Related
A relevant part of my db looks as follows (MS Visio, I know I'm pathetic :D):
I need to extract a list consisting of all items in a category as well as bundles. So I have to use UNION. First part of a UNION for your reference (as it sets the data format for the SELECT in the second part of UNION; note that ? signifies where an argument goes in node-mysql):
SELECT `ID`, `Name`, `Description`,
`PictureID`, `SellingPrice`,
`Cost`, 0 AS `Bundle`
FROM `Item`
WHERE `CategoryID`=? AND
`ID` IN (
SELECT `ItemID`
FROM `Stock`
WHERE `CityID`=?
AND `IsLimitless`=1 OR `Quantity`>0
)
So I want to present my Bundles as if they are also items, with all same fields etc.
My attempt:
SELECT `ID`, `Name`, `Description`, `PictureID`,
(
SELECT SUM( // Here SQL indicates a syntax problem
SELECT `ItemAmount`*`PriceModifier`*(
SELECT `SellingPrice`
FROM `Item`
WHERE `ID`=`BundleItem`.`ItemID`
)
FROM `BundleItem` WHERE `BundleID`=`Bundle`.`ID`
)
) AS `SellingPrice`,
(
SELECT SUM(
SELECT `ItemAmount`*(
SELECT `Cost`
FROM `Item`
WHERE `ID`=`BundleItem`.`ItemID`
)
FROM `BundleItem` WHERE `BundleID`=`Bundle`.`ID`
)
) AS `Cost`,
1 AS `Bundle`
FROM `Bundle`
WHERE `ID` IN (
SELECT `BundleID`
FROM `BundleCategory`
WHERE `CategoryID`=?
)
//No need to check bundles for stock due to business logic
I have a faint idea that I'm overcomplicating this, but I can't put my finger on it, unfortunately.
Any advise will be very welcome and thanks in advance for taking your time. <3
Sample data:
Fields of no interest like "Description"/"PictureID"/"SupplierID" will be omitted
for the relevant parts to fit on screen
**Bundle**
ID Name Description PictureID
1 Valentine Pack Blah-blah tasty buy me imgur link in text
**Item**
ID Name SellingPrice Cost CategoryID
1 Movie Ticket 10 2 24
2 Box of Chocolates 5 1 4
3 Teddy Bear 15 3 2
4 Roses 10 4 8
**Stock**
ItemID CityID Quantity IsLimitLess
1 1 25 false
1 2 11 false
2 1 84 false
3 1 33 false
4 1 1 true
4 3 1 true
**BundleItem**
BundleID ItemID ItemAmount PriceModifier
1 1 2 1.25
1 2 1 1
1 3 1 1
1 4 5 0.75
**BundleCategory** (bundle for marketing reasons can appear in different
categories depending on its contents)
BundleID CategoryID
1 4 //Sweets
1 2 //Toys
1 8 //Flowers
Desired output: (For searching CityID 1, CategoryID 8, Flowers)
ID Name (Descr/PicID) SellingPrice Cost Bundle
4 Roses 10 4 false
1 Valentine Pack 82.5 28 true
/*2*10*1.25+ 2*2+ <movie
1*1*5+ 1*1+ <chocolate
1*1*15+ 3*1+ <teddy bear
5*0.75*10 5*4 <roses */
User suggested solutions
As per #drakin8564 's suggestion I tried doing
SELECT `ID`, `Name`, `Description`, `PictureID`,
(
SELECT SUM((
SELECT `ItemAmount`*`PriceModifier`*(
SELECT `SellingPrice`
FROM `Item`
WHERE `ID`=`BundleItem`.`ItemID`
)
FROM `BundleItem` WHERE `BundleID`=`Bundle`.`ID`
))
) AS `SellingPrice`,
(
SELECT SUM((
SELECT `ItemAmount`*(
SELECT `Cost`
FROM `Item`
WHERE `ID`=`BundleItem`.`ItemID`
)
FROM `BundleItem` WHERE `BundleID`=`Bundle`.`ID`
))
) AS `Cost`,
1 AS `Bundle`
FROM `Bundle`
WHERE `ID` IN (
SELECT `BundleID`
FROM `BundleCategory`
WHERE `CategoryID`=8
)
Returns
(1242): Subquery returns more than 1 row.
This happens even when I try SELECT SUM((SELECT ID FROM Item)). Weird.
I commented on other solutions about how good they work. I appreciate all you guys taking part in this. <3
It looks like you had a few syntax issues. Your code worked with a few changes. See comments in query for details.
http://sqlfiddle.com/#!9/ee0725/16
SELECT `ID`, `Name`, `Description`, `PictureID`,
(SELECT SUM(`ItemAmount`*`PriceModifier`*( -- changed order of SELECT and SUM; removed extra SELECT; fixed Parens
SELECT `SellingPrice`
FROM `Item`
WHERE `ID`=`BundleItem`.`ItemID`
))
FROM `BundleItem` WHERE `BundleID`=`Bundle`.`ID`)
AS `SellingPrice`,
(SELECT SUM(`ItemAmount`*( -- changed order of SELECT and SUM; removed extra SELECT; fixed Parens
SELECT `Cost`
FROM `Item`
WHERE `ID`=`BundleItem`.`ItemID`
))
FROM `BundleItem` WHERE `BundleID`=`Bundle`.`ID`)
AS `Cost`,
1 AS `Bundle`
FROM `Bundle`
WHERE `ID` IN (
SELECT `BundleID`
FROM `BundleCategory`
WHERE `CategoryID`=8
);
Something like this should work
SELECT tb.`ID`, MAX(tb.`Name`), MAX(tb.`Description`), MAX(tb.`PictureID`),
SUM(`ItemAmount`*`PriceModifier`*`SellingPrice`) AS `SellingPrice`,
SUM(`ItemAmount`*`Cost`) AS `Cost`,
1 AS `Bundle`
FROM `Bundle` tb
JOIN `BundleItem` tbi on tb.ID=tbi.BundleID
JOIN `Item` ti on tbi.ItemID=ti.ID
WHERE tb.`ID` IN (
SELECT `BundleID`
FROM `BundleCategory`
WHERE `CategoryID`=?
)
GROUP BY tb.ID
//No need to check bundles for stock due to business logic
Your syntax error is because your subquery is not wrapped in (). Examples below.
This will fail:
SELECT SUM(SELECT 1);
This will work:
SELECT SUM((SELECT 1));
Assumption #1: All items must have enough stock in a city for a bundle to be available in that city. (See query comments for how to remove this business rule)
In the sample data, there are no bundles that are fully in stock in any cities - to remedy this, I changed the Quanity for ItemID=4 in CityID=1 from "1" to "5". This created your desired output.
Assumption #2: Stock.Quantity=0 is allowed.
This solution produces query results that contain all Items and Bundles for every City and Category where the Item or Bundle is in stock. The where clause at the bottom filters it to CityID=1 and Category=8 per the original request.
Note: You can paste the Solution and Schema below into www.sqlfiddle.com and see the results.
UPDATE
Fixed BundleCategory join.
Solution
select * from (
select
Stock.CityID,
Item.CategoryID,
Item.ID,
Item.Name,
Item.Description,
Item.SellingPrice,
Item.Cost,
'false' as Bundle
from Item
inner join Stock on Stock.ItemID = Item.ID
where IFNULL(Stock.Quantity,0) > 0 -- remove this to show out of stock items
union
select
BundleSummary.CityID,
BundleCategory.CategoryID,
Bundle.ID,
Bundle.Name,
Bundle.Description,
BundleSummary.SellingPrice as SellingPrice,
BundleSummary.Cost as Cost,
'true' as Bundle
from Bundle
inner join (
select
BundleItem.BundleID,
City.CityID,
MIN(IF(IFNULL(Stock.Quantity, 0) < BundleItem.ItemAmount, 0, 1)) as InStock,
SUM(Item.SellingPrice * BundleItem.ItemAmount * BundleItem.PriceModifier) as SellingPrice,
SUM(Item.Cost * BundleItem.ItemAmount) as Cost
from BundleItem
inner join Item on Item.ID = BundleItem.ItemID
inner join (select distinct CityID from Stock where CityID IS NOT NULL) as City on 1=1
left join Stock on Stock.ItemID = Item.ID and Stock.CityID = City.CityID
group by BundleItem.BundleID, City.CityID
) as BundleSummary on BundleSummary.BundleID = Bundle.ID
inner join BundleCategory on BundleCategory.BundleID = Bundle.ID
where BundleSummary.InStock = 1 -- remove this to show out of stock bundles
) as qry1
where CityID=1 and CategoryID=8;
I also generated a script to create the database schema and populate it with the sample data. Thought this might be helpful to anyone who is using this solution to investigate their own issues.
Schema
create table Item (
ID int,
Name varchar(255),
Description varchar(255),
PictureID int,
SellingPrice DECIMAL(12,4),
Cost DECIMAL(12,4),
SupplierID int,
CategoryID int
);
insert into Item values (1, 'Movie Ticket', '', NULL, 10, 2, NULL, 24);
insert into Item values (2, 'Box of Chocolates', '', NULL, 5, 1, NULL, 4);
insert into Item values (3, 'Teddy Bear', '', NULL, 15, 3, NULL, 2);
insert into Item values (4, 'Roses', '', NULL, 10, 4, NULL, 8);
create table Bundle (
ID int,
Name varchar(255),
Description varchar(255),
PictureID int
);
insert into Bundle values (1, 'Valentine Pack', 'Blah-blah tasty buy me', NULL);
create table Stock (
ItemID int,
CityID int,
Quantity int,
IsLimitless bit
);
insert into Stock values (1, 1, 25, false);
insert into Stock values (1, 2, 11, false);
insert into Stock values (2, 1, 84, false);
insert into Stock values (3, 1, 33, false);
insert into Stock values (4, 1, 5, true);
insert into Stock values (4, 3, 1, true);
create table BundleItem (
BundleID int,
ItemID int,
ItemAmount int,
PriceModifier DECIMAL(12,4)
);
insert into BundleItem values (1, 1, 2, 1.25);
insert into BundleItem values (1, 2, 1, 1);
insert into BundleItem values (1, 3, 1, 1);
insert into BundleItem values (1, 4, 5, 0.75);
create table BundleCategory (
BundleID int,
CategoryID int
);
insert into BundleCategory values (1, 4); -- Sweets
insert into BundleCategory values (1, 2); -- Toys
insert into BundleCategory values (1, 8); -- Flowers
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 tables:
CREATE TABLE IF NOT EXISTS `category` (
`id` int(11) NOT NULL,
`name` varchar(255) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
INSERT INTO `category` (`id`, `name`) VALUES
(1, 'Computers'),
(2, 'Bikes');
CREATE TABLE IF NOT EXISTS `fields` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`field_name` varchar(255) DEFAULT NULL,
`cid` text NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=4 ;
INSERT INTO `fields` (`id`, `field_name`, `cid`) VALUES
(1, 'Processor', '1'),
(2, 'Display', '1'),
(3, 'Brand', '2');
CREATE TABLE IF NOT EXISTS `fields_values` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`field_id` int(11) DEFAULT NULL,
`field_value` varchar(255) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=7 ;
INSERT INTO `fields_values` (`id`, `field_id`, `field_value`) VALUES
(1, 1, 'Intel Pentium 3'),
(2, 2, '27 inch'),
(3, 3, 'BMX'),
(4, 1, 'AMD Radeon'),
(5, 1, 'Intel Atom'),
(6, 2, '22 inch');
CREATE TABLE IF NOT EXISTS `products` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(255) NOT NULL,
`cid` text NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 AUTO_INCREMENT=6 ;
INSERT INTO `products` (`id`, `name`, `cid`) VALUES
(1, 'Computer1', 1),
(2, 'Bike1.BMX', 2),
(3, 'Bike3', 2),
(4, 'Intel Atom', 1),
(5, 'Computer Radeon', 1);
CREATE TABLE IF NOT EXISTS `products_to_fields_values` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`product_id` int(11) DEFAULT NULL,
`field_value_id` int(11) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=5 ;
INSERT INTO `products_to_fields_values` (`id`, `product_id`, `field_value_id`) VALUES
(1, 1, 1),
(2, 2, 3),
(3, 1, 2),
(4, 4, 5);
My request looks like:
SELECT ft.id field_id, ft.field_name, fvt.field_value, fvt.id field_value_id, COUNT( DISTINCT pid ) count
FROM FIELDS ft
JOIN fields_values fvt ON ( ft.id = fvt.field_id )
JOIN products_to_fields_values pfv ON ( pfv.field_value_id = fvt.id )
JOIN products pt ON ( pt.id = pfv.product_id )
LEFT JOIN (
SELECT ft.id field_id, ft.field_name, fvt.field_value, fvt.id field_value_id, pt.name, pt.id pid
FROM FIELDS ft
JOIN fields_values fvt ON ( ft.id = fvt.field_id )
JOIN products_to_fields_values pfv ON ( pfv.field_value_id = fvt.id )
JOIN products pt ON ( pt.id = pfv.product_id )
GROUP BY pt.id
)LJ ON pfv.product_id = LJ.pid
WHERE FIND_IN_SET( 1, pt.cid )
GROUP BY ft.field_name, fvt.field_value
LIMIT 0 , 30
This request will return (I'm trying to build faceted filter):
field_id field_name field_value field_value_id count
2 Display 27 inch 2 1
1 Processor Intel Atom 5 1
1 Processor Intel Pentium 3 1
But I have other values in this table: fields_values like: AMD Radeon and 22 inch.
Where is my mistake in the request?
Thanks!
EDIT:
I'm expect to getting result:
field_id field_name field_value field_value_id count
2 Display 22 inch 6 0
2 Display 27 inch 2 1
1 Processor AMD Radeon 4 0
1 Processor Intel Atom 5 1
1 Processor IntelPentium3 1 1
Where count is a products count.
Here is a work SQL, but im not sure you have build your structure correctly.
SELECT
ft.id field_id, ft.field_name, fvt.field_value, fvt.id as field_value_id, COUNT( DISTINCT pid ) count
FROM products AS pt
JOIN products_to_fields_values AS pfv ON pfv.product_id = pt.id
JOIN fields_values AS fvt ON fvt.field_id = pfv.field_value_id
JOIN fields AS ft on ft.id = fvt.field_id
LEFT JOIN (
SELECT ft.id field_id, ft.field_name, fvt.field_value, fvt.id field_value_id, pt.name, pt.id pid
FROM fields ft
JOIN fields_values fvt ON ( ft.id = fvt.field_id )
JOIN products_to_fields_values pfv ON ( pfv.field_value_id = fvt.id )
JOIN products pt ON ( pt.id = pfv.product_id )
GROUP BY pt.id
)LJ ON pfv.product_id = LJ.pid
WHERE FIND_IN_SET( 1, pt.cid )
GROUP BY ft.field_name, fvt.field_value
LIMIT 0 , 30
In short - u have error in this line:
JOIN products_to_fields_values pfv ON ( pfv.field_value_id = fvt.id )
right one:
JOIN products_to_fields_values pfv ON ( pfv.field_value_id = fvt.field_id )
I tried for your question, check this query
select fValue.field_id, f.field_name as field_name, fValue.field_value, fValue.id as field_value_id
from products_to_fields_values as productValue
left join fields_values as fValue on(fValue.field_id=productValue.field_value_id)
left join fields as f on (fValue.field_id=f.id)
left join products as p on (productValue.product_id=p.id)
where p.cid=1
I am quite sure the problem, i.e. the 'missing' records, is being caused by the 'group by' commands. It's a bit difficult to come up with a solution for you as I am not too sure what you are trying to achieve. The expected result you posted hasn't helped me much in this regard. The query you are trying to run is rather complex, and on a populated database is going to start running very, very slowly. As such it would suggest a better database design is required. If you can explain what you are trying to achieve I will gladly look at a solution for you.
Ignoring the limit and where clauses this is the query you need to use:
SELECT
fields.id AS field_id
, fields.field_name
, fields_values.field_value
, fields_values.id AS field_value_id
, COUNT(products.id) AS `count`
FROM fields_values
JOIN fields ON fields.id = fields_values.field_id
JOIN category AS field_category ON field_category.id = fields.cid
LEFT JOIN products_to_fields_values AS product_fields ON fields_values.id = product_fields.field_value_id
LEFT JOIN products ON products.id = product_fields.product_id
GROUP BY 1, 2, 3, 4;
This produces the following result:
| field_id | field_name | field_value | field_value_id | count |
+----------+------------+-----------------+----------------+-------+
| 1 | Processor | AMD Radeon | 4 | 0 |
| 1 | Processor | Intel Atom | 5 | 1 |
| 1 | Processor | Intel Pentium 3 | 1 | 1 |
| 2 | Display | 22 inch | 6 | 0 |
| 2 | Display | 27 inch | 2 | 1 |
| 3 | Brand | BMX | 3 | 1 |
In your where clause you can specify
WHERE category.id IN (1)
to get the result you want.
The mistake you were making (and a previous answer as well) was that you were joining the category through the product giving you the product_category instead of the field_category.
When you applied a where condition on the product_category, it removed all products not part of the set, so you would never get the count = 0
I have two tables, the first holds data about patients, it looks like this.
id patient sex impact
------------------------------------------
1 Bill Jones male .1
2 Sarah Smith female .4
The second holds "multipliers". These multipliers will be used to multiply the impact in the table above.
id type type_value multiplier
-----------------------------------------------
1 patient Bill Jones .5
2 sex male .3
3 sex male .8
4 sex female .7
I am trying to run a query that will return the following:
patient patient_total sex_total new_impact
-------------------------------------------------------------------------------
Bill Jones .5 1.1 .16
Sarah Smith 0 .7 .28
Where the new impact is the (patient_total + sex_total) * impact for each patient.
Here are the create statements:
--
-- Table structure for table `impact`
--
CREATE TABLE IF NOT EXISTS `impact` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`patient` varchar(20) NOT NULL,
`sex` varchar(7) NOT NULL,
`impact` float NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 AUTO_INCREMENT=3 ;
--
-- Dumping data for table `impact`
--
INSERT INTO `impact` (`id`, `patient`, `sex`, `impact`) VALUES
(1, 'Bill Jones', 'male', 0.1),
(2, 'Sarah Smith', 'female', 0.4);
--
-- Table structure for table `multipliers`
--
CREATE TABLE IF NOT EXISTS `multipliers` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`type` varchar(20) NOT NULL,
`type_value` varchar(60) NOT NULL,
`multiplier` float NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 AUTO_INCREMENT=14 ;
--
-- Dumping data for table `multipliers`
--
INSERT INTO `multipliers` (`id`, `type`, `type_value`, `multiplier`) VALUES
(1, 'patient', 'Bill Jones', 0.5),
(2, 'sex', 'male', 0.3),
(3, 'sex', 'male', 0.8),
(13, 'sex', 'female', 0.7);
I have tried several iterations of the following query, but can't get it to work :/
Updated quer - working for sex_total column, not for patient_total column :/
select p.patient, ifnull(sum(ipatient.multiplier), 0) as patient_total, ifnull(sum(isex.multiplier), 0) as sex_total, (ifnull(sum(ipatient.multiplier), 0) + ifnull(sum(isex.multiplier), 0) * p.impact) as new_impact
from impact p
left outer join multipliers ipatient
on ipatient.type = 'patient' and ipatient.type_value = p.patient
left outer join multipliers isex
on isex.type = 'sex' and isex.type_value = p.sex
group by p.patient
Could someone please help?
Thanks
You just need to join in the impact rows and then aggregate the results. The following does two joins, one for each type of impact:
select p.patient, sum(ipatient.multiplier) as patient_total,
sum(isex.multiplier) as sex_total,
(sum(ipatient.multiplier) * sum(isex.multiplier) * p.imact
) as new_impact
from impact p left outer join
multipliers ipatient
on ipatient.type = 'patient' and ipatient.type_value = p.patient left outer join
multipliers isex
on isex.type = 'sex' and isex.type_value = p.sex
group by p.patient;
You might need a coalesce() if there might be some rows that have no matches for either the patient name or sex.
EDIT:
Dumb. Dumb. Dumb. The above fails because the isex multiplies the rows, so it affects the sum() of ipatient. This version works:
select p.patient,
sum(case when m.type = 'patient' then m.multiplier else 0 end) as patient_total,
sum(case when m.type = 'sex' then m.multiplier else 0 end) as sex_total,
(sum(m.multiplier)* p.impact
) as new_impact
from impact p left outer join
multipliers m
on m.type = 'patient' and m.type_value = p.patient or
m.type = 'sex' and m.type_value = p.sex
group by p.patient;
You can see it here.
If you don't like all the decimal places from the float, you can switch to a numeric/decimal data type.
This query will give you the columns you need, but you'll have to do the multiplication yourself.
SELECT i.id, i.patient, i.impact,
(SELECT IFNULL(SUM(multiplier), 0) FROM multipliers
WHERE type='patient' AND type_value=i.patient) `patient_total`,
(SELECT IFNULL(SUM(multiplier), 0) FROM multipliers
WHERE type='sex' AND type_value=i.sex) `sex_total`
FROM impact i