📜  Impala-联合条款

📅  最后修改于: 2020-11-30 05:06:05             🧑  作者: Mango


您可以使用Impala的Union子句合并两个查询的结果。

句法

以下是Impala中Union子句的语法。

query1 union query2;

假设我们在数据库my_db中有一个名为客户的表,其内容如下-

[quickstart.cloudera:21000] > select * from customers; 
Query: select * from customers 
+----+----------+-----+-----------+--------+ 
| id | name     | age | address   | salary | 
+----+----------+-----+-----------+--------+ 
| 1  | Ramesh   | 32  | Ahmedabad | 20000  | 
| 9  | robert   | 23  | banglore  | 28000  | 
| 2  | Khilan   | 25  | Delhi     | 15000  | 
| 4  | Chaitali | 25  | Mumbai    | 35000  | 
| 7  | ram      | 25  | chennai   | 23000  | 
| 6  | Komal    | 22  | MP        | 32000  | 
| 8  | ram      | 22  | vizag     | 31000  | 
| 5  | Hardik   | 27  | Bhopal    | 40000  | 
| 3  | kaushik  | 23  | Kota      | 30000  | 
+----+----------+-----+-----------+--------+ 
Fetched 9 row(s) in 0.59s

以同样的方式,假设我们还有一个名为employee的表,其内容如下-

[quickstart.cloudera:21000] > select * from employee; 
Query: select * from employee 
+----+---------+-----+---------+--------+ 
| id | name    | age | address | salary | 
+----+---------+-----+---------+--------+ 
| 3  | mahesh  | 54  | Chennai | 55000  | 
| 2  | ramesh  | 44  | Chennai | 50000  | 
| 4  | Rupesh  | 64  | Delhi   | 60000  | 
| 1  | subhash | 34  | Delhi   | 40000  | 
+----+---------+-----+---------+--------+ 
Fetched 4 row(s) in 0.59s

以下是Impala中的union子句的示例。在此示例中,我们将两个表中的记录按其ID的顺序排列,并使用两个单独的查询并使用UNION子句将这些查询连接起来,将记录数限制为3。

[quickstart.cloudera:21000] > select * from customers order by id limit 3
 union select * from employee order by id limit 3;

执行时,上面的查询给出以下输出。

Query: select * from customers order by id limit 3 union select 
   * from employee order by id limit 3 
+----+---------+-----+-----------+--------+ 
| id | name    | age | address   | salary | 
+----+---------+-----+-----------+--------+ 
| 2  | Khilan  | 25  | Delhi     | 15000  |
| 3  | mahesh  | 54  | Chennai   | 55000  | 
| 1  | subhash | 34  | Delhi     | 40000  | 
| 2  | ramesh  | 44  | Chennai   | 50000  | 
| 3  | kaushik | 23  | Kota      | 30000  | 
| 1  | Ramesh  | 32  | Ahmedabad | 20000  | 
+----+---------+-----+-----------+--------+ 
Fetched 6 row(s) in 3.11s