I have a query that returns among others a Record Status column. The record status column has several values like: "Active", "Deleted", etc ...
I need to order the results by "Active", then "Deleted", then etc ...
I am currently creating CTEs to bring each set of records then UNION ALL. Is there a better and dynamic way of getting the query done?
Thank you,
you can use CASE on here
ORDER BY CASE WHEN Status = 'Active' THEN 0 ELSE 1 END ASC
but if you have more values for status and you want to sort Active then DELETE
ORDER BY CASE WHEN Status = 'Active' THEN 0
WHEN Status = 'Deleted' THEN 1
ELSE 2
END ASC
For more status values, you can do this:
WITH StatusOrders
AS
(
SELECT StatusOrderID, StatusName
FROM (VALUES(1, 'Active'),
(2, 'Deleted'),
...
n, 'last status')) AS Statuses(StatusOrderID, StatusName)
)
SELECT *
FROM YourTable t
INNER JOIN StatusOrders s ON t.StatusName = s.StatusName
ORDER BY s.StatusOrderID;
WITH
cteRiskStatus
AS
(
SELECT RiskStatusID, RiskStatusName
FROM (VALUES(1, 'Active'),
(2, 'Draft'),
(3, 'Occured'),
(4, 'Escalated'),
(5, 'Closed'),
(6, 'Expired'),
(7, 'Deleted')) AS RiskStatuses(RiskStatusID, RiskStatusName)
)
SELECT * FROM cteRiskStatus
Thanks
Related
I have a scenario where I need to rename a value in one column, based on another column's total. Example table below with basic math, to express concept. I'd like to change the value in 'Condition' column to "Used" for the rows that make up 70% of the 'Revenue' column (which in this example would be 7 rows). The other 30% would be renamed to "New" (the remaining 3 rows). No other specific logic required.
I found that the approach mentioned here works for selecting the percentage of rows required
Select Rows who's Sum Value = 80% of the Total
I suppose I could create two temporary tables, rename the column fields in each respective table, and then join together. Curious if there is an easier way?
Current Table:
Source
Condition
Revenue
A
Old
1
B
New
1
C
Old
1
D
New
1
E
Old
1
F
New
1
G
Old
1
H
New
1
I
Old
1
J
New
1
New Table:
Source
Condition
Revenue
A
Used
1
B
Used
1
C
Used
1
D
Used
1
E
Used
1
F
Used
1
G
Used
1
H
New
1
I
New
1
J
New
1
You could do this with two updates. The first would update the entire table. The second would update the first 70%.
First we need sample data in a table. I used a table variable here but you would use your actual table.
declare #Something table
(
Source char(1)
, Condition varchar(10)
, Revenue int
)
insert #Something values
('A', 'Old', 1)
, ('B', 'New', 1)
, ('C', 'Old', 1)
, ('D', 'New', 1)
, ('E', 'Old', 1)
, ('F', 'New', 1)
, ('G', 'Old', 1)
, ('H', 'New', 1)
, ('I', 'Old', 1)
, ('J', 'New', 1)
select *
from #Something;
Next simply update the entire table.
update #Something
set Condition = 'New';
Last step is to update the first 70%. An easy to do this is to use a cte to select the first 70% and then update the cte.
with Top70 as
(
select top 70 percent *
from #Something
order by Source
)
update Top70
set Condition = 'Used';
Here is the final output.
select *
from #Something;
--EDIT--
Now understanding we need a running total you could do something like this.
select *
, case when sum(Revenue) over(order by Source) > (sum(Revenue) over() * .7) then 'New' else 'Old' end
from #Something
You can select/mark the 70% and 30% records using this query :
with cte as (
SELECT *, SUM(revenue) OVER(ORDER BY source) AS cumulative_revenue, SUM(revenue) OVER() as total
FROM mytable t
)
select Source, iif((cumulative_revenue + 0.0) /total <= 0.7, 'Used', 'New') as Condition, revenue, cumulative_revenue, (cumulative_revenue + 0.0) /total as perc
from cte
Demo here
You could chain a couple of CTEs to run the UPDATE
DROP TABLE IF EXISTS #t
CREATE TABLE #t([Source] VARCHAR(10), [Condition] VARCHAR(10), Revenue INT)
INSERT INTO #t([Source], [Condition], [Revenue])
values
('A', 'Old', 1)
,('B', 'New', 1)
,('C', 'Old', 1)
,('D', 'New', 1)
,('E', 'Old', 1)
,('F', 'New', 1)
,('G', 'Old', 1)
,('H', 'New', 1)
,('I', 'Old', 1)
,('J', 'New', 1)
;WITH cte AS (
SELECT *, SUM( Revenue) OVER (ORDER BY Source) ACC
FROM #t
), cte2 as(
SELECT MAX(acc)*1. TotalRevenue FROM cte
)
UPDATE cte
SET Condition = CASE WHEN Acc / TotalRevenue <= .7 THEN 'Used' ELSE 'New' END
FROM cte
CROSS APPLY (SELECT TotalRevenue FROM cte2) ca
SELECT * FROM #t
I'm trying to group by a primary column and a secondary column. I want to ignore NULL in the secondary column unless it's the only value.
CREATE TABLE #tempx1 ( Id INT, [Foo] VARCHAR(10), OtherKeyId INT );
INSERT INTO #tempx1 ([Id],[Foo],[OtherKeyId]) VALUES
(1, 'A', NULL),
(2, 'B', NULL),
(3, 'B', 1),
(4, 'C', NULL),
(5, 'C', 1),
(6, 'C', 2);
I'm trying to get output like
Foo OtherKeyId
A NULL
B 1
C 1
C 2
This question is similar, but takes the MAX of the column I want, so it ignores other non-NULL values and won't work.
I tried to work out something based on this question, but I don't quite understand what that query does and can't get my output to work
-- Doesn't include Foo='A', creates duplicates for 'B' and 'C'
WITH cte AS (
SELECT *,
ROW_NUMBER() OVER (PARTITION BY [Foo] ORDER BY [OtherKeyId]) rn1
FROM #tempx1
)
SELECT c1.[Foo], c1.[OtherKeyId], c1.rn1
FROM cte c1
INNER JOIN cte c2 ON c2.[OtherKeyId] = c1.[OtherKeyId] AND c2.rn1 = c1.rn1
This is for a modern SQL Server: Microsoft SQL Server 2019
You can use a GROUP BY expression with HAVING clause like below one
SELECT [Foo],[OtherKeyId]
FROM #tempx1 t
GROUP BY [Foo],[OtherKeyId]
HAVING SUM(CASE WHEN [OtherKeyId] IS NULL THEN 0 END) IS NULL
OR ( SELECT COUNT(*) FROM #tempx1 WHERE [Foo] = t.[Foo] ) = 1
Demo
Hmmm . . . I think you want filtering:
select t.*
from #tempx1 t
where t.otherkeyid is not null or
not exists (select 1
from #tempx1 t2
where t2.foo = t.foo and t2.otherkeyid is not null
);
My actual problem is a bit more complicated than presented here, I ended up using the idea from Barbaros Özhan solution to count the number of items. This ends up with two inner queries on the data set with two different GROUP BY. I'm able to get the results I need on my real dataset using a query like the following:
SELECT
a.[Foo],
b.[OtherKeyId]
FROM (
SELECT
[Foo],
COUNT([OtherKeyId]) [C]
FROM #tempx1 t
GROUP BY [Foo]
) a
JOIN (
SELECT
[Foo],
[OtherKeyId]
FROM #tempx1 t
GROUP BY [Foo], [OtherKeyId]
) b ON b.[Foo] = a.[Foo]
WHERE
(b.[OtherKeyId] IS NULL AND a.[C] = 0)
OR (b.[OtherKeyId] IS NOT NULL AND a.[C] > 0)
I am looking at different breeds of cattle and their AnimalTypeCode , BreedCateoryID and resultant Growth.
I have the following query
SELECT DATEPART(yyyy,[KillDate])
,[AnimalTypeCode]
,AVG([Growth])
,[BreedCategoryID]
FROM [dbo].[tblAnimal]
WHERE (AnimalTypeCode='C'
or AnimalTypeCode= 'E')
GROUP BY DATEPART(yyyy,[KillDate])
,[AnimalTypeCode]
,[BreedCategoryID]
GO
This query is good and gives me almost what I want, but BreedCategoryID is numbered 1 through 7 and I would like to group them:
(1 = Pure Dairy),
(2 and 3 = Dairy)
(4, 5, 6 and 7 = Beef)
So instead of getting the mean Growthrate for each BreedCategoryID I would like to get the average for Pure Dairy, Dairy, and Beef.
Any help greatly appreciated!
You can assign a new "variable" using cross apply in the from clause:
SELECT YEAR(KillDate]), a.AnimalTypeCode, v.grp,
AVG([Growth])
FROM [dbo].[tblAnimal] a CROSS APPLY
(VALUES (CASE WHEN a.BreedCategoryID IN (1) THEN 'Pure Dairy'
WHEN a.BreedCategoryID IN (2, 3) THEN 'Dairy'
WHEN a.BreedCategoryID IN (4, 5, 6, 7) THEN 'Beef'
END)
) as v(grp)
WHERE a.AnimalTypeCode IN ('C', 'E')
GROUP BY YEAR(KillDate]), a.AnimalTypeCode, v.grp;
Note that I also introduced table aliases and qualified all the column references.
Do the calculations in a derived table (the subquery). GROUP BY its result:
select killyear, [AnimalTypeCode], AVG([Growth]), BreedCat
(
SELECT DATEPART(yyyy,[KillDate]) killyear
,[AnimalTypeCode]
,[Growth]
,case when [BreedCategoryID] = 1 then 'Pure Dairy'
when [BreedCategoryID] in (2, 3) then 'Dairy'
when [BreedCategoryID] in (4, 5, 6, 7) then 'Beef'
end BreedCat
FROM [dbo].[tblAnimal]
WHERE (AnimalTypeCode='C'
or AnimalTypeCode= 'E')
) dt
GROUP BY killyear
,[AnimalTypeCode]
,BreedCat
I have some sample data like:
INSERT INTO mytable
([FK_ID], [TYPE_ID])
VALUES
(10, 1),
(11, 1), (11, 2),
(12, 1), (12, 2), (12, 3),
(14, 1), (14, 2), (14, 3), (14, 4),
(15, 1), (15, 2), (15, 4)
Now, here I am trying to check if in each group by FK_ID we have exact match of TYPE_ID values for 1, 2 & 3.
So, the expected output is like:
(10, 1) this should fail
As in group FK_ID = 10 we only have one record
(11, 1), (11, 2) this should also fail
As in group FK_ID = 11 we have two records.
(12, 1), (12, 2), (12, 3) this should pass
As in group FK_ID = 12 we have two records.
And all the TYPE_ID are exactly matching 1, 2 & 3 values.
(14, 1), (14, 2), (14, 3), (14, 4) this should also fail
As we have 4 records here.
(15, 1), (15, 2), (15, 4) this should also fail
Even though we have three records, it should fail as the TYPE_ID here (1, 2, 4) are not matching with required match (1, 2, 3).
Here is my attempt:
select * from mytable t1
where exists (select COUNT(t2.TYPE_ID)
from mytable t2 where t2.FK_ID = t1.FK_ID
and t2.TYPE_ID IN (1, 2, 3)
group by t2.FK_ID having COUNT(t2.TYPE_ID) = 3);
This is not working as expected, because it also pass for FK_ID = 14 which has four records.
Demo: SQL Fiddle
Also, how we can make it generic so that if we need to check for 4 or more TYPE_ID values like (1,2,3,4) or (1,2,3,4,5), we can do that easily by updating few values.
The following query will do what you want:
select fk_id
from t
group by fk_id
having sum(case when type_id in (1, 2, 3) then 1 else 0 end) = 3 and
sum(case when type_id not in (1, 2, 3) then 1 else 0 end) = 0;
This assumes that you have no duplicate pairs (although depending on how you want to handle duplicates, it might be as easy as using, from (select distinct * from t) t).
As for "genericness", you need to update the in lists and the 3.
If you want something more generic:
with vals as (
select id
from (values (1), (2), (3)) v(id)
)
select fk_id
from t
group by fk_id
having sum(case when type_id in (select id from vals) then 1 else 0 end) = (select count(*) from vals) and
sum(case when type_id not in (select id from vals) then 1 else 0 end) = 0;
You can use this code:
SELECT y.fk_id FROM
(SELECT x.fk_id, COUNT(x.type_id) AS count, SUM(x.type_id) AS sum
FROM mytable x GROUP BY (x.fk_id)) AS y
WHERE y.count = 3 AND y.sum = 6
For making it generic, you can equal y.count with N and y.sum with N*(N-1)/2, where N is the number you are looking for (1, 2, ..., N).
You can try this query. COUNT and DISTINCT used for eliminate duplicate records.
SELECT
[FK_ID]
FROM
#mytable T
GROUP BY
[FK_ID]
HAVING
COUNT(DISTINCT CASE WHEN [TYPE_ID] IN (1,2,3) THEN [TYPE_ID] END) = 3
AND COUNT(CASE WHEN [TYPE_ID] NOT IN (1,2,3) THEN [TYPE_ID] END) = 0
Try this:
select FK_ID,count(distinct TYPE_ID) from mytable
where TYPE_ID<=3
group by FK_ID
having count(distinct TYPE_ID)=3
You should use CTE with Dynamic pass Value which you have mentioned in Q.
WITH CTE
AS (
SELECT FK_ID,
COUNT(*) CNT
FROM #mytable
GROUP BY FK_ID
HAVING COUNT(*) = 3) <----- Pass Value here What you want to Display Result,
CTE1
AS (
SELECT T.[ID],
T.[FK_ID],
T.[TYPE_ID],
ROW_NUMBER() OVER(PARTITION BY T.[FK_ID] ORDER BY
(
SELECT NULL
)) RN
FROM #mytable T
INNER JOIN CTE C ON C.FK_ID = T.FK_ID),
CTE2
AS (
SELECT C1.FK_ID
FROM CTE1 C1
GROUP BY C1.FK_ID
HAVING SUM(C1.TYPE_ID) = SUM(C1.RN))
SELECT TT1.*
FROM CTE2 C2
INNER JOIN #mytable TT1 ON TT1.FK_ID = C2.FK_ID;
From above SQL Command which will produce Result (I have passed 3) :
ID FK_ID TYPE_ID
4 12 1
5 12 2
6 12 3
So in this case I want to display every ID where the corresponding value is 1. However, in the case below where the ID is 4, I don't want it to display the 4's where the value is 1, I just want it to not show 4 at all. If I do a WHERE value LIKE '1', it'll show me the two IDs of 4 where the value is 1. Is there a way to not show 4 at all? Thanks in advance.
ID:.......1...2...3...4...4...4...5
Value:....1...1...1...1...2...1...1
(This is on Microsoft SQL Server management studio by the way)
If you just want the ids, then use aggregation:
select id
from t
group by id
having min(value) = 1 and max(value) = 1;
To add on Gordon's answer
I would add a count since it seems your data has multiple 1s in that case if you have two 1s you'd have it as both min and max
select id
from t
group by id
having min(value) = 1 and max(value) = 1 and count(value) = 1;
You could also use
select id from t group by id having sum(value) = 1 and count(value) = 1;
with cte as (
select * from (values
(1, 1),
(2, 1),
(3, 1),
(4, 1),
(4, 2),
(4, 1),
(5, 1)
) as x(ID, Value)
)
select *
from cte
where ID not in (
select ID
from cte
where Value > 1
);