Converting a lookup over a week to a month? - mysql

I have a lookup that gets and groups results on a weekly basis:
SELECT
COUNT(IF(YEARWEEK(Submitted, 1) = YEARWEEK(NOW(), 1), 1, null)) AS Bookings,
COUNT(IF(YEARWEEK(Submitted, 1) = YEARWEEK(NOW()- INTERVAL 1 WEEK, 1), 1, null)) AS LastWeekBookings
FROM Bookings
Is there a month alternative to YEARWEEK that can get the year and month and previous month to count the bookings over a month instead?

You can use the function LAST_DAY() to determine the current or the previous month:
SELECT
SUM(LAST_DAY(Submitted) = LAST_DAY(NOW()) AS Bookings,
SUM(LAST_DAY(Submitted) = LAST_DAY(NOW()- INTERVAL 1 MONTH)) AS LastMonthBookings
FROM Bookings

There's no simple function that combines year and month the way YEARWEEK() combines year and week. So just compare both separately. And subtract INTERVAL 1 MONTH instead of INTERVAL 1 WEEK.
SELECT
COUNT(IF(YEAR(Submitted) = YEAR(NOW()) AND MONTH(Submitted) = MONTH(NOW()), 1, null)) AS Bookings,
COUNT(IF(YEAR(Submitted) = YEAR(NOW() - INTERVAL 1 MONTH) AND MONTH(Submitted) = MONTH(NOW() - INTERVAL 1 MONTH), 1, null)) AS LastMonthBookings
FROM Bookings

Related

Mysql retrieve orders from last year in the same month as today

I have a table orders and I would like to make a request to retrieve all orders from the month of last year to the same month as now. Example: we are in November, I would like to recover all the orders of the month of November 2017.
I try something like that but it does not work:
SELECT COUNT(*)
FROM ps_orders o
WHERE YEAR(o.date_add) = YEAR(NOW() - INTERVAL 1 YEAR)
AND MONTH(o.date_add) = MONTH(NOW() - INTERVAL 1 MONTH)
Thank you for your help
You dont need to subtract the month. It should be MONTH(NOW()) to get the same month results from the previous year.
SELECT COUNT(*)
FROM ps_orders o
WHERE YEAR(o.date_add) = YEAR(NOW() - INTERVAL 1 YEAR)
AND MONTH(o.date_add) = MONTH(NOW()) -- same as current month
I would recommend doing this with date ranges:
SELECT COUNT(*)
FROM ps_orders o
WHERE o.date_add >= (curdate() - interval (day - 1) day) - interval 12 month AND
o.date_add >= (curdate() - interval (day - 1) day) - interval 11 month ;
When you use functions such as YEAR() and MONTH() the optimizer will not take full advantage of an available index on date_add. However, this version can use an appropriate index.

Mysql select rows based on previous quarterly month from current month

I want to query row to view registered record based on previous quarterly month, for example:
current month / year: Jan 2018
the query should show all records by registered month which is: Oct 2017, Jul 2017, Apr 2017 and so on.
I use below query but only can select rows for last 3 month.
SELECT name, date, amount, agreement, bank
FROM `account`
WHERE (YEAR(date) = YEAR(CURRENT_DATE - INTERVAL 3 MONTH) AND MONTH(date) = MONTH(CURRENT_DATE - INTERVAL 3 MONTH))
You can do arithmetic like this:
select a.*
from account a
where mod(month(date), 3) = mod(month(current_date), 3);
You seem to understand how to handle the year component, but something like:
and date >= curdate() - interval 1 year
Try This One, Manually
select *
from account
Where current_date >= dateadd(year, -1, Getdate())
And Month(current_date) In (
Month(Getdate()),
(Case When Month(Getdate())+3 > 12 Then Month(Getdate())+3-12 Else Month(Getdate())+3 End),
(Case When Month(Getdate())+6 > 12 Then Month(Getdate())+6-12 Else Month(Getdate())+6 End),
(Case When Month(Getdate())+9 > 12 Then Month(Getdate())+9-12 Else Month(Getdate())+9 End)
)

Average time between two datetimes for this month and last month

We have a table with two fields tkTimeOpen and tkTimeClosed. We need to find the average wait time for this month and last month. I've been unable to get the right SQL query to pull out what I need.
This is how the date-time is recorded; 2017-01-25 10:35
This Month's Average;
SELECT SUM(DATEDIFF(MINUTE,tkTimeOpen,tkTimeClose)) * 1.0
/ (SELECT COUNT(*) * 1.0 FROM e_ticket)
FROM e_ticket
WHERE YEAR(tkTimeOpen) = YEAR(CURRENT_DATE - INTERVAL 1 MONTH) AND MONTH(tkTimeOpen) = MONTH(CURRENT_DATE - INTERVAL 0 MONTH)
Last Month's Average
SELECT SUM(DATEDIFF(MINUTE,tkTimeOpen,tkTimeClose)) * 1.0
/ (SELECT COUNT(*) * 1.0 FROM e_ticket)
FROM e_ticket
WHERE YEAR(tkTimeOpen) = YEAR(CURRENT_DATE - INTERVAL 1 MONTH) AND MONTH(tkTimeOpen) = MONTH(CURRENT_DATE - INTERVAL 1 MONTH)
I've tried a lot of variations but it doesn't give the desired output.
If anyone could help that would be great!
Thank you
This should give you the average minutes for last month and this month combined:
SELECT AVG(TIMESTAMPDIFF(MINUTE, tkTimeOpen, tkTimeClose))
FROM e_ticket
WHERE tkTimeOpen >= DATE_ADD(LAST_DAY(DATE_SUB(NOW(), INTERVAL 2 MONTH)), INTERVAL 1 DAY);
If you still need to get the averages separately, you can keep your WHERE clause similar to what you have...
For this month:
SELECT AVG(TIMESTAMPDIFF(MINUTE, tkTimeOpen, tkTimeClose))
FROM e_ticket
WHERE YEAR(tkTimeOpen) = YEAR(NOW()) AND MONTH(tkTimeOpen) = MONTH(NOW());
And for last month:
SELECT AVG(TIMESTAMPDIFF(MINUTE, tkTimeOpen, tkTimeClose))
FROM e_ticket
WHERE YEAR(tkTimeOpen) = YEAR(NOW() - INTERVAL 1 MONTH) AND MONTH(tkTimeOpen) = MONTH(NOW() - INTERVAL 1 MONTH);
One function you could use is TIMESTAMPDIFF - not DATEDIFF
You can use AVG() instead of SUM() / COUNT()
SELECT AVG(TIMESTAMPDIFF(MINUTE,tkTimeOpen,tkTimeClose))
FROM e_ticket
WHERE YEAR(tkTimeOpen) = YEAR(CURRENT_DATE - INTERVAL 1 MONTH)
AND MONTH(tkTimeOpen) = MONTH(CURRENT_DATE - INTERVAL 1 MONTH)

Grouping COUNT by Time in MySql

I have a simple query that give me the count of application types; it looks something like this:
SELECT Application_Type, COUNT(*) FROM Loan_Applications GROUP BY Application_Type;
It returns something like this:
Home 3
Car 21
Commercial 16
There is a field in the database called Submission_Date (Of type Date)
How can I query and break up this data by week?
Type This week Last week 2 weeks ago
Home 1 1 1
Car 9 6 6
Commercial 10 0 3
You can try something like:
SELECT
Application_Type,
SUM(IF(Submission_Date BETWEEN CURRENT_DATE AND CURRENT_DATE - INTERVAL 1 WEEK, 1, 0)) AS 'This week',
SUM(IF(Submission_Date BETWEEN CURRENT_DATE- INTERVAL 1 WEEK AND CURRENT_DATE - INTERVAL 2 WEEK, 1, 0)) AS 'Last week',
SUM(IF(Submission_Date BETWEEN CURRENT_DATE- INTERVAL 2 WEEK AND CURRENT_DATE - INTERVAL 3 WEEK, 1, 0)) AS '2 weeks ago',
FROM Loan_Applications
GROUP BY Application_Type
;
Or:
SET #date1w = CURRENT_DATE - INTERVAL 1 WEEK;
SET #date2w = CURRENT_DATE - INTERVAL 2 WEEK;
SET #date3w = CURRENT_DATE - INTERVAL 3 WEEK;
SELECT
Application_Type,
SUM(IF(Submission_Date BETWEEN CURRENT_DATE AND #date1w, 1, 0)) AS 'This week',
SUM(IF(Submission_Date BETWEEN #date1w AND #date2w, 1, 0)) AS 'Last week',
SUM(IF(Submission_Date BETWEEN #date2w AND #date3w, 1, 0)) AS '2 weeks ago',
FROM Loan_Applications
GROUP BY Application_Type
;
You can make a SUMIF type of calculation. The following sums the number of rows where the submission date is within the last week.
SUM(CASE WHEN submission_date >= CURDATE() - 7 THEN 1 ELSE 0 END)
You could then repeat this for different ranges, to get any "bands" that you desire.
Try
SELECT
Application_Type,
SUM(WEEKOFYEAR(Submission_Date) = WEEKOFYEAR(NOW())) AS `This week`,
SUM(WEEKOFYEAR(Submission_Date) = WEEKOFYEAR(DATE_ADD(NOW(),INTERVAL -1 WEEK))) AS `Last week`,
SUM(WEEKOFYEAR(Submission_Date) = WEEKOFYEAR(DATE_ADD(NOW(),INTERVAL -2 WEEK))) AS `2 weeks ago`
FROM Loan_Applications GROUP BY Application_Type;
;
it is based on the fact that SUM of a boolean expression in the group by will count the cases when the expression is true

Changing start-date in MySQL for week

I found the following code to help in creating a weekly report based on a start date of Friday. The instructions say to replace ".$startWeekDay." with a 4. When I put '".$startDay."' as '2013-01-30', I get errors.
Also I get a report by day rather than week as I desire.
SELECT SUM(cost) AS total,
CONCAT(IF(date - INTERVAL 6 day < '".$startDay."',
'".$startDay."',
IF(WEEKDAY(date - INTERVAL 6 DAY) = ".$startWeekDay.",
date - INTERVAL 6 DAY,
date - INTERVAL ((WEEKDAY(date) - ".$startWeekDay.")) DAY)),
' - ', date) AS week,
IF((WEEKDAY(date) - ".$startWeekDay.") >= 0,
TO_DAYS(date) - (WEEKDAY(date) - ".$startWeekDay."),
TO_DAYS(date) - (7 - (".$startWeekDay." - WEEKDAY(date)))) AS sortDay
FROM daily_expense
WHERE date BETWEEN '".$startDay."' AND '".$endDay."'
GROUP BY sortDay;
The following code is what I am using
SELECT count(DISTINCT (
UserID)
) AS total, CONCAT(IF(date(LastModified) - INTERVAL 6 day < date(LastModified),
date(LastModified),
IF(WEEKDAY(date(LastModified) - INTERVAL 6 DAY) = 4,
date(LastModified) - INTERVAL 6 DAY,
date(LastModified) - INTERVAL ((WEEKDAY(date(LastModified)) - 4)) DAY)),
' - ', date(LastModified)) AS week
FROM `Purchase`
WHERE `OfferingID` =87
AND `Status`
IN ( 1, 4 )
GROUP BY week
The output I get is
total week
3 2013-01-30 - 2013-01-30
1 2013-01-31 - 2013-01-31
I'm not sure exactly how you want to display your week, the sql above is attempting to display date ranges. If this isn't a requirement, your query could be very simple, you can just offset your time by two days (since friday is two days away from the natural star of the week) and use the week function to get the week number.
The query would look like this:
select count(distinct (UserID)) as total
, year( LastModified + interval 2 day ) as year
, week( LastModified + interval 2 day ) as week_number
FROM `Purchase`
WHERE `OfferingID` =87
AND `Status`
IN ( 1, 4 )
group by year, week_number;