Prompt
WITH MonthlySales AS (
SELECT
DATE_TRUNC('month', soh.orderdate) AS OrderMonth,
SUM(sod.orderqty * sod.unitprice) AS TotalSales
FROM
sales.salesorderdetail sod
JOIN sales.salesorderheader soh ON sod.salesorderid = soh.salesorderid
WHERE
EXTRACT(YEAR FROM soh.orderdate) = 2013
GROUP BY
OrderMonth
),
CumulativeSales AS (
SELECT
OrderMonth,
TotalSales,
SUM(TotalSales) OVER (ORDER BY OrderMonth) AS CumulativeTotal
FROM
MonthlySales
)
SELECT
OrderMonth,
CumulativeTotal
FROM
CumulativeSales
ORDER BY
OrderMonth
Answer
This provided code is written in SQL, a language for managing and manipulating relational databases. The main function of the code is to calculate cumulative sales for each month of the year 2013.
Code Breakdown:
The code can be divided into three segments:
MonthlySales Subquery: This is a Common Table Expression (CTE) that is generating total sales for each month in 2013. The
DATE_TRUNC('month', soh.orderdate)
part truncates the order date to the nearest month. It then sums up the sales quantities multiplied by the unit price and groups the results by the OrderMonth.CumulativeSales Subquery: Another CTE, which calculates the cumulative total of the sales. The
SUM(TotalSales) OVER (ORDER BY OrderMonth) AS CumulativeTotal
line sums up the total sales from the start of the year to the current row's month, making each row's total dependent on the previous ones.Main Select Query: This is the final query that retrieves the results from the
CumulativeSales
CTE, ordering them by the month.
Key Concepts:
JOIN Clause: The JOIN clause combines rows from two or more tables based on a related column.
WHERE Clause: The WHERE clause filters records that satisfy a specified condition.
GROUP BY Clause: The GROUP BY statement groups rows that have the same values in specified columns into aggregated data.
Common Table Expression (CTE): The CTE provides a way to define temporary views for a single SELECT, INSERT, UPDATE, DELETE, or CREATE VIEW statement.
Window Function: The
SUM() OVER()
clause is a window function that operates on a set of rows and returns a single value for each row.
Example:
If we replace the table names and fields with generic ones, it could look like this:
WITH MonthlySales AS (
SELECT
DATE_TRUNC('month', t1.date_field) AS OrderMonth,
SUM(t2.quantity * t2.price) AS TotalSales
FROM
table2 t2
JOIN table1 t1 ON t2.id = t1.id
WHERE
EXTRACT(YEAR FROM t1.date_field) = 2013
GROUP BY
OrderMonth
),
CumulativeSales AS (
SELECT
OrderMonth,
TotalSales,
SUM(TotalSales) OVER (ORDER BY OrderMonth) AS CumulativeTotal
FROM
MonthlySales
)
SELECT
OrderMonth,
CumulativeTotal
FROM
CumulativeSales
ORDER BY
OrderMonth
This example showcases the same concept but with generic table and field names. It calculates monthly cumulative sales for the year 2013.
Description
This SQL code calculates cumulative sales for each month of year 2013 using Common Table Expressions and Window Functions. It showcases the usage of JOIN, WHERE, GROUP BY clauses with a focus on order dates and sales data.