Merge branch 'docs-cloud' into docs/sangshuduo/cloud-doc-restapi

docs/en/07-data-in/05-rest-schemaless.md

+---
+sidebar_label: REST and Schemaless
+title: REST and Schemaless
+description: Insert data using REST API or Schemaless
+---
+
+<!-- exclude -->
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+<!-- exclude-end -->
+
+In this section we will explain how to write into TDengine cloud service using REST API or schemaless protocols over REST interface.
+
+## 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>
+
+### Insert Data using REST API
+
+Following command below show how to insert data into the table `d1001` of the database `test` via the command line utility `curl`.
+
+```bash
+curl -L \
+  -d "INSERT INTO d1001 VALUES (1538548685000, 10.3, 219, 0.31)" \
+  $TDENGINE_CLOUD_URL/rest/sql/test?token=$TDENGINE_CLOUD_TOKEN
+```
+
+## Schemaless
+
+### InfluxDB Line Protocol
+
+You can use any client that supports the http protocol to access the RESTful interface address `<cloud_url>/influxdb/v1/write` to write data in InfluxDB compatible format to TDengine. The EndPoint is as follows:
+
+```text
+/influxdb/v1/write?db=<db_name>&token=<cloud_token>
+```
+
+Support InfluxDB query parameters as follows.
+
+- `db` Specifies the database name used by TDengine
+- `precision` The time precision used by TDengine
+
+Note: InfluxDB token authorization is not supported at present. Only Basic authorization and query parameter validation are supported.
+
+### OpenTSDB Json and Telnet Protocol
+
+You can use any client that supports the http protocol to access the RESTful interface address `<cloud_url>/opentsdb/v1/put` to write data in OpenTSDB compatible format to TDengine. The EndPoint is as follows:
+
+```text
+/opentsdb/v1/put/json/<db>?token=<cloud_token>
+/opentsdb/v1/put/telnet/<db>?token=<cloud_token>
+```

docs/en/15-programming/01-connect/01-python.md

@@ -76,7 +76,7 @@ To obtain the value of cloud token and URL, please log in [TDengine Cloud](https
 
 ## Connect
 
-Copy code bellow to your editor and run it.
+Copy code bellow to your editor and run it. If you are using jupyter, assuming you have followed the guide about Jupyter in previous secions, you can copy the code into Jupyter editor in your browser.
 
 ```python
 {{#include docs/examples/python/develop_tutorial.py:connect}}
@@ -84,4 +84,34 @@ Copy code bellow to your editor and run it.
 
 For how to write data and query data, please refer to <https://docs.tdengine.com/cloud/data-in/insert-data/> and <https://docs.tdengine.com/cloud/data-out/query-data/>.
 
-For more details about how to write or query data via REST API, please check [REST API](https://docs.tdengine.com/cloud/programming/connector/rest-api/).
+For more details about how to write or query data via REST API, please check [REST API](https://docs.tdengine.com/cloud/programming/connector/rest-api/).
\ No newline at end of file
+
+## Jupyter
+
+**Step 1: Install**
+
+For the users who are familiar with Jupyter to program in Python, both TDengine Python connector and Jupyter need to be ready in your environment. If you have not done yet, please use below commands to install them.
+
+```bash
+pip install jupyterlab
+pip install notebook
+pip3 install -U taospy
+```
+
+**Step 2: Configure**
+
+In order for Jupyter to connect to TDengine cloud service, before launching Jupypter, the environment setting must be performed. We use Linux bash as example.
+
+```bash
+export TDENGINE_CLOUD_TOKEN="<token>"
+export TDENGINE_CLOUD_URL="<url>"
+jupyter notebook
+```
+
+**Step 3: Connect**
+
+Once jupyter notebook is launched, Jupyter notebook service is automatically connected and shown in your browser. You can create a new Python file and copy the sample code below and run it.
+
+```python
+{{#include docs/examples/python/develop_tutorial.py:connect}}
+```
\ No newline at end of file