I am trying to use create a graph using last months sales (plus 10% of last months production so multiplying the last months sales by 1.1). It seems it should be simple but I can't seem to figure it out, I have tried using a CASE statement
CASE
WHEN MonthName(SaleDate) = 'Jan' THEN Count(SaleId) -- how do we limit for a particular time frame in a CASE?
I am using the MySQL version 5.7, but I am using DOMO so I can't be sure but 5.7 was the documentation they linked to
SELECT
SUM(CASE WHEN MonthName(SaleDate) = 'Jan' THEN SaleAmount END) "January Sales)
FROM my_table
NB
If you don't specify the year you could have the total of sales from January 2021 + January 2022.
I assume that the column salesId is not the value of the sale.
I suspect that the function month() could run faster than monthname(). WHEN MONTH(SaleDate) = 1
Related
I'm trying to find the average of net total for a given month, based on previous years to help show things like seasonal trends in sales.
I have a table called "Invoice" which looks similar to the below (slimmed down for the purpose of this post):
ID - int
IssueDate - DATE
NetTotal - Decimal
Status - Enum
The data I'm trying to get, for example would be similar to this:
(sum of invoices in June 2018 + sum of invoices in June 2019 + sum of invoices in June 2020) divided by number of years covered (3) = Overall average for June
But, doing this for the full 12 months of the year based on all the data (not just 2018 through to 2020).
I'm a bit stumped on how to pull this data. I've tried subqueries and even tried using a SUM within an AVG select, but the query either fails or returns incorrect data.
An example of what I've tried:
SELECT MONTHNAME(`Invoice`.`IssueDate`) AS `CalendarMonth`, AVG(`subtotal`)
FROM (SELECT SUM(`Invoice`.`NetTotal`) AS `subtotal`
FROM `Invoice`
GROUP BY EXTRACT(YEAR_MONTH FROM `Invoice`.`IssueDate`)) AS `sub`, `Invoice`
GROUP BY MONTH(`Invoice`.`IssueDate`)
which returns:
I see two parts to this query, but unsure how to structure it:
A sum and count of all data based on the month
An average based on the number of years
I'm not sure where to go from here and would appreciate any pointers.
Ideally, I'd want to get the totals from rows where "Status" = "Paid", but trying to crack the first part first. Walk before running as they say!
Any guidance greatly appreciated!
Basically you want two levels of aggregation:
SELECT mm, AVG(month_total)
FROM (SELECT YEAR(i.IssueDate) as yyyy, MONTH(i.issueDate) as mm,
SUM(i.`NetTotal`) as month_total
FROM Invoice i
GROUP BY yyyy, mm
) ym
GROUP BY mm;
Just for the Average Amount Part You Could use a query like
Select Date From Your_Table Where Date Like '20__-06-%'
You can arrange it into asc desc order.
I have a table that I'd like to run a SQL query on. I want to find all the customers that have a status active and have their interval_type set to interval. That part is fine, it's the next part I'm struggling with.
I want to find any orders that are to be processed between between Dec 1st 2019 and Dec 6th 2019.
The difficulty is that in my table I have the columns "interval", this can be a number between 15-75 days (and is converted to seconds) and when their order was last processed (also a unix timestamp) in the column called "last_processed".
If the "interval" (in seconds) is added to the "last_processed" (a date), does that new date fall between the 1st and 6th of Dec. How can I do that?
SELECT *
FROM subscriptions
WHERE
status = 'active' AND
interval_type = 'interval' AND
`interval` BETWEEN 1575158400 AND 1575676740;
Here's what the data looks like in my table:
You can do it this way
SELECT *,
FROM_UNIXTIME(last_processed+`interval`)
FROM subscriptions
WHERE status = 'active' AND
interval_type = 'interval'
AND (last_processed + `interval`) BETWEEN UNIX_TIMESTAMP('2019-12-01 00:00:00')
AND UNIX_TIMESTAMP('2019-12-06 23:59:59');
DBfiddle Example
Next time please use text instead or directly a dbfiddle example, than you can get an answer much earlier. That's why i posted the link for a minimal example.
I'm in need of some help structuring in-time queries. There's a few of them I need - but I think that if I can be shown how to do one, I can figure out the others.
What I'm after:
-Rolling 12 month view of 'inactive accounts'...ie number of accounts that have not placed an order in the 12 months prior.
-This ideally will be a subquery (in a much larger script) joining back on to a dates table (see below)
January 2015 | # of customers with no orders from 1/2014-1/2015
February 2015 | # of customers with no orders from 2/2014-2/2015
March 2015 | # of customers with no orders from 3/2014-3/2015
etc...
What I'm having trouble wrapping my mind around is how I'd structure a where clause to ensure that it scans all orders and only returns the total of account ID's that had not placed an order in the year prior to that month. I've used different combinations of DATEDIFF, DATESUB etc.
SELECT DATE_FORMAT(order_datetime, '%Y-%m'), COUNT DISTINCT (account_id)
FROM warehouse.orders
JOIN warehouse.accounts ON xyz
WHERE...
It feels like I'm on the right path - I just keep mentally going in circles trying to figure this out.
Cheers and thanks in advance.
I don't have enough reputation points to simply comment on your question. I don't fully understand it though.
Are you using SQLServer/TSQL or MySQL?
Do you want to have just one column which calculates the last 12 months' rolling average or 12 columns for the rolling average each month? If it is just one figures for the last 12 months tolling do you want that to be from the current day or the beginning of that month?
If it was SQL Server and a rolling 12 months to now, the calculation could be:
SELECT SUM(CASE WHEN DATEDIFF(y,GETDATE(),order_date_time) < 1 THEN COUNT(DISTINCT account_id) END) as January2015
If you're using MySQL replace GETDATE() with NOW()
If you want one value rolling but to the beginning of the month then you could use:
SELECT SUM(CASE WHEN DATEDIFF(y,DATEADD(M, DATEDIFF(M, 0, GETDATE()), 0),order_date_time) < 1 THEN COUNT(DISTINCT account_id) END) as January2015
If I've missed the point entirely, please let me know and I'll happily amend the answer
You should query between dates, in order to get the count of events for each id.
select case
when count(account_id)<0 then 'INACTIVE'
when count(account_id)>0 then 'ACTIVE'
from warehouse.orders
where data_format(order_datetime, '%m/%Y') between '1/2014' and '1/2015'
group by account_id)
Using MySQL and PHP I am building a JSON array to populate a data table.
For the purposed of my question suppose the data table has the following columns:
Year: 2010,2011,2012,2013...<br/>
Month: 1,2,3,4,5...<br/>
Value: 100, 150, 200 etc...<br/>
The table structure cannot be altered and my solution needs come into the MySQL query
The data can be viewed either monthly, quarterly or yearly. Monthly and yearly is achieved easily through grouping by year and month.
Quarterly data can be grouped by calendar quarter (Jan-Mar, Apr-Jun, Jul-Sep, Oct-Dec) by this group statement:
GROUP BY year, round((month/3)+0.3,0)
So where Jan, Feb and March might all have 100 for their value the summed result is 300, same for other months.
Now my problem comes when I want to group values by a financial quarter, for example a quarter that starts in Feb, or any other quarters.
I have a statement that works for the quarter grouping using two variables that can be accessed via the SQL query, start_year (i.e. 2014) and start_month (i.e. 2)
GROUP BY year, (((round(((((month-(start_month-1))+((year-start_year)*12))-((year-start_year)*12))/3)+0.33,0)/4)+4)-floor(((round(((((month-(start_month, '%m')-1))+((year-start_year)*12))-((year-start_year*12))/3)+0.33,0)/4)+4)))*12
which basically will assign a 0,3,6,9 value to each calendar month for the purposes of grouping.
In the financial year starting February this works fine for quarters 1-3, however breaks for the final quarter as it includes Nov and Dec 2014 data and Jan from 2015.
As a result I get 5 rows of data instead of 4.
This is because of the preceding GROUP by year clause, an important addition as we might want to generate a table that views sequential quarters for multiple years.
So what I am looking for is a way of grouping the years together by offsetting the start month.
So when the year starts in Jan it will group Jan-Dec but if we change that to starting Feb it will group Feb-Jan.
Any ideas, suggestions most welcome!
Regards,
Carl
I solved a similar problem just now (a Moodle report aggregating assignment scores by year and quarter) with something like this:
select year(from_unixtime(s.timemarked)) as year, quarter(from_unixtime(s.timemarked)) % 4 + 1 as quarter, count(distinct data1) as "tickets graded" from mdlassignment_submissions s where grade >= 0 group by year, quarter order by year, quarter;
The relevant part for what you're doing is quarter(from_unixtime(s.timemarked)) % 4 + 1 as quarter
As another commenter pointed out, MySQL has a quarter() function, but it doesn't do financial quarters. However, since (as I understand it, at least, based on consulting the relevant wikipedia page) financial quarters are just offset by 1, the % 4 + 1 at the end should convert it.
Given the sample data in the screenshot below, would it be possible in mysql to return a sum of values from monthly_amount only where the values are before this month. I used a join to pull this data. The 5 left columns are from one table, and the rest are from another.
The issue I'm running into is, lets say its April of 2015, I can't just do a sum WHERE goal_year <= 2015 AND month_id_FK <= 4, or else I'll get only those 4 months from both years, when in that scenario, I really want all the months from 2014, plus the 4 months from 2015.
I could handle this in PHP, but I wanted to first see if there would be a way to do this in mysql?
try
WHERE Goal_Year*100+month_id_FK <= 201504
alternatively:
WHERE
GOAL_YEAR < 2015 OR
(GOAL_YEAR = 2015 and month_id_FK <= 4)
select sum(monthly_amount) from table where goaldate<(SELECT CURDATE())
this is not the actual query for your table..but if you do like this you will get the answer
you need the sum of monthly amount where the date is before current-date means today.
then you can just compare the currentdate with goal date