docs: fix error links

docs/getting-started/overview.md

@@ -5,7 +5,7 @@ Begin to explore GreptimeDB's powerful core features.
 ## Install GreptimeDB
 You can try out GreptimeDB with our test builds released on [Download page](https://greptime.com/download).
 
-We use the simplest configuration for you to get started. For a comprehensive list of configurations available in GreptimeDB, see the [configuration documentation](/user-guide/operations/configuration.md).
+We use the simplest configuration for you to get started. For a comprehensive list of configurations available in GreptimeDB, see the [configuration documentation](../user-guide/operations/configuration.md).
 
 ### Linux & Mac
 
@@ -24,7 +24,7 @@ You can run GreptimeDB in the standalone mode:
 ```
 
 ### Docker
-Make sure the [Docker](https://www.docker.com/) is already installed. If not, you can follow the official [documents](https://www.docker.com/getting-started/) to install Docker.
+Make sure the [Docker](https://www.docker.com/) is already installed. If not, you can follow the official [documents](https://www.docker.com/get-started/) to install Docker.
 
 ```shell
 docker run -p 4000-4004:4000-4004 \
@@ -69,15 +69,15 @@ You can:
 
 ## Connect
 
-GreptimeDB supports [multiple protocols](/user-guide/clients/overview.md). We use MySQL client here for simplicity.
+GreptimeDB supports [multiple protocols](../user-guide/clients/overview.md). We use MySQL client here for simplicity.
 
 ```sql
 mysql -h 127.0.0.1 -P 4002
 ```
 
 ## Create table
 
-**Note: GreptimeDB offers a schemaless approach to writing data that eliminates the need to manually create tables using additional protocols. See [Automatic Schema Generation](/user-guide/write-data/overview.md#automatic-schema-generation).**
+**Note: GreptimeDB offers a schemaless approach to writing data that eliminates the need to manually create tables using additional protocols. See [Automatic Schema Generation](../user-guide/write-data/overview.md#automatic-schema-generation).**
 
 Now we create a table via MySQL. Let's start by creating the `system_metrics` table which contains system resource metrics, including CPU/memory/disk usage. The data is scraped every 5 seconds.
 
@@ -105,9 +105,9 @@ Field descriptions:
 | disk\_util   | double    | The percent use of disks               |
 | ts           | timestamp | Timestamp column incrementing          |
 
-* The table can be created automatically if you are using other protocols. See [Create Table](/user-guide/table-management#create-table).
-* For more information about creating table SQL, please refer to [CREATE](/reference/sql/create.md).
-* For data types, please check [data types](/reference/data-types.md).
+* The table can be created automatically if you are using other protocols. See [Create Table](../user-guide/table-management#create-table).
+* For more information about creating table SQL, please refer to [CREATE](../reference/sql/create.md).
+* For data types, please check [data types](../reference/data-types.md).
 
 ## Insert data
 
@@ -127,7 +127,7 @@ VALUES
     ("host1", "idc_b", 90.0, 39.9, 60.6, 1667446798250);
 ```
 
-For more information about the `INSERT` statement, please refer to [INSERT](/reference/sql/insert.md).
+For more information about the `INSERT` statement, please refer to [INSERT](../reference/sql/insert.md).
 
 ## Query data
 
@@ -201,15 +201,15 @@ SELECT idc, avg(memory_util) FROM system_metrics GROUP BY idc;
 2 rows in set (0.03 sec)
 ```
 
-For more information about the `SELECT` statement, please refer to [SELECT](/reference/sql/select.md).
+For more information about the `SELECT` statement, please refer to [SELECT](../reference/sql/select.md).
 
 ## Visualize data
 
 Visualization plays a crucial role in effectively utilizing time series data. To help users leverage the various features of GreptimeDB, Greptime offers a simple [dashboard](https://github.com/GreptimeTeam/dashboard).
 
 The Dashboard is embedded into GreptimeDB's binary since GreptimeDB v0.2.0. After [starting GreptimeDB](#install-greptimedb), the dashboard can be visited via HTTP endpoint `http://localhost:4000/dashboard`. The current version of the dashboard supports MySQL and Python queries, with support for PromQL coming soon.
 
-Write SQL into the command text, then click `Run All`. We'll got all data in system_metrics table.
+Write SQL into the command text, then click `Run All`. We'll get all data in the system_metrics table.
 
 ```
 SELECT * FROM system_metrics;
@@ -229,11 +229,11 @@ We are committed to the ongoing development and iteration of this open source pr
 
 Congratulations you have learned the basic features of GreptimeDB. You are ready for the User Guide chapter.
 
-* [Concepts](/user-guide/concepts/overview.md)
-* [Clients](/user-guide/clients/overview.md)
-* [Table management](/user-guide/table-management.md)
-* [Write data](/user-guide/write-data/overview.md)
-* [Query data](/user-guide/query-data/overview.md)
-* [Scripts-&-functions](/user-guide/scripts-&-functions/overview.md)
-* [Cluster](/user-guide/cluster.md)
-* [Operations](/user-guide/operations/overview.md)
+* [Concepts](../user-guide/concepts/overview.md)
+* [Clients](../user-guide/clients/overview.md)
+* [Table management](../user-guide/table-management.md)
+* [Write data](../user-guide/write-data/overview.md)
+* [Query data](../user-guide/query-data/overview.md)
+* [Scripts-&-functions](../user-guide/scripts-&-functions/overview.md)
+* [Cluster](../user-guide/cluster.md)
+* [Operations](../user-guide/operations/overview.md)

docs/zh/getting-started/overview.md

@@ -6,7 +6,7 @@
 
 用户可以在[下载页面](https://greptime.cn/download)通过我们发布的测试版本尝试使用 GreptimeDB。
 
-我们先通过最简单的配置来开始。有关 GreptimeDB 中可用的所有配置选项的详细列表，请参考[配置文档](/user-guide/operations/configuration.md)。
+我们先通过最简单的配置来开始。有关 GreptimeDB 中可用的所有配置选项的详细列表，请参考[配置文档](../user-guide/operations/configuration.md)。
 
 ### Linux & Mac
 
@@ -26,7 +26,7 @@ curl -L https://raw.githubusercontent.com/GreptimeTeam/greptimedb/develop/script
 
 ### Docker
 
-请确保已经安装了 [Docker](https://www.docker.com/)。如果还没有安装，可以参考 Docker 官方的[文档](https://www.docker.com/getting-started/)进行安装。
+请确保已经安装了 [Docker](https://www.docker.com/)。如果还没有安装，可以参考 Docker 官方的[文档](https://www.docker.com/get-started/)进行安装。
 
 ```shell
 docker run -p 4000-4004:4000-4004 \
@@ -70,15 +70,15 @@ greptime/greptimedb standalone start \
 
 ## 连接
 
-GreptimeDB 支持[多种协议](/user-guide/clients/overview.md)。这里使用 MySQL 客户端示例。
+GreptimeDB 支持[多种协议](../user-guide/clients/overview.md)。这里使用 MySQL 客户端示例。
 
 ```sql
 mysql -h 127.0.0.1 -P 4002
 ```
 
 ## 建表
 
-**注意: GreptimeDB 提供了一种 schemaless 的数据写入方法，不用像使用其他协议那样手动创建表。详情请参见 [自动生成表结构](/user-guide/write-data/overview.md#自动生成表结构)。**
+**注意: GreptimeDB 提供了一种 schemaless 的数据写入方法，不用像使用其他协议那样手动创建表。详情请参见 [自动生成表结构](../user-guide/write-data/overview.md#自动生成表结构)。**
 
 现在我们通过 MySQL 创建一个表。先创建 `system_metrics` 表，其中包含系统资源指标，包括 CPU /内存/磁盘的使用，这些数据每 5 秒就会被抓取一次。
 
@@ -106,9 +106,9 @@ Field 描述:
 | disk_util   | double    | The percent use of disks               |
 | ts          | timestamp | Timestamp column incrementing          |
 
-- 如果用户使用其他协议，该表可以自动创建。请参考 [Create Table](/user-guide/table-management#creat-table)。
-- 关于创建表的 SQL 信息，请参考 [CREATE](/reference/sql/create.md)。
-- 关于数据类型，请参考[数据类型](/reference/data-types.md)。
+- 如果用户使用其他协议，该表可以自动创建。请参考 [Create Table](../user-guide/table-management#creat-table)。
+- 关于创建表的 SQL 信息，请参考 [CREATE](../reference/sql/create.md)。
+- 关于数据类型，请参考[数据类型](../reference/data-types.md)。
 
 ## 数据写入
 
@@ -128,7 +128,7 @@ VALUES
     ("host1", "idc_b", 90.0, 39.9, 60.6, 1667446798250);
 ```
 
-关于 `INSERT` 语句的更多信息，请参考 [INSERT](/reference/sql/insert.md)。
+关于 `INSERT` 语句的更多信息，请参考 [INSERT](../reference/sql/insert.md)。
 
 ## 数据查询
 
@@ -203,7 +203,7 @@ SELECT idc, avg(memory_util) FROM system_metrics GROUP BY idc;
 2 rows in set (0.03 sec)
 ```
 
-关于 `SELECT` 语句的更多信息，请查看 [SELECT](/reference/sql/select.md) 文件。
+关于 `SELECT` 语句的更多信息，请查看 [SELECT](../reference/sql/select.md) 文件。
 
 ## Visualize data