Daily count of Active Users for a given date range - mysql

I need to find the Daily total count of Active Users based on the Start Date and End Date.
REGISTRATION TABLE
id registration_no start_date end_date
1 1000 2014/12/01 2014/12/03
2 1001 2014/12/01 2014/12/03
3 1002 2014/12/02 2014/12/04
4 1003 2014/12/02 2014/12/04
5 1004 2014/12/02 2014/12/04
6 1005 2014/12/03 2014/12/05
7 1006 2014/12/05 2014/12/06
8 1007 2014/12/05 2014/12/09
9 1008 2014/12/06 2014/12/10
10 1009 2014/12/07 2014/12/11
The result should be in the following format.
Date Active Users
2014-12-01 2
2014-12-02 5
2014-12-03 6
2014-12-04 4
2014-12-05 3
2014-12-06 3
2014-12-07 3
2014-12-08 3
2014-12-09 3
2014-12-10 2
2014-12-11 1
2014-12-12 0
I know the following query is not working.
SELECT start_date, count(*) FROM registration
WHERE start_date >= '2014/12/01' AND end_date <='2014/12/12'
GROUP BY start_date
Which is not the desired output :
2014-12-01 2
2014-12-02 3
2014-12-03 1
2014-12-05 2
2014-12-06 1
2014-12-07 1
Any help would be much appreciated.

You need to create a "calendar" with all the days you need and then use a query like:
SELECT calDay as `Date`, count(id) as `Active Users`
FROM (SELECT cast('2014-12-01' + interval `day` day as date) calDay
FROM days31
WHERE cast('2014-12-01' + interval `day` day as date) < '2014-12-12') calendar
LEFT JOIN registration on (calDay between start_date and end_date)
GROUP BY calDay
ORDER BY calDay;
You can see it working in this fiddle, where days31 is just a view with integers 0-30. This allows the query to work in any calendar up to a period of 31 days. You can add more days to the view or generate them on the fly using cross joins. See http://www.artfulsoftware.com/infotree/qrytip.php?id=95

Try it.... please note on where condition FOR 2014-12-02, as per comment
SELECT DATE_FORMAT(start_date,'%Y-%m-%d')as Date, count(*) as ActiveUser FROM registration
WHERE (start_date >= '2014/12/02' AND end_date <='2014/12/02')
GROUP BY start_date

Related

Select from db and limit result to where datetime is the same

I have a datetime field in my db. Now i want to select upcoming dates from NOW() based on the dates. If two datetimes is the same I want to select them. And if it's only one I want to select that date. Limit is that I never want to select more than two rows.
So if NOW() is 2021-06-18 12:00:00 row number 1 should be selected.
If NOW() is 2021-06-20 18:15:00 row number 3 and 4 should be selected.
1 2021-06-19 18:00:00
2 2021-06-20 18:00:00
3 2021-06-21 15:00:00
4 2021-06-21 15:00:00
5 2021-06-21 18:00:00
6 2021-06-21 18:00:00
I've tried
SELECT gamedate
FROM games
WHERE gamedate > NOW()
ORDER BY gamedate LIMIT 0 , 1
but that doesn't make any sense or what I want to do.
Use a subquery to get the next gamedate. Then use that in the main query to select at most two rows with that date.
SELECT id, gamedate
FROM games AS g
WHERE gamemedate = (SELECT MIN(gamedate) FROM games WHERE gamedate > NOW())
ORDER BY id
LIMIT 2

Calculate MRR Kpi without monthly invoices

I am trying to calculate mrr for each month.
The DB table 'boxes' looks like this:
project_id
product_id
payment_method_id
price
interval
booked_at
canceled_at
1
1
3
19.00
1
2020-12-01 00:00:00
NULL
1
2
3
39.00
1
2020-05-01 00:00:00
2020-11-05 19:10:27
4
1
3
39.00
12
2020-05-01 00:00:00
2020-11-05 19:10:27
Payment-Interval is in months. I need to show in KPI dashboard the mrr.
Currently I have this query:
SELECT DATE_FORMAT(booked_at, '%Y-%m') AS period, sum(price)
FROM
project_boxes
GROUP BY period;
The problem with the above query is that it doesn't show between months MRR and doesn't work with canceled boxes.
What am I missing? Any help is appreciated.

Finding date where conditions within 30 days has elapsed

For my website, I have a loyalty program where a customer gets some goodies if they've spent $100 within the last 30 days. A query like below:
SELECT u.username, SUM(total-shipcost) as tot
FROM orders o
LEFT JOIN users u
ON u.userident = o.user
WHERE shipped = 1
AND user = :user
AND date >= DATE(NOW() - INTERVAL 30 DAY)
:user being their user ID. Column 2 of this result gives how much a customer has spent in the last 30 days, if it's over 100, then they get the bonus.
I want to display to the user which day they'll leave the loyalty program. Something like "x days until bonus expires", but how do I do this?
Take today's date, March 16th, and a user's order history:
id | tot | date
-----------------------
84 38 2016-03-05
76 21 2016-02-29
74 49 2016-02-20
61 42 2015-12-28
This user is part of the loyalty program now but leaves it on March 20th. What SQL could I do which returns how many days (4) a user has left on the loyalty program?
If the user then placed another order:
id | tot | date
-----------------------
87 12 2016-03-09
They're still in the loyalty program until the 20th, so the days remaining doesn't change in this instance, but if the total were 50 instead, then they instead leave the program on the 29th (so instead of 4 days it's 13 days remaining). For what it's worth, I care only about 30 days prior to the current date. No consideration for months with 28, 29, 31 days is needed.
Some create table code:
create table users (
userident int,
username varchar(100)
);
insert into users values
(1, 'Bob');
create table orders (
id int,
user int,
shipped int,
date date,
total decimal(6,2),
shipcost decimal(3,2)
);
insert into orders values
(84, 1, 1, '2016-03-05', 40.50, 2.50),
(76, 1, 1, '2016-02-29', 22.00, 1.00),
(74, 1, 1, '2016-02-20', 56.31, 7.31),
(61, 1, 1, '2015-12-28', 43.10, 1.10);
An example output of what I'm looking for is:
userident | username | days_left
--------------------------------
1 Bob 4
This is using March 16th as today for use with DATE(NOW()) to remain consistent with the previous bits of the question.
The following is basically how to do what you want. Note that references to "30 days" are rough estimates and what you may be looking for is "29 days" or "31 days" as works to get the exact date that you want.
Retrieve the list of dates and amounts that are still active, i.e., within the last 30 days (as you did in your example), as a table (I'll call it Active) like the one you showed.
Join that new table (Active) with the original table where a row from Active is joined to all of the rows of the original table using the date fields. Compute a total of the amounts from the original table. The new table would have a Date field from Active and a Totol field that is the sum of all the amounts in the joined records from the original table.
Select from the resulting table all records where the Amount is greater than 100.00 and create a new table with Date and the minimum Amount of those records.
Compute 30 days ahead from those dates to find the ending date of their loyalty program.
You would need to take the following steps (per user):
join the orders table with itself to calculate sums for different (bonus) starting dates, for any of the starting dates that are in the last 30 days
select from those records only those starting dates which yield a sum of 100 or more
select from those records only the one with the most recent starting date: this is the start of the bonus period for the selected user.
Here is a query to do that:
SELECT u.userident,
u.username,
MAX(base.date) AS bonus_start,
DATE(MAX(base.date) + INTERVAL 30 DAY) AS bonus_expiry,
30-DATEDIFF(NOW(), MAX(base.date)) AS bonus_days_left
FROM users u
LEFT JOIN (
SELECT o.user,
first.date AS date,
SUM(o.total-o.shipcost) as tot
FROM orders first
INNER JOIN orders o
ON o.user = first.user
AND o.shipped = 1
AND o.date >= first.date
WHERE first.shipped = 1
AND first.date >= DATE(NOW() - INTERVAL 30 DAY)
GROUP BY o.user,
first.date
HAVING SUM(o.total-o.shipcost) >= 100
) AS base
ON base.user = u.userident
GROUP BY u.username,
u.userident
Here is a fiddle.
With this input as orders:
+----+------+---------+------------+-------+----------+
| id | user | shipped | date | total | shipcost |
+----+------+---------+------------+-------+----------+
| 61 | 1 | 1 | 2015-12-28 | 42 | 0 |
| 74 | 1 | 1 | 2016-02-20 | 49 | 0 |
| 76 | 1 | 1 | 2016-02-29 | 21 | 0 |
| 84 | 1 | 1 | 2016-03-05 | 38 | 0 |
| 87 | 1 | 1 | 2016-03-09 | 50 | 0 |
+----+------+---------+------------+-------+----------+
The above query will return this output (when executed on 2016-03-20):
+-----------+----------+-------------+--------------+-----------------+
| userident | username | bonus_start | bonus_expiry | bonus_days_left |
+-----------+----------+-------------+--------------+-----------------+
| 1 | John | 2016-02-29 | 2016-03-30 | 10 |
+-----------+----------+-------------+--------------+-----------------+
Simple solution
Seeing how you do your first query, I guessed that when you are at the point where you look for the "expiration date", you already know that the user meets the 100 points over last 30 days. Then you can do this :
SELECT DATE_ADD(MIN(date),INTERVAL 30 DAY)
FROM orders o
WHERE shipped = 1
AND user = :user
AND date >= (DATE(NOW() - INTERVAL 30 DAY))
It takes the minimum order date of a user over the last 30 days, and add 30 days to the result.
But that really is a poor design to achieve what you want.
You would better to think further and implement what's next.
Advanced solution
In order to reproduce all the following solution, I have used the Fiddle that Trincot kindly built, and expanded it to test on more data : 4 users having 4 orders.
SQL FIddle http://sqlfiddle.com/#!9/668939/1
Step 1 : Design
The following query will return all the users meeting the loyalty program criteria, along with their earlier order date within 30 days and the loyalty program expiration date calculated from the earlier date, and the number of days before it expires.
SELECT O.user, u.username, SUM(total-shipcost) as tot, MIN(date) AS mindate,
DATE_ADD(MIN(date),INTERVAL 30 DAY) AS expirationdate,
DATEDIFF(DATE_ADD(MIN(date),INTERVAL 30 DAY), DATE(NOW())) AS daysleft
FROM orders o
LEFT JOIN users u
ON u.userident = o.user
WHERE shipped = 1
AND date >= DATE(NOW() - INTERVAL 30 DAY)
GROUP BY user
HAVING tot >= 100;
Now, create a VIEW with the above query
CREATE VIEW loyalty_program AS
SELECT O.user, u.username, SUM(total-shipcost) as tot, MIN(date) AS mindate,
DATE_ADD(MIN(date),INTERVAL 30 DAY) AS expirationdate,
DATEDIFF(DATE_ADD(MIN(date),INTERVAL 30 DAY), DATE(NOW())) AS daysleft
FROM orders o
LEFT JOIN users u
ON u.userident = o.user
WHERE shipped = 1
AND date >= DATE(NOW() - INTERVAL 30 DAY)
GROUP BY user
HAVING tot >= 100;
It is important to understand that this is only a one-shot action on your database.
Step 2 : Use your new VIEW
Once you have the view, you can get easily, for all users, the "state" of the loyalty program:
SELECT * FROM loyalty_program
user username tot mindate expirationdate daysleft
1 John 153 February, 28 2016 March, 29 2016 9
2 Joe 112 February, 24 2016 March, 25 2016 5
3 Jack 474 February, 23 2016 March, 24 2016 4
4 Averel 115 February, 22 2016 March, 23 2016 3
For a specific user, you can get the date you are looking for like this:
SELECT expirationdate FROM loyalty_program WHERE username='Joe'
You can also request all the users for which the expiration date is today
SELECT user FROM loyalty_program WHERE expirationdate=DATE(NOW))
But there are other easy possibilities that you'll discover after having played with your VIEW.
Conclusion
Make your life easier: learn to use VIEWS !
I am assuming your table looks like this:
user | id | total | date
-------------------------------
12 84 38 2016-03-05
12 76 21 2016-02-29
23 74 49 2016-02-20
23 61 42 2015-12-28
then try this:
SELECT x.user, x.date, x.id, x.cum_sum, d,date, DATEDIFF(NOW(), x.date) from (SELECT a.user, a.id, a.date, a.total,
(SELECT SUM(b.total) FROM order_table b WHERE b.date <= a.date and a.user=b.user ORDER BY b.user, b.id DESC) AS cum_sum FROM order_table a where a.date>=DATE(NOW() - INTERVAL 30 DAY) ORDER BY a.user, a.id DESC) as x
left join
(SELECT c.user, c.date as start_date, c.id from (SELECT a.user, a.id, a.date, a.total,
(SELECT SUM(b.total) FROM order_table b WHERE b.date <= a.date and a.user=b.user ORDER BY b.user, b.id DESC) AS cum_sum FROM order_table a where a.date>=DATE(NOW() - INTERVAL 30 DAY) ORDER BY a.user, a.id DESC) as c WHERE FLOOR(c.cum_sum/100)=MIN(FLOOR(c.cum_sum/100)) and MOD(c.cum_sum,100)=MAX(MOD(c.cum_sum,100)) group by concat(c.user, "_", c.id)) as d on concat(x.user, "_", x.id)=concat(d.user, "_", d.id) where x.date=d.date;
You will get a table something like this:
user | Date | cum_sum | start_date | Time_left
----------------------------------------------------
12 2016-03-05 423 2016-03-05 24
13 2016-02-29 525 2016-02-29 12
23 2016-02-20 944 2016-02-20 3
29 2015-12-28 154 2015-12-28 4
i have not tested this. But what i am trying to do is to create a table in descending order of id and user, and get a cumulative total column along with it. I have created another table by using this table with cumulative total, with relevant date (i.e. date from which date difference is to be calculated) for each user. I have left joined these two tables, and put in the condition x.date=d.date. I have put start_date and date in the table to check if the query is working.
Also, this is not the most optimum way of writing this code, but i have tried to stay as safe as possible by using sub queries, since i did not have the data to test this. Let me know if you face any error.

count and sum number of days in date ranges

I have the following table:
id | start_date | end_date | client_id
1 2013-08-01 2013-08-09 1
2 2013-08-10 2013-08-10 1
3 2013-08-10 2013-08-17 1
4 2013-08-18 2013-08-18 1
5 2013-08-18 2013-08-18 1
6 2013-08-18 2013-08-31 1
7 2013-08-01 2013-08-09 2
8 2013-08-11 2013-08-11 2
9 2013-08-11 2013-08-17 2
10 2013-08-19 2013-08-20 2
what I'm trying to do is count the number of days that each client was present without repeating the days for each client, so from the previous data I'm looking to get:
client_id | total_days
1 31
2 18
So for client 1 I get 31 because he was "present" for 31 days, from 8/1/2013 - 8/31/2013 with no gaps, and for client 2 I get 18 because he was present for 18 days:
8/1 - 8/9 = 9 days
8/11 - 8/17 = 7 days
8/19 - 8/20 = 2 days
is there anyway to achieve this in MySQL, I've been trying for a while but have no idea on how to do it.
This is the fiddle
If overlapping ranges exist, then I suggest building a driver table that is a list of dates, then JOIN to that table using BETWEEN:
SELECT a.Client_ID, COUNT(DISTINCT b.Date)
FROM YourTable a
JOIN Dates b
ON b.Date BETWEEN a.start_date AND a.end_date
GROUP BY a.Client_ID
Demo: SQL Fiddle
There are plenty of places to find calendar table logic, here's one.
If ranges never overlap then you can use SUM(DATEDIFF()).
If there are no overlapping ranges. You can use the following query:
SELECT Client_id,
Sum(DATEDIFF(End_date, Start_date)) AS `Present`
FROM TABLE
GROUP BY Client_id;
This will give you an overview of the number of days a client was present.

Not getting the right expected output for my Mysql Query?

I've 4 tables as shown below
doctors
id name
------------
1 Mathew
2 Praveen
3 Rosie
4 Arjun
5 Denis
doctors_appointments
id doctors_id patient_name contact date status
--------------------------------------------------------------------------------------
1 5 Nidhin 9876543210 2012-12-10 15:39:41 Registered
2 5 Sunny 9876543210 2012-12-18 15:39:48 Registered
3 5 Mani 9876543210 2012-12-12 15:39:57 Registered
4 2 John 9876543210 2012-12-24 15:40:09 Registered
5 4 Raj 9876543210 2012-12-05 15:41:57 Registered
6 3 Samuel 9876543210 2012-12-14 15:41:33 Registered
7 2 Louis 9876543210 2012-12-24 15:40:23 Registered
8 1 Federick 9876543210 2012-12-28 15:41:05 Registered
9 2 Sam 9876543210 2012-12-12 15:40:38 Registered
10 4 Sita 9876543210 2012-12-12 15:41:00 Registered
doctors_dutyplan
id doctor_id weeks time no_of_patients
------------------------------------------------------------------
1 1 3,6,7 9:00am-1:00pm 10
2 2 3,4,5 1:00pm-4:00pm 7
3 3 3,6,7 10:00am-2:00pm 10
4 4 3,4,5,6 8:30am-12:30pm 12
5 5 3,4,5,6,7 9:00am-4:00pm 30
emp_leave
id empid leavedate
--------------------------------
1 2 2012-12-05 14:42:36
2 2 2012-12-03 14:42:59
3 3 2012-12-03 14:43:06
4 3 2012-12-06 14:43:14
5 5 2012-12-04 14:43:24
My task is to find all the days in a month in which the doctor is available excluding the leave dates.
My query what is wrote is given below:
SELECT DATE_ADD( '2012-12-01', INTERVAL
ROW DAY ) AS Date,
ROW +1 AS DayOfMonth
FROM (
SELECT #row := #row +1 AS
ROW FROM (
SELECT 0
UNION ALL SELECT 1
UNION ALL SELECT 3
UNION ALL SELECT 4
UNION ALL SELECT 5
UNION ALL SELECT 6
)t1, (
SELECT 0
UNION ALL SELECT 1
UNION ALL SELECT 3
UNION ALL SELECT 4
UNION ALL SELECT 5
UNION ALL SELECT 6
)t2, (
SELECT #row := -1
)t3
LIMIT 31
)b
WHERE DATE_ADD( '2012-12-01', INTERVAL
ROW DAY )
BETWEEN '2012-12-01'
AND '2012-12-31'
AND DAYOFWEEK( DATE_ADD( '2012-12-01', INTERVAL
ROW DAY ) ) =2
AND DATE_ADD( '2012-12-01', INTERVAL
ROW DAY ) NOT
IN (
SELECT DATE_FORMAT( l.leavedate, '%Y-%m-%d' ) AS date
FROM doctors_dutyplan d
LEFT JOIN emp_leave AS l ON d.doctor_id = l.empid
WHERE doctor_id =2
)
This works fine for all doctors who took any leave in a particular day in a month (here in the example it is Decemeber 2012). and the result for the above query is shown below:
Date DayOfMonth
-----------------------
2012-12-10 10
2012-12-17 17
2012-12-24 24
2012-12-31 31
But on the other hand for the doctors who didn't took any leave , for that my query is showing empty table, example for the doctor Mathew whose id is 1, my query returns an empty result
can anyone please tell a solution for this problem.
Thanks in advance.
Your query is large, but this part looks fishy:
NOT IN (
SELECT DATE_FORMAT( l.leavedate, '%Y-%m-%d' ) AS date
FROM doctors_dutyplan d
LEFT JOIN emp_leave AS l ON d.doctor_id = l.empid
WHERE doctor_id =2
The left join means a null would be returned for doctor 1. Now, col1 not in (null) does not behave as you may expect. It translates to:
col1 <> null
Which is never true. You could solve this by changing the left join to an inner join, so an empty set instead of null is returned for a doctor without leave.