I am using sql server 2008
I have table in my database is like this:
And I want output like this:
As it is shown in my table I have DateField which has smalldatetime datatype and along with fruits and vegi fields. I want output like which shows data month-wise.. month comparison should be performed based on DateField of my table.
You can use something like:
select [Month] = month(DateField)
, [MonthName] = left(datename(mm, DateField), 3)
, TotalAmountApple = sum(case when fruits = 'Apple' then 1 else 0 end)
, TotalAmountOnion = sum(case when vegi = 'Onion' then 1 else 0 end)
from produce
group by month(DateField)
, left(datename(mm, DateField), 3)
order by [Month]
Full test details (no SQL Fiddle as it's experiencing issues):
create table produce
(
id int
, fruits varchar(10)
, vegi varchar(10)
, DateField smalldatetime
)
insert into produce
select 1, 'Apple', 'Chilly', '01-jan-2013'
insert into produce
select 1, 'Mango', 'Onion', '15-jan-2013'
insert into produce
select 1, 'Mango', 'Chilly', '20-jan-2013'
insert into produce
select 1, 'Apple', 'Chilly', '01-Feb-2013'
insert into produce
select 1, 'Mango', 'Onion', '15-Feb-2013'
insert into produce
select 1, 'Apple', 'Onion', '20-Feb-2013'
select [Month] = month(DateField)
, [MonthName] = left(datename(mm, DateField), 3)
, TotalAmountApple = sum(case when fruits = 'Apple' then 1 else 0 end)
, TotalAmountOnion = sum(case when vegi = 'Onion' then 1 else 0 end)
from produce
group by month(DateField)
, left(datename(mm, DateField), 3)
order by [Month]
Related
select
Count(*)
from gl
join TRVMAINDATA msit
on gl.TRANSACTIONID = msit.CHARGETRANSACTIONID
where gl.CREATEDDATETIME >= DATEADD(MONTH,-2,getdate()) AND
datediff(DAY,gl.BUSINESSPROCESSDATE,gl.CREATEDDATETIME)>=4 AND
gl.MARKETCODE In('535','532','056','050','039','036','034','033','030','029','027','023','022','021','018','015','012','011','010','009','007','006','005','002','001' ) and DATEADD(MONTH,DATEDIFF(MONTH,0,gl.CREATEDDATETIME),0) = '2/1/2017 12:00:00 AM'
The above code gives the total for market code mentioned.
But i also want the market code for other code which doesn't belog here. for example
select
Count(*)
from gl
join TRVMAINDATA msit
on gl.TRANSACTIONID = msit.CHARGETRANSACTIONID
where gl.CREATEDDATETIME >= DATEADD(MONTH,-6,getdate()) AND
datediff(DAY,gl.BUSINESSPROCESSDATE,gl.CREATEDDATETIME)>=0
and
DATEADD(MONTH,DATEDIFF(MONTH,0,gl.CREATEDDATETIME),0) = '2/1/2017 12:00:00 AM'
AND
(case
when gl.MARKETCODE In('535','532','056','050','039','036','034','033','030','029','027','023','022','021','018','015','012','011','010','009','007','006','005','002','001') then 'Proprietary'
when gl.MARKETCODE='037' then 'US'
else 'partner'
end )
Is it possible to calculate totals of other market codes in one sql query or do i have to calculate individually?
I think you would like to do count with case when in select statement like this:
SELECT COUNT(CASE
WHEN gl.marketcode IN ( '535', '532', '056', '050',
'039', '036', '034', '033',
'030', '029', '027', '023',
'022', '021', '018', '015',
'012', '011', '010', '009',
'007', '006', '005', '002', '001' ) THEN 1
ELSE NULL
END) AS `Proprietary`,
COUNT(CASE
WHEN gl.marketcode = '037' THEN 1
ELSE NULL
END) AS `US`,
COUNT(CASE
WHEN gl.marketcode NOT IN ( '535', '532', '056', '050',
'039', '036', '034', '033',
'030', '029', '027', '023',
'022', '021', '018', '015',
'012', '011', '010', '009',
'007', '006', '005', '002',
'001', '037' ) THEN 1
ELSE NULL
END) AS `partner`
FROM gl
JOIN trvmaindata msit
ON gl.transactionid = msit.chargetransactionid
WHERE gl.createddatetime >= DATEADD(month, -2, GETDATE())
AND DATEDIFF(day, gl.businessprocessdate, gl.createddatetime) >= 4
AND DATEADD(month, DATEDIFF(month, 0, gl.createddatetime), 0) = '2/1/2017 12:00:00 AM'
I have a simple table with several rows and I would like to group them by id_room and select value only when condition is true. Problem is that condition is always false even there is a row with right date column year_month.
Here is schema:
CREATE TABLE tbl_account_room (
`id` int,
`year_month` date,
`value` int,
`id_room` int
);
INSERT INTO tbl_account_room
(`id`, `year_month`, `value`, `id_room`)
VALUES
(1, '2016-08-01', 1, 300),
(2, '2016-09-01', 2, 300),
(3, '2016-10-01', 3, 300);
and here query:
SELECT
(case when '2016-10-01' = ar.year_month then ar.value else 0 end) as total
FROM tbl_account_room AS ar
WHERE ar.year_month >= "2016-08-01"
AND ar.year_month <= "2016-11-01"
and ar.id_room = '300'
GROUP BY ar.id_room
LIMIT 10
Here is SQL Fiddle
In column total I'm getting 0 and I would like to get value 3 because year_month is 2016-10-01. Why this happens?
You certainly don't need that CASE condition and include that condition in your WHERE clause rather like
SELECT
ar.value as total,
GROUP_CONCAT(ar.year_month)
FROM tbl_account_room AS ar
WHERE ar.year_month = '2016-10-01'
GROUP BY ar.id_room;
Not sure why you want the result like that, here you can use self join to do that:
SELECT
MAX(t1.value) as total,
GROUP_CONCAT(ar.year_month)
FROM tbl_account_room AS ar
LEFT JOIN tbl_account_room AS t1
ON ar.id_room = t1.id_room
AND ar.year_month = t1.year_month
AND t1.year_month = '2016-10-01'
WHERE ar.year_month >= "2016-08-01"
AND ar.year_month <= "2016-11-01"
and ar.id_room = '300'
GROUP BY ar.id_room
LIMIT 10;
and here is SQLFiddle Demo.
We have the following table (TEST2) in the MySQL database (MySQL 5.6):
TEAM_ID,MEMBER_ID,TYPE,SCORE
1,2,A,150
1,3,B,200
1,1,B,50
1,1,A,100
1,2,B,NULL
We try to transform/pivot the above table based on the TYPE column:
If the TYPE column has value == A, move the value in the SCORE column into a new column called A_SCORE. If the value in the SCORE column is NULL, it should show NULL in the new A_SCORE column.
If the TYPE column has value == B, move the value in the SCORE column into a new column called B_SCORE. If the value in the SCORE column is NULL, it should show NULL in the new B_SCORE column.
The following table is the one we are looking for (the wanted table):
TEAM_ID,MEMBER_ID,A_SCORE,B_SCORE,A_SCORE_MINUS_B_SCORE
1,1,100,50,50
1,2,150,NULL,NULL
1,3,0,200,-200
We tried the following query
SELECT TEAM_ID,MEMBER_ID,A_SCORE,B_SCORE,SUM(A_SCORE-B_SCORE) AS ACTUAL_MINUS_B_SCORE FROM
(SELECT TEAM_ID,MEMBER_ID,
CASE
WHEN SCORE IS NULL
THEN NULL
ELSE SUM(if(TYPE = 'A', SCORE,0) )
END A_SCORE,
CASE
WHEN SCORE IS NULL
THEN NULL
ELSE SUM(if(TYPE = 'B', SCORE,0) )
END B_SCORE
FROM TEST2
GROUP BY TEAM_ID,MEMBER_ID,SCORE) AS A
GROUP BY TEAM_ID,MEMBER_ID,A_SCORE,B_SCORE);
It returns something we don’t want:
TEAM_ID,MEMBER_ID,A_SCORE,B_SCORE,A_SCORE_MINUS_B_SCORE
1,1,0,50,-50
1,1,100,0,100
1,2,0,0,0
1,2,150,0,150
1,3,0,200,-200
If we tried the following, it generates a table close to what we want, but it doesn’t return any NULL value.
SELECT TEAM_ID,MEMBER_ID,A_SCORE,B_SCORE,SUM(A_SCORE-B_SCORE) AS A_SCORE _MINUS_B_SCORE FROM
(SELECT TEAM_ID,MEMBER_ID,
SUM(if(TYPE = 'A', SCORE,0) ) AS A_SCORE,
SUM(if(TYPE = 'B', SCORE,0) )AS B_SCORE
FROM TEST2
GROUP BY TEAM_ID,MEMBER_ID) AS A
GROUP BY TEAM_ID,MEMBER_ID,A_SCORE,B_SCORE;
The result of the above query:
TEAM_ID,MEMBER_ID,A_SCORE,B_SCORE,A_SCORE_MINUS_B_SCORE
1,1,100,50,50
1,2,150,0,0
1,3,0,200,-200
Could any guru enlighten how to generate the wanted table in this case using MySQL? The SQL fiddle is here for your convenience.
http://sqlfiddle.com/#!9/cfe7a1/1
Thanks!
Try this;)
SELECT TEAM_ID, MEMBER_ID, A_SCORE, B_SCORE, A_SCORE - B_SCORE AS A_SCORE_MINUS_B_SCORE
FROM (
SELECT
TEAM_ID, MEMBER_ID,
CASE
WHEN A_SCORE IS NULL AND NOT EXISTS (
SELECT 1 FROM TEST2
WHERE TEAM_ID = T1.TEAM_ID
AND MEMBER_ID = T1.MEMBER_ID
AND TYPE = 'A'
) THEN 0 ELSE A_SCORE END AS A_SCORE,
CASE
WHEN B_SCORE IS NULL AND NOT EXISTS (
SELECT 1 FROM TEST2
WHERE TEAM_ID = T1.TEAM_ID
AND MEMBER_ID = T1.MEMBER_ID
AND TYPE = 'A'
) THEN 0 ELSE B_SCORE END AS B_SCORE
FROM (
SELECT
TEAM_ID, MEMBER_ID,
MAX(CASE WHEN TYPE = 'A' THEN SCORE END) AS A_SCORE,
MAX(CASE WHEN TYPE = 'B' THEN SCORE END) AS B_SCORE
FROM TEST2
GROUP BY TEAM_ID, MEMBER_ID
) T1
)T
SQLFiddle demo here
I don't quite understand the calculation criteria, but something like this should work...
SELECT team_id
, member_id
, COALESCE(MAX(CASE WHEN type = 'A' THEN score END),0) a_score
, COALESCE(MAX(CASE WHEN type = 'B' THEN score END),0) b_score
, COALESCE(MAX(CASE WHEN type = 'A' THEN score END),0)
- COALESCE(MAX(CASE WHEN type = 'B' THEN score END),0) diff
FROM test2
GROUP
BY team_id
, member_id;
I retrieve two sum of value:
SUM (CASE WHEN CAUSALI.AVAILABLECAUSA_1 LIKE ('%CAUSE-1%') THEN (mtscrap) ELSE 0 END ) as Cause1
and
SUM (CASE WHEN CAUSALI.AVAILABLECAUSA_1 LIKE ('%CAUSE-2%') THEN (mtscrap) ELSE 0 END ) as Cause2
I would like to set another SUM statement without %CAUSE-*, and that have WHERE clause independent from the principal WHERE. I had innested this subquery:
(CASE WHEN day BETWEEN '2014-01-09' AND '2014-06-13' THEN SUM(MTSCRAP) ELSE 0 END) AS XXXXXX
but I have wrong data. My global query is:
SELECT
SezioneID
, Desc_Prod
, sample.products.VETTURA AS VetturaID
, truncate((SUM(mtscrap_1) / SUM(MtProdotti_1)) * 100, 2) AS Scrap_1
, truncate((SUM(mtscrap_2) / SUM(MtProdotti_2)) * 100, 2) AS Scrap_2
, mtscrap_1
, MtProdotti_1
, mtscrap_2
, MtProdotti_2
FROM flB.flB_prod AS PROD
JOIN SAMPLE.PRODUCTS
ON (sample.products.SKU = PROD.SEZIONEID)
AND (sample.products.LINEA = 'FLB')
JOIN (
SELECT
IDSEZIONE
, IDTURNO
, ID_PROG
, SUM(CASE
WHEN AVAILABLECAUSA_1 LIKE ('%CHANGE-1%') THEN mtscrap ELSE 0
END) AS mtscrap_1
, SUM(CASE
WHEN AVAILABLECAUSA_1 LIKE ('%CHANGE-1%') THEN MtProdotti ELSE 0
END) AS MtProdotti_1
, SUM(CASE
WHEN AVAILABLECAUSA_1 LIKE ('%CHANGE-2%') THEN mtscrap ELSE 0
END) AS mtscrap_2
, SUM(CASE
WHEN AVAILABLECAUSA_1 LIKE ('%CHANGE-2%') THEN MtProdotti ELSE 0
END) AS MtProdotti_2
, MtProdotti
FROM FLB.flB_causali
WHERE DATASTARTPRG BETWEEN '2014-06-09' AND '2014-06-13'
GROUP BY
IDSEZIONE
IDTURNO
, ID_PROG
) AS CAUSALI
ON (PROD.SEZIONEID = CAUSALI.IDSEZIONE)
AND PROD.TURNO = CAUSALI.IDTURNO
AND PROD.ID_PROG = CAUSALI.ID_PROG
WHERE giorno BETWEEN '2014-06-09' AND '2014-06-13'
GROUP BY
SezioneID
I need this view:
I have done my best to put a table or alias beside EVERY field reference. At this point I really do not know what else I can do for you. I don't think any more words will help.
these 2 simple items will help:
1. sample data
2. expected result
Because you did not use table aliases on all fields in the very original query the following is a complete guess, but using the presence of DISTINCT in that original query was a clue for "too many rows" that indicated the need for grouping prior to the overall query. So, here's my first guess:
SELECT
PROD.SezioneID
, PROD.Desc_Prod
, sample.products.VETTURA AS VetturaID
, truncate((SUM(CAUSALI.mtscrap_1) / SUM(CAUSALI.MtProdotti_1)) * 100, 2) AS Scrap_1
, truncate((SUM(CAUSALI.mtscrap_2) / SUM(CAUSALI.MtProdotti_2)) * 100, 2) AS Scrap_2
, CAUSALI.mtscrap_1
, CAUSALI.MtProdotti_1
, CAUSALI.mtscrap_2
, CAUSALI.MtProdotti_2
FROM flB.flB_prod AS PROD
JOIN SAMPLE.PRODUCTS
ON (sample.products.SKU = PROD.SEZIONEID)
AND (sample.products.LINEA = 'FLB')
JOIN (
SELECT
flB_causali.IDSEZIONE
, flB_causali.IDTURNO
, flB_causali.ID_PROG
, SUM(CASE
WHEN flB_causali.AVAILABLECAUSA_1 LIKE ('%CHANGE-1%') THEN flB_causali.mtscrap ELSE 0
END) AS mtscrap_1
, SUM(CASE
WHEN flB_causali.AVAILABLECAUSA_1 LIKE ('%CHANGE-1%') THEN flB_causali.MtProdotti ELSE 0
END) AS MtProdotti_1
, SUM(CASE
WHEN flB_causali.AVAILABLECAUSA_1 LIKE ('%CHANGE-2%') THEN flB_causali.mtscrap ELSE 0
END) AS mtscrap_2
, SUM(CASE
WHEN flB_causali.AVAILABLECAUSA_1 LIKE ('%CHANGE-2%') THEN flB_causali.MtProdotti ELSE 0
END) AS MtProdotti_2
, flB_causali.MtProdotti
FROM FLB.flB_causali
WHERE flB_causali.DATASTARTPRG BETWEEN '2014-06-09' AND '2014-06-13'
GROUP BY
flB_causali.IDSEZIONE
flB_causali.IDTURNO
, flB_causali.ID_PROG
) AS CAUSALI
ON (PROD.SEZIONEID = CAUSALI.IDSEZIONE)
AND PROD.TURNO = CAUSALI.IDTURNO
AND PROD.ID_PROG = CAUSALI.ID_PROG
WHERE PROD.giorno BETWEEN '2014-06-09' AND '2014-06-13'
GROUP BY
PROD.SezioneID
;
Are you looking for this expression?
SUM(CASE WHEN day BETWEEN '2014-01-09' AND '2014-06-13' THEN MTSCRAP ELSE 0 END) AS XXXXXX
The CASE goes inside the SUM() for conditional aggregation.
can anyone tell me the sql query(MySQL) that will result following output from the table .
You're after a PIVOT TABLE QUERY - although it's often better to perform the basic aggregation in (My)SQL and then handle problems of display at the application level (e.g. with a bit of PHP).
A standard query might look as follows, although MySQL supports shorthand deviations from this standard...
SELECT DATE_FORMAT(date,'%M') month
, COALESCE(SUM(CASE WHEN status = 'Rahul' THEN value END),0) Rahul
, COALESCE(SUM(CASE WHEN status = 'Vijay' THEN value END),0) Vijay
, COALESCE(SUM(CASE WHEN status = 'Loki' THEN value END),0) Loki
FROM my_table
GROUP
BY MONTH(date);
WITH w AS (
SELECT 10 AS value, 'Rahul' AS status, TO_DATE('20/01/2013', 'DD/MM/YYYY') AS date_time FROM dual
UNION ALL
SELECT 15, 'Vijay', TO_DATE('28/02/2013', 'DD/MM/YYYY') FROM dual
UNION ALL
SELECT 20, 'Loki', TO_DATE('03/02/2013', 'DD/MM/YYYY') FROM dual
UNION ALL
SELECT 25, 'Kiran', TO_DATE('05/01/2013', 'DD/MM/YYYY') FROM dual
UNION ALL
SELECT 5, 'Rahul', TO_DATE('02/01/2013', 'DD/MM/YYYY') FROM dual
UNION ALL
SELECT 15, 'Vijay', TO_DATE('10/01/2013', 'DD/MM/YYYY') FROM dual
UNION ALL
SELECT 08, 'Loki', TO_DATE('01/01/2013', 'DD/MM/YYYY') FROM dual
)
SELECT TO_CHAR(date_time, 'Mon') AS m
, SUM(CASE status WHEN 'Rahul' THEN value ELSE 0 END) AS Rahul
, SUM(CASE status WHEN 'Vijay' THEN value ELSE 0 END) AS Vijay
, SUM(CASE status WHEN 'Loki' THEN value ELSE 0 END) AS Loki
, SUM(CASE status WHEN 'Kiran' THEN value ELSE 0 END) AS Kiran
, SUM(value) AS Total
FROM w
GROUP BY TO_CHAR(date_time, 'Mon')
ORDER BY TO_DATE(TO_CHAR(date_time, 'Mon'), 'Mon')
;