diff --git a/documentation20/cn/12.taos-sql/docs.md b/documentation20/cn/12.taos-sql/docs.md index ff6adad045ccb56675d8b20c9e956f87f278f9e2..aba8faa6771ad09a90b30b5bf3bb08664e8b6ca1 100644 --- a/documentation20/cn/12.taos-sql/docs.md +++ b/documentation20/cn/12.taos-sql/docs.md @@ -627,19 +627,21 @@ Query OK, 1 row(s) in set (0.001091s) ### 支持的条件过滤操作 -| Operation | Note | Applicable Data Types | -| --------- | ----------------------------- | ------------------------------------- | -| > | larger than | **`timestamp`** and all numeric types | -| < | smaller than | **`timestamp`** and all numeric types | -| >= | larger than or equal to | **`timestamp`** and all numeric types | -| <= | smaller than or equal to | **`timestamp`** and all numeric types | -| = | equal to | all types | -| <> | not equal to | all types | -| % | match with any char sequences | **`binary`** **`nchar`** | -| _ | match with a single char | **`binary`** **`nchar`** | +| Operation | Note | Applicable Data Types | +| ----------- | ----------------------------- | ------------------------------------- | +| > | larger than | **`timestamp`** and all numeric types | +| < | smaller than | **`timestamp`** and all numeric types | +| >= | larger than or equal to | **`timestamp`** and all numeric types | +| <= | smaller than or equal to | **`timestamp`** and all numeric types | +| = | equal to | all types | +| <> | not equal to | all types | +| between and | within a certain range | **`timestamp`** and all numeric types | +| % | match with any char sequences | **`binary`** **`nchar`** | +| _ | match with a single char | **`binary`** **`nchar`** | 1. 同时进行多个字段的范围过滤,需要使用关键词 AND 来连接不同的查询条件,暂不支持 OR 连接的不同列之间的查询过滤条件。 -2. 针对单一字段的过滤,如果是时间过滤条件,则一条语句中只支持设定一个;但针对其他的(普通)列或标签列,则可以使用``` OR``` 关键字进行组合条件的查询过滤。例如:((value > 20 and value < 30) OR (value < 12)) 。 +2. 针对单一字段的过滤,如果是时间过滤条件,则一条语句中只支持设定一个;但针对其他的(普通)列或标签列,则可以使用 `OR` 关键字进行组合条件的查询过滤。例如:((value > 20 AND value < 30) OR (value < 12)) 。 +3. 从 2.0.17 版本开始,条件过滤开始支持 BETWEEN AND 语法,例如 `WHERE col2 BETWEEN 1.5 AND 3.25` 表示查询条件为“1.5 ≤ col2 ≤ 3.25”。 ### SQL 示例