## How to count rows called orders from the last 30 days and sum up the price of that order?

write a query to display the name of the first customer and the last customer who ordered products

write a query to display the names of customers who have ordered more than 2 times.

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The order table is made up of quantity, price, username and orderdate which is in datetime format.

An order is submitted from a cart page, if multiple items are submitted such as 8 monitors and 2 pcs. It will input those as two separate records.

##### The goal: To multiply the quantity by the price for each record a user has, then to add those records up for the last 30 days.

Tried the below code to get the orders from the last 30 days which isnt working.

##### edit: working code for getting orders from last 30 days

SELECT * FROM `orders` where orderdate between adddate(now(),-30) and now()

Honestly not sure where to start with the above sql statement, not sure where exactly the groupbys, count and sum() functions go since I am only starting with sql.

You can use below query

SELECT SUM(`price`) AS sum FROM orders WHERE `orderdate` BETWEEN DATE_SUB(NOW(), INTERVAL 30 DAY) AND NOW();

If you need to count row and sum the sales price

SELECT SUM(`price`) AS sum,COUNT(*) AS counter FROM orders WHERE `orderdate` BETWEEN DATE_SUB(NOW(), INTERVAL 30 DAY) AND NOW();

Alternatively, if you wanted these queries by username,

SELECT SUM(`price`) AS sum FROM orders WHERE uname = 'test' and `orderdate` BETWEEN DATE_SUB(NOW(), INTERVAL 30 DAY) AND NOW(); SELECT SUM(`price`) AS sum,COUNT(*) AS counter FROM orders where uname = 'test' and `orderdate` BETWEEN DATE_SUB(NOW(), INTERVAL 30 DAY) AND NOW();

**QUERYING THE DATABASE: QUERIES and VIEWS,** Note the number of rows and columns in the result set for the Orders Query specifying relationships between tables or not setting up the appropriate joins in a query. Price, the discounted total for each line item (order detail) in all orders, using Change one of the previous queries to include an additional column (call it� To count the number of rows which are used to sum up to a certain matched value, you can apply a formula. Select a blank cell, E2 for instance, and enter this formula =MATCH(D2,SUBTOTAL(9,OFFSET(B2,,,ROW(B2:B17)-ROW(B2))),1), press Shift + Ctrl + Enterkey to get to the correct result.

Be more explicit:

WHERE orderdate >= CURRENT_TIMESTAMP - INTERVAL 30 DAY

Or, because you probably do not care about the time component:

WHERE orderdate >= CURRENT_DATE - INTERVAL 30 DAY

**Comparing Metrics Over Time in SQL,** Postgres examples include comparing years, quarters, day of week and Compare orders, average order price, and revenue by year This calculates revenue by adding up values in the “total_price” column (we will group the rows in a It creates a new column called “revenue” and inserts the sum of the� The GROUP BY clause divides the orders into groups by customerid. The COUNT(*) function returns the number of orders for each customerid. The HAVING clause gets only groups that have more than 20 orders. SQL COUNT ALL example. Let’s take a look at the customers table.

In order to get the "total order value" for the last 30 days, you need to calculate `SUM()`

on `price*quantity`

:

SELECT SUM(price*quantity) AS total_order_value FROM orders WHERE orderdate BETWEEN NOW() - INTERVAL 30 DAY and NOW()

**SQL functions (SUM, AVG, COUNT, etc) & the GROUP BY clause,** Then I'll show you some intermediate SQL clauses ( ORDER BY Set up your own data server to practice: How to set up Python, SQL, It's called GROUP BY . with an average departure delay of more than 30 or even 40 minutes. write an SQL query, the first line of it could highly rely on the last line. To count cells based on one criteria (for example, greater than 9), use the following COUNTIF function. Note: visit our page about the COUNTIF function for many more examples. Countifs. To count cells based on multiple criteria (for example, green and greater than 9), use the following COUNTIFS function. Sum. To sum a range of cells, use the

**How to Group and Summarize your Results (simple explanation ,** The SQL GROUP BY Clause is used to output a row across specified column values. such as SUM, are used to perform calculations on a group of rows, these are called To count the distinct of orders making up the details we would use the we can set up a grouping on OrderID to calculate the total price per order as thanks!, when I put it like this its working I think "SELECT COUNT( * ) AS orders, date FROM orders WHERE customer_id =41 AND date > ADDDATE( CURDATE( ) , INTERVAL -30 DAY ) GROUP BY EXTRACT( DAY FROM date )" – Nemanja Srećković Jul 2 '11 at 21:46

**Ask TOM "SQL Query aggregation and subqueries",** I need to calculate two things: 1. Bascially I need to run a SQL statement that gives me 200(sum last 4 AC006 30 DC003 05/03/2002 5 order by effective_date desc) qty it uses the analytic functions available with 816 EE and up. use data whose effective_date is within 5 days of the max effective_date). In your example above, we are telling Excel to COUNT the number of cells where the criteria range (anywhere in Column C) equals the criteria (the date 01/08/2012) in Cell F10, AND where the criteria range (anywhere in Column D) equals the criteria (the name of the employee in Cell G8, AND where the criteria range (anywhere in Column A) equals

**Chapter 16 SQL Data Manipulation Language – Database Design ,** The beginning of each clause should line up with the beginning of other clauses. shown) would be used that contains fields called Title, Quantity, and Price (of book). You use the ORDER BY clause to sort the records in the resulting list. The below SELECT statement illustrates how to count groups of data using the� Hi guys, first time poster occasional lurker. I need help with a formula to count the number of entries in a column of dates that are between 14 and 30 days old from TODAY (automatic system date)

##### Comments

- How is this not working?
- This works perfectly except it doesnt multiply the quantity by the price.
- @IanO'Loughlin use SUM(price*quantity)