快速体验 TDengine
目标
- 掌握tdengine写入与查询
步骤
步骤 1: 连接到 TDengine
首先，确保 TDengine 容器正在运行。您可以使用以下命令连接到 TDengine 的命令行工具：
[root@master105 docker-tdengine]# docker exec -it 1e2331476ee2 taos
Welcome to the TDengine Command Line Interface, Client Version:3.3.2.0
Copyright (c) 2023 by TDengine, all rights reserved.********************************* Tab Completion ************************************** The TDengine CLI supports tab completion for a variety of items, ** including database names, table names, function names and keywords. ** The full list of shortcut keys is as follows: ** [ TAB ] ...... complete the current word ** ...... if used on a blank line, display all supported commands ** [ Ctrl + A ] ...... move cursor to the st[A]rt of the line ** [ Ctrl + E ] ...... move cursor to the [E]nd of the line ** [ Ctrl + W ] ...... move cursor to the middle of the line ** [ Ctrl + L ] ...... clear the entire screen ** [ Ctrl + K ] ...... clear the screen after the cursor ** [ Ctrl + U ] ...... clear the screen before the cursor *****************************************************************************************Server is TDengine Community Edition, ver:3.3.2.0 and will never expire.taos>步骤 2: 创建数据库和表
在 TDengine 的命令行工具中，执行以下 SQL 语句来创建数据库和表：
taos> CREATE DATABASE weather;
Create OK, 0 row(s) affected (0.477529s)taos> USE weather;
Database changed.taos>
taos> CREATE TABLE temperature (> ts TIMESTAMP,> location BINARY(20),> temperature FLOAT> );
Create OK, 0 row(s) affected (0.004864s)步骤 3: 插入数据
插入一些示例数据：
taos> INSERT INTO temperature VALUES ('2023-10-01 00:00:00', 'Beijing', 25.0);
Insert OK, 1 row(s) affected (0.001290s)taos> INSERT INTO temperature VALUES ('2023-10-01 01:00:00', 'Shanghai', 27.5);
Insert OK, 1 row(s) affected (0.000572s)taos> INSERT INTO temperature VALUES ('2023-10-01 02:00:00', 'Guangzhou', 30.0);
Insert OK, 1 row(s) affected (0.000722s)taos> INSERT INTO temperature VALUES ('2023-10-01 03:00:00', 'Beijing', 24.5);
Insert OK, 1 row(s) affected (0.002174s)步骤 4: 查询数据
查询刚刚插入的数据：
taos> SELECT * FROM temperature;ts | location | temperature |
==========================================================================2023-10-01 00:00:00.000 | Beijing | 25.0000000 |2023-10-01 01:00:00.000 | Shanghai | 27.5000000 |2023-10-01 02:00:00.000 | Guangzhou | 30.0000000 |2023-10-01 03:00:00.000 | Beijing | 24.5000000 |
Query OK, 4 row(s) in set (0.005201s)感谢阅读！如果你喜欢这篇文章，不妨分享给你的朋友。想要获取更多技术资讯，可以关注我们的微信号：aldrichsea。我们在那里等你，一起探索技术的无限可能。
