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# WHERE 子句
## 1. 语法概览
```sql
WHERE booleanExpression
```
__WHERE 子句__:用于在 SQL 查询中指定筛选条件,WHERE 子句在 FROM 子句之后立即执行。
## 2. 示例数据
在[示例数据页面](../Reference/Sample-Data.md)中,包含了用于构建表结构和插入数据的SQL语句,下载并在IoTDB CLI中执行这些语句,即可将数据导入IoTDB,您可以使用这些数据来测试和执行示例中的SQL语句,并获得相应的结果。
#### 示例1:选择特定 ID 的行
```sql
SELECT * FROM table1 WHERE plant_id = '1001';
```
执行结果如下:
```sql
+-----------------------------+------+--------+---------+--------+-----------+-----------+--------+------+-----------------------------+
| time|region|plant_id|device_id|model_id|maintenance|temperature|humidity|status| modifytime|
+-----------------------------+------+--------+---------+--------+-----------+-----------+--------+------+-----------------------------+
|2024-11-26T13:37:00.000+08:00| 北京| 1001| 100| A| 180| 90.0| 35.1| true|2024-11-26T13:37:34.000+08:00|
|2024-11-26T13:38:00.000+08:00| 北京| 1001| 100| A| 180| 90.0| 35.1| true|2024-11-26T13:38:25.000+08:00|
|2024-11-27T16:38:00.000+08:00| 北京| 1001| 101| B| 180| null| 35.1| true|2024-11-26T16:37:01.000+08:00|
|2024-11-27T16:39:00.000+08:00| 北京| 1001| 101| B| 180| 85.0| 35.3| null| null|
|2024-11-27T16:40:00.000+08:00| 北京| 1001| 101| B| 180| 85.0| null| null|2024-11-26T16:37:03.000+08:00|
|2024-11-27T16:41:00.000+08:00| 北京| 1001| 101| B| 180| 85.0| null| null|2024-11-26T16:37:04.000+08:00|
|2024-11-27T16:42:00.000+08:00| 北京| 1001| 101| B| 180| null| 35.2| false| null|
|2024-11-27T16:43:00.000+08:00| 北京| 1001| 101| B| 180| null| null| false| null|
|2024-11-27T16:44:00.000+08:00| 北京| 1001| 101| B| 180| null| null| false|2024-11-26T16:37:08.000+08:00|
+-----------------------------+------+--------+---------+--------+-----------+-----------+--------+------+-----------------------------+
Total line number = 9
It costs 0.091s
```
#### 示例2:选择使用 LIKE 表达式匹配
```sql
SELECT * FROM table1 WHERE plant_id LIKE '300%';
```
执行结果如下:
```sql
+-----------------------------+------+--------+---------+--------+-----------+-----------+--------+------+-----------------------------+
| time|region|plant_id|device_id|model_id|maintenance|temperature|humidity|status| modifytime|
+-----------------------------+------+--------+---------+--------+-----------+-----------+--------+------+-----------------------------+
|2024-11-29T11:00:00.000+08:00| 上海| 3002| 100| E| 180| null| 45.1| true| null|
|2024-11-29T18:30:00.000+08:00| 上海| 3002| 100| E| 180| 90.0| 35.4| true|2024-11-29T18:30:15.000+08:00|
|2024-11-28T08:00:00.000+08:00| 上海| 3001| 100| C| 90| 85.0| null| null|2024-11-28T08:00:09.000+08:00|
|2024-11-28T09:00:00.000+08:00| 上海| 3001| 100| C| 90| null| 40.9| true| null|
|2024-11-28T10:00:00.000+08:00| 上海| 3001| 100| C| 90| 85.0| 35.2| null|2024-11-28T10:00:11.000+08:00|
|2024-11-28T11:00:00.000+08:00| 上海| 3001| 100| C| 90| 88.0| 45.1| true|2024-11-28T11:00:12.000+08:00|
|2024-11-30T09:30:00.000+08:00| 上海| 3002| 101| F| 360| 90.0| 35.2| true| null|
|2024-11-30T14:30:00.000+08:00| 上海| 3002| 101| F| 360| 90.0| 34.8| true|2024-11-30T14:30:17.000+08:00|
|2024-11-29T10:00:00.000+08:00| 上海| 3001| 101| D| 360| 85.0| null| null|2024-11-29T10:00:13.000+08:00|
+-----------------------------+------+--------+---------+--------+-----------+-----------+--------+------+-----------------------------+
Total line number = 9
It costs 0.261s
```
#### 示例3:选择使用复合表达式筛选
```sql
SELECT * FROM table1 WHERE time >= 2024-11-28 00:00:00 and (plant_id = '3001' OR plant_id = '3002');
```
执行结果如下:
```sql
+-----------------------------+------+--------+---------+--------+-----------+-----------+--------+------+-----------------------------+
| time|region|plant_id|device_id|model_id|maintenance|temperature|humidity|status| modifytime|
+-----------------------------+------+--------+---------+--------+-----------+-----------+--------+------+-----------------------------+
|2024-11-26T13:37:00.000+08:00| 北京| 1001| 100| A| 180| 90.0| 35.1| true|2024-11-26T13:37:34.000+08:00|
|2024-11-26T13:38:00.000+08:00| 北京| 1001| 100| A| 180| 90.0| 35.1| true|2024-11-26T13:38:25.000+08:00|
|2024-11-27T16:38:00.000+08:00| 北京| 1001| 101| B| 180| null| 35.1| true|2024-11-26T16:37:01.000+08:00|
|2024-11-27T16:39:00.000+08:00| 北京| 1001| 101| B| 180| 85.0| 35.3| null| null|
|2024-11-27T16:40:00.000+08:00| 北京| 1001| 101| B| 180| 85.0| null| null|2024-11-26T16:37:03.000+08:00|
|2024-11-27T16:41:00.000+08:00| 北京| 1001| 101| B| 180| 85.0| null| null|2024-11-26T16:37:04.000+08:00|
|2024-11-27T16:42:00.000+08:00| 北京| 1001| 101| B| 180| null| 35.2| false| null|
|2024-11-27T16:43:00.000+08:00| 北京| 1001| 101| B| 180| null| null| false| null|
|2024-11-27T16:44:00.000+08:00| 北京| 1001| 101| B| 180| null| null| false|2024-11-26T16:37:08.000+08:00|
+-----------------------------+------+--------+---------+--------+-----------+-----------+--------+------+-----------------------------+
Total line number = 9
It costs 0.091s
```