diff --git a/src/UserGuide/Master/Table/SQL-Manual/Featured-Functions.md b/src/UserGuide/Master/Table/SQL-Manual/Featured-Functions.md index c85dd00f7..5e75c7802 100644 --- a/src/UserGuide/Master/Table/SQL-Manual/Featured-Functions.md +++ b/src/UserGuide/Master/Table/SQL-Manual/Featured-Functions.md @@ -24,16 +24,16 @@ ### 1.1 `date_bin` Function -#### **Description:** +#### **Description** The `date_bin` function is a scalar function that aligns timestamps to the start of specified time intervals. It is commonly used with the `GROUP BY` clause for downsampling. - **Partial Intervals May Be Empty:** Only timestamps that meet the conditions are aligned; missing intervals are not filled. - **All Intervals Return Empty:** If no data exists within the query range, the downsampling result is an empty set. -#### **Usage** **Examples****:** +#### **Usage Examples** -**Sample Dataset****:** The example data page contains SQL statements for building table structures and inserting data. Download and execute these statements in the IoTDB CLI to import the data into IoTDB. You can use this data to test and execute the SQL statements in the examples and obtain the corresponding results. +[Sample Dataset](../Reference/Sample-Data.md): The example data page contains SQL statements for building table structures and inserting data. Download and execute these statements in the IoTDB CLI to import the data into IoTDB. You can use this data to test and execute the SQL statements in the examples and obtain the corresponding results. **Example 1: Hourly Average Temperature for Device 100** @@ -45,7 +45,7 @@ WHERE (time >= 2024-11-27 00:00:00 AND time <= 2024-11-30 00:00:00) GROUP BY 1; ``` -**Result****:** +**Result** ```Plain +-----------------------------+--------+ @@ -69,7 +69,7 @@ WHERE time >= 2024-11-27 00:00:00 AND time <= 2024-11-30 00:00:00 GROUP BY 1, device_id; ``` -**Result:** +**Result** ```Plain +-----------------------------+---------+--------+ @@ -95,7 +95,7 @@ SELECT date_bin(1h, time) AS hour_time, avg(temperature) AS avg_temp group by 1; ``` -**Result:** +**Result** ```Plain +-----------------------------+--------+ @@ -127,13 +127,13 @@ The `date_bin_gapfill` function is an extension of `date_bin` that fills in miss 2. A `GROUP BY` clause can contain only one instance of date_bin_gapfill. Multiple calls will result in an error. 3. The `GAPFILL` operation occurs after the `HAVING` clause and before the `FILL` clause. 4. The `WHERE` clause must include time filters in one of the following forms: - 1. `time >= XXX AND time <= XXX` - 2. `time > XXX AND time < XXX` - 3. `time BETWEEN XXX AND XXX` + 1. `time >= XXX AND time <= XXX` + 2. `time > XXX AND time < XXX` + 3. `time BETWEEN XXX AND XXX` 5. If additional time filters or conditions are used, an error is raised. Time conditions and other value filters must be connected using the `AND` operator. 6. If `startTime` and `endTime` cannot be inferred from the `WHERE` clause, an error is raised. -**Usage** **Examples****:** +**Usage Examples** **Example 1: Fill Missing Intervals** @@ -145,7 +145,7 @@ WHERE (time >= 2024-11-28 07:00:00 AND time <= 2024-11-28 16:00:00) GROUP BY 1; ``` -**Result:** +**Result** ```Plain +-----------------------------+--------+ @@ -173,7 +173,7 @@ WHERE time >= 2024-11-28 07:00:00 AND time <= 2024-11-28 16:00:00 GROUP BY 1, device_id; ``` -**Result:** +**Result** ```Plain +-----------------------------+---------+--------+ @@ -201,7 +201,7 @@ WHERE time >= 2024-11-27 09:00:00 AND time <= 2024-11-27 14:00:00 GROUP BY 1, device_id; ``` -**Result:** +**Result** ```Plain +---------+---------+--------+ @@ -242,7 +242,7 @@ DIFF(numberic[, boolean]) -> Double - In **tree models**, the second parameter must be specified as `'ignoreNull'='true'` or `'ignoreNull'='false'`. - In **table models**, simply use `true` or `false`. Using `'ignoreNull'='true'` or `'ignoreNull'='false'` in table models results in a string comparison and always evaluates to `false`. -### 2.5 **Usage** **Examples****:** +### 2.5 **Usage Examples** #### **Example 1: Ignore NULL Values** @@ -252,7 +252,7 @@ FROM table1 WHERE device_id = '100'; ``` -**Result:** +**Result** ```Plain +-----------------------------+---------+ @@ -277,7 +277,7 @@ FROM table1 WHERE device_id = '100'; ``` -**Result:** +**Result** ```Plain +-----------------------------+---------+ @@ -304,7 +304,7 @@ FROM table1 WHERE device_id = '100'; ``` -**Result:** +**Result** ```Plain +-----------------------------+-----------+-----------+-----------+ diff --git a/src/UserGuide/latest-Table/SQL-Manual/Featured-Functions.md b/src/UserGuide/latest-Table/SQL-Manual/Featured-Functions.md index c85dd00f7..5e75c7802 100644 --- a/src/UserGuide/latest-Table/SQL-Manual/Featured-Functions.md +++ b/src/UserGuide/latest-Table/SQL-Manual/Featured-Functions.md @@ -24,16 +24,16 @@ ### 1.1 `date_bin` Function -#### **Description:** +#### **Description** The `date_bin` function is a scalar function that aligns timestamps to the start of specified time intervals. It is commonly used with the `GROUP BY` clause for downsampling. - **Partial Intervals May Be Empty:** Only timestamps that meet the conditions are aligned; missing intervals are not filled. - **All Intervals Return Empty:** If no data exists within the query range, the downsampling result is an empty set. -#### **Usage** **Examples****:** +#### **Usage Examples** -**Sample Dataset****:** The example data page contains SQL statements for building table structures and inserting data. Download and execute these statements in the IoTDB CLI to import the data into IoTDB. You can use this data to test and execute the SQL statements in the examples and obtain the corresponding results. +[Sample Dataset](../Reference/Sample-Data.md): The example data page contains SQL statements for building table structures and inserting data. Download and execute these statements in the IoTDB CLI to import the data into IoTDB. You can use this data to test and execute the SQL statements in the examples and obtain the corresponding results. **Example 1: Hourly Average Temperature for Device 100** @@ -45,7 +45,7 @@ WHERE (time >= 2024-11-27 00:00:00 AND time <= 2024-11-30 00:00:00) GROUP BY 1; ``` -**Result****:** +**Result** ```Plain +-----------------------------+--------+ @@ -69,7 +69,7 @@ WHERE time >= 2024-11-27 00:00:00 AND time <= 2024-11-30 00:00:00 GROUP BY 1, device_id; ``` -**Result:** +**Result** ```Plain +-----------------------------+---------+--------+ @@ -95,7 +95,7 @@ SELECT date_bin(1h, time) AS hour_time, avg(temperature) AS avg_temp group by 1; ``` -**Result:** +**Result** ```Plain +-----------------------------+--------+ @@ -127,13 +127,13 @@ The `date_bin_gapfill` function is an extension of `date_bin` that fills in miss 2. A `GROUP BY` clause can contain only one instance of date_bin_gapfill. Multiple calls will result in an error. 3. The `GAPFILL` operation occurs after the `HAVING` clause and before the `FILL` clause. 4. The `WHERE` clause must include time filters in one of the following forms: - 1. `time >= XXX AND time <= XXX` - 2. `time > XXX AND time < XXX` - 3. `time BETWEEN XXX AND XXX` + 1. `time >= XXX AND time <= XXX` + 2. `time > XXX AND time < XXX` + 3. `time BETWEEN XXX AND XXX` 5. If additional time filters or conditions are used, an error is raised. Time conditions and other value filters must be connected using the `AND` operator. 6. If `startTime` and `endTime` cannot be inferred from the `WHERE` clause, an error is raised. -**Usage** **Examples****:** +**Usage Examples** **Example 1: Fill Missing Intervals** @@ -145,7 +145,7 @@ WHERE (time >= 2024-11-28 07:00:00 AND time <= 2024-11-28 16:00:00) GROUP BY 1; ``` -**Result:** +**Result** ```Plain +-----------------------------+--------+ @@ -173,7 +173,7 @@ WHERE time >= 2024-11-28 07:00:00 AND time <= 2024-11-28 16:00:00 GROUP BY 1, device_id; ``` -**Result:** +**Result** ```Plain +-----------------------------+---------+--------+ @@ -201,7 +201,7 @@ WHERE time >= 2024-11-27 09:00:00 AND time <= 2024-11-27 14:00:00 GROUP BY 1, device_id; ``` -**Result:** +**Result** ```Plain +---------+---------+--------+ @@ -242,7 +242,7 @@ DIFF(numberic[, boolean]) -> Double - In **tree models**, the second parameter must be specified as `'ignoreNull'='true'` or `'ignoreNull'='false'`. - In **table models**, simply use `true` or `false`. Using `'ignoreNull'='true'` or `'ignoreNull'='false'` in table models results in a string comparison and always evaluates to `false`. -### 2.5 **Usage** **Examples****:** +### 2.5 **Usage Examples** #### **Example 1: Ignore NULL Values** @@ -252,7 +252,7 @@ FROM table1 WHERE device_id = '100'; ``` -**Result:** +**Result** ```Plain +-----------------------------+---------+ @@ -277,7 +277,7 @@ FROM table1 WHERE device_id = '100'; ``` -**Result:** +**Result** ```Plain +-----------------------------+---------+ @@ -304,7 +304,7 @@ FROM table1 WHERE device_id = '100'; ``` -**Result:** +**Result** ```Plain +-----------------------------+-----------+-----------+-----------+ diff --git a/src/zh/UserGuide/Master/Table/SQL-Manual/Featured-Functions.md b/src/zh/UserGuide/Master/Table/SQL-Manual/Featured-Functions.md index d4f9215f8..d35c99c1d 100644 --- a/src/zh/UserGuide/Master/Table/SQL-Manual/Featured-Functions.md +++ b/src/zh/UserGuide/Master/Table/SQL-Manual/Featured-Functions.md @@ -38,7 +38,7 @@ ###### 示例数据 -在[示例数据页面](https://timechor.feishu.cn/docx/YEubdhNGkoaPdnxNolBcaMMKnoe)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。 +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：获取设备** **`100`** **某个时间范围的每小时平均温度 diff --git a/src/zh/UserGuide/latest-Table/SQL-Manual/Featured-Functions.md b/src/zh/UserGuide/latest-Table/SQL-Manual/Featured-Functions.md index d4f9215f8..d35c99c1d 100644 --- a/src/zh/UserGuide/latest-Table/SQL-Manual/Featured-Functions.md +++ b/src/zh/UserGuide/latest-Table/SQL-Manual/Featured-Functions.md @@ -38,7 +38,7 @@ ###### 示例数据 -在[示例数据页面](https://timechor.feishu.cn/docx/YEubdhNGkoaPdnxNolBcaMMKnoe)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。 +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：获取设备** **`100`** **某个时间范围的每小时平均温度