This query pulls data from a VistaDB and produces info on the number of courses started in each month of the year from people in different countries.
Select c.CountryName As Country,
Count (case When Month( ch.CourseStarted ) = 1 Then 1 End) As Jan19,
Count (case when Month(ch.CourseStarted ) = 2 Then 1 End) as Feb19,
Count (case When Month(ch.CourseStarted ) = 3 Then 1 End) as Mar19,
Count (case When Month(ch.CourseStarted ) = 4 Then 1 End) as Apr19,
Count (case When Month(ch.CourseStarted ) = 5 Then 1 End) as May19,
Count (case When Month(ch.CourseStarted ) = 6 Then 1 End) as Jun19,
Count (case When Month(ch.CourseStarted ) = 7 Then 1 End) as Jul19,
Count (case When Month(ch.CourseStarted ) = 8 Then 1 End) as Aug19,
Count (case When Month(ch.CourseStarted ) = 9 Then 1 End) as Sep19,
Count (case When Month(ch.CourseStarted ) = 10 Then 1 End) as Oct19,
Count (case When Month(ch.CourseStarted ) = 11 Then 1 End)as Nov19,
Count (case When Month(ch.CourseStarted ) = 12 Then 1 End) as Dec19
From Country As c
Inner Join CourseHistory As ch On c.Oid = ch.Country
Where (ch.CourseStarted >= '2019-01-01' And
ch.CourseStarted <= '2019-12-31')
Group By c.CountryName
Order by c.CountryName;
My question is would it be possible to make this semi-dynamic so that if I were to make the final date in the where clause '2022-12-31' I could get a rafft of colums for each month of each year?
Related
I am working on a project in SQL Server with diagnosis codes and a patient can have up to 4 codes but not necessarily more than 1 and a patient cannot repeat a code more than once. However, codes can occur in any order. My goal is to be able to count how many times a Diagnosis code appears in total, as well as how often it appears in a set position.
My data currently resembles the following:
PtKey
Order #
Order Date
Diagnosis1
Diagnosis2
Diagnosis3
Diagnosis 4
345
1527
7/12/20
J44.9
R26.2
NULL
NULL
367
1679
7/12/20
R26.2
H27.2
G47.34
NULL
325
1700
7/12/20
G47.34
NULL
NULL
NULL
327
1710
7/12/20
I26.2
J44.9
G47.34
NULL
I would think the best approach would be to create a dummy column here that would match up the diagnosis by position. For example, Diagnosis 1 with A, and Diagnosis 2 with B, etc.
My current plan is to rollup the diagnosis using an unpivot:
UNPIVOT ( Diag for ColumnALL IN (Diagnosis1, Diagnosis2, Diagnosis3, Diagnosis4)) as unpvt
However, this still doesn’t provide a way to count the diagnoses by position on a sales order.
I want it to look like this:
Diagnosis
Total Count
Diag1 Count
Diag2 Count
Diag3 Count
Diag4 Count
J44.9
2
1
1
0
0
R26.2
1
1
0
0
0
H27.2
1
0
1
0
0
I26.2
1
1
0
0
0
G47.34
3
1
0
2
0
You can unpivot using apply and aggregate:
select v.diagnosis, count(*) as cnt,
sum(case when pos = 1 then 1 else 0 end) as pos_1,
sum(case when pos = 2 then 1 else 0 end) as pos_2,
sum(case when pos = 3 then 1 else 0 end) as pos_3,
sum(case when pos = 4 then 1 else 0 end) as pos_4
from data d cross apply
(values (diagnosis1, 1),
(diagnosis2, 2),
(diagnosis3, 3),
(diagnosis4, 4)
) v(diagnosis, pos)
where diagnosis is not null;
Another way is to use UNPIVOT to transform the columns into groupable entities:
SELECT Diagnosis, [Total Count] = COUNT(*),
[Diag1 Count] = SUM(CASE WHEN DiagGroup = N'Diagnosis1' THEN 1 ELSE 0 END),
[Diag2 Count] = SUM(CASE WHEN DiagGroup = N'Diagnosis2' THEN 1 ELSE 0 END),
[Diag3 Count] = SUM(CASE WHEN DiagGroup = N'Diagnosis3' THEN 1 ELSE 0 END),
[Diag4 Count] = SUM(CASE WHEN DiagGroup = N'Diagnosis4' THEN 1 ELSE 0 END)
FROM
(
SELECT * FROM #x UNPIVOT (Diagnosis FOR DiagGroup IN
([Diagnosis1],[Diagnosis2],[Diagnosis3],[Diagnosis4])) up
) AS x GROUP BY Diagnosis;
Example db<>fiddle
You can also manually unpivot via UNION before doing the conditional aggregation:
SELECT Diagnosis, COUNT(*) As Total Count
, SUM(CASE WHEN Position = 1 THEN 1 ELSE 0 END) As [Diag1 Count]
, SUM(CASE WHEN Position = 2 THEN 1 ELSE 0 END) As [Diag2 Count]
, SUM(CASE WHEN Position = 3 THEN 1 ELSE 0 END) As [Diag3 Count]
, SUM(CASE WHEN Position = 4 THEN 1 ELSE 0 END) As [Diag4 Count]
FROM
(
SELECT PtKey, Diagnosis1 As Diagnosis, 1 As Position
FROM [MyTable]
UNION ALL
SELECT PtKey, Diagnosis2 As Diagnosis, 2 As Position
FROM [MyTable]
WHERE Diagnosis2 IS NOT NULL
UNION ALL
SELECT PtKey, Diagnosis3 As Diagnosis, 3 As Position
FROM [MyTable]
WHERE Diagnosis3 IS NOT NULL
UNION ALL
SELECT PtKey, Diagnosis4 As Diagnosis, 4 As Position
FROM [MyTable]
WHERE Diagnosis4 IS NOT NULL
) d
GROUP BY Diagnosis
Borrowing Aaron's fiddle, to avoid needing to rebuild the schema from scratch, and we get this:
https://dbfiddle.uk/?rdbms=sqlserver_2019&fiddle=d1f7f525e175f0f066dd1749c49cc46d
I have this query:
SELECT CAST(co.DateCreated AS DATE) AS Date,
SUM(w.Gross),
SUM(CASE WHEN co.BookingSourceId = 1 THEN 1 ELSE 0 END) as Website,
SUM(CASE WHEN co.BookingSourceId = 2 THEN 1 ELSE 0 END) as Phone,
COUNT(*) as Total_Orders
FROM [Sterlingbuild].[dbo].[CustomerOrder] co
INNER JOIN ( SELECT Gross, CustomerOrderId, p.ProductBrandId
FROM [Sterlingbuild].[dbo].[CustomerOrderItem] coi
INNER JOIN [Sterlingbuild].[dbo].[Product] p ON coi.ProductId = p.ProductId
) w ON co.CustomerOrderId = w.CustomerOrderId
WHERE CustomerOrderStatusId = 7 AND DepartmentId = 1 AND w.ProductBrandId = 7
GROUP BY CAST(co.DateCreated AS DATE)
ORDER BY CAST(co.DateCreated AS DATE)
At the moment it returns the number of orders made by phone/website however I want the total GROSS for both phone/website how do I amend the query to achieve this.
Using SQL server
Sum the gross:
SUM(CASE WHEN co.BookingSourceId = 1 THEN w.gross ELSE 0 END) as Website_gross,
SUM(CASE WHEN co.BookingSourceId = 2 THEN w.gross ELSE 0 END) as Phone_gross,
I have a Tickets table in My database , each Ticket have a status_id (1,2,3)
1: Ticket IN PROGRESS
2: Ticket Out Of time
3: Ticket Closed
I want using SQL to calculate the number of tickets for each status .
Calculate the cumulative total for each Status in a specific Date, I have already a column affectation_Date that contains the date where the status of ticket has been changed .
Use conditional aggregation as
SELECT TicketID,
AffectationDate,
SUM(CASE WHEN StatusID = 1 THEN 1 ELSE 0 END) InProgress,
SUM(CASE WHEN StatusID = 2 THEN 1 ELSE 0 END) OuOfTime,
SUM(CASE WHEN StatusID = 3 THEN 1 ELSE 0 END) Closed,
COUNT(1) Total
FROM Tickets
GROUP BY TicketID,
AffectationDate
ORDER BY TicketID,
AffectationDate;
Or if you want to GROUP BY AffectationDate only
SELECT AffectationDate,
SUM(CASE WHEN StatusID = 1 THEN 1 ELSE 0 END) TotalInProgress,
SUM(CASE WHEN StatusID = 2 THEN 1 ELSE 0 END) TotalOutOfTime,
SUM(CASE WHEN StatusID = 3 THEN 1 ELSE 0 END) TotalClosed,
COUNT(1) TotalStatusThisDate
FROM Tickets
GROUP BY AffectationDate
ORDER BY AffectationDate;
Live Demo
Using conditional counts.
SELECT affectation_Date,
COUNT(CASE WHEN status_id = 1 THEN 1 END) AS TotalInProgress,
COUNT(CASE WHEN status_id = 2 THEN 1 END) AS TotalOutOfTime,
COUNT(CASE WHEN status_id = 3 THEN 1 END) AS TotalClosed
FROM Tickets t
GROUP BY affectation_Date
ORDER BY affectation_Date
you may use the desired filter condition for the date criteria
SELECT COUNT(1), STATUS
FROM tickets
WHERE affectation_Date >= 'someDate'
group by status
Regards
You just need to group by status and count the number of tickets in each group:
select status, count(*) as number
from Tickets
where dt >= '2019-01-01 00:00:00' and dt < '2019-01-02 00:00:00'
group by status
having status >= 1 and status <= 3
This adds the Cumulative Sum to the existing answers:
SELECT AffectationDate,
Sum(CASE WHEN StatusID = 1 THEN 1 ELSE 0 END) AS TotalInProgress,
Sum(CASE WHEN StatusID = 2 THEN 1 ELSE 0 END) AS TotalOutOfTime,
Sum(CASE WHEN StatusID = 3 THEN 1 ELSE 0 END) AS TotalClosed,
Count(*) as TotalStatusThisDate,
Sum(Sum(CASE WHEN StatusID = 1 THEN 1 ELSE 0 END)) Over (ORDER BY AffectationDate) AS cumTotalInProgress,
Sum(Sum(CASE WHEN StatusID = 2 THEN 1 ELSE 0 END)) Over (ORDER BY AffectationDate) AS cumTotalOutOfTime,
Sum(Sum(CASE WHEN StatusID = 3 THEN 1 ELSE 0 END)) Over (ORDER BY AffectationDate) AS cumTotalClosed,
Sum(Count(*)) Over (ORDER BY AffectationDate) AS cumTotalStatusThisDate
FROM Tickets
GROUP BY AffectationDate
ORDER BY AffectationDate;
I have a next problem with query
SELECT
T.DETALLE_BECA_ANIO anio,
T.DETALLE_BECA_MES mes,
T.DETALLE_BECA_NIVEL_EDU_ID edu_id,
T.DETALLE_BECA_TRAMO_ID tr_id,
MAX(
CASE
WHEN T.DETALLE_BECA_TIPO_BENE_ID IS NULL
THEN NVL(DETALLE_BECA_VALOR,0)
ELSE 0
END) mant ,
MAX(
CASE
WHEN T.DETALLE_BECA_TIPO_BENE_ID = 1
THEN NVL(DETALLE_BECA_VALOR,0)
ELSE 0
END) tras
FROM
(SELECT DETALLE_BECA_NIVEL_EDU_ID,
DETALLE_BECA_BECA_ID,
DETALLE_BECA_TIPO_BENE_ID,
DETALLE_BECA_VALOR,
DETALLE_BECA_MES,
DETALLE_BECA_REGION_ID,
DETALLE_BECA_PROVINCIA_ID,
DETALLE_BECA_ANIO,
DETALLE_BECA_TRAMO_ID,
DETALLE_BECA_COMUNA_ID
FROM TBL_DETALLE_BECAS
WHERE (DETALLE_BECA_TIPO_BENE_ID = 1
OR DETALLE_BECA_TIPO_BENE_ID IS NULL)
and DETALLE_BECA_BECA_ID = 1
and detalle_beca_mes = 3
) T
GROUP BY T.DETALLE_BECA_BECA_ID,
T.DETALLE_BECA_TRAMO_ID,
T.DETALLE_BECA_REGION_ID,
T.DETALLE_BECA_PROVINCIA_ID,
T.DETALLE_BECA_ANIO,
T.DETALLE_BECA_MES,
T.DETALLE_BECA_NIVEL_EDU_ID,
T.DETALLE_BECA_COMUNA_ID
ORDER BY T.DETALLE_BECA_BECA_ID,
T.DETALLE_BECA_MES,
T.DETALLE_BECA_NIVEL_EDU_ID
output:
"ANIO" "MES" "EDU_ID" "TR_ID" "MANT" "TRAS"
2017 3 2 0.62 0 NULL
2017 3 3 1.24 6 NULL
2017 3 NULL 1.0 NULL 1
I need that sum value where EDU_ID is null with value 2,3 in TR_ID and replace value null in "tras" with value from EDU is null
"ANIO" "MES" "EDU_ID" "TR_ID" "MANT" "TRAS"
2017 3 2 1.62 0 1
2017 3 3 2.24 6 1
I writed query with min(edu_id) or max(edu_id ) but could not solve my problem.
The other thing that occurred to me is to make a join with the same table
First, this makes more sense as your query:
SELECT T.DETALLE_BECA_ANIO as anio, T.DETALLE_BECA_MES as mes,
T.DETALLE_BECA_NIVEL_EDU_ID as edu_id, T.DETALLE_BECA_TRAMO_ID as tr_id,
MAX(CASE WHEN T.DETALLE_BECA_TIPO_BENE_ID IS NULL
THEN NVL(DETALLE_BECA_VALOR, 0)
ELSE 0
END) as mant ,
MAX(CASE WHEN T.DETALLE_BECA_TIPO_BENE_ID = 1
THEN NVL(DETALLE_BECA_VALOR,0)
ELSE 0
END) tras
FROM TBL_DETALLE_BECAS
WHERE (DETALLE_BECA_TIPO_BENE_ID = 1 OR DETALLE_BECA_TIPO_BENE_ID IS NULL) AND
DETALLE_BECA_BECA_ID = 1 AND
detalle_beca_mes = 3
GROUP BY T.DETALLE_BECA_ANIO, T.DETALLE_BECA_MES,
T.DETALLE_BECA_NIVEL_EDU_ID, T.DETALLE_BECA_TRAMO_ID
ORDER BY T.DETALLE_BECA_BECA_ID, T.DETALLE_BECA_MES, T.DETALLE_BECA_NIVEL_EDU_ID;
This eliminates the subquery (unnecessary) and only aggregates by the columns being returned. A proper query might fix your problem.
But, you seem to want to use NULL to be "all" for the other columns. If so, something like this will work:
WITH t as (
SELECT T.DETALLE_BECA_ANIO as anio, T.DETALLE_BECA_MES as mes,
T.DETALLE_BECA_NIVEL_EDU_ID as edu_id, T.DETALLE_BECA_TRAMO_ID as tr_id,
MAX(CASE WHEN T.DETALLE_BECA_TIPO_BENE_ID IS NULL
THEN NVL(DETALLE_BECA_VALOR, 0)
ELSE 0
END) as mant ,
MAX(CASE WHEN T.DETALLE_BECA_TIPO_BENE_ID = 1
THEN NVL(DETALLE_BECA_VALOR,0)
ELSE 0
END) tras
FROM TBL_DETALLE_BECAS
WHERE (DETALLE_BECA_TIPO_BENE_ID = 1 OR DETALLE_BECA_TIPO_BENE_ID IS NULL) AND
DETALLE_BECA_BECA_ID = 1 AND
detalle_beca_mes = 3
GROUP BY T.DETALLE_BECA_ANIO, T.DETALLE_BECA_MES,
T.DETALLE_BECA_NIVEL_EDU_ID, T.DETALLE_BECA_TRAMO_ID
)
SELECT t.ANIO, t.MES, t.EDU_ID,
COALESCE(t.TR_ID, 0) + COALESCE(tnull.TR_ID, 0) as TR_ID,
t.MANT,
COALESCE(t.TRAS, 0) + COALESCE(tnull.TRAS, 0) as TRAS
FROM t LEFT JOIN
(SELECT t.*
FROM t
WHERE t.edu_id IS NULL
) tnull
ON tnull.ANIO = t.ANIO AND tnull.MES = t.MES
WHERE t.edu_id IS NOT NULL
ORDER BY T.DETALLE_BECA_BECA_ID, T.DETALLE_BECA_MES, T.DETALLE_BECA_NIVEL_EDU_ID;
I would like to filter the result set on the variables that are listed in the CASE statements.
SELECT u.id,
max(t.request_at) AS "Date",
sum(CASE
WHEN t.view = 1 THEN 1
ELSE 0 END) AS ONE,
sum(CASE
WHEN t.view = 2 THEN 1
ELSE 0 END) AS TWO,
sum(CASE
WHEN t.view = 3 THEN 1
ELSE 0 END) AS THREE
FROM users u
JOIN t ON u.id = t.uid
WHERE u.signup_city_id = 18
AND u.creationtime BETWEEN '2013-12-01' AND '2014-01-01'
group by 1
I would really like to filter something along the lines of: WHERE ONE < 3
i.e. Where the column one is smaller than 3.
You would use a having clause:
SELECT u.id, max(t.request_at) AS "Date",
sum(CASE WHEN t.view = 1 THEN 1 ELSE 0 END) AS ONE,
sum(CASE WHEN t.view = 2 THEN 1 ELSE 0 END) AS TWO,
sum(CASE WHEN t.view = 3 THEN 1 ELSE 0 END) AS THREE
FROM users u JOIN
t
ON u.id = t.uid
WHERE u.signup_city_id = 18 AND u.creationtime BETWEEN '2013-12-01' AND '2014-01-01'
group by 1
HAVING sum(CASE WHEN t.view = 1 THEN 1 ELSE 0 END) < 3;
Or use a subquery:
SELECT t.*
FROM (SELECT u.id, max(t.request_at) AS "Date",
sum(CASE WHEN t.view = 1 THEN 1 ELSE 0 END) AS ONE,
sum(CASE WHEN t.view = 2 THEN 1 ELSE 0 END) AS TWO,
sum(CASE WHEN t.view = 3 THEN 1 ELSE 0 END) AS THREE
FROM users u JOIN
t
ON u.id = t.uid
WHERE u.signup_city_id = 18 AND u.creationtime BETWEEN '2013-12-01' AND '2014-01-01'
group by 1
) t
WHERE ONE < 3;
You need to wrap it into a derived table:
select *
from (
SELECT u.id,
max(t.request_at) AS "Date",
sum(CASE
WHEN t.view = 1 THEN 1
ELSE 0 END) AS ONE,
sum(CASE
WHEN t.view = 2 THEN 1
ELSE 0 END) AS TWO,
sum(CASE
WHEN t.view = 3 THEN 1
ELSE 0 END) AS THREE
FROM users u
JOIN t ON u.id = t.uid
WHERE u.signup_city_id = 18
AND u.creationtime BETWEEN '2013-12-01' AND '2014-01-01'
group by 1
) t
WHERE ONE < 3
You can use the result of the SUM of the CASE statement in your WHERE clause like this:
SELECT u.id,
max(t.request_at) AS "Date",
SUM(CASE
WHEN t.view = 1 THEN 1
ELSE 0 END) AS ONE,
SUM(CASE
WHEN t.view = 2 THEN 1
ELSE 0 END) AS TWO,
SUM(CASE
WHEN t.view = 3 THEN 1
ELSE 0 END) AS THREE
FROM users u
JOIN t ON u.id = t.uid
WHERE u.signup_city_id = 18
AND u.creationtime BETWEEN '2013-12-01' AND '2014-01-01'
GROUP BY 1
HAVING SUM(CASE
WHEN t.view = 1 THEN 1
ELSE 0 END) < 3