# sum row in sql with code examples

SQL Sum Function

The SUM function in SQL is used to calculate the total of a set of values. It is often used in combination with the GROUP BY clause to group the result-set by one or more columns and calculate the sum for each group.

Syntax

The syntax for the SUM function is as follows:

```SELECT SUM(column_name)
FROM table_name;
```

Where `column_name` is the name of the column you want to calculate the sum of.

Example

Consider the following table, named `orders`, which stores the data for customer orders:

```+----+---------+---------+
| id | customer | amount  |
+----+---------+---------+
| 1  | John     | 100.00  |
| 2  | Jane     | 200.00  |
| 3  | John     | 300.00  |
| 4  | Jane     | 400.00  |
+----+---------+---------+
```

To calculate the total amount of all orders, you can use the following SQL statement:

```SELECT SUM(amount)
FROM orders;
```

The result of the above statement would be `900.00`.

Summing Rows in SQL

The SUM function can also be used to sum rows in SQL. This is often used when you want to sum a column across multiple tables or to sum values in multiple rows.

Syntax

The syntax for summing rows in SQL is as follows:

```SELECT SUM(column_name)
FROM (
SELECT column_name
FROM table_name
WHERE condition
) subquery;
```

Where `column_name` is the name of the column you want to calculate the sum of, `table_name` is the name of the table, and `condition` is an optional clause used to filter the result-set.

Example

Consider the following two tables, named `sales` and `expenses`, which store data for a company's sales and expenses:

```+----+-------+-------+
| id | month | sales |
+----+-------+-------+
| 1  | Jan   | 1000  |
| 2  | Feb   | 2000  |
| 3  | Mar   | 1500  |
+----+-------+-------+

+----+-------+--------+
| id | month | expense |
+----+-------+--------+
| 1  | Jan   | 500    |
| 2  | Feb   | 600    |
| 3  | Mar   | 700    |
+----+-------+--------+
```

To calculate the total sales and expenses for the company, you can use the following SQL statement:

```SELECT SUM(sales + expense)
FROM (
SELECT sales, expense
FROM sales
JOIN expenses
ON sales.month = expenses.month
) subquery;
```

The result of the above statement would be `5700`.

Conclusion

The SUM function in SQL is a powerful tool that allows you to calculate the total of a set of values. Whether you're summing values in a single column or summing values across multiple rows, the SUM function makes it easy to get the answers you need. By understanding the syntax and using examples, you can easily apply the SUM function to your own data.
SQL Group By

The GROUP BY clause in SQL is used to group the result-set of a SELECT statement into summary rows based on the values of one or more columns. The grouped rows are then processed using aggregate functions such as SUM, AVG, COUNT, MIN, MAX, etc.

Syntax

The syntax for the GROUP BY clause is as follows:

```SELECT column_name, aggregate_function(column_name)
FROM table_name
GROUP BY column_name;
```

Where `column_name` is the name of the column you want to group by, and `aggregate_function` is the aggregate function you want to use.

Example

Consider the following table, named `orders`, which stores the data for customer orders:

```+----+---------+---------+
| id | customer | amount  |
+----+---------+---------+
| 1  | John     | 100.00  |
| 2  | Jane     | 200.00  |
| 3  | John     | 300.00  |
| 4  | Jane     | 400.00  |
+----+---------+---------+
```

To group the orders by customer and calculate the total amount for each customer, you can use the following SQL statement:

```SELECT customer, SUM(amount)
FROM orders
GROUP BY customer;
```

The result of the above statement would be:

```+---------+----------+
| customer | SUM(amount) |
+---------+----------+
| John     | 400.00    |
| Jane     | 600.00    |
+---------+----------+
```

SQL Join

The SQL JOIN clause is used to combine rows from two or more tables based on a related column between them. The join operation is performed on the basis of a related column between the tables, known as a join condition. The result of the join is a new table that includes columns from both the joined tables.

Syntax

The syntax for the SQL JOIN clause is as follows:

```SELECT *
FROM table1
JOIN table2
ON condition;
```

Where `table1` and `table2` are the names of the tables you want to join, and `condition` is the join condition that specifies how the tables are related.

Example

Consider the following two tables, named `customers` and `orders`, which store data for a company's customers and orders:

```+----+---------+
| id | name    |
+----+---------+
| 1  | John    |
| 2  | Jane    |
| 3  | Bob     |
+----+---------+

+----+---------+---------+
| id | customer | amount  |
+----+---------+---------+
| 1  | 1       | 100.00  |
| 2  | 2       | 200.00  |
| 3  | 1       | 300.00  |
| 4  | 2       | 400.00  |
+----+---------+---------+
```

To combine the data from the `customers` and `orders` tables, you can use the following SQL statement:

```SELECT customers.name, SUM(orders.amount)
FROM customers
JOIN orders
ON customers.id = orders.customer
GROUP BY customers.name;
``
## Popular questions
1. What is the purpose of the SUM function in SQL?

The SUM function in SQL is used to calculate the sum of values in a column. It is used in combination with the SELECT statement to return the total value of the specified column.

2. What is the syntax for the SUM function in SQL?

The syntax for the SUM function in SQL is as follows:
```

SELECT SUM(column_name)
FROM table_name;

```Where `column_name` is the name of the column whose values you want to sum, and `table_name` is the name of the table that contains the column.

3. Can the SUM function be used on multiple columns in SQL?

No, the SUM function can only be used on one column at a time in SQL. To calculate the sum of multiple columns, you will need to use multiple SUM functions, one for each column.

4. How can you use the SUM function to sum the values of a specific row in SQL?

You can use the SUM function to sum the values of a specific row in SQL by including a WHERE clause in the SELECT statement. The WHERE clause specifies the conditions that must be met forFailed to read response from ChatGPT.  Tips:
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### Tag
Aggregation
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