Display all products having the highest amount in a MySQL table with product details?


Use MAX() along with subquery for this Here, MAX() is used to get the maximum amount. Let us first create a table −

mysql> create table DemoTable
(
   ProductId int NOT NULL AUTO_INCREMENT PRIMARY KEY,
   ProductName varchar(100),
   ProductAmount int
);
Query OK, 0 rows affected (0.53 sec)

Insert some records in the table using insert command −

mysql> insert into DemoTable(ProductName,ProductAmount) values('Product-1',60);
Query OK, 1 row affected (0.13 sec)
mysql> insert into DemoTable(ProductName,ProductAmount) values('Product-2',40);
Query OK, 1 row affected (0.10 sec)
mysql> insert into DemoTable(ProductName,ProductAmount) values('Product-3',75);
Query OK, 1 row affected (0.15 sec)
mysql> insert into DemoTable(ProductName,ProductAmount) values('Product-4',50);
Query OK, 1 row affected (0.13 sec)
mysql> insert into DemoTable(ProductName,ProductAmount) values('Product-5',75);
Query OK, 1 row affected (0.12 sec)

Display all records from the table using select statement −

mysql> select *from DemoTable;

This will produce the following output −

+-----------+-------------+---------------+
| ProductId | ProductName | ProductAmount |
+-----------+-------------+---------------+
|         1 | Product-1   |            60 |
|         2 | Product-2   |            40 |
|         3 | Product-3   |            75 |
|         4 | Product-4   |            50 |
|         5 | Product-5   |            75 |
+-----------+-------------+---------------+
5 rows in set (0.00 sec)

Following is the query to display all the products having the maximum amount −

mysql> select *from DemoTable where ProductAmount=(select max(ProductAmount) from DemoTable);

This will produce the following output −

+-----------+-------------+---------------+
| ProductId | ProductName | ProductAmount |
+-----------+-------------+---------------+
|         3 | Product-3   |            75 |
|         5 | Product-5   |            75 |
+-----------+-------------+---------------+
2 rows in set (0.00 sec)

Updated on: 30-Sep-2019

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