{ text: '系统架构', link: 'Architecture' },
{ text: '性能特点', link: 'Performance' },
{ text: '应用场景', link: 'Scenario' },
- { text: '研究论文', link: 'Publication' },
+ { text: '学术成果', link: 'Publication' },
],
},
{
diff --git a/src/.vuepress/sidebar/V1.3.x/en.ts
b/src/.vuepress/sidebar/V1.3.x/en.ts
index 428c0b2..be2bc83 100644
--- a/src/.vuepress/sidebar/V1.3.x/en.ts
+++ b/src/.vuepress/sidebar/V1.3.x/en.ts
@@ -34,7 +34,7 @@ export const enSidebar = {
{ text: 'Architecture', link: 'Architecture' },
{ text: 'Performance', link: 'Performance' },
{ text: 'Scenario', link: 'Scenario' },
- { text: 'Publication', link: 'Publication' },
+ { text: 'Achievement', link: 'Publication' },
],
},
{
diff --git a/src/.vuepress/sidebar/V1.3.x/zh.ts
b/src/.vuepress/sidebar/V1.3.x/zh.ts
index 33118b7..ed1d3bc 100644
--- a/src/.vuepress/sidebar/V1.3.x/zh.ts
+++ b/src/.vuepress/sidebar/V1.3.x/zh.ts
@@ -34,7 +34,7 @@ export const zhSidebar = {
{ text: '系统架构', link: 'Architecture' },
{ text: '性能特点', link: 'Performance' },
{ text: '应用场景', link: 'Scenario' },
- { text: '研究论文', link: 'Publication' },
+ { text: '学术成果', link: 'Publication' },
],
},
{
diff --git a/src/.vuepress/sidebar_timecho/V0.13.x/en.ts
b/src/.vuepress/sidebar_timecho/V0.13.x/en.ts
index 0e964ec..8eb2577 100644
--- a/src/.vuepress/sidebar_timecho/V0.13.x/en.ts
+++ b/src/.vuepress/sidebar_timecho/V0.13.x/en.ts
@@ -33,7 +33,7 @@ export const enSidebar = {
{ text: 'Architecture', link: 'Architecture' },
{ text: 'Scenario', link: 'Scenario' },
{ text: 'Features', link: 'Features' },
- { text: 'Publication', link: 'Publication' },
+ { text: 'Achievement', link: 'Publication' },
],
},
{
diff --git a/src/.vuepress/sidebar_timecho/V1.0.x/en.ts
b/src/.vuepress/sidebar_timecho/V1.0.x/en.ts
index 5b4d868..4f946b8 100644
--- a/src/.vuepress/sidebar_timecho/V1.0.x/en.ts
+++ b/src/.vuepress/sidebar_timecho/V1.0.x/en.ts
@@ -33,7 +33,7 @@ export const enSidebar = {
{ text: 'Architecture', link: 'Architecture' },
{ text: 'Scenario', link: 'Scenario' },
{ text: 'Features', link: 'Features' },
- { text: 'Publication', link: 'Publication' },
+ { text: 'Achievement', link: 'Publication' },
],
},
{
diff --git a/src/.vuepress/sidebar_timecho/V1.1.x/en.ts
b/src/.vuepress/sidebar_timecho/V1.1.x/en.ts
index 1fa194b..5a889dc 100644
--- a/src/.vuepress/sidebar_timecho/V1.1.x/en.ts
+++ b/src/.vuepress/sidebar_timecho/V1.1.x/en.ts
@@ -33,7 +33,7 @@ export const enSidebar = {
{ text: 'Architecture', link: 'Architecture' },
{ text: 'Scenario', link: 'Scenario' },
{ text: 'Features', link: 'Features' },
- { text: 'Publication', link: 'Publication' },
+ { text: 'Achievement', link: 'Publication' },
],
},
{
diff --git a/src/.vuepress/sidebar_timecho/V1.2.x/en.ts
b/src/.vuepress/sidebar_timecho/V1.2.x/en.ts
index b8f82a0..d68314e 100644
--- a/src/.vuepress/sidebar_timecho/V1.2.x/en.ts
+++ b/src/.vuepress/sidebar_timecho/V1.2.x/en.ts
@@ -34,7 +34,7 @@ export const enSidebar = {
{ text: 'Architecture', link: 'Architecture' },
{ text: 'Performance', link: 'Performance' },
{ text: 'Scenario', link: 'Scenario' },
- { text: 'Publication', link: 'Publication' },
+ { text: 'Achievement', link: 'Publication' },
],
},
{
diff --git a/src/.vuepress/sidebar_timecho/V1.2.x/zh.ts
b/src/.vuepress/sidebar_timecho/V1.2.x/zh.ts
index 0d3d3e2..5ac7c13 100644
--- a/src/.vuepress/sidebar_timecho/V1.2.x/zh.ts
+++ b/src/.vuepress/sidebar_timecho/V1.2.x/zh.ts
@@ -34,7 +34,7 @@ export const zhSidebar = {
{ text: '系统架构', link: 'Architecture' },
{ text: '性能特点', link: 'Performance' },
{ text: '应用场景', link: 'Scenario' },
- { text: '研究论文', link: 'Publication' },
+ { text: '学术成果', link: 'Publication' },
],
},
{
diff --git a/src/.vuepress/sidebar_timecho/V1.3.x/en.ts
b/src/.vuepress/sidebar_timecho/V1.3.x/en.ts
index ee7be80..864ef2a 100644
--- a/src/.vuepress/sidebar_timecho/V1.3.x/en.ts
+++ b/src/.vuepress/sidebar_timecho/V1.3.x/en.ts
@@ -34,7 +34,7 @@ export const enSidebar = {
{ text: 'Architecture', link: 'Architecture' },
{ text: 'Performance', link: 'Performance' },
{ text: 'Scenario', link: 'Scenario' },
- { text: 'Publication', link: 'Publication' },
+ { text: 'Achievement', link: 'Publication' },
],
},
{
@@ -104,7 +104,7 @@ export const enSidebar = {
children: [
{ text: 'CLI', link: 'CLI' },
// { text: 'Workbench', link: 'Workbench' },
- { text: 'Monitor Tool', link: 'Monitor-Tool' },
+ { text: 'Monitor Tool', link: 'Monitor-Tool_timecho' },
{ text: 'Benchmark', link: 'Benchmark' },
{ text: 'Maintenance Tool', link: 'Maintenance-Tool_timecho' },
{ text: 'Import Export Tool', link: 'Import-Export-Tool' },
diff --git a/src/.vuepress/sidebar_timecho/V1.3.x/zh.ts
b/src/.vuepress/sidebar_timecho/V1.3.x/zh.ts
index b34851d..c307c82 100644
--- a/src/.vuepress/sidebar_timecho/V1.3.x/zh.ts
+++ b/src/.vuepress/sidebar_timecho/V1.3.x/zh.ts
@@ -34,7 +34,7 @@ export const zhSidebar = {
{ text: '系统架构', link: 'Architecture' },
{ text: '性能特点', link: 'Performance' },
{ text: '应用场景', link: 'Scenario' },
- { text: '研究论文', link: 'Publication' },
+ { text: '学术成果', link: 'Publication' },
],
},
{
@@ -104,7 +104,7 @@ export const zhSidebar = {
children: [
{ text: '命令行工具', link: 'CLI' },
{ text: '可视化控制台', link: 'Workbench_timecho' },
- { text: '监控工具', link: 'Monitor-Tool' },
+ { text: '监控工具', link: 'Monitor-Tool_timecho' },
{ text: '测试工具', link: 'Benchmark' },
{ text: '运维工具', link: 'Maintenance-Tool_timecho' },
{ text: '导入导出工具', link: 'Import-Export-Tool' },
diff --git a/src/UserGuide/Master/IoTDB-Introduction/Publication.md
b/src/UserGuide/Master/IoTDB-Introduction/Publication.md
index efa87ca..1f1832e 100644
--- a/src/UserGuide/Master/IoTDB-Introduction/Publication.md
+++ b/src/UserGuide/Master/IoTDB-Introduction/Publication.md
@@ -19,13 +19,12 @@
-->
-# Publication
-
-## Research Papers
+# Academic Achievement
Apache IoTDB starts at Tsinghua University, School of Software. IoTDB is a
database for managing large amount of time series data with columnar storage,
data encoding, pre-computation, and index techniques. It has SQL-like interface
to write millions of data points per second per node and is optimized to get
query results in few seconds over trillions of data points. It can also be
easily integrated with Apache Hadoop MapReduce and Apache Spark for analytics.
The research papers related are as follows:
+* [Apache IoTDB: A Time Series Database for IoT
Applications](https://sxsong.github.io/doc/23sigmod-iotdb.pdf), Chen Wang,
Jialin Qiao, Xiangdong Huang, Shaoxu Song, Haonan Hou, Tian Jiang, Lei Rui,
Jianmin Wang, Jiaguang Sun. SIGMOD 2023.
* [Grouping Time Series for Efficient Columnar
Storage](https://sxsong.github.io/doc/23sigmod-group.pdf), Chenguang Fang,
Shaoxu Song, Haoquan Guan, Xiangdong Huang, Chen Wang, Jianmin Wang. SIGMOD
2023.
* [Learning Autoregressive Model in LSM-Tree based
Store](https://sxsong.github.io/doc/23kdd.pdf), Yunxiang Su, Wenxuan Ma, Shaoxu
Song. SIGMOD 2023.
* [TsQuality: Measuring Time Series Data Quality in Apache
IoTDB](https://sxsong.github.io/doc/23vldb-qaulity.pdf), Yuanhui Qiu, Chenguang
Fang, Shaoxu Song, Xiangdong Huang, Chen Wang, Jianmin Wang. VLDB 2023.
@@ -41,8 +40,3 @@ The research papers related are as follows:
* [Matching Consecutive Subpatterns over Streaming Time
Series](https://link.springer.com/chapter/10.1007/978-3-319-96893-3_8), Rong
Kang and Chen Wang and Peng Wang and Yuting Ding and Jianmin Wang. APWeb/WAIM
2018.
* [PISA: An Index for Aggregating Big Time Series
Data](https://dl.acm.org/citation.cfm?id=2983775&dl=ACM&coll=DL), Xiangdong
Huang and Jianmin Wang and Raymond K. Wong and Jinrui Zhang and Chen Wang. CIKM
2016.
-## Benchmark tools
-
-We also developed Benchmark tools for time series databases
-
-[https://github.com/thulab/iot-benchmark](https://github.com/thulab/iot-benchmark)
diff --git a/src/UserGuide/Master/Tools-System/Monitor-Tool.md
b/src/UserGuide/Master/Tools-System/Monitor-Tool.md
index 7f62135..7325f4d 100644
--- a/src/UserGuide/Master/Tools-System/Monitor-Tool.md
+++ b/src/UserGuide/Master/Tools-System/Monitor-Tool.md
@@ -107,14 +107,14 @@ The following documents may help you have a good journey
with Prometheus and Gra
## Apache IoTDB Dashboard
-We introduce the Apache IoTDB Dashboard, designed for unified centralized
operations and management. With it, multiple clusters can be monitored through
a single panel.
+`Apache IoTDB Dashboard` is available as a supplement to IoTDB Enterprise
Edition, designed for unified centralized operations and management. With it,
multiple clusters can be monitored through a single panel. You can access the
Dashboard's Json file by contacting Commerce.
+
-You can access the Dashboard's Json file in the enterprise edition.
### Cluster Overview
diff --git a/src/UserGuide/Master/Tools-System/Monitor-Tool.md
b/src/UserGuide/Master/Tools-System/Monitor-Tool_timecho.md
similarity index 100%
copy from src/UserGuide/Master/Tools-System/Monitor-Tool.md
copy to src/UserGuide/Master/Tools-System/Monitor-Tool_timecho.md
diff --git a/src/UserGuide/V0.13.x/IoTDB-Introduction/Publication.md
b/src/UserGuide/V0.13.x/IoTDB-Introduction/Publication.md
index c16df88..8257b2f 100644
--- a/src/UserGuide/V0.13.x/IoTDB-Introduction/Publication.md
+++ b/src/UserGuide/V0.13.x/IoTDB-Introduction/Publication.md
@@ -19,7 +19,7 @@
-->
-## Research Papers
+# Academic Achievement
Apache IoTDB starts at Tsinghua University, School of Software. IoTDB is a
database for managing large amount of time series data with columnar storage,
data encoding, pre-computation, and index techniques. It has SQL-like interface
to write millions of data points per second per node and is optimized to get
query results in few seconds over trillions of data points. It can also be
easily integrated with Apache Hadoop MapReduce and Apache Spark for analytics.
@@ -38,9 +38,3 @@ The research papers related are as follows:
* [The Design of Apache IoTDB distributed
framework](http://ndbc2019.sdu.edu.cn/info/1002/1044.htm), Tianan Li, Jianmin
Wang, Xiangdong Huang, Yi Xu, Dongfang Mao, Jun Yuan. NDBC 2019.
* [Matching Consecutive Subpatterns over Streaming Time
Series](https://link.springer.com/chapter/10.1007/978-3-319-96893-3_8), Rong
Kang and Chen Wang and Peng Wang and Yuting Ding and Jianmin Wang. APWeb/WAIM
2018.
* [PISA: An Index for Aggregating Big Time Series
Data](https://dl.acm.org/citation.cfm?id=2983775&dl=ACM&coll=DL), Xiangdong
Huang and Jianmin Wang and Raymond K. Wong and Jinrui Zhang and Chen Wang. CIKM
2016.
-
-## Benchmark tools
-
-We also developed Benchmark tools for time series databases
-
-https://github.com/thulab/iotdb-benchmark
\ No newline at end of file
diff --git a/src/UserGuide/V0.13.x/Maintenance-Tools/Metric-Tool.md
b/src/UserGuide/V0.13.x/Maintenance-Tools/Metric-Tool.md
index d1bbbf0..0e4ad7d 100644
--- a/src/UserGuide/V0.13.x/Maintenance-Tools/Metric-Tool.md
+++ b/src/UserGuide/V0.13.x/Maintenance-Tools/Metric-Tool.md
@@ -361,8 +361,8 @@ We provide the Apache IoTDB Dashboard, and the rendering
shown in Grafana is as
How to get Apache IoTDB Dashboard:
-1. You can obtain the json files of Dashboards corresponding to different
iotdb versions in the grafana-metrics-example folder.
-2. You can visit [Grafana Dashboard official
website](https://grafana.com/grafana/dashboards/), search for `Apache IoTDB
Dashboard` and use
+Method one: You can obtain the json files of Dashboards corresponding to
different iotdb versions in the grafana-metrics-example folder.
+Method two: You can visit Grafana Dashboard official website, click here to
download [Apache IoTDB Dashboard](https://grafana.com/grafana/dashboards/).
When creating Grafana, you can select the json file you just downloaded to
`Import` and select the corresponding target data source for Apache IoTDB
Dashboard.
diff --git a/src/UserGuide/V1.0.x/IoTDB-Introduction/Publication.md
b/src/UserGuide/V1.0.x/IoTDB-Introduction/Publication.md
index 2084188..f6ac115 100644
--- a/src/UserGuide/V1.0.x/IoTDB-Introduction/Publication.md
+++ b/src/UserGuide/V1.0.x/IoTDB-Introduction/Publication.md
@@ -19,7 +19,7 @@
-->
-## Research Papers
+# Academic Achievement
Apache IoTDB starts at Tsinghua University, School of Software. IoTDB is a
database for managing large amount of time series data with columnar storage,
data encoding, pre-computation, and index techniques. It has SQL-like interface
to write millions of data points per second per node and is optimized to get
query results in few seconds over trillions of data points. It can also be
easily integrated with Apache Hadoop MapReduce and Apache Spark for analytics.
@@ -39,8 +39,3 @@ The research papers related are as follows:
* [Matching Consecutive Subpatterns over Streaming Time
Series](https://link.springer.com/chapter/10.1007/978-3-319-96893-3_8), Rong
Kang and Chen Wang and Peng Wang and Yuting Ding and Jianmin Wang. APWeb/WAIM
2018.
* [PISA: An Index for Aggregating Big Time Series
Data](https://dl.acm.org/citation.cfm?id=2983775&dl=ACM&coll=DL), Xiangdong
Huang and Jianmin Wang and Raymond K. Wong and Jinrui Zhang and Chen Wang. CIKM
2016.
-## Benchmark tools
-
-We also developed Benchmark tools for time series databases
-
-[https://github.com/thulab/iot-benchmark](https://github.com/thulab/iot-benchmark)
diff --git a/src/UserGuide/V1.1.x/IoTDB-Introduction/Publication.md
b/src/UserGuide/V1.1.x/IoTDB-Introduction/Publication.md
index 2084188..1823f5e 100644
--- a/src/UserGuide/V1.1.x/IoTDB-Introduction/Publication.md
+++ b/src/UserGuide/V1.1.x/IoTDB-Introduction/Publication.md
@@ -19,7 +19,7 @@
-->
-## Research Papers
+# Academic Achievement
Apache IoTDB starts at Tsinghua University, School of Software. IoTDB is a
database for managing large amount of time series data with columnar storage,
data encoding, pre-computation, and index techniques. It has SQL-like interface
to write millions of data points per second per node and is optimized to get
query results in few seconds over trillions of data points. It can also be
easily integrated with Apache Hadoop MapReduce and Apache Spark for analytics.
@@ -39,8 +39,4 @@ The research papers related are as follows:
* [Matching Consecutive Subpatterns over Streaming Time
Series](https://link.springer.com/chapter/10.1007/978-3-319-96893-3_8), Rong
Kang and Chen Wang and Peng Wang and Yuting Ding and Jianmin Wang. APWeb/WAIM
2018.
* [PISA: An Index for Aggregating Big Time Series
Data](https://dl.acm.org/citation.cfm?id=2983775&dl=ACM&coll=DL), Xiangdong
Huang and Jianmin Wang and Raymond K. Wong and Jinrui Zhang and Chen Wang. CIKM
2016.
-## Benchmark tools
-We also developed Benchmark tools for time series databases
-
-[https://github.com/thulab/iot-benchmark](https://github.com/thulab/iot-benchmark)
diff --git a/src/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.md
b/src/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.md
index c7e3483..c41dd9f 100644
--- a/src/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.md
+++ b/src/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.md
@@ -612,12 +612,10 @@ The following documents may help you have a good journey
with Prometheus and Gra
#### 5.2.4. Apache IoTDB Dashboard
-We provide the Apache IoTDB Dashboard, and the rendering shown in Grafana is
as follows:
+`Apache IoTDB Dashboard` is available as a supplement to IoTDB Enterprise
Edition, designed for unified centralized operations and management. With it,
multiple clusters can be monitored through a single panel. You can access the
Dashboard's Json file by contacting Commerce.
-You can obtain the json files of Dashboards in enterprise version.
-
### 5.3. IoTDB
#### 5.3.1. IoTDB mapping relationship of metrics
diff --git a/src/UserGuide/V1.2.x/IoTDB-Introduction/Publication.md
b/src/UserGuide/V1.2.x/IoTDB-Introduction/Publication.md
index 69a45e2..f6ac115 100644
--- a/src/UserGuide/V1.2.x/IoTDB-Introduction/Publication.md
+++ b/src/UserGuide/V1.2.x/IoTDB-Introduction/Publication.md
@@ -19,7 +19,7 @@
-->
-# Research Papers
+# Academic Achievement
Apache IoTDB starts at Tsinghua University, School of Software. IoTDB is a
database for managing large amount of time series data with columnar storage,
data encoding, pre-computation, and index techniques. It has SQL-like interface
to write millions of data points per second per node and is optimized to get
query results in few seconds over trillions of data points. It can also be
easily integrated with Apache Hadoop MapReduce and Apache Spark for analytics.
diff --git a/src/UserGuide/V1.2.x/Tools-System/Monitor-Tool.md
b/src/UserGuide/V1.2.x/Tools-System/Monitor-Tool.md
index 9839147..b6eb265 100644
--- a/src/UserGuide/V1.2.x/Tools-System/Monitor-Tool.md
+++ b/src/UserGuide/V1.2.x/Tools-System/Monitor-Tool.md
@@ -107,15 +107,13 @@ The following documents may help you have a good journey
with Prometheus and Gra
## Apache IoTDB Dashboard
-We introduce the Apache IoTDB Dashboard, designed for unified centralized
operations and management. With it, multiple clusters can be monitored through
a single panel.
+`Apache IoTDB Dashboard` is available as a supplement to IoTDB Enterprise
Edition, designed for unified centralized operations and management. With it,
multiple clusters can be monitored through a single panel. You can access the
Dashboard's Json file by contacting Commerce.
-You can access the Dashboard's Json file in the enterprise edition.
-
### Cluster Overview
Including but not limited to:
diff --git a/src/UserGuide/V1.2.x/Tools-System/Monitor-Tool.md
b/src/UserGuide/V1.2.x/Tools-System/Monitor-Tool_timecho.md
similarity index 100%
copy from src/UserGuide/V1.2.x/Tools-System/Monitor-Tool.md
copy to src/UserGuide/V1.2.x/Tools-System/Monitor-Tool_timecho.md
diff --git a/src/UserGuide/latest/IoTDB-Introduction/Publication.md
b/src/UserGuide/latest/IoTDB-Introduction/Publication.md
index 1b4368b..1f1832e 100644
--- a/src/UserGuide/latest/IoTDB-Introduction/Publication.md
+++ b/src/UserGuide/latest/IoTDB-Introduction/Publication.md
@@ -19,9 +19,7 @@
-->
-# Publication
-
-## Research Papers
+# Academic Achievement
Apache IoTDB starts at Tsinghua University, School of Software. IoTDB is a
database for managing large amount of time series data with columnar storage,
data encoding, pre-computation, and index techniques. It has SQL-like interface
to write millions of data points per second per node and is optimized to get
query results in few seconds over trillions of data points. It can also be
easily integrated with Apache Hadoop MapReduce and Apache Spark for analytics.
@@ -42,8 +40,3 @@ The research papers related are as follows:
* [Matching Consecutive Subpatterns over Streaming Time
Series](https://link.springer.com/chapter/10.1007/978-3-319-96893-3_8), Rong
Kang and Chen Wang and Peng Wang and Yuting Ding and Jianmin Wang. APWeb/WAIM
2018.
* [PISA: An Index for Aggregating Big Time Series
Data](https://dl.acm.org/citation.cfm?id=2983775&dl=ACM&coll=DL), Xiangdong
Huang and Jianmin Wang and Raymond K. Wong and Jinrui Zhang and Chen Wang. CIKM
2016.
-## Benchmark tools
-
-We also developed Benchmark tools for time series databases
-
-[https://github.com/thulab/iot-benchmark](https://github.com/thulab/iot-benchmark)
diff --git a/src/UserGuide/latest/Tools-System/Monitor-Tool.md
b/src/UserGuide/latest/Tools-System/Monitor-Tool.md
index 7f62135..7325f4d 100644
--- a/src/UserGuide/latest/Tools-System/Monitor-Tool.md
+++ b/src/UserGuide/latest/Tools-System/Monitor-Tool.md
@@ -107,14 +107,14 @@ The following documents may help you have a good journey
with Prometheus and Gra
## Apache IoTDB Dashboard
-We introduce the Apache IoTDB Dashboard, designed for unified centralized
operations and management. With it, multiple clusters can be monitored through
a single panel.
+`Apache IoTDB Dashboard` is available as a supplement to IoTDB Enterprise
Edition, designed for unified centralized operations and management. With it,
multiple clusters can be monitored through a single panel. You can access the
Dashboard's Json file by contacting Commerce.
+
-You can access the Dashboard's Json file in the enterprise edition.
### Cluster Overview
diff --git a/src/UserGuide/Master/Tools-System/Monitor-Tool.md
b/src/UserGuide/latest/Tools-System/Monitor-Tool_timecho.md
similarity index 100%
copy from src/UserGuide/Master/Tools-System/Monitor-Tool.md
copy to src/UserGuide/latest/Tools-System/Monitor-Tool_timecho.md
diff --git a/src/zh/UserGuide/Master/IoTDB-Introduction/Publication.md
b/src/zh/UserGuide/Master/IoTDB-Introduction/Publication.md
index f7d2216..bd7f431 100644
--- a/src/zh/UserGuide/Master/IoTDB-Introduction/Publication.md
+++ b/src/zh/UserGuide/Master/IoTDB-Introduction/Publication.md
@@ -19,9 +19,7 @@
-->
-# 公开发表
-
-## 研究论文
+# 学术成果
Apache IoTDB 始于清华大学软件学院。IoTDB 是一个用于管理大量时间序列数据的数据库，它采用了列式存储、数据编码、预计算和索引技术，具有类
SQL 的接口，可支持每秒每节点写入数百万数据点，可以秒级获得超过数万亿个数据点的查询结果。它还可以很容易地与 Apache Hadoop、MapReduce
和 Apache Spark 集成以进行分析。
@@ -40,8 +38,4 @@ Apache IoTDB 始于清华大学软件学院。IoTDB 是一个用于管理大量
* [The Design of Apache IoTDB distributed
framework](http://ndbc2019.sdu.edu.cn/info/1002/1044.htm), Tianan Li, Jianmin
Wang, Xiangdong Huang, Yi Xu, Dongfang Mao, Jun Yuan. NDBC 2019.
* [Matching Consecutive Subpatterns over Streaming Time
Series](https://link.springer.com/chapter/10.1007/978-3-319-96893-3_8), Rong
Kang and Chen Wang and Peng Wang and Yuting Ding and Jianmin Wang. APWeb/WAIM
2018.
* [PISA: An Index for Aggregating Big Time Series
Data](https://dl.acm.org/citation.cfm?id=2983775&dl=ACM&coll=DL), Xiangdong
Huang and Jianmin Wang and Raymond K. Wong and Jinrui Zhang and Chen Wang. CIKM
2016.
-## Benchmark 工具
-
-我们还研发了面向时间序列数据库的 Benchmark 工具：
-[https://github.com/thulab/iot-benchmark](https://github.com/thulab/iot-benchmark)
diff --git a/src/zh/UserGuide/Master/Tools-System/Monitor-Tool.md
b/src/zh/UserGuide/Master/Tools-System/Monitor-Tool.md
index c098b7d..58167fc 100644
--- a/src/zh/UserGuide/Master/Tools-System/Monitor-Tool.md
+++ b/src/zh/UserGuide/Master/Tools-System/Monitor-Tool.md
@@ -102,13 +102,13 @@ static_configs:
## Apache IoTDB Dashboard
-我们提供了Apache IoTDB Dashboard，支持统一集中式运维管理，可通过一个监控面板监控多个集群。
+`Apache IoTDB Dashboard`是 IoTDB
企业版的配套产品，支持统一集中式运维管理，可通过一个监控面板监控多个集群。你可以联系商务获取到 Dashboard 的 Json文件。
+
-你可以在企业版中获取到 Dashboard 的 Json文件。
### 集群概览
diff --git a/src/zh/UserGuide/Master/Tools-System/Monitor-Tool.md
b/src/zh/UserGuide/Master/Tools-System/Monitor-Tool_timecho.md
similarity index 100%
copy from src/zh/UserGuide/Master/Tools-System/Monitor-Tool.md
copy to src/zh/UserGuide/Master/Tools-System/Monitor-Tool_timecho.md
diff --git a/src/zh/UserGuide/V0.13.x/IoTDB-Introduction/Publication.md
b/src/zh/UserGuide/V0.13.x/IoTDB-Introduction/Publication.md
index d93b08c..bd7f431 100644
--- a/src/zh/UserGuide/V0.13.x/IoTDB-Introduction/Publication.md
+++ b/src/zh/UserGuide/V0.13.x/IoTDB-Introduction/Publication.md
@@ -19,7 +19,7 @@
-->
-## 研究论文
+# 学术成果
Apache IoTDB 始于清华大学软件学院。IoTDB 是一个用于管理大量时间序列数据的数据库，它采用了列式存储、数据编码、预计算和索引技术，具有类
SQL 的接口，可支持每秒每节点写入数百万数据点，可以秒级获得超过数万亿个数据点的查询结果。它还可以很容易地与 Apache Hadoop、MapReduce
和 Apache Spark 集成以进行分析。
@@ -39,8 +39,3 @@ Apache IoTDB 始于清华大学软件学院。IoTDB 是一个用于管理大量
* [Matching Consecutive Subpatterns over Streaming Time
Series](https://link.springer.com/chapter/10.1007/978-3-319-96893-3_8), Rong
Kang and Chen Wang and Peng Wang and Yuting Ding and Jianmin Wang. APWeb/WAIM
2018.
* [PISA: An Index for Aggregating Big Time Series
Data](https://dl.acm.org/citation.cfm?id=2983775&dl=ACM&coll=DL), Xiangdong
Huang and Jianmin Wang and Raymond K. Wong and Jinrui Zhang and Chen Wang. CIKM
2016.
-## Benchmark 工具
-
-我们还研发了面向时间序列数据库的 Benchmark 工具：
-
-https://github.com/thulab/iotdb-benchmark
diff --git a/src/zh/UserGuide/V0.13.x/Maintenance-Tools/Metric-Tool.md
b/src/zh/UserGuide/V0.13.x/Maintenance-Tools/Metric-Tool.md
index dff0425..d5b9a11 100644
--- a/src/zh/UserGuide/V0.13.x/Maintenance-Tools/Metric-Tool.md
+++ b/src/zh/UserGuide/V0.13.x/Maintenance-Tools/Metric-Tool.md
@@ -362,8 +362,8 @@ static_configs:
Apache IoTDB Dashboard的获取方式：
-1. 您可以在grafana-metrics-example文件夹下获取到对应不同iotdb版本的Dashboard的json文件。
-2. 您可以访问[Grafana
Dashboard官网](https://grafana.com/grafana/dashboards/)搜索`Apache IoTDB
Dashboard`并使用
+方式一： 您可以在grafana-metrics-example文件夹下获取到对应不同iotdb版本的Dashboard的json文件。
+方式二： 您可以访问Grafana Dashboard官网，点击下载 [Apache IoTDB
Dashboard](https://grafana.com/grafana/dashboards/16132-apache-iotdb-dashboard/?tab=revisions)。
在创建Grafana时，您可以选择Import刚刚下载的json文件，并为Apache IoTDB Dashboard选择对应目标数据源。
diff --git a/src/zh/UserGuide/V1.0.x/IoTDB-Introduction/Publication.md
b/src/zh/UserGuide/V1.0.x/IoTDB-Introduction/Publication.md
index b464eeb..bd7f431 100644
--- a/src/zh/UserGuide/V1.0.x/IoTDB-Introduction/Publication.md
+++ b/src/zh/UserGuide/V1.0.x/IoTDB-Introduction/Publication.md
@@ -19,7 +19,7 @@
-->
-## 研究论文
+# 学术成果
Apache IoTDB 始于清华大学软件学院。IoTDB 是一个用于管理大量时间序列数据的数据库，它采用了列式存储、数据编码、预计算和索引技术，具有类
SQL 的接口，可支持每秒每节点写入数百万数据点，可以秒级获得超过数万亿个数据点的查询结果。它还可以很容易地与 Apache Hadoop、MapReduce
和 Apache Spark 集成以进行分析。
@@ -39,8 +39,3 @@ Apache IoTDB 始于清华大学软件学院。IoTDB 是一个用于管理大量
* [Matching Consecutive Subpatterns over Streaming Time
Series](https://link.springer.com/chapter/10.1007/978-3-319-96893-3_8), Rong
Kang and Chen Wang and Peng Wang and Yuting Ding and Jianmin Wang. APWeb/WAIM
2018.
* [PISA: An Index for Aggregating Big Time Series
Data](https://dl.acm.org/citation.cfm?id=2983775&dl=ACM&coll=DL), Xiangdong
Huang and Jianmin Wang and Raymond K. Wong and Jinrui Zhang and Chen Wang. CIKM
2016.
-## Benchmark 工具
-
-我们还研发了面向时间序列数据库的 Benchmark 工具：
-
-[https://github.com/thulab/iot-benchmark](https://github.com/thulab/iot-benchmark)
diff --git a/src/zh/UserGuide/V1.1.x/IoTDB-Introduction/Publication.md
b/src/zh/UserGuide/V1.1.x/IoTDB-Introduction/Publication.md
index c14309e..2b33178 100644
--- a/src/zh/UserGuide/V1.1.x/IoTDB-Introduction/Publication.md
+++ b/src/zh/UserGuide/V1.1.x/IoTDB-Introduction/Publication.md
@@ -23,7 +23,7 @@ order: 50
-->
-## 研究论文
+# 学术成果
Apache IoTDB 始于清华大学软件学院。IoTDB 是一个用于管理大量时间序列数据的数据库，它采用了列式存储、数据编码、预计算和索引技术，具有类
SQL 的接口，可支持每秒每节点写入数百万数据点，可以秒级获得超过数万亿个数据点的查询结果。它还可以很容易地与 Apache Hadoop、MapReduce
和 Apache Spark 集成以进行分析。
@@ -43,8 +43,3 @@ Apache IoTDB 始于清华大学软件学院。IoTDB 是一个用于管理大量
* [Matching Consecutive Subpatterns over Streaming Time
Series](https://link.springer.com/chapter/10.1007/978-3-319-96893-3_8), Rong
Kang and Chen Wang and Peng Wang and Yuting Ding and Jianmin Wang. APWeb/WAIM
2018.
* [PISA: An Index for Aggregating Big Time Series
Data](https://dl.acm.org/citation.cfm?id=2983775&dl=ACM&coll=DL), Xiangdong
Huang and Jianmin Wang and Raymond K. Wong and Jinrui Zhang and Chen Wang. CIKM
2016.
-## Benchmark 工具
-
-我们还研发了面向时间序列数据库的 Benchmark 工具：
-
-[https://github.com/thulab/iot-benchmark](https://github.com/thulab/iot-benchmark)
diff --git a/src/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.md
b/src/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.md
index fcf7acb..351508d 100644
--- a/src/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.md
+++ b/src/zh/UserGuide/V1.1.x/Monitor-Alert/Metric-Tool.md
@@ -555,11 +555,10 @@ static_configs:
#### 5.2.4. Apache IoTDB Dashboard
-我们提供了Apache IoTDB Dashboard，在Grafana中显示的效果图如下所示：
+`Apache IoTDB Dashboard`是 IoTDB
企业版的配套产品，支持统一集中式运维管理，可通过一个监控面板监控多个集群。你可以联系商务获取到 Dashboard 的 Json文件。
-你可以在企业版中获取到 Dashboard 的 Json文件。
### 5.3. 使用 IoTDB 方式
diff --git a/src/zh/UserGuide/V1.2.x/IoTDB-Introduction/Publication.md
b/src/zh/UserGuide/V1.2.x/IoTDB-Introduction/Publication.md
index 713d8fa..66726f5 100644
--- a/src/zh/UserGuide/V1.2.x/IoTDB-Introduction/Publication.md
+++ b/src/zh/UserGuide/V1.2.x/IoTDB-Introduction/Publication.md
@@ -21,7 +21,7 @@
-# 研究论文
+# 学术成果
Apache IoTDB 始于清华大学软件学院。IoTDB 是一个用于管理大量时间序列数据的数据库，它采用了列式存储、数据编码、预计算和索引技术，具有类
SQL 的接口，可支持每秒每节点写入数百万数据点，可以秒级获得超过数万亿个数据点的查询结果。它还可以很容易地与 Apache Hadoop、MapReduce
和 Apache Spark 集成以进行分析。
diff --git a/src/zh/UserGuide/V1.2.x/Tools-System/Monitor-Tool.md
b/src/zh/UserGuide/V1.2.x/Tools-System/Monitor-Tool.md
index 4232582..e6c1e53 100644
--- a/src/zh/UserGuide/V1.2.x/Tools-System/Monitor-Tool.md
+++ b/src/zh/UserGuide/V1.2.x/Tools-System/Monitor-Tool.md
@@ -102,13 +102,12 @@ static_configs:
### Apache IoTDB Dashboard
-我们提供了Apache IoTDB Dashboard，支持统一集中式运维管理，可通过一个监控面板监控多个集群。
+`Apache IoTDB Dashboard`是 IoTDB
企业版的配套产品，支持统一集中式运维管理，可通过一个监控面板监控多个集群。你可以联系商务获取到 Dashboard 的 Json文件。
-你可以在企业版中获取到 Dashboard 的 Json文件。
#### 集群概览
diff --git a/src/zh/UserGuide/V1.2.x/Tools-System/Monitor-Tool.md
b/src/zh/UserGuide/V1.2.x/Tools-System/Monitor-Tool_timecho.md
similarity index 100%
copy from src/zh/UserGuide/V1.2.x/Tools-System/Monitor-Tool.md
copy to src/zh/UserGuide/V1.2.x/Tools-System/Monitor-Tool_timecho.md
diff --git a/src/zh/UserGuide/latest/IoTDB-Introduction/Publication.md
b/src/zh/UserGuide/latest/IoTDB-Introduction/Publication.md
index 22eb97f..919e6b3 100644
--- a/src/zh/UserGuide/latest/IoTDB-Introduction/Publication.md
+++ b/src/zh/UserGuide/latest/IoTDB-Introduction/Publication.md
@@ -19,9 +19,7 @@
-->
-# 公开发表
-
-## 研究论文
+# 学术成果
Apache IoTDB 始于清华大学软件学院。IoTDB 是一个用于管理大量时间序列数据的数据库，它采用了列式存储、数据编码、预计算和索引技术，具有类
SQL 的接口，可支持每秒每节点写入数百万数据点，可以秒级获得超过数万亿个数据点的查询结果。它还可以很容易地与 Apache Hadoop、MapReduce
和 Apache Spark 集成以进行分析。
@@ -42,9 +40,3 @@ Apache IoTDB 始于清华大学软件学院。IoTDB 是一个用于管理大量
* [Matching Consecutive Subpatterns over Streaming Time
Series](https://link.springer.com/chapter/10.1007/978-3-319-96893-3_8), Rong
Kang and Chen Wang and Peng Wang and Yuting Ding and Jianmin Wang. APWeb/WAIM
2018.
* [PISA: An Index for Aggregating Big Time Series
Data](https://dl.acm.org/citation.cfm?id=2983775&dl=ACM&coll=DL), Xiangdong
Huang and Jianmin Wang and Raymond K. Wong and Jinrui Zhang and Chen Wang. CIKM
2016.
-
-## Benchmark 工具
-
-我们还研发了面向时间序列数据库的 Benchmark 工具：
-
-[https://github.com/thulab/iot-benchmark](https://github.com/thulab/iot-benchmark)
diff --git a/src/zh/UserGuide/latest/Tools-System/Monitor-Tool.md
b/src/zh/UserGuide/latest/Tools-System/Monitor-Tool.md
index c098b7d..58167fc 100644
--- a/src/zh/UserGuide/latest/Tools-System/Monitor-Tool.md
+++ b/src/zh/UserGuide/latest/Tools-System/Monitor-Tool.md
@@ -102,13 +102,13 @@ static_configs:
## Apache IoTDB Dashboard
-我们提供了Apache IoTDB Dashboard，支持统一集中式运维管理，可通过一个监控面板监控多个集群。
+`Apache IoTDB Dashboard`是 IoTDB
企业版的配套产品，支持统一集中式运维管理，可通过一个监控面板监控多个集群。你可以联系商务获取到 Dashboard 的 Json文件。
+
-你可以在企业版中获取到 Dashboard 的 Json文件。
### 集群概览
diff --git a/src/zh/UserGuide/Master/Tools-System/Monitor-Tool.md
b/src/zh/UserGuide/latest/Tools-System/Monitor-Tool_timecho.md
similarity index 100%
copy from src/zh/UserGuide/Master/Tools-System/Monitor-Tool.md
copy to src/zh/UserGuide/latest/Tools-System/Monitor-Tool_timecho.md
