INT32, INT64, FLOAT, DOUBLE。DOUBLE类型后进行比较。==和!=可以直接比较两个BOOLEAN。BOOLEAN。| 运算符 | 含义 |
|---|---|
> | 大于 |
>= | 大于等于 |
< | 小于 |
<= | 小于等于 |
== | 等于 |
!= / <> | 不等于 |
示例:
select a, b, a > 10, a <= b, !(a <= b), a > 10 && a > b from root.test;
运行结果
IoTDB> select a, b, a > 10, a <= b, !(a <= b), a > 10 && a > b from root.test; +-----------------------------+-----------+-----------+----------------+--------------------------+---------------------------+------------------------------------------------+ | Time|root.test.a|root.test.b|root.test.a > 10|root.test.a <= root.test.b|!root.test.a <= root.test.b|(root.test.a > 10) & (root.test.a > root.test.b)| +-----------------------------+-----------+-----------+----------------+--------------------------+---------------------------+------------------------------------------------+ |1970-01-01T08:00:00.001+08:00| 23| 10.0| true| false| true| true| |1970-01-01T08:00:00.002+08:00| 33| 21.0| true| false| true| true| |1970-01-01T08:00:00.004+08:00| 13| 15.0| true| true| false| false| |1970-01-01T08:00:00.005+08:00| 26| 0.0| true| false| true| true| |1970-01-01T08:00:00.008+08:00| 1| 22.0| false| true| false| false| |1970-01-01T08:00:00.010+08:00| 23| 12.0| true| false| true| true| +-----------------------------+-----------+-----------+----------------+--------------------------+---------------------------+------------------------------------------------+
BETWEEN ... AND ... 运算符| 运算符 | 含义 |
|---|---|
BETWEEN ... AND ... | 在指定范围内 |
NOT BETWEEN ... AND ... | 不在指定范围内 |
示例: 选择区间 [36.5,40] 内或之外的数据:
select temperature from root.sg1.d1 where temperature between 36.5 and 40;
select temperature from root.sg1.d1 where temperature not between 36.5 and 40;
对于 TEXT 类型的数据,支持使用 Like 和 Regexp 运算符对数据进行模糊匹配
| 运算符 | 含义 |
|---|---|
LIKE | 匹配简单模式 |
NOT LIKE | 无法匹配简单模式 |
REGEXP | 匹配正则表达式 |
NOT REGEXP | 无法匹配正则表达式 |
输入数据类型:TEXT
返回类型:BOOLEAN
Like 进行模糊匹配匹配规则:
% 表示任意0个或多个字符。_ 表示任意单个字符。示例 1: 查询 root.sg.d1 下 value 含有'cc'的数据。
IoTDB> select * from root.sg.d1 where value like '%cc%' +-----------------------------+----------------+ | Time|root.sg.d1.value| +-----------------------------+----------------+ |2017-11-01T00:00:00.000+08:00| aabbccdd| |2017-11-01T00:00:01.000+08:00| cc| +-----------------------------+----------------+ Total line number = 2 It costs 0.002s
示例 2: 查询 root.sg.d1 下 value 中间为 'b'、前后为任意单个字符的数据。
IoTDB> select * from root.sg.device where value like '_b_' +-----------------------------+----------------+ | Time|root.sg.d1.value| +-----------------------------+----------------+ |2017-11-01T00:00:02.000+08:00| abc| +-----------------------------+----------------+ Total line number = 1 It costs 0.002s
Regexp 进行模糊匹配需要传入的过滤条件为 Java 标准库风格的正则表达式。
常见的正则匹配举例:
长度为3-20的所有字符:^.{3,20}$
大写英文字符:^[A-Z]+$
数字和英文字符:^[A-Za-z0-9]+$
以a开头的:^a.*
示例 1: 查询 root.sg.d1 下 value 值为26个英文字符组成的字符串。
IoTDB> select * from root.sg.d1 where value regexp '^[A-Za-z]+$' +-----------------------------+----------------+ | Time|root.sg.d1.value| +-----------------------------+----------------+ |2017-11-01T00:00:00.000+08:00| aabbccdd| |2017-11-01T00:00:01.000+08:00| cc| +-----------------------------+----------------+ Total line number = 2 It costs 0.002s
示例 2: 查询 root.sg.d1 下 value 值为26个小写英文字符组成的字符串且时间大于100的。
IoTDB> select * from root.sg.d1 where value regexp '^[a-z]+$' and time > 100 +-----------------------------+----------------+ | Time|root.sg.d1.value| +-----------------------------+----------------+ |2017-11-01T00:00:00.000+08:00| aabbccdd| |2017-11-01T00:00:01.000+08:00| cc| +-----------------------------+----------------+ Total line number = 2 It costs 0.002s
示例 3:
select b, b like '1%', b regexp '[0-2]' from root.test;
运行结果
+-----------------------------+-----------+-------------------------+--------------------------+ | Time|root.test.b|root.test.b LIKE '^1.*?$'|root.test.b REGEXP '[0-2]'| +-----------------------------+-----------+-------------------------+--------------------------+ |1970-01-01T08:00:00.001+08:00| 111test111| true| true| |1970-01-01T08:00:00.003+08:00| 333test333| false| false| +-----------------------------+-----------+-------------------------+--------------------------+
IS NULL 运算符| 运算符 | 含义 |
|---|---|
IS NULL | 是空值 |
IS NOT NULL | 不是空值 |
示例 1: 选择值为空的数据:
select code from root.sg1.d1 where temperature is null;
示例 2: 选择值为非空的数据:
select code from root.sg1.d1 where temperature is not null;
IN 运算符| 运算符 | 含义 |
|---|---|
IN / CONTAINS | 是指定列表中的值 |
NOT IN / NOT CONTAINS | 不是指定列表中的值 |
输入数据类型:All Types
返回类型 BOOLEAN
注意:请确保集合中的值可以被转为输入数据的类型。
例如:
s1 in (1, 2, 3, 'test'),s1的数据类型是INT32我们将会抛出异常,因为
'test'不能被转为INT32类型
示例 1: 选择值在特定范围内的数据:
select code from root.sg1.d1 where code in ('200', '300', '400', '500');
示例 2: 选择值在特定范围外的数据:
select code from root.sg1.d1 where code not in ('200', '300', '400', '500');
示例 3:
select a, a in (1, 2) from root.test;
输出2:
+-----------------------------+-----------+--------------------+ | Time|root.test.a|root.test.a IN (1,2)| +-----------------------------+-----------+--------------------+ |1970-01-01T08:00:00.001+08:00| 1| true| |1970-01-01T08:00:00.003+08:00| 3| false| +-----------------------------+-----------+--------------------+
条件函数针对每个数据点进行条件判断,返回布尔值。
| 函数名 | 可接收的输入序列类型 | 必要的属性参数 | 输出序列类型 | 功能类型 |
|---|---|---|---|---|
| ON_OFF | INT32 / INT64 / FLOAT / DOUBLE | threshold:DOUBLE类型 | BOOLEAN 类型 | 返回ts_value >= threshold的bool值 |
| IN_RANGE | INT32 / INT64 / FLOAT / DOUBLE | lower:DOUBLE类型upper:DOUBLE类型 | BOOLEAN类型 | 返回ts_value >= lower && ts_value <= upper的bool值 |
测试数据:
IoTDB> select ts from root.test; +-----------------------------+------------+ | Time|root.test.ts| +-----------------------------+------------+ |1970-01-01T08:00:00.001+08:00| 1| |1970-01-01T08:00:00.002+08:00| 2| |1970-01-01T08:00:00.003+08:00| 3| |1970-01-01T08:00:00.004+08:00| 4| +-----------------------------+------------+
示例 1:
SQL语句:
select ts, on_off(ts, 'threshold'='2') from root.test;
输出:
IoTDB> select ts, on_off(ts, 'threshold'='2') from root.test; +-----------------------------+------------+-------------------------------------+ | Time|root.test.ts|on_off(root.test.ts, "threshold"="2")| +-----------------------------+------------+-------------------------------------+ |1970-01-01T08:00:00.001+08:00| 1| false| |1970-01-01T08:00:00.002+08:00| 2| true| |1970-01-01T08:00:00.003+08:00| 3| true| |1970-01-01T08:00:00.004+08:00| 4| true| +-----------------------------+------------+-------------------------------------+
示例 2:
Sql语句:
select ts, in_range(ts, 'lower'='2', 'upper'='3.1') from root.test;
输出:
IoTDB> select ts, in_range(ts, 'lower'='2', 'upper'='3.1') from root.test; +-----------------------------+------------+--------------------------------------------------+ | Time|root.test.ts|in_range(root.test.ts, "lower"="2", "upper"="3.1")| +-----------------------------+------------+--------------------------------------------------+ |1970-01-01T08:00:00.001+08:00| 1| false| |1970-01-01T08:00:00.002+08:00| 2| true| |1970-01-01T08:00:00.003+08:00| 3| true| |1970-01-01T08:00:00.004+08:00| 4| false| +-----------------------------+------------+--------------------------------------------------+