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Mastering SQL Aggregation Problems

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Drills to master SQL aggregation problems

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Mastering SQL Aggregation ProblemsVersión en línea

Drills to master SQL aggregation problems

por Good Sam
1

total_sales SELECT SUM FROM AS amount sales

Problem 1 : Total Sales
Question : You have a table sales ( order_id INT , amount DECIMAL ) . Write a SQL query to calculate the total sales amount .

Solution :

( )
;





SELECT SUM ( amount ) AS total_sales
FROM sales ;

Explanation : The SUM ( ) function aggregates the total sales by summing up all the amount values in the sales table .

2

SELECT average_sale_amount AS sales AVG amount FROM

Problem 2 : Average Sales per Order
Question : Calculate the average sales amount per order from the sales table .

Solution :

( )
;





SELECT AVG ( amount ) AS average_sale_amount
FROM sales ;

Explanation : The AVG ( ) function calculates the average amount of sales by dividing the total sum of the amount column by the count of rows ( i . e . , number of orders ) .

3

DISTINCT SELECT order_details COUNT distinct_products product_id FROM AS

Problem 3 : Count of Distinct Products Sold
Question : Given a table order_details ( order_id INT , product_id INT ) , find the number of distinct products sold .

Solution :

( )
;






SELECT COUNT ( DISTINCT product_id ) AS distinct_products
FROM order_details ;

Explanation : COUNT ( DISTINCT product_id ) counts the unique product IDs in the order_details table , ignoring duplicates .

4

SELECT MIN FROM MAX amount max_sale AS AS min_sale sales amount

Problem 4 : Maximum and Minimum Sale
Question : Find both the largest and smallest sale amounts from the sales table .

Solution :

( ) , ( )
;






SELECT MAX ( amount ) AS max_sale , MIN ( amount ) AS min_sale
FROM sales ;

Explanation : The MAX ( ) and MIN ( ) functions are used to find the highest and lowest values in the amount column of the sales table .

5

SUM MONTH sale_year YEAR AS sale_date EXTRACT FROM sale_date sale_date SELECT sale_month YEAR ORDER sale_date EXTRACT BY total_sales AS FROM FROM sale_year amount FROM GROUP MONTH BY sale_month EXTRACT AS FROM sales EXTRACT

Problem 5 : Grouped Sales by Month
Question : Assuming a table sales ( order_id INT , amount DECIMAL , sale_date DATE ) , calculate total sales for each month .

Solution :

( ) ,
( ) ,
( )

( ) , ( )
, ;











SELECT EXTRACT ( YEAR FROM sale_date ) AS sale_year ,
EXTRACT ( MONTH FROM sale_date ) AS sale_month ,
SUM ( amount ) AS total_sales
FROM sales
GROUP BY EXTRACT ( YEAR FROM sale_date ) , EXTRACT ( MONTH FROM sale_date )
ORDER BY sale_year , sale_month ;

Explanation : The SUM ( ) function is used to aggregate sales per month , grouped by year and month extracted from sale_date . The GROUP BY clause groups the data into sets that share the same year and month so that SUM ( ) can compute totals for each group .

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