openGauss Subqueries
Tags: opengauss
Published: 2023-03-07 07:36:36

A subquery, also called an internal query, is a nested query. The subquery embeds a query statement in the WHERE clause of a database query and it is equivalent to a temporary table. The query result of a SELECT statement can be used as the input value of another statement.

A subquery can be used with the SELECT, INSERT, UPDATE, and DELETE statements.

The subquery must comply with the following rules:

The subquery must be enclosed in parentheses.
The subquery can have only one column in the SELECT clause, unless there are multiple columns in the main query to compare with the columns selected by the subquery.
ORDER BY cannot be used in the subquery, although it can be used in the main query. GROUP BY can be used in the subquery with the same function as ORDER BY.
The subquery returns more than one row. It can be used only with multi-value operators, such as IN.
The BETWEEN operator cannot be used with the subquery, but it can be used inside the subquery.
Subquery in the SELECT Statement
The SELECT statement queries the data returned by the subquery. The basic syntax is as follows:

""
SELECT column_name [, column_name ]
FROM   table1 [, table2 ]
WHERE  column_name OPERATOR
      (SELECT column_name [, column_name ]
      FROM table1 [, table2 ]
      [WHERE]);
Example:

Create the customer table. The data is as follows:

""
openGauss=# SELECT * FROM customer_t1;
 c_customer_sk | c_customer_id | c_first_name | c_last_name | amount
---------------+---------------+--------------+-------------+--------
          3869 | hello         | Grace        |             |   1000
          3869 |               | Grace        |             |
          3869 | hello         |              |             |
          6985 | maps          | Joes         |             |   2200
          9976 | world         | James        |             |   5000
          4421 | Admin         | Local        |             |   3000
(6 rows)
Run the following statement to use a subquery in the SELECT statement:

""
openGauss=# SELECT * FROM customer_t1 WHERE c_customer_sk IN (SELECT c_customer_sk FROM customer_t1 WHERE amount > 2500) ;
 c_customer_sk | c_customer_id | c_first_name | c_last_name | amount
---------------+---------------+--------------+-------------+--------
          9976 | world         | James        |             |   5000
          4421 | Admin         | Local        |             |   3000
(2 rows)
Subquery in the INSERT Statement
Subqueries can also be used with the INSERT statement. The INSERT statement inserts the data returned by the subquery into another table. The basic syntax is as follows:

""
INSERT INTO table_name [ (column1 [, column2 ]) ]
SELECT [ *|column1 [, column2 ] ]
FROM table1 [, table2 ]
[ WHERE VALUE OPERATOR ]
Example:

Create the customer_bak table whose structure is the same as that of the customer_t1 table.

""
openGauss=# CREATE TABLE customer_bak
(
    c_customer_sk             integer,
    c_customer_id             char(5),
    c_first_name              char(6),
    c_last_name               char(8),
    Amount                    integer
);
CREATE TABLE
Insert data in the customer_t1 table into the customer_bak table.

""
openGauss=# INSERT INTO customer_bak SELECT * FROM customer_t1  WHERE c_customer_sk  IN (SELECT c_customer_sk  FROM customer_t1) ;
INSERT 0 6
After the data is inserted, data in the customer_bak table is as follows:

""
openGauss=# SELECT * FROM customer_bak;
 c_customer_sk | c_customer_id | c_first_name | c_last_name | amount
---------------+---------------+--------------+-------------+--------
          3869 | hello         | Grace        |             |   1000
          3869 |               | Grace        |             |
          3869 | hello         |              |             |
          6985 | maps          | Joes         |             |   2200
          9976 | world         | James        |             |   5000
          4421 | Admin         | Local        |             |   3000
(6 rows)
Subquery in the UPDATE Statement
When a subquery is run by executing the UPDATE statement, multiple columns in the table are updated. The basic syntax is as follows:

""
UPDATE table
SET column_name = new_value
[ WHERE OPERATOR [ VALUE ]
   (SELECT COLUMN_NAME
   FROM TABLE_NAME
   [ WHERE ])
Example:

Change the value of amount of all customers whose c_customer_sk is set to a value greater than 4000 in the customer_t1 table to 0.50 times of the original value.

""
openGauss=# UPDATE customer_t1 SET amount = amount * 0.50 WHERE c_customer_sk IN (SELECT c_customer_sk FROM customer_bak WHERE c_customer_sk > 5000 );
UPDATE 2
The update operation affects two rows. After the update, the data in the customer_t1 table is as follows:

""
openGauss=# SELECT *  FROM  customer_t1;
 c_customer_sk | c_customer_id | c_first_name | c_last_name | amount
---------------+---------------+--------------+-------------+--------
          3869 | hello         | Grace        |             |   1000
          3869 |               | Grace        |             |
          3869 | hello         |              |             |
          4421 | Admin         | Local        |             |   3000
          6985 | maps          | Joes         |             |   1100
          9976 | world         | James        |             |   2500
(6 rows)
Subquery in the DELETE Statement
The basic syntax is as follows:

""
DELETE FROM TABLE_NAME
[ WHERE OPERATOR [ VALUE ]
   (SELECT COLUMN_NAME
   FROM TABLE_NAME
   [ WHERE ])
Example:

Delete all customers whose c_customer_sk is set to a value greater than 4000 from the customer_t1 table.

""
openGauss=# DELETE FROM customer_t1 WHERE c_customer_sk IN (SELECT c_customer_sk FROM customer_bak WHERE  c_customer_sk > 5000 );
DELETE 2
The deletion operation affects two rows. After deletion, the data in the customer_t1 table is as follows:

""
openGauss=# SELECT *  FROM  customer_t1;
 c_customer_sk | c_customer_id | c_first_name | c_last_name | amount
---------------+---------------+--------------+-------------+--------
          3869 | hello         | Grace        |             |   1000
          3869 |               | Grace        |             |
          3869 | hello         |              |             |
          4421 | Admin         | Local        |             |   3000
(4 rows)