Adding count(*) from group and cte to variable? - sql-server-2008

The contents of table #sales is basically the most sold car brand per city. This is saying that Toyota was sold the most in Houston and Chicago, etc.
The result of this query (which I know can be better) shows what brands were tied and the amount of times it tied. For example, Chevy tied for 1st place in two cities, Ford tied in one city (Miami), and so on.
How can I add count(*) to the variable based on CarSoldMost? In this case, I would add 2 to #chevy, 1 to #ford, etc?
I was thinking of using a case statement, but it's being used incorrectly.
declare #toyota int = 0
declare #nissan int = 0
declare #chevy int = 0
declare #ford int = 0
declare #sales table
(
city varchar(10),
CarSoldMost varchar(10)
)
insert into #Sales
select 'Chicago', 'Toyota' union
select 'Orlando', 'Nissan' union
select 'miami', 'Ford' union
select 'miami', 'Chevy' union
select 'houston', 'Toyota' union
select 'houston', 'Chevy'
select *From #sales
;with cte as
(
select city
from #sales
group by city
having count(*) > 1
) --select carsoldmost, count(*) from #sales where city in (select city from cte)
group by carsoldmost
select #chevy =
case
when carsoldmost = 'chevy' then #chevy+count(*)
when carsoldmost = 'Ford' then #ford+count(*)
end
from #sales where city in (select city from cte) group by carsoldmost
select #chevy, #ford

The assignments to variables need to be done with separate case expressions:
-- Sample data.
declare #Sales as Table(
City VarChar(10),
CarSoldMost VarChar(10) );
insert into #Sales ( City, CarSoldMost ) values
( 'Chicago', 'Toyota' ),
( 'Orlando', 'Nissan' ),
( 'Miami', 'Ford' ),
( 'Miami', 'Chevy' ),
( 'Houston', 'Toyota' ),
( 'Houston', 'Chevy' );
select * from #Sales;
-- Summary variables.
declare #Chevy int = 0, #Ford int = 0, #Nissan int = 0, #Toyota int = 0;
-- Summary query.
with cte as (
select City
from #Sales
group by City
having Count(*) > 1 )
select
#Chevy += case when CarSoldMost = 'Chevy' then Count(*) else 0 end,
#Ford += case when CarSoldMost = 'Ford' then Count(*) else 0 end,
#Nissan += case when CarSoldMost = 'Nissan' then Count(*) else 0 end,
#Toyota += case when CarSoldMost = 'Toyota' then Count(*) else 0 end
from #Sales
where City in ( select City from cte )
group by CarSoldMost;
-- Display the results.
select #Chevy as 'Chevy', #ford as 'Ford', #Nissan as 'Nissan', #Toyota as 'Toyota';

additional variant to already posted using conditional agregation
-- display result/or replace aliasis by variables to assign values.
select
Chevy = Count(case when CarSoldMost = 'Chevy' then 1 end) ,
Ford = Count(case when CarSoldMost = 'Ford' then 1 end),
Nissan = Count(case when CarSoldMost = 'Nissan' then 1 end),
Toyota = Count(case when CarSoldMost = 'Toyota' then 1 end)
from #Sales as a
Where City in (select City
from #Sales
group by City
having count(City)>1)
testing:

Related

SQL group by school name

school_name
class
medium
total
srk
1
english
13
srk
2
english
14
srk
3
english
15
srk
1
french
16
srk
2
french
16
srk
3
french
18
vrk
1
english
17
vrk
1
french
18
I want that output by
school_name
class1eng
class1french
class2eng
class2french
class3english
class3french
[output needed][ otput required
output
You’re looking for multiple select statements along with appropriate cases to satisfy.
This should work for you
Select
school_name,
Sum(Case when (class=1 and medium=‘English’) then total else 0 end) as class1english,
Sum(Case when (class=1 and medium=‘French’) then total else 0 end) as class1french,
Sum(Case when (class=2 and medium=‘English’) then total else 0 end) as class2english,
Sum(Case when (class=2 and medium=‘French’) then total else 0 end) as class2french,
Sum(Case when (class=3 and medium=‘English’) then total else 0 end) as class3english,
Sum(Case when (class=3 and medium=‘French’) then total else 0 end) as class3french
From
table_name
Group by
school_name
Seems to be a simple ask, assumed you also want to order your results. Please check below query if that helps
SELECT school_name, class, medium, SUM(total) AS Total
FROM <Table Name>
GROUP BY school_name, class, medium
This solution is for general purpose, complex, but functional.
I've made it for myself as exercise and challenge.
/* --------------- TABLE --------------- */
CREATE TABLE schools_tab
(school VARCHAR(9), class INT, subj VARCHAR(9), total INT);
INSERT INTO schools_tab VALUES
('srk', 1, 'english', 13),
('srk', 2, 'english', 14),
('srk', 3, 'english', 15),
('srk', 1, 'french', 16),
('srk', 2, 'french', 16),
('srk', 3, 'french', 18),
('vrk', 1, 'english', 17),
('vrk', 1, 'french', 18);
/* -------------- DYNAMIC QUERY --------------- */
SET #sql=NULL;
WITH cte AS (
SELECT school, class, subj, ROW_NUMBER() OVER (PARTITION BY school) AS idx, DENSE_RANK() OVER (ORDER BY school) AS ids
FROM (SELECT DISTINCT school FROM schools_tab) A LEFT JOIN (SELECT DISTINCT class, subj FROM schools_tab) B ON (1=1)
), cte2 AS (
SELECT A.ids, A.idx, A.school, A.class, A.subj, COALESCE(B.total, 0) AS total
FROM cte A LEFT JOIN schools_tab B ON (A.school=B.school AND A.class=B.class AND A.subj=B.subj)
), cte3 AS (
SELECT DISTINCT class, subj
FROM schools_tab
ORDER BY class, subject
)
SELECT CONCAT('WITH RECURSIVE cte AS (
SELECT school, class, subj, ROW_NUMBER() OVER (PARTITION BY school) AS idx, DENSE_RANK() OVER (ORDER BY school) AS ids
FROM (SELECT DISTINCT school FROM schools_tab) A LEFT JOIN (SELECT DISTINCT class, subj FROM schools_tab) B ON (1=1)
), cte2 AS (
SELECT A.ids, A.idx, A.school, A.class, A.subj, COALESCE(B.total, 0) AS total
FROM cte A LEFT JOIN schools_tab B ON (A.school=B.school AND A.class=B.class AND A.subj=B.subj)
), ctx AS ('
'SELECT (SELECT MAX(ids) FROM cte2) AS n,',
GROUP_CONCAT(DISTINCT CONCAT( '(SELECT total FROM cte2 WHERE idx=',idx,' AND ids=n) AS class',class,subj ) ORDER BY class, subj),
' UNION ALL SELECT n-1 AS n,',
GROUP_CONCAT(DISTINCT CONCAT( '(SELECT total FROM cte2 WHERE idx=',idx,' AND ids=n) AS class',class,subj ) ORDER BY class, subj),
' FROM ctx WHERE n>0',
') SELECT DISTINCT SUBSTRING_INDEX(SUBSTRING_INDEX(''srk,vrk'', '','', n+1), '','', -1) AS school,',
GROUP_CONCAT(DISTINCT CONCAT('class',class,subj)),
' FROM ctx ORDER BY school'
) INTO #sql
FROM cte2;
PREPARE stmt1 FROM #sql;
EXECUTE stmt1;

SQL Server Row totals in pivot query

I am trying to make a row in the end of the result set that shows the totals.
My query is this:
SELECT
[ ] = ISNULL(CAST(GEN_idPaciente AS VARCHAR)+'-'+nombrePaciente, 'TOTAL'),
[2016-11-01] = MAX([2016-11-01]),
[2016-11-02] = MAX([2016-11-02]),
[2016-11-03] = MAX([2016-11-03]),
[2016-11-04] = MAX([2016-11-04]),
TOTAL = COUNT([2016-11-01]) + COUNT([2016-11-02]) + COUNT([2016-11-03]) + COUNT([2016-11-04])
FROM
(
SELECT GEN_Paciente.GEN_idPaciente,COALESCE(GEN_ape_paternoPaciente, '')+' '+COALESCE(GEN_ape_maternoPaciente, '')+' '+COALESCE(GEN_nombrePaciente, '') AS nombrePaciente,HOS_fechaCategorizacion,HOS_nivel_riesgoCategorizacion+CAST(HOS_nivel_dependenciaCategorizacion AS VARCHAR) as riesgoDependencia
FROM HOS_Categorizacion
INNER JOIN HOS_Hospitalizacion
ON HOS_Hospitalizacion.HOS_idHospitalizacion = HOS_Categorizacion.HOS_idHospitalizacion
INNER JOIN GEN_Paciente
ON GEN_Paciente.GEN_idPaciente = HOS_Hospitalizacion.GEN_idPaciente
WHERE HOS_nivel_riesgoCategorizacion IS NOT NULL
) src
PIVOT
(
MAX(riesgoDependencia)
for HOS_fechaCategorizacion in ([2016-11-01],[2016-11-02],[2016-11-03],[2016-11-04])
) p
GROUP BY
ROLLUP(CAST(GEN_idPaciente AS VARCHAR)+'-'+nombrePaciente)
This gives me this result:
But as you can see the totals for the rows are right but the totals for the columns are wrong because I am using MAX instead of COUNT, but I only need COUNT in the TOTAL row, the others have to be MAX, so I wrote this query:
SELECT
[ ] = ISNULL(CAST(GEN_idPaciente AS VARCHAR)+'-'+nombrePaciente, 'TOTAL'),
[2016-11-01] = CASE WHEN CAST(GEN_idPaciente AS VARCHAR)+'-'+nombrePaciente IS NOT NULL THEN MAX([2016-11-01]) ELSE COUNT([2016-11-01]) END,
[2016-11-02] = CASE WHEN CAST(GEN_idPaciente AS VARCHAR)+'-'+nombrePaciente IS NOT NULL THEN MAX([2016-11-02]) ELSE COUNT([2016-11-02]) END,
[2016-11-03] = CASE WHEN CAST(GEN_idPaciente AS VARCHAR)+'-'+nombrePaciente IS NOT NULL THEN MAX([2016-11-03]) ELSE COUNT([2016-11-03]) END,
[2016-11-04] = CASE WHEN CAST(GEN_idPaciente AS VARCHAR)+'-'+nombrePaciente IS NOT NULL THEN MAX([2016-11-04]) ELSE COUNT([2016-11-04]) END,
TOTAL = COUNT([2016-11-01]) + COUNT([2016-11-02]) + COUNT([2016-11-03]) + COUNT([2016-11-04])
FROM
(
SELECT GEN_Paciente.GEN_idPaciente,COALESCE(GEN_ape_paternoPaciente, '')+' '+COALESCE(GEN_ape_maternoPaciente, '')+' '+COALESCE(GEN_nombrePaciente, '') AS nombrePaciente,HOS_fechaCategorizacion,HOS_nivel_riesgoCategorizacion+CAST(HOS_nivel_dependenciaCategorizacion AS VARCHAR) as riesgoDependencia
FROM HOS_Categorizacion
INNER JOIN HOS_Hospitalizacion
ON HOS_Hospitalizacion.HOS_idHospitalizacion = HOS_Categorizacion.HOS_idHospitalizacion
INNER JOIN GEN_Paciente
ON GEN_Paciente.GEN_idPaciente = HOS_Hospitalizacion.GEN_idPaciente
WHERE HOS_nivel_riesgoCategorizacion IS NOT NULL
) src
PIVOT
(
MAX(riesgoDependencia)
for HOS_fechaCategorizacion in ([2016-11-01],[2016-11-02],[2016-11-03],[2016-11-04])
) p
GROUP BY
ROLLUP(CAST(GEN_idPaciente AS VARCHAR)+'-'+nombrePaciente)
But that is not working
Thanks for your help!!
If I understand this correctly you want to count all columns which are not null. In this case you should just look at the condition IS NULL and not at the actual value at all. Try this:
DECLARE #tbl TABLE(ID INT IDENTITY, val1 VARCHAR(100),val2 VARCHAR(100),val3 VARCHAR(100));
INSERT INTO #tbl VALUES
('row1_val1','row1_val2',NULL)
,('row2_val1','row2_val2','row2_val3')
,(NULL,'row2_val2',NULL)
,(NULL,NULL,'row2_val3')
,(NULL,NULL,NULL);
SELECT *
,CASE WHEN val1 IS NULL THEN 0 ELSE 1 END
+CASE WHEN val2 IS NULL THEN 0 ELSE 1 END
+CASE WHEN val3 IS NULL THEN 0 ELSE 1 END AS CountOfValNotNull
FROM #tbl
UPDATE: Add a final Totals Row
You'd need ugly fiddling with a CTE, an additional sort column, UNION ALL to add another row and a sub_select.
Use the outer-most ORDER BY to get the artificial Totals-Row to the end
hint: Use the #tbl variable from above!
WITH SortedRows AS
(
SELECT ROW_NUMBER() OVER(ORDER BY ID) AS SortColumn
,*
,CASE WHEN val1 IS NULL THEN 0 ELSE 1 END
+CASE WHEN val2 IS NULL THEN 0 ELSE 1 END
+CASE WHEN val3 IS NULL THEN 0 ELSE 1 END AS CountOfValNotNull
FROM #tbl
)
SELECT tbl1.*
FROM
(
SELECT * FROM SortedRows
UNION ALL
SELECT 999999,0,'','','',(SELECT SUM(CountOfValNotNull) FROM SortedRows)
) AS tbl1
ORDER BY tbl1.SortColumn

MySQL - Rows to Columns and keeps NULL

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;

Two or more coditions are true skip record, continue to next

I have the following code:
([L_D]='mc' and [L_D]='mb' or [L_D]='f1' or [L_D]='fs' or [L_D]='f2' or [L_D]='f3' or [L_D]='ma' or [L_D]='m*' or [L_D]='f*' or [L_D]='**')
If this record has L_D='MC' and any of the other codes. Skip this record. Then return all records that [L_D]='mc'
I'm thinking a nested 'If statement' would work. But my results are not correct.
I'll presume that you have something like the following:
Customer
(
id Int IDENTITY,
last_name Varchar(40),
first_name Varchar(30),
)
CustomerEvents
(
id Int IDENTITY,
cust_id Int,
l_d Varchar(2)
)
In which case a query that would (appear to) satisfy your question would look like:
SELECT CUST.id AS cust_id,
CUST.first_name,
CUST.last_name,
FROM Customer CUST
INNER JOIN
(
SELECT cust_id,
SUM ( CASE
WHEN l_d = 'mc' THEN 1
ELSE 0
END
) AS mc_count,
SUM( CASE
WHEN l_d in ('mb', 'fl', 'fs', 'f2',
'f3', 'ma', 'm*', 'f*', '**' ) THEN 1
ELSE 0
END
) AS other_count
FROM CustomerEvents
GROUP BY cust_id
) CustScore
ON CustScore.cust_id = CUST.id
WHERE CustScore.mc_count > 0
AND CustScore.other_count = 0

Compare Months list with date field of table

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]