Select rows from last existing 12 months - mysql

There's a DATETIME column called time. How could I select all rows that fall within the last existing 12 months (NOT within the last year from today)? Not every month might have a row, and months may have more than one row.
For example, out of this table (ORDER BY time DESC), rows with ids 2 to 17 would be selected.
id time
-- ----
17 2015-04-01
16 2015-04-01
15 2015-03-01
14 2015-02-01
13 2015-01-01
12 2014-12-01
11 2014-11-01
10 2014-10-01
9 2013-12-01
8 2013-11-01
7 2013-10-01
6 2013-09-01
5 2013-09-01
4 2013-09-01
3 2013-09-01
2 2013-08-01
1 2013-07-01
Another way to put this:
Take the table above and group by month/year, so we get:
2015-04
2015-03
2015-02
2015-01
2014-12
2014-11
2014-10
2013-12
2013-11
2013-10
2013-09
2013-08
2013-07
Now take the 12 most recent months from this list, which is everything except 2013-07.
2015-04
2015-03
2015-02
2015-01
2014-12
2014-11
2014-10
2013-12
2013-11
2013-10
2013-09
2013-08
And select everything from those months.
I guess I could do this with multiple queries or subqueries but is there another way to do this?

If your time field is only month-precision, you could do it with a pretty simple subselect:
SELECT * FROM Table t1
WHERE time IN (
SELECT DISTINCT time FROM Table t2 ORDER BY time DESC LIMIT 12
)
If your timestamps are full-precision, you could do the same thing, but you'd need to do some date manipulation to round the dates to the month for comparison.

Related

Select query that outputs counts of rows that are within a certain time period

My question is little bit more complicated than what the title implies but here it is:
I have a table with punch data formatted like this:
name time_in time_out location
1 2018-05-31 10:09:00 2018-05-31 16:06:00 1
3 2018-05-31 10:12:00 2018-05-31 17:03:00 1
I would like a select query that returns the total time in hours of people that are working during a 15min time frame for each location. Here is an example output for the two rows given:
time labor_hours location
2018-05-31 10:00:00 .15 1
2018-05-31 10:15:00 .50 1
2018-05-31 10:30:00 .50 1
2018-05-31 10:45:00 .50 1
2018-05-31 11:00:00 .50 1
...
2018-05-31 15:45:00 .50 1
2018-05-31 16:00:00 .35 1
2018-05-31 16:15:00 .25 1
2018-05-31 16:30:00 .25 1
2018-05-31 16:45:00 .25 1
2018-05-31 17:00:00 .10 1
Labor hours is total hours worked during a 15min time period in hours. So for example, the first row was calculated by looking at the first two rows and seeing that from 10:00:00 - 10:15:00 employee 1 and 2 worked for a total of 9 minutes. Since it's in hours 9/60 = .15.
I'm new to sql so I'm pretty lost on how to start with this.
If you are using MySQL 8.0, you can use the CTE feature as follows
WITH cte (timeStamp) AS
(
SELECT "2018-05-31 00:00:00"
UNION ALL
SELECT TIMESTAMPADD(MINUTE, 15, timeStamp)
WHERE timeStamp < 2018-06-01 00:00:00
)
SELECT timeStamp FROM cte;
SELECT cte.time,
sum(TIMESTAMPDIFF(MINUTE, punch.time,
TIMESTAMPAD(MINUTE, 15, cte.timeStamp))) as labour_hours,
punch.location
FROM cte LEFT OUTER JOIN punch ON punch.time >=cte.timeStamp
AND punch.time < TIMESTAMPADD(MINUTE, 15, cte.timeStamp)
GROUP BY punch.location, cte.timeStamp
If you are using an older version of MySQL, you need to create a stored procedure that generates the timestamps with 15 minute intervals.

SQL joining on two columns with a variation on the first column

I have two tables:
Table 1: planA
ID Date Count
3 2017-01-01 10
2 2017-02-03 15
10 2017-01-30 8
Table 2: planB
ID Date Value
3 2017-01-02 11
2 2017-02-04 12
21 2017-01-30 3
3 2017-02-03 33
What I want to do is to join the two tables on (ID and Date) columns.
However, on Date, I want to use the next day to the date on the table 1.
Therefore, the joined table should look like the following:
PlanA.ID PlanA.Date PlanB.Date PlanA.Count PlanB.Value
3 2017-01-01 2017-01-02 10 11
2 2017-02-03 2017-02-04 15 12
Is this even possible?
Any suggestion would be appreciated!
Yes it is possible:
select
PlanA.ID,
PlanA.Date,
PlanB.Date,
PlanA.Count,
PlanB.Value
from
PlanA inner join PlanB
on (
PlanA.ID = PlanB.ID
and
PlanA.Date + INTERVAL 1 DAY = PlanB.Date
)
if Date is a column of type date, + INTERVAL 1 DAY will return the next day of the one given, and then you can perform the join.

How to create a SQL query that calculate monthly grow in population

I want to create a SQL query that count the number of babies born in month A, then it should count the babies born in month B but the second record should have the sum of month A plus B. For example;
Month | Number
--------|---------
Jan | 5
Feb | 7 <- Here were 2 babies born but it have the 5 of the previous month added
Mar | 13 <- Here were 6 babies born but it have the 7 of the two previous months added
Can somebody maybe please help me with this, is it possible to do something like this?
I have a straight forward table with babyID, BirthDate, etc.
Thank you very much
Consider using a subquery that calculates a running count. Both inner and outer query would be aggregate group by queries:
Using the following sample data:
babyID Birthdate
1 2015-01-01
2 2015-01-15
3 2015-01-20
4 2015-02-01
5 2015-02-03
6 2015-02-21
7 2015-03-11
8 2015-03-21
9 2015-03-27
10 2015-03-30
11 2015-03-31
SQL Query
SELECT MonthName(BirthDate) As BirthMonth, Count(*) As BabyCount,
(SELECT Count(*) FROM BabyTable t2
WHERE Month(t2.BirthDate) <= Month(BabyTable.BirthDate)) As RunningCount
FROM BabyTable
GROUP BY Month(BirthDate)
Output
BirthMonth BabyCount RunningCount
January 3 3
February 3 6
March 5 11

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.

Sum of overlap durations for each combination of 2 foreign keys in MySQL

i have a database with workers, stations and session. A session describes at which time which worker has been on which station. I managed to build a query that gives me the duration of the overlap of each session.
SELECT
sA.station_id,
sA.worker_id AS worker1,
sB.worker_id AS worker2,
SEC_TO_TIME(
TIME_TO_SEC(LEAST(sA.end,sB.end)) - TIME_TO_SEC(GREATEST(sA.start,sB.start))
) AS overlap
FROM
`sessions` AS sA,
`sessions` AS sB
WHERE
sA.station_id = sb.station_id
AND
sA.station_id = 6
AND (
sA.start BETWEEN sB.start AND sB.end
OR
sA.end BETWEEN sB.start AND sB.end
)
With this query i get an result like this
station_id worker1 worker2 overlap
6 1 1 09:00:00
6 2 1 02:30:00
6 5 1 00:00:00
6 1 1 09:00:00
6 2 1 01:30:00
6 3 1 09:00:00
...
6 12 3 02:00:00
6 14 3 01:00:00
6 17 3 02:00:00
...
What i would like now is to sum up the overlap for every combination of worker1 and worker2 to get the overall overlap duration.
I tried different ways of using SUM() and GROUP BY but i never got the wanted result.
SELECT
...
SEC_TO_TIME(
**SUM**(TIME_TO_SEC(LEAST(sA.end,sB.end)) - TIME_TO_SEC(GREATEST(sA.start,sB.start)))
) AS overlap
...
#has as result
station_id worker1 worker2 overlap
6 1 1 838:59:59
#in combination with
GROUP BY
worker1
#i get
station_id worker1 worker2 overlap
6 1 1 532:30:00
6 2 1 -33:00:00
6 3 1 270:30:00
6 5 1 598:30:00
6 6 1 542:00:00
6 7 1 508:00:00
6 8 5 53:00:00
6 9 1 54:30:00
6 10 1 310:00:00
6 11 1 -108:00:00
6 12 1 593:30:00
6 14 1 97:30:00
6 15 1 -53:30:00
6 17 1 293:30:00
the last result is close but i am still missing a lot of combinations. I also dont understand why the combination 8 - 5 is displayed.
thanks for ur help (and time to read)
aaargh, sorry for my stupidity, the solution was fairly simple
....
SUM(((UNIX_TIMESTAMP(LEAST(sA.end,sB.end))-UNIX_TIMESTAMP(GREATEST(sA.start,sB.start)))/3600))
...
GROUP BY station_id, worker1, worker2
ORDER BY worker1, worker2
i switched to using timestamps and transforming it to hours by /3600 because my former used approach with TIME_TO_SEC and SEC_TO_TIME only used the TIME part of the DATETIME field and thereby produced some wrong numbers. With MySQL 5.5 i could use TO_SECONDS but unfortunately my server is still runing 5.1.