Related
The table I am using is like bellow:
CREATE TABLE IF NOT EXISTS `tickets` (
`id` int(6) unsigned NOT NULL,
`created` timestamp ,
`resolved` timestamp ,
PRIMARY KEY (`id`)
) DEFAULT CHARSET=utf8;
INSERT INTO `tickets` (`id`, `created`, `resolved`) VALUES
('1', '2021-01-01', '2021-01-12'),
('2', '2021-02-25', '2021-01-15'),
('3', '2021-03-10', '2021-03-22'),
('4', '2021-03-10', '2021-03-22'),
('5', '2021-03-10', '2021-03-22'),
('6', '2021-03-11', '2021-03-22'),
('7', '2021-03-13', '2021-03-22'),
('8', '2021-03-13', '2021-03-22'),
('9', '2021-04-01', '2021-03-12');
Now I want a query to show me the table with columns like
Month, NumberOfticketsCreated, NumberOfTicketsResolved.
Here is what I tried so far but it does not return what I expect:
SELECT
YEAR(`created`) AS y
, MONTH(`created`) AS m
, COUNT(`created`) as NumberOfticketsCreated
, count(`resolved`) as NumberOfTicketsResolved
FROM tickets
GROUP BY y, m;
Create table t1 with group by 'created'
Create table t2 with group by 'resolved'
then left join above two tables.
select t1.y, t1.m, t1.NumberOfticketsCreated, t2.NumberOfTicketsResolved
from
(SELECT
YEAR(`created`) AS y
, MONTH(`created`) AS m
, MONTH(`resolved`) AS n
, COUNT(`created`) as NumberOfticketsCreated
, count(`resolved`) as NumberOfTicketsResolved
FROM tickets
GROUP BY m) as t1
left join
(SELECT
YEAR(`created`) AS y
, MONTH(`created`) AS m
, MONTH(`resolved`) AS n
, COUNT(`created`) as NumberOdticketsCreated
, count(`resolved`) as NumberOfTicketsResolved
FROM tickets
GROUP BY n) as t2
on t1.m = t2.m
I have this table
CREATE TABLE `tarif` (
`tarif_id` int(11) NOT NULL AUTO_INCREMENT,
`start_tarif` date NOT NULL,
`end_tarif` date NOT NULL,
`day_tarif` varchar(50) NOT NULL,
PRIMARY KEY (`tarif_id`)
);
INSERT INTO `tarif` VALUES (1, '2019-02-01', '2019-02-10', '10'),
(2, '2019-02-11', '2019-02-20', '20'),
(3, '2019-02-21', '2019-02-28', '10'),
(4, '2019-03-01', '2019-02-10', '15');
How can I get day_tarif between 2019-02-05 and 2019-02-15 and calculate the sum = day_tarif * number of date betwwen 2019-02-05 and 2019-02-15
You can use the following solution using DATEDIFF:
SELECT SUM((DATEDIFF(LEAST(`end_tarif`, '2019-02-15'), GREATEST(`start_tarif`, '2019-02-05')) + 1) * `day_tarif`) AS sumCustom
FROM `tarif`
WHERE `end_tarif` >= '2019-02-05' AND `start_tarif` <= '2019-02-15'
demo on dbfiddle.uk
You can use the following solution using SUM and COUNT:
SELECT SUM(`day_tarif`) * COUNT(`tarif_id`)
FROM `tarif`
WHERE `end_tarif` >= '2019-02-05' AND `start_tarif` <= '2019-02-15'
select SUM(day_tarif) * COUNT(tarif_id)
from tarif
where end_date >= '2019-02-05' AND start_date <= '2019-02-15'
This question has been asked several times, or something like it. Be sure to search StackOverflow before asking a duplicate: SQL query to select dates between two dates
You can try following code:
WITH cte AS(
SELECT *
FROM tablename
WHERE end_tarif >= '2019-02-05' AND start_tarif <= '2019-02-15'
)
SELECT day_tarif, day_tarif * COUNT(tarif_id) AS 'SUM'
FROM cte
group by day_tarif;
I think this might be what you are after...
Declare #tarif as table (
tarif_id int NOT NULL ,
start_tarif date NOT NULL,
end_tarif date NOT NULL,
day_tarif varchar(50) NOT NULL
);
INSERT INTO #tarif VALUES (1, '2019-02-01', '2019-02-10', '10'),
(2, '2019-02-11', '2019-02-20', '20'),
(3, '2019-02-21', '2019-02-28', '10'),
(4, '2019-03-01', '2019-02-10', '15');
-- Declare parameters
Declare #paramstart date, #paramend date
Set #paramstart='2019-02-05'
Set #paramend='2019-02-15'
-- Set up loop
Declare #mincount int, #maxcount int, #myval int, #curstart date, #curend date,#curtarif int, #mytarif int
Set #mincount=(Select MIN(tarif_id) from #tarif where end_tarif >= '2019-02-05' AND start_tarif <= '2019-02-15')
Set #maxcount=(Select Max(tarif_id) from #tarif where end_tarif >= '2019-02-05' AND start_tarif <= '2019-02-15')
Set #mytarif=0
-- Do loop
WHile #mincount<=#maxcount
BEGIN
Set #curstart=(Select start_tarif from #tarif where tarif_id=#mincount)
Set #curend=(Select end_tarif from #tarif where tarif_id=#mincount)
Set #curtarif=(Select cast(day_tarif as int) from #tarif where tarif_id=#mincount)
IF #paramstart between #curstart and #curend
BEGIN
Set #mytarif=#mytarif+((DATEDIFF(day,#paramstart,#curend)+1) * #curtarif)
END
IF #paramend between #curstart and #curend
BEGIN
Set #mytarif=#mytarif+((DATEDIFF(day,#curstart,#paramend)+1) * #curtarif)
END
IF #paramstart not between #curstart and #curend and #paramend not between #curstart and #curend
BEGIN
Set #mytarif=#mytarif+((DATEDIFF(day,#curstart,#curend)+1) * #curtarif)
END
Set #mincount=#mincount+1
END
Select #mytarif as tarif
Try this!
select day_tarif , sum(day_tarif * count (*)) as sum
where start_tarif between '2019/02/05' and '2019/02/15' and end_tarif between '2019/02/05' and '2019/02/15'
group by day_tarif;
This question already has answers here:
How can I do a FULL OUTER JOIN in MySQL?
(15 answers)
Closed 4 years ago.
This is a following question to this one Join two tables with SUM and COUNT.
What I try to do is to have all values displayed as some are in history table and not in rota table or vice-versa (999 and 777)
So my tables are:
create table history (
code int(10) primary key,
PN varchar(10) not null,
Qty int(10) not null,
LOC_ID int(10));
insert into history values (1, 'T1', 1, 1);
insert into history values (2, 'A1', 2,2);
insert into history values (3, 'J1', 3,3);
insert into history values (4, 'A2', 1,4);
insert into history values (5, 'J2', 2,1);
insert into history values (6, 'A3', 3,2);
insert into history values (7, 'J3', 4,3);
insert into history values (8, 'T1', 5,4);
insert into history values (9, 'A1', 1,1);
insert into history values (10, '999', 3,2);
insert into history values (11, 'J2', 4,3);
insert into history values (12, 'A1', 3,4);
insert into history values (13, 'J2', 5,1);
create table rota (
code int(10) primary key,
PN varchar(10) not null,
SN varchar(10) not null,
LOC_ID int(10));
insert into rota values (1, 'T1', 't1a',1);
insert into rota values (2, 'A1', 'a1a',2);
insert into rota values (3, 'J1', 'j1a',3);
insert into rota values (4, 'A2', 'a2a',4);
insert into rota values (5, 'J2', 'j2a',1);
insert into rota values (6, 'A3', 'a3a',2);
insert into rota values (7, 'J3', 'j3a',3);
insert into rota values (8, '777', 't1b',4);
insert into rota values (9, 'A1', 'a1b',1);
insert into rota values (10, 'J2', 'j2b',2);
insert into rota values (11, 'J2', 'j2c',3);
insert into rota values (12, 'A1', 'a1c',4);
insert into rota values (13, 'J2', 'j2d',1);
insert into rota values (14, 'J2', 'j2e',2);
insert into rota values (15, 'J2', 'j2f',3);
create table loca (
code1 int(10) primary key,
LOC varchar(10) not null);
insert into loca values (1, 'AAA');
insert into loca values (2, 'BBB');
insert into loca values (3, 'CCC');
insert into loca values (4, 'DDD');
The code I have got is
select CASE WHEN a.pn IS NULL THEN b.pn ELSE a.pn END AS PN
, a.q
, b.c
, a.LOC_ID
, b.LOC_ID
from
(select
h.pn
, sum(qty) q
, h.LOC_ID
from
history h
group by h.pn, h.LOC_ID) a
RIGHT JOIN
(select
r.pn
, count(sn) c
, r.LOC_ID
from
rota r
group by r.pn, r.LOC_ID) b
on a.pn = b.pn WHERE a.LOC_ID = b.LOC_ID
order by a.pn;
The above code works great for all PN that are in both tables. The problem is for values that are specific to one of the tables. I can remove the WHERE clause from JOIN but it is not corect. The question is - how to get all PNs from history and rota where some of them are present i just one table. I had some luck with RIGHT JOIN but that did not cover unique values from the other table. Any one came across solution before?
Results shoud look like the following table
PN LOC_ID Count Qty
T1 1 1 1
A1 2 1 2
J1 3 1 3
A2 4 1 1
J2 1 2 2
A3 2 1 3
J3 3 1 4
777 4 1 NULL
A1 1 1 1
J2 2 2 NULL
J2 3 2 4
A1 4 1 3
J2 1 2 2
J2 2 2 NULL
J2 3 2 4
999 2 NULL 3
use another join and that is left and make them union
select t.PN,t.q,t.c,t.LOC_ID,t.LOC_ID_b from
(
select CASE WHEN a.pn IS NULL THEN b.pn ELSE a.pn END AS PN
, a.q
, b.c
, a.LOC_ID
, b.LOC_ID as LOC_ID_b
from
(select
h.pn
, sum(qty) q
, h.LOC_ID
from
history h
group by h.pn, h.LOC_ID) a
RIGHT JOIN
(select
r.pn
, count(sn) c
, r.LOC_ID
from
rota r
group by r.pn, r.LOC_ID) b
on a.pn = b.pn and a.LOC_ID = b.LOC_ID
) as t
union
select t2.PN,t2.q,t2.c,t2.LOC_ID,t2.LOC_ID_b from
(
select CASE WHEN a.pn IS NULL THEN b.pn ELSE a.pn END AS PN
, a.q
, b.c
, a.LOC_ID
, b.LOC_ID as LOC_ID_b
from
(select
h.pn
, sum(qty) q
, h.LOC_ID
from
history h
group by h.pn, h.LOC_ID) a
left JOIN
(select
r.pn
, count(sn) c
, r.LOC_ID
from
rota r
group by r.pn, r.LOC_ID
) b
on a.pn = b.pn and a.LOC_ID = b.LOC_ID
) t2
http://sqlfiddle.com/#!9/c20c81/20
I'm trying to create a list of students whose behaviour is statistically worst across each of our school's year groups.
We have a table named students.
We then have behavioural flags and alerts, plus sanctions.
However, different categories of flag/alert/sanction are deemed more serious than others. These are stored with labels in their respective _categories table, e.g. flag_categories and sanction_categories. The flag table will then have a column called Category_ID (alerts is a bit different as it's just a Type field with 'A', 'C', 'P' and 'S' values).
If I want to look at data which shows our highest-flagged students in a specific year group, I'd run this query:
SELECT
CONCAT(stu.Firstname, " ", stu.Surname) AS `Student`,
COUNT(f.ID) AS `Flags`
FROM `students` stu
LEFT JOIN `flags` f ON f.Student_ID = stu.id
WHERE stu.Year_Group = 9
GROUP BY stu.id
ORDER BY `Flags` DESC
LIMIT 0, 20
If I wanted to show our students with the most Crisis alerts in a specific year group, I'd run this query:
SELECT
CONCAT(stu.Firstname, " ", stu.Surname) AS `Student`,
COUNT(f.ID) AS `Flags`
FROM `students` stu
LEFT JOIN `flags` f ON f.Student_ID = stu.id
WHERE stu.Year_Group = 9
AND f.Category_ID = 10
GROUP BY stu.id
ORDER BY `Flags` DESC
LIMIT 0, 20
If I want to find how many Late or Mobile flags a student has, and perhaps add these together (with weightings), I can run the following query:
SELECT
CONCAT(stu.Firstname, " ", stu.Surname) AS `Student`,
SUM(CASE WHEN f.Category_ID = 10 THEN 1 ELSE 0 END) AS `Late Flags`,
SUM(CASE WHEN f.Category_ID = 12 THEN 2 ELSE 0 END) AS `Mobile Flags`,
## not sure about this line below... is there a nicer way of doing it? `Late Flags` isn't recognised as a field apparently
## so I can't just do ( `Late Flags` + `Mobile Flags` )
(SUM(CASE WHEN f.Category_ID = 10 THEN 1 ELSE 0 END) + SUM(CASE WHEN f.Category_ID = 12 THEN 2 ELSE 0 END)) AS `Points`
FROM `flags` f
LEFT JOIN `students` stu ON f.Student_ID = stu.id
WHERE stu.Year_Group = 9
GROUP BY stu.id
ORDER BY `Points` DESC
LIMIT 0, 20
What I don't understand is how I would do this across myriad tables. I need to be able to weight:
Late (flags, Category_ID = 10), Absconded (flags, Category_ID = 15) and Community flags (flags, Category_ID = 13) plus Safeguarding alerts (alerts, Type = 'S') are all worth 1 point
Behavioural flags (flags, Category_ID IN (1, 7, 8)) are worth 2 points
Process alerts (alerts, Type = 'P') and detention sanctions (sanctions, Category_ID = 1) are worth 3 points
So on and so forth. That's far from an exhaustive list but I've included enough variables to help me get my head round a multi-table weighted sum.
The outcome I'm looking for is just 2 columns - student's name and weighted points.
So, according to the bullet points above, if a student has received 2 Late flags (1 point each) and 1 Process alert (3 points), the output should just say Joe Bloggs and 5.
Can anyone help me to understand how I can get these weighted values from different tables into one SUM'd output for each student?
[edit] SQLFiddle here: http://sqlfiddle.com/#!9/449218/1/0
Note, I am not doing this for the bounty. Please give to someone else.
This could be done with a few LEFT JOINs of derived tables. Note you did not supply the sanctions table. But the below would appear to be well illustrative. So I created a temp table. It would seem to allow for maximum flexibility without overcomplicating a larger left join notion that might be hard to debug. Afterall, you said your real querying will be much more complicated than this. As such, build out the temp table structure more.
This loads a tmp table up with default 0's for the students in the "passed by parameter Student Year" to a stored procedure. Two updates are performed. Then selects for a result set.
Schema / Load:
create schema s38741386; -- create a test database
use s38741386;
CREATE TABLE `students` (
`id` int(11) PRIMARY KEY,
`Firstname` varchar(50) NOT NULL,
`Surname` varchar(50) NOT NULL,
`Year_Group` int(2) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
# STUDENT INSERTS
INSERT INTO `students`
(`id`, `Firstname`, `Surname`, `Year_Group`)
VALUES
(201, 'Student', 'A', 9),
(202, 'Student', 'B', 9),
(203, 'Student', 'C', 9),
(204, 'Student', 'D', 9),
(205, 'Student', 'E', 9);
CREATE TABLE `alert` (
`ID` int(11) PRIMARY KEY,
`Staff_ID` int(6) NOT NULL,
`Datetime_Raised` datetime NOT NULL,
`Room_Label` varchar(50) COLLATE utf8_unicode_ci DEFAULT NULL,
`Type` enum('A','C','P','Q','S') COLLATE utf8_unicode_ci NOT NULL COMMENT 'A=Absconded, C=Crisis, P=Process, Q=Quiet, S=Safeguarding',
`Details` text COLLATE utf8_unicode_ci,
`Responder` int(8) DEFAULT NULL,
`Datetime_Responded` datetime DEFAULT NULL,
`Room_ID` int(11) NOT NULL COMMENT 'will be linked to internal room id.',
`Status` varchar(1) COLLATE utf8_unicode_ci DEFAULT NULL COMMENT 'O:ngoing, R:esolved'
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
# ALERT INSERTS
INSERT INTO `alert`
(`ID`, `Staff_ID`, `Datetime_Raised`, `Room_Label`, `Type`, `Details`, `Responder`, `Datetime_Responded`, `Room_ID`, `Status`)
VALUES
(1, '101', '2016-08-04 00:00:00', NULL, 'P', NULL, '103', '2016-08-04 00:00:01', '15', 'R'),
(2, '102', '2016-08-04 00:00:00', NULL, 'P', NULL, '103', '2016-08-04 00:00:01', '15', 'R'),
(3, '102', '2016-08-04 00:00:00', NULL, 'P', NULL, '103', '2016-08-04 00:00:01', '15', 'R'),
(4, '101', '2016-08-04 00:00:00', NULL, 'P', NULL, '103', '2016-08-04 00:00:01', '15', 'R');
CREATE TABLE `alert_students` (
`ID` int(11) PRIMARY KEY,
`Alert_ID` int(6) NOT NULL,
`Student_ID` int(6) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
# ALERT_STUDENT INSERTS
INSERT INTO `alert_students`
(`ID`, `Alert_ID`, `Student_ID`)
VALUES
(1, '1', '201'),
(2, '1', '202'),
(3, '2', '201'),
(4, '3', '202'),
(5, '4', '203'),
(6, '5', '204');
CREATE TABLE `flags` (
`ID` int(11) PRIMARY KEY,
`Staff_ID` int(11) NOT NULL,
`Student_ID` int(11) NOT NULL,
`Datetime` datetime NOT NULL,
`Category_ID` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
# ALERT INSERTS
-- TRUNCATE TABLE flags;
INSERT INTO `flags`
(`ID`, `Staff_ID`, `Student_ID`, `Datetime`, `Category_ID`)
VALUES
(1, '101', '201', '2016-08-04 00:00:01', 10),
(2, '102', '202', '2016-08-04 00:00:02', 12),
(3, '102', '203', '2016-08-04 00:00:03', 10),
(4, '101', '204', '2016-08-04 00:00:04', 13),
(5, '102', '202', '2016-08-04 00:00:02', 12),
(6, '102', '203', '2016-08-04 00:00:03', 10),
(7, '101', '204', '2016-08-04 00:00:04', 13),
(8, '102', '202', '2016-08-04 00:00:02', 10),
(9, '102', '203', '2016-08-04 00:00:03', 10),
(10, '101', '204', '2016-08-04 00:00:04', 7),
(11, '101', '204', '2016-08-04 00:00:07', 8),
(12, '101', '204', '2016-08-04 00:00:08', 1),
(13, '101', '204', '2016-08-04 00:00:09', 8);
Stored Procedure:
DROP PROCEDURE IF EXISTS rptSM_by_year;
DELIMITER $$
CREATE PROCEDURE rptSM_by_year
( pSY INT -- parameter student year
)
BEGIN
DROP TEMPORARY TABLE IF EXISTS tmpStudentMetrics;
CREATE TEMPORARY TABLE tmpStudentMetrics
( `StudentId` int(11) PRIMARY KEY,
LateFP INT NOT NULL,
MobiFP INT NOT NULL,
AbscFP INT NOT NULL,
CommFP INT NOT NULL,
SafeAP INT NOT NULL,
BehaFP INT NOT NULL,
ProcAP INT NOT NULL
)ENGINE=InnoDB;
INSERT tmpStudentMetrics (StudentId,LateFP,MobiFP,AbscFP,CommFP,SafeAP,BehaFP,ProcAP)
SELECT id,0,0,0,0,0,0,0
FROM students
WHERE Year_Group = pSY;
UPDATE tmpStudentMetrics tmp
JOIN
( SELECT
stu.id,
SUM(CASE WHEN f.Category_ID = 10 THEN 1 ELSE 0 END) AS `LateFP`,
SUM(CASE WHEN f.Category_ID = 15 THEN 1 ELSE 0 END) AS `AbscFP`,
SUM(CASE WHEN f.Category_ID = 13 THEN 1 ELSE 0 END) AS `CommFP`,
SUM(CASE WHEN f.Category_ID = 12 THEN 2 ELSE 0 END) AS `MobiFP`,
SUM(CASE WHEN f.Category_ID IN (1,7,8) THEN 2 ELSE 0 END) AS `BehaFP`
FROM `flags` f
LEFT JOIN `students` stu ON f.Student_ID = stu.id
WHERE stu.Year_Group = pSY
GROUP BY stu.id
) xDerived
ON xDerived.id=tmp.StudentId
SET tmp.LateFP=xDerived.LateFP,
tmp.AbscFP=xDerived.AbscFP,
tmp.CommFP=xDerived.CommFP,
tmp.MobiFP=xDerived.MobiFP,
tmp.BehaFP=xDerived.BehaFP;
UPDATE tmpStudentMetrics tmp
JOIN
( SELECT
stu.id,
SUM(CASE WHEN a.Type = 'S' THEN 1 ELSE 0 END) AS `SafeAP`,
SUM(CASE WHEN a.Type = 'P' THEN 3 ELSE 0 END) AS `ProcAP`
FROM `alert_students` als
JOIN `alert` a
ON a.ID=als.Alert_ID
JOIN `students` stu
ON stu.id=als.Student_ID and stu.Year_Group = pSY
GROUP BY stu.id
) xDerived
ON xDerived.id=tmp.StudentId
SET tmp.SafeAP=xDerived.SafeAP,
tmp.ProcAP=xDerived.ProcAP;
-- SELECT * FROM tmpStudentMetrics; -- check detail
SELECT stu.id,
CONCAT(stu.Firstname, " ", stu.Surname) AS `Student`,
tmp.LateFP+tmp.MobiFP+tmp.AbscFP+tmp.CommFP+tmp.SafeAP+tmp.BehaFP+tmp.ProcAP AS `Points`
FROM `students` stu
JOIN tmpStudentMetrics tmp
ON tmp.StudentId=stu.id
WHERE stu.`Year_Group` = pSY
ORDER BY stu.id;
-- SELECT * FROM tmpStudentMetrics; -- check detail
DROP TEMPORARY TABLE IF EXISTS tmpStudentMetrics;
-- TEMP TABLES are connection based. Explicityly dropped above for safety when done.
-- Depends on your connection type and life-span otherwise.
END$$
DELIMITER ;
Test:
call rptSM_by_year(9);
+-----+-----------+--------+
| id | Student | Points |
+-----+-----------+--------+
| 201 | Student A | 7 |
| 202 | Student B | 11 |
| 203 | Student C | 6 |
| 204 | Student D | 10 |
| 205 | Student E | 0 |
+-----+-----------+--------+
Cleanup:
drop schema s38741386; -- drop the test database
Think all you have asked can be done with a subquery and a couple of sub-SELECTs:
SELECT `Student`,
`Late Flags` * 1
+ `Absconded Flags` * 1
+ `Community Flags` * 1
+ `Safeguarding Alerts Flags` * 1
+ `Behavioural flags` * 2
+ `Process Alerts Flags` * 3 AS `Total Points`
FROM
(
SELECT
CONCAT(stu.Firstname, " ", stu.Surname) AS `Student`,
SUM(CASE WHEN f.Category_ID = 10 THEN 1 ELSE 0 END) AS `Late Flags`,
SUM(CASE WHEN f.Category_ID = 12 THEN 1 ELSE 0 END) AS `Mobile Flags`,
SUM(CASE WHEN f.Category_ID = 15 THEN 1 ELSE 0 END) AS `Absconded Flags`,
SUM(CASE WHEN f.Category_ID = 13 THEN 1 ELSE 0 END) AS `Community Flags`,
(SELECT COUNT(*) FROM `alert` a JOIN `alert_students` ast ON ast.`Alert_ID` = a.`ID`
WHERE ast.`Student_ID` = stu.`id` AND a.`Type` = 'S') AS `Safeguarding Alerts Flags`,
SUM(CASE WHEN f.Category_ID IN (1, 7, 8) THEN 1 ELSE 0 END) AS `Behavioural flags`,
(SELECT COUNT(*) FROM `alert` a JOIN `alert_students` ast ON ast.`Alert_ID` = a.`ID`
WHERE ast.`Student_ID` = stu.`id` AND a.`Type` = 'P') AS `Process Alerts Flags`
FROM `students` stu
LEFT JOIN `flags` f ON f.Student_ID = stu.id
WHERE stu.Year_Group = 9
GROUP BY stu.id
LIMIT 0, 20
) subq
ORDER BY `Total Points` DESC;
The above query includes everything you mentioned apart from sanctions (as your original SQL Fiddle demo didn't include this table).
Demo
An updated fiddle with the above query is here: http://sqlfiddle.com/#!9/449218/39.
You could use union all
Basically you create all your individual queries for each table and connect them all together using union all.
Here is an example, I used your student table twice but you would change the second one to what ever other table you want. SQLFiddle
You can do it with LEFT JOINS:
SELECT CONCAT(stu.firstname,' ', stu.surname) student,
COALESCE(f_group.weight_sum,0) + COALESCE(a_group.weight_sum,0) + COALESCE(s_group.weight_sum,0) points
FROM students stu
LEFT JOIN (
SELECT s_f.id, SUM(f.category_id IN (10,13,15) + 2 * f.category_id IN (1,7,8)) weight_sum
FROM students s_f
JOIN flags f
ON f.student_id = s_f.id
AND f.category_id IN (1,7,8,10,13,15)
WHERE s_f.year_group = :year_group
GROUP BY s_f.id
) f_group
LEFT JOIN (
SELECT s_a.id, 3 * COUNT(*) weight_sum
FROM students s_a
JOIN alerts a
ON a.student_id = s_a.id
AND a.type = 'P'
WHERE s_a.year_group = :year_group
GROUP BY s_a.id
) a_group
LEFT JOIN (
SELECT s_s.id, COUNT(*) weight_sum
FROM students s_s
JOIN sanctions s
ON s.student_id = s_s.id
AND s.category_id = 1
WHERE s_s.year_group = :year_group
GROUP BY s_s.id
) s_group
WHERE stu.year_group = :year_group
ORDER BY points DESC
LIMIT 0, 20
BUT if you have full access to the DB I'd be putting those weights in the respective categories and types, which will simplify the logic.
I am resolving dependency between some objects in a table.
I have to do something with objects in order their dependency.
For example, the first object doesn't depend on any object. The second and third ones depends on first one and so on. I have to use topological sorting.
Could someone show the sample of implementation so sorting in t-sql.
I have a table:
create table dependency
(
DependencyId PK
,ObjectId
,ObjectName
,DependsOnObjectId
)
I want to get
ObjectId
ObjectName
SortOrder
Thank you.
It seams, it works:
declare #step_no int
declare #dependency table
(
DependencyId int
,ObjectId int
,ObjectName varchar(100)
,DependsOnObjectId int
,[rank] int NULL
,degree int NULL
);
insert into #dependency values (5, 5, 'Obj 5', 2, NULL, NULL)
insert into #dependency values (6, 6, 'Obj 6', 7, NULL, NULL)
insert into #dependency values (2, 2, 'Obj 2', 1, NULL, NULL)
insert into #dependency values (3, 3, 'Obj 3', 1, NULL, NULL)
insert into #dependency values (1, 1, 'Obj 1', 1, NULL, NULL)
insert into #dependency values (4, 4, 'Obj 4', 2, NULL, NULL)
insert into #dependency values (7, 7, 'Obj 7', 2, NULL, NULL)
update #dependency set rank = 0
-- computing the degree of the nodes
update d set d.degree =
(
select count(*) from #dependency t
where t.DependsOnObjectId = d.ObjectId
and t.ObjectId <> t.DependsOnObjectId
)
from #dependency d
set #step_no = 1
while 1 = 1
begin
update #dependency set rank = #step_no where degree = 0
if (##rowcount = 0) break
update #dependency set degree = NULL where rank = #step_no
update d set degree = (
select count(*) from #dependency t
where t.DependsOnObjectId = d.ObjectId and t.ObjectId != t.DependsOnObjectId
and t.ObjectId in (select tt.ObjectId from #dependency tt where tt.rank = 0))
from #dependency d
where d.degree is not null
set #step_no = #step_no + 1
end
select * from #dependency order by rank
You have a simple tree structure with only one path to each ObjectId so labeling based off number of DependsOnObjectId links traversed gives only one answer and a good enough answer to process the right stuff first. This is easy to do with a common table expression and has the benefit of easy portability:
with dependency_levels as
(
select ObjectId, ObjectName, 0 as links_traversed
from dependency where DependsOnObjectId is null
union all
select ObjectId, ObjectName, links_traversed+1
from dependecy
join dependency_levels on dependency.DependsOnObjectId = dependency_levels.ObjectId
)
select ObjectId, ObjectName, links_traversed
from dependency_levels
order by links_traversed