diff --git a/docs-cn/14-reference/03-connector/03-connector.mdx b/docs-cn/14-reference/03-connector/03-connector.mdx index c0e714f148a7821e070be38a5484484fdd747e9a..408337a6d7bd184d1e24ea45f82ac7bc0c5542ce 100644 --- a/docs-cn/14-reference/03-connector/03-connector.mdx +++ b/docs-cn/14-reference/03-connector/03-connector.mdx @@ -4,7 +4,7 @@ title: 连接器 TDengine 提供了丰富的应用程序开发接口，为了便于用户快速开发自己的应用，TDengine 支持了多种编程语言的连接器，其中官方连接器包括支持 C/C++、Java、Python、Go、Node.js、C# 和 Rust 的连接器。这些连接器支持使用原生接口（taosc）和 REST 接口（部分语言暂不支持）连接 TDengine 集群。社区开发者也贡献了多个非官方连接器，例如 ADO.NET 连接器、Lua 连接器和 PHP 连接器。 -![image-connector](/img/connector.png) +![image-connector](./connector.png) ## 支持的平台 diff --git a/docs-cn/14-reference/03-connector/connector.png b/docs-cn/14-reference/03-connector/connector.png new file mode 100644 index 0000000000000000000000000000000000000000..6030bd73f51123615eabacfa5d734918559ce3d9 Binary files /dev/null and b/docs-cn/14-reference/03-connector/connector.png differ diff --git a/docs-cn/20-third-party/01-grafana.mdx b/docs-cn/20-third-party/01-grafana.mdx index 9a4c33d8aceb086ff8ba8dca0f38b1bcbf762005..9a75939f7a51055fc90e1b7f243f1bb042fd79f7 100644 --- a/docs-cn/20-third-party/01-grafana.mdx +++ b/docs-cn/20-third-party/01-grafana.mdx @@ -64,15 +64,15 @@ GF_PLUGINS_ALLOW_LOADING_UNSIGNED_PLUGINS=tdengine-datasource 用户可以直接通过 http://localhost:3000 的网址，登录 Grafana 服务器（用户名/密码：admin/admin），通过左侧 `Configuration -> Data Sources` 可以添加数据源，如下图所示： -![img](/img/connections/add_datasource1.jpg) +![img](./add_datasource1.jpg) 点击 `Add data source` 可进入新增数据源页面，在查询框中输入 TDengine 可选择添加，如下图所示： -![img](/img/connections/add_datasource2.jpg) +![img](./add_datasource2.jpg) 进入数据源配置页面，按照默认提示修改相应配置即可： -![img](/img/connections/add_datasource3.jpg) +![img](./add_datasource3.jpg) - Host： TDengine 集群中提供 REST 服务 （在 2.4 之前由 taosd 提供， 从 2.4 开始由 taosAdapter 提供）的组件所在服务器的 IP 地址与 TDengine REST 服务的端口号(6041)，默认 http://localhost:6041。 - User：TDengine 用户名。 @@ -80,13 +80,13 @@ GF_PLUGINS_ALLOW_LOADING_UNSIGNED_PLUGINS=tdengine-datasource 点击 `Save & Test` 进行测试，成功会有如下提示： -![img](/img/connections/add_datasource4.jpg) +![img](./add_datasource4.jpg) ### 创建 Dashboard 回到主界面创建 Dashboard，点击 Add Query 进入面板查询页面： -![img](/img/connections/create_dashboard1.jpg) +![img](./create_dashboard1.jpg) 如上图所示，在 Query 中选中 `TDengine` 数据源，在下方查询框可输入相应 SQL 进行查询，具体说明如下： @@ -96,7 +96,7 @@ GF_PLUGINS_ALLOW_LOADING_UNSIGNED_PLUGINS=tdengine-datasource 按照默认提示查询当前 TDengine 部署所在服务器指定间隔系统内存平均使用量如下： -![img](/img/connections/create_dashboard2.jpg) +![img](./create_dashboard2.jpg) > 关于如何使用 Grafana 创建相应的监测界面以及更多有关使用 Grafana 的信息，请参考 Grafana 官方的[文档](https://grafana.com/docs/)。 diff --git a/docs-cn/20-third-party/add_datasource1.jpg b/docs-cn/20-third-party/add_datasource1.jpg new file mode 100644 index 0000000000000000000000000000000000000000..1f0f5110f312c57f3ec1788bbc02f04fac6ac142 Binary files /dev/null and b/docs-cn/20-third-party/add_datasource1.jpg differ diff --git a/docs-cn/20-third-party/add_datasource2.jpg b/docs-cn/20-third-party/add_datasource2.jpg new file mode 100644 index 0000000000000000000000000000000000000000..fa7a83e00e96fae649910dff4edf5f5bdadd7850 Binary files /dev/null and b/docs-cn/20-third-party/add_datasource2.jpg differ diff --git a/docs-cn/20-third-party/add_datasource3.jpg b/docs-cn/20-third-party/add_datasource3.jpg new file mode 100644 index 0000000000000000000000000000000000000000..fc850ad08ff1174de972906842e0d5ee64e6e5cb Binary files /dev/null and b/docs-cn/20-third-party/add_datasource3.jpg differ diff --git a/docs-cn/20-third-party/add_datasource4.jpg b/docs-cn/20-third-party/add_datasource4.jpg new file mode 100644 index 0000000000000000000000000000000000000000..3ba73e50d455111f8621f4165746078554c2d790 Binary files /dev/null and b/docs-cn/20-third-party/add_datasource4.jpg differ diff --git a/docs-cn/20-third-party/create_dashboard1.jpg b/docs-cn/20-third-party/create_dashboard1.jpg new file mode 100644 index 0000000000000000000000000000000000000000..3b83c3a1714e9e7540e0b06239ef7c1c4f63fe2c Binary files /dev/null and b/docs-cn/20-third-party/create_dashboard1.jpg differ diff --git a/docs-cn/20-third-party/create_dashboard2.jpg b/docs-cn/20-third-party/create_dashboard2.jpg new file mode 100644 index 0000000000000000000000000000000000000000..fe5d768ac55254251e0290bf257178f5ff28f5a5 Binary files /dev/null and b/docs-cn/20-third-party/create_dashboard2.jpg differ diff --git a/docs-cn/20-third-party/dashboard-15146.png b/docs-cn/20-third-party/dashboard-15146.png new file mode 100644 index 0000000000000000000000000000000000000000..3eb240ad8ad648953e32f27e674e2a9171ed9af8 Binary files /dev/null and b/docs-cn/20-third-party/dashboard-15146.png differ diff --git a/docs-cn/20-third-party/import_dashboard1.jpg b/docs-cn/20-third-party/import_dashboard1.jpg new file mode 100644 index 0000000000000000000000000000000000000000..9d2ce7ed65eb0c2c729de50283b30491793493dc Binary files /dev/null and b/docs-cn/20-third-party/import_dashboard1.jpg differ diff --git a/docs-cn/20-third-party/import_dashboard2.jpg b/docs-cn/20-third-party/import_dashboard2.jpg new file mode 100644 index 0000000000000000000000000000000000000000..94b09f0ee39552bb84f7ba1f65815ce2c9548b2d Binary files /dev/null and b/docs-cn/20-third-party/import_dashboard2.jpg differ diff --git a/docs-cn/21-tdinternal/01-arch.md b/docs-cn/21-tdinternal/01-arch.md index 6f479efc1ad13e27899e7819d194a2df59ed3ad1..8577309744de14ae43aedee9e754214d8656ab86 100644 --- a/docs-cn/21-tdinternal/01-arch.md +++ b/docs-cn/21-tdinternal/01-arch.md @@ -11,7 +11,7 @@ TDengine 的设计是基于单个硬件、软件系统不可靠，基于任何 TDengine 分布式架构的逻辑结构图如下： -![TDengine架构示意图](/img/architecture/structure.png) +![TDengine架构示意图](./structure.png)
图 1 TDengine架构示意图
@@ -63,7 +63,7 @@ TDengine 分布式架构的逻辑结构图如下： 为解释 vnode、mnode、taosc 和应用之间的关系以及各自扮演的角色，下面对写入数据这个典型操作的流程进行剖析。 -![TDengine典型的操作流程](/img/architecture/message.png) +![TDengine典型的操作流程](./message.png)
图 2 TDengine 典型的操作流程
@@ -135,7 +135,7 @@ TDengine 除 vnode 分片之外，还对时序数据按照时间段进行分区 Master Vnode 遵循下面的写入流程： -![TDengine Master写入流程](/img/architecture/write_master.png) +![TDengine Master写入流程](./write_master.png)
图 3 TDengine Master 写入流程
@@ -150,7 +150,7 @@ Master Vnode 遵循下面的写入流程： 对于 slave vnode，写入流程是： -![TDengine Slave 写入流程](/img/architecture/write_slave.png) +![TDengine Slave 写入流程](./write_slave.png)
图 4 TDengine Slave 写入流程
@@ -284,7 +284,7 @@ SELECT COUNT(*) FROM d1001 WHERE ts >= '2017-7-14 00:00:00' AND ts < '2017-7-14 TDengine 对每个数据采集点单独建表，但在实际应用中经常需要对不同的采集点数据进行聚合。为高效的进行聚合操作，TDengine 引入超级表（STable）的概念。超级表用来代表一特定类型的数据采集点，它是包含多张表的表集合，集合里每张表的模式（schema）完全一致，但每张表都带有自己的静态标签，标签可以有多个，可以随时增加、删除和修改。应用可通过指定标签的过滤条件，对一个 STable 下的全部或部分表进行聚合或统计操作，这样大大简化应用的开发。其具体流程如下图所示： -![多表聚合查询原理图](/img/architecture/multi_tables.png) +![多表聚合查询原理图](./multi_tables.png)
图 5 多表聚合查询原理图
diff --git a/docs-cn/21-tdinternal/dnode.png b/docs-cn/21-tdinternal/dnode.png new file mode 100644 index 0000000000000000000000000000000000000000..cea87dcccba5d2761996e5dde998022d86487eb9 Binary files /dev/null and b/docs-cn/21-tdinternal/dnode.png differ diff --git a/docs-cn/21-tdinternal/message.png b/docs-cn/21-tdinternal/message.png new file mode 100644 index 0000000000000000000000000000000000000000..715a8bd37ee9fe7e96eacce4e7ff563fedeefbee Binary files /dev/null and b/docs-cn/21-tdinternal/message.png differ diff --git a/docs-cn/21-tdinternal/modules.png b/docs-cn/21-tdinternal/modules.png new file mode 100644 index 0000000000000000000000000000000000000000..10ae4703a6cbbf66afea325ce4c0f919f7769a07 Binary files /dev/null and b/docs-cn/21-tdinternal/modules.png differ diff --git a/docs-cn/21-tdinternal/multi_tables.png b/docs-cn/21-tdinternal/multi_tables.png new file mode 100644 index 0000000000000000000000000000000000000000..0cefaab6a9a4cdd671c671f7c6186dea41415ff0 Binary files /dev/null and b/docs-cn/21-tdinternal/multi_tables.png differ diff --git a/docs-cn/21-tdinternal/replica-forward.png b/docs-cn/21-tdinternal/replica-forward.png new file mode 100644 index 0000000000000000000000000000000000000000..bf616e030b130603eceb5dccfd30b4a1dfa68ea5 Binary files /dev/null and b/docs-cn/21-tdinternal/replica-forward.png differ diff --git a/docs-cn/21-tdinternal/replica-master.png b/docs-cn/21-tdinternal/replica-master.png new file mode 100644 index 0000000000000000000000000000000000000000..cb33f1ce98661563693215d8fc73b003235c7668 Binary files /dev/null and b/docs-cn/21-tdinternal/replica-master.png differ diff --git a/docs-cn/21-tdinternal/replica-restore.png b/docs-cn/21-tdinternal/replica-restore.png new file mode 100644 index 0000000000000000000000000000000000000000..1558e5ed0108d23efdc6b5d9ea0e44a1dff45d28 Binary files /dev/null and b/docs-cn/21-tdinternal/replica-restore.png differ diff --git a/docs-cn/21-tdinternal/structure.png b/docs-cn/21-tdinternal/structure.png new file mode 100644 index 0000000000000000000000000000000000000000..4fc8f47ab0a30d95b85ba1d85105726ed981e56e Binary files /dev/null and b/docs-cn/21-tdinternal/structure.png differ diff --git a/docs-cn/21-tdinternal/vnode.png b/docs-cn/21-tdinternal/vnode.png new file mode 100644 index 0000000000000000000000000000000000000000..e6148d4907cf9a18bc52251f712d5c685651b7f5 Binary files /dev/null and b/docs-cn/21-tdinternal/vnode.png differ diff --git a/docs-cn/21-tdinternal/write_master.png b/docs-cn/21-tdinternal/write_master.png new file mode 100644 index 0000000000000000000000000000000000000000..ff2dfc20bfc2ecf956a2aab1a8965a7bbcae4387 Binary files /dev/null and b/docs-cn/21-tdinternal/write_master.png differ diff --git a/docs-cn/21-tdinternal/write_slave.png b/docs-cn/21-tdinternal/write_slave.png new file mode 100644 index 0000000000000000000000000000000000000000..cacb2cb6bcc4f4d934e979862387e1345bbac078 Binary files /dev/null and b/docs-cn/21-tdinternal/write_slave.png differ diff --git a/docs-cn/25-application/01-telegraf.md b/docs-cn/25-application/01-telegraf.md index f63a6701eed2b4c5b98f577d5b2867ae6dada387..447568cbbdae3bef6e227f696bd35c8e7a7a147f 100644 --- a/docs-cn/25-application/01-telegraf.md +++ b/docs-cn/25-application/01-telegraf.md @@ -16,7 +16,7 @@ IT 运维监测数据通常都是对时间特性比较敏感的数据，例如 本文介绍不需要写一行代码，通过简单修改几行配置文件，就可以快速搭建一个基于 TDengine + Telegraf + Grafana 的 IT 运维系统。架构如下图： -![IT-DevOps-Solutions-Telegraf.png](/img/IT-DevOps-Solutions-Telegraf.png) +![IT-DevOps-Solutions-Telegraf.png](./IT-DevOps-Solutions-Telegraf.png) ## 安装步骤 @@ -75,7 +75,7 @@ sudo systemctl start telegraf 点击左侧齿轮图标并选择 `Plugins`，应该可以找到 TDengine data source 插件图标。 点击左侧加号图标并选择 `Import`，从 `https://github.com/taosdata/grafanaplugin/blob/master/examples/telegraf/grafana/dashboards/telegraf-dashboard-v0.1.0.json` 下载 dashboard JSON 文件后导入。之后可以看到如下界面的仪表盘： -![IT-DevOps-Solutions-telegraf-dashboard.png](/img/IT-DevOps-Solutions-telegraf-dashboard.png) +![IT-DevOps-Solutions-telegraf-dashboard.png]./IT-DevOps-Solutions-telegraf-dashboard.png) ## 总结 diff --git a/docs-cn/25-application/02-collectd.md b/docs-cn/25-application/02-collectd.md index 5e6bc6577b2f4c8564e4533ced745d0b214ec748..920e2de3a56632370d4b8b90a773453475deca93 100644 --- a/docs-cn/25-application/02-collectd.md +++ b/docs-cn/25-application/02-collectd.md @@ -16,7 +16,7 @@ IT 运维监测数据通常都是对时间特性比较敏感的数据，例如 本文介绍不需要写一行代码，通过简单修改几行配置文件，就可以快速搭建一个基于 TDengine + collectd / statsD + Grafana 的 IT 运维系统。架构如下图： -![IT-DevOps-Solutions-Collectd-StatsD.png](/img/IT-DevOps-Solutions-Collectd-StatsD.png) +![IT-DevOps-Solutions-Collectd-StatsD.png](./IT-DevOps-Solutions-Collectd-StatsD.png) ## 安装步骤 @@ -81,12 +81,12 @@ repeater 部分添加 { host:'', port: