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 a table with few fields like id, country, ip, created_at. Then I am trying to get the deltas between total entry of one day and total entry of the next day.
CREATE TABLE session (
id int NOT NULL AUTO_INCREMENT,
country varchar(50) NOT NULL,
ip varchar(255),
created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (id)
);
INSERT INTO `session` (`id`, `country`, `ip`, `created_at`) VALUES
('1', 'IN', '10.100.102.11', '2021-04-05 20:26:02'),
('2', 'IN', '10.100.102.11', '2021-04-05 19:26:02'),
('3', 'US', '10.120.102.11', '2021-04-17 10:26:02'),
('4', 'US', '10.100.112.11', '2021-04-16 12:26:02'),
('5', 'AU', '10.100.102.122', '2021-04-12 19:36:02'),
('6', 'AU', '10.100.102.122', '2021-04-12 18:20:02'),
('7', 'AU', '10.100.102.122', '2021-04-12 23:26:02'),
('8', 'US', '10.100.102.2', '2021-04-16 21:33:01'),
('9', 'AU', '10.100.102.122', '2021-04-18 20:46:02'),
('10', 'AU', '10.100.102.111', '2021-04-04 13:19:12'),
('11', 'US', '10.100.112.11', '2021-04-16 12:26:02'),
('12', 'IN', '10.100.102.11', '2021-04-05 15:26:02'),
('13', 'IN', '10.100.102.11', '2021-04-05 19:26:02');
Now I have written this query to get the delta
SELECT T1.date1 as date, IFNULL(T1.cnt1-T2.cnt2, T1.cnt1) as delta from (
select TA.dateA as date1, MAX(TA.countA) as cnt1 from (
select DATE(created_at) AS dateA, COUNT(*) AS countA
FROM session
GROUP BY DATE(created_at)
UNION
select DISTINCT DATE(DATE(created_at)+1) AS dateA, 0 AS countA
FROM session
) as TA
group by TA.dateA
) as T1
LEFT OUTER JOIN (
select DATE(DATE(created_at)+1) AS date2,
COUNT(*) AS cnt2
FROM session
GROUP BY DATE(created_at)
) as T2
ON T1.date1=T2.date2
ORDER BY date;
http://sqlfiddle.com/#!9/4f5fd26/60
Then I am getting the results as
date delta
2021-04-04 1
2021-04-05 3
2021-04-06 -4
2021-04-12 3
2021-04-13 -3
2021-04-16 3
2021-04-17 -2
2021-04-18 0
2021-04-19 -1
Now, is there any place of improvements/optimizes on it with/or window functions? (I am zero with SQL, still playing around).
Try a shorter version
with grp as (
SELECT t.dateA, SUM(t.cnt) AS countA
FROM session,
LATERAL (
select DATE(created_at) AS dateA, 1 as cnt
union all
select DATE(DATE(created_at)+1), 0 as cnt
) t
GROUP BY dateA
)
select t1.dateA as date, IFNULL(t1.countA-t2.countA, t1.countA) as delta
from grp t1
left join grp t2 on DATE(t2.dateA + 1) = t1.dateA
order by t1.dateA
db<>fiddle
My Table structure is
id;product_id;sell_type;sell_state
sell_type: BUY, SELL
sell_state: OPEN, FILLED, CANCELED
How to select only product_id with each 2 operation, BUY & SELL in sell_type and FILLED in sell_state
CREATE TABLE `orderlist` (
`id` int(10) UNSIGNED NOT NULL,
`product_id` int(11) NOT NULL,
`sell_type` enum('BUY','SELL') DEFAULT NULL,
`sell_state` enum('OPEN','FILLED','CANCELED') DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
INSERT INTO `orderlist` (`id`, `product_id`, `sell_type`, `sell_state`) VALUES
(7, 1, 'BUY', 'FILLED'),
(8, 1, 'SELL', 'FILLED'),
(9, 2, 'BUY', 'FILLED'),
(10, 3, 'SELL', 'FILLED');
You could use a group by and count(distinct sell_state) = 2
select product_id
from orderlist
where sell_state ='FILLED'
and sell_type in ('BUY', 'SELL')
group by product_id
having count(distinct sell_type) = 2
http://sqlfiddle.com/#!9/c41301/2
try this select query
SELECT t1.*
FROM temp t1
INNER JOIN temp t2
ON t1.product_id = t2.product_id AND FIND_IN_SET('FILLED',t1.sell_state) > 0
WHERE FIND_IN_SET('BUY',t1.sell_type) > 0 AND
CONCAT(",", t2.sell_type, ",") REGEXP ",(BUY|SELL),"
GROUP BY t1.product_id
demo : http://sqlfiddle.com/#!9/7fcd9/64
try this
SELECT product_id
FROM orderlist
WHERE sell_state = 'FILLED' AND sell_type IN ('BUY','SELL')
GROUP BY product_id
HAVING COUNT(product_id) > 2
demo: http://sqlfiddle.com/#!9/464959/2
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 have the following query:
SELECT `users`.`id`, `login`, `fullname`, `active`, `sex`, `height`,
`special-title`, `language`, `body-fat`,
`main-photo-id`, `main-photo-offset`, `weight`,
`objective`, `level`, `config-comments-type`,
(
SELECT `type`
FROM `users-pro`
WHERE
(`user` = `users`.`id`)
AND
(`starts` <= $time)
AND(
(`ends` > $time)
OR
(`ends` IS NULL)
)
LIMIT 1
) as `account_type`
FROM `users`
I'm wondering how/where do I add an IF statement, so that if the inner SELECT returns NULL (no entries for the user in users-pro, a value 1 would be returned.
This is what I usually do if there is no subquery:
SELECT IF(`rank` = 1, `rank`, 0) as `rank`
However, I don't know how to do this with a subquery.
You can use the ANSI standard coalesce() function for this, by wrapping the subquery in it:
SELECT `users`.`id`, `login`, `fullname`, `active`, `sex`, `height`,
`special-title`, `language`, `body-fat`,
`main-photo-id`, `main-photo-offset`, `weight`,
`objective`, `level`, `config-comments-type`,
coalesce((
SELECT `type`
FROM `users-pro`
WHERE
(`user` = `users`.`id`)
AND
(`starts` <= $time)
AND(
(`ends` > $time)
OR
(`ends` IS NULL)
)
LIMIT 1
), 1) as `account_type`
FROM `users`