How to use groupby in sql
The GROUP BY clause groups the data set by the specified column and aggregates the specified value of each group, syntax: SELECT aggregate_function(column_name) FROM table_name GROUP BY column_name. Its usage includes: 1. Aggregating data (calculating the sum, average, etc. of each group); 2. Grouping data (dividing data into groups by specified columns); 3. Filtering data (combined with the HAVING clause).
GROUP BY syntax
GROUP BY
clause sorts the data set by specified columns Groups and aggregates the specified values for each group. The syntax is as follows:
<code>SELECT aggregate_function(column_name) FROM table_name GROUP BY column_name</code>
Among them:
-
aggregate_function
: aggregate function, such asSUM()
,COUNT()
,AVG()
,MAX()
,MIN()
etc. -
column_name
: Column used for grouping.
Usage
The main usage of GROUP BY
includes:
- Aggregate data: Calculate the aggregate value (sum, average, maximum, minimum, etc.) of each group.
- Group data: Divide the data into groups by specified columns to facilitate analysis of the data in each group.
-
Filtering data: Combined with the
HAVING
clause, filter the grouped data.
Example
Suppose we have a table named Sales
with the following data:
OrderID | Product | Category | Price |
---|---|---|---|
1 | Product A | Category 1 | 10 |
2 | Product A | Category 1 | 15 |
3 | Product B | Category 2 | 20 |
4 | Product C | Category 3 | 30 |
Example 1: Calculate each category Total price of the product
SELECT Category, SUM(Price) AS TotalPrice FROM Sales GROUP BY Category;
Result:
Category | TotalPrice |
---|---|
Category 1 | 25 |
Category 2 | 20 |
Category 3 | 30 |
Example 2: Group by product, count the number of orders
SELECT Product, COUNT(*) AS OrderCount FROM Sales GROUP BY Product;
Result:
Product | OrderCount |
---|---|
2 | |
1 | |
1 |
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SUM in Oracle is used to calculate the sum of non-null values, while COUNT counts the number of non-null values of all data types, including duplicate values.

The SUM() function in SQL is used to calculate the sum of numeric columns. It can calculate sums based on specified columns, filters, aliases, grouping and aggregation of multiple columns, but only handles numeric values and ignores NULL values.

MySQL's AVG() function is used to calculate the average of numeric values. It supports multiple usages, including: Calculate the average quantity of all sold products: SELECT AVG(quantity_sold) FROM sales; Calculate the average price: AVG(price); Calculate the average sales volume: AVG(quantity_sold * price). The AVG() function ignores NULL values, use IFNULL() to calculate the average of non-null values.

The COUNT function in Oracle is used to count non-null values in a specified column or expression. The syntax is COUNT(DISTINCT <column_name>) or COUNT(*), which counts the number of unique values and all non-null values respectively.

GROUP BY is an aggregate function in SQL that is used to group data based on specified columns and perform aggregation operations. It allows users to: Group data rows based on specific column values. Apply an aggregate function (such as sum, count, average) to each group. Create meaningful summaries from large data sets, perform data aggregation and grouping.

SC stands for SELECT COUNT in SQL, an aggregate function used to count the number of records whether or not a condition is met. SC syntax: SELECT COUNT(*) AS record_count FROM table_name WHERE condition, where COUNT(*) counts the number of all records, table_name is the table name, and condition is an optional condition (used to count the number of records that meet the condition).

The SQL SUM function calculates the sum of a set of numbers by adding them together. The operation process includes: 1. Identifying the input value; 2. Looping the input value and converting it into a number; 3. Adding each number to accumulate a sum; 4. Returning the sum result.

The HAVING clause is used to filter the result set grouped by the GROUP BY clause. Its syntax is HAVING <condition>, where <condition> is a Boolean expression. The difference with the WHERE clause is that the HAVING clause filters groups after aggregation, while the WHERE clause filters rows before aggregation. It can be used to filter grouped result sets, perform aggregate calculations on data, create hierarchical reports, or summarize queries.
