Impala教程

Impala 排序

Impala ORDER BY 子句用于根据一列或多列按升序或降序对数据进行排序。部分数据库默认按升序对查询结果进行排序。

语法

以下是 ORDER BY 子句的语法。
select * from table_name ORDER BY col_name [ASC|DESC] [NULLS FIRST|NULLS LAST]
您可以分别使用关键字 ASCDESC 按升序或降序排列表格中的数据。
同理,如果我们使用NULLS FIRST,表中所有的空值都排在最上面的几行;如果我们使用NULLS LAST,则包含空值的行将排在最后。

示例

假设我们在数据库 my_db中有一个名为 customers的表,其内容如下-
[quickstart.cloudera:21000] > select * from customers;
Query: select * from customers 
+----+----------+-----+-----------+--------+ 
| id | name     | age | address   | salary | 
+----+----------+-----+-----------+--------+ 
| 3  | kaushik  | 23  | Kota      | 30000  | 
| 1  | Ramesh   |  32 | Ahmedabad | 20000  | 
| 2  | Khilan   | 25 | Delhi     | 15000  | 
| 6  | Komal    | 22  | MP        | 32000  | 
| 4  | Chaitali | 25  | Mumbai    | 35000  | 
| 5  | Hardik   | 27  | Bhopal    | 40000  | 
+----+----------+-----+-----------+--------+ 
Fetched 6 row(s) in 0.51s
以下是使用 order by 子句按 id's 的升序排列 customers 表中数据的示例。
[quickstart.cloudera:21000] > Select * from customers ORDER BY id asc;
执行时,上述查询产生以下输出。
Query: select * from customers ORDER BY id asc 
+----+----------+-----+-----------+--------+ 
| id | name     | age | address   | salary | 
+----+----------+-----+-----------+--------+ 
| 1  | Ramesh   | 32  | Ahmedabad | 20000  | 
| 2  | Khilan   | 25 | Delhi     | 15000  | 
| 3  | kaushik  | 23  | Kota      | 30000  | 
| 4  | Chaitali | 25  | Mumbai    | 35000  | 
| 5  | Hardik   | 27  | Bhopal    | 40000  | 
| 6  | Komal    | 22  | MP        | 32000  | 
+----+----------+-----+-----------+--------+ 
Fetched 6 row(s) in 0.56s
同理,您可以使用 order by子句按降序排列 customers表的数据,如下所示。
[quickstart.cloudera:21000] > Select * from customers ORDER BY id desc;
执行时,上述查询产生以下输出。
Query: select * from customers ORDER BY id desc 
+----+----------+-----+-----------+--------+ 
| id | name     | age | address   | salary | 
+----+----------+-----+-----------+--------+ 
| 6  | Komal    | 22  | MP        | 32000  | 
| 5  | Hardik   | 27  | Bhopal    | 40000  | 
| 4  | Chaitali | 25 | Mumbai    | 35000  | 
| 3  | kaushik  | 23  | Kota      | 30000  | 
| 2  | Khilan   | 25  | Delhi     | 15000  |
| 1  | Ramesh   | 32  | Ahmedabad | 20000  | 
+----+----------+-----+-----------+--------+ 
Fetched 6 row(s) in 0.54s
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