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docs: add rest api to cloud doc (#16390)

* docs: add rest api to cloud doc

* docs: fix syntax and wording
上级 272dba16
---
sidebar_label: REST API
title: REST API
---
## Config
Run this command in your terminal to save the TDengine cloud token and URL as variables:
<Tabs defaultValue="bash">
<TabItem value="bash" label="Bash">
```bash
export TDENGINE_CLOUD_TOKEN="<token>"
export TDENGINE_CLOUD_URL="<url>"
```
</TabItem>
<TabItem value="cmd" label="CMD">
```bash
set TDENGINE_CLOUD_TOKEN="<token>"
set TDENGINE_CLOUD_URL="<url>"
```
</TabItem>
<TabItem value="powershell" label="Powershell">
```powershell
$env:TDENGINE_CLOUD_TOKEN="<token>"
$env:TDENGINE_CLOUD_URL="<url>"
```
</TabItem>
</Tabs>
## Connect
Please copy the code below to your editor and run it.
```bash
curl -L \
-d "select name, ntables, status from information_schema.ins_databases;" \
$TDENGINE_CLOUD_URL/rest/sql?token=$TDENGINE_CLOUD_TOKEN
```
---
sidebar_label: REST API
title: REST API
---
To support the development of various types of applications and platforms, TDengine provides an API that conforms to REST principles; namely REST API. To minimize the learning cost, unlike REST APIs for other database engines, TDengine allows insertion of SQL commands in the BODY of an HTTP POST request, to operate the database.
:::note
One difference from the native connector is that the REST interface is stateless and so the `USE db_name` command has no effect. All references to table names and super table names need to specify the database name in the prefix. TDengine supports specification of the db_name in RESTful URL. If the database name prefix is not specified in the SQL command, the `db_name` specified in the URL will be used.
:::
## Installation
The REST interface does not rely on any TDengine native library, so the client application does not need to install any TDengine libraries. The client application's development language only needs to support the HTTP protocol.
## Verification
To verify accessing the TDengine Cloud service, it can be as follows:
The following example is in an Ubuntu environment and uses the `curl` tool to verify that the REST interface is working. Note that the `curl` tool may need to be installed in your environment.
The following example lists all databases on the `TDengine Cloud URL` host. If you are accessing TDengine Cloud, you need to use the given token.
```bash
curl -L \
-d "select name, ntables, status from information_schema.ins_databases;" \
<TDengine Service URL>/rest/sql?token=<TDengine Cloud Token>
```
The following return value results indicate that the verification passed.
```json
{
"code": 0,
"column_meta": [
[
"name",
"VARCHAR",
64
],
[
"ntables",
"BIGINT",
8
],
[
"status",
"VARCHAR",
10
]
],
"data": [
[
"information_schema",
16,
"ready"
],
[
"performance_schema",
9,
"ready"
]
],
"rows": 2
}
```
## HTTP request URL format
```text
http://<TDENGINE_CLOUD_URL>/rest/sql/[db_name]?token=TDENGINE_CLOUD_TOKEN
```
Parameter Description:
- TDENGINE_CLOUD_URL: TDengine cloud service's address.
- db_name: Optional parameter specifies the default database name for the executed SQL command.
- token: used to access TDengine cloud service.
For example, `http://gw-aws.cloud.tdengine.com:80/rest/sql/test?token=xxxxxxxxx` is a URL to `gw-aws.cloud.tdengine:80` and sets the default database name to `test`.
The HTTP request's BODY is a complete SQL command, and the data table in the SQL statement should be provided with a database prefix, e.g., `db_name.tb_name`. If the table name does not have a database prefix and the database name is not specified in the URL, the system will respond with an error because the HTTP module is a simple forwarder and has no awareness of the current DB.
Use `curl` to initiate an HTTP request with a custom authentication method, with the following syntax.
```bash
curl -L -d "<SQL>" <TDENGINE_CLOUD_URL>/rest/sql/[db_name]?token=TDENGINE_CLOUD_TOKEN
```
## HTTP Return Format
### HTTP Response Code
| **Response Code** | **Description** |
|-------------------|----------------|
| 200 | Success. (Also used for C interface errors.) |
| 400 | Parameter error |
| 401 | Authentication failure |
| 404 | Interface not found |
| 500 | Internal error |
| 503 | Insufficient system resources |
### HTTP body structure
#### Successful Operation
Example:
```json
{
"code": 0,
"column_meta": [["affected_rows", "INT", 4]],
"data": [[0]],
"rows": 1
}
```
Description:
- code: (`int`) 0 indicates success.
- column_meta: (`[1][3]any`) Only returns `[["affected_rows", "INT", 4]]`.
- rows: (`int`) Only returns `1`.
- data: (`[][]any`) Returns the number of rows affected.
#### Successful Query
Example:
```json
{
"code": 0,
"column_meta": [
["ts", "TIMESTAMP", 8],
["count", "BIGINT", 8],
["endpoint", "VARCHAR", 45],
["status_code", "INT", 4],
["client_ip", "VARCHAR", 40],
["request_method", "VARCHAR", 15],
["request_uri", "VARCHAR", 128]
],
"data": [
[
"2022-06-29T05:50:55.401Z",
2,
"LAPTOP-NNKFTLTG:6041",
200,
"172.23.208.1",
"POST",
"/rest/sql"
],
[
"2022-06-29T05:52:16.603Z",
1,
"LAPTOP-NNKFTLTG:6041",
200,
"172.23.208.1",
"POST",
"/rest/sql"
],
[
"2022-06-29T06:28:14.118Z",
1,
"LAPTOP-NNKFTLTG:6041",
200,
"172.23.208.1",
"POST",
"/rest/sql"
],
[
"2022-06-29T05:52:16.603Z",
2,
"LAPTOP-NNKFTLTG:6041",
401,
"172.23.208.1",
"POST",
"/rest/sql"
]
],
"rows": 4
}
```
Description:
- code: `int` 0 indicates success.
- column_meta: (`[][3]any`) Column information. Each column is described with three values: column name (string), column type (string), and type length (int).
- rows: (`int`) The number of rows returned.
- data: (`[][]any`)
The following types may be returned:
- "NULL"
- "BOOL"
- "TINYINT"
- "SMALLINT"
- "INT"
- "BIGINT"
- "FLOAT"
- "DOUBLE"
- "VARCHAR"
- "TIMESTAMP"
- "NCHAR"
- "TINYINT UNSIGNED"
- "SMALLINT UNSIGNED"
- "INT UNSIGNED"
- "BIGINT UNSIGNED"
- "JSON"
#### Errors
Example:
```json
{
"code": 9728,
"desc": "syntax error near \"1\""
}
```
Description:
- code: (`int`) Error code.
- desc: (`string`): Error code description.
## Usage examples
- query all records from table d1001 of the database demo
```bash
export TDENGINE_CLOUD_URL=https://gw-aws.cloud.tdengine.com:80
export TDENGINE_CLOUD_TOKEN=<actual token string>
curl -L -d "select * from demo.d1001" $TDENGINE_CLOUD_URL/rest/sql?token=$TDENGINE_CLOUD_TOKEN
```
Response body:
```json
{
"code": 0,
"column_meta": [
[
"ts",
"TIMESTAMP",
8
],
[
"current",
"FLOAT",
4
],
[
"voltage",
"INT",
4
],
[
"phase",
"FLOAT",
4
]
],
"data": [
[
"2022-07-30T06:44:40.32Z",
10.3,
219,
0.31
],
[
"2022-07-30T06:44:41.32Z",
12.6,
218,
0.33
]
],
"rows": 2
}
```
- Create database demo:
```bash
curl -L -d "create database demo" $TDENGINE_CLOUD_URL/rest/sql?token=$TDENGINE_CLOUD_TOKEN
```
Response body:
```json
{
"code": 0,
"column_meta": [
[
"affected_rows",
"INT",
4
]
],
"data": [
[
0
]
],
"rows": 1
}
```
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