SELECT Column_A, SUM(CASE WHEN COLUMN_B = 'x' THEN 1 ELSE 'SET SUM TO 0' END) as total
FROM table
GROUP BY Column_A
ORDER BY Month
Is there a way to set the value of sum to 0 , I am trying to find the sum of last consecutive x value for cloumn_B if the consecution breaks I need to set the sum to 0
Table
ColumnA Column B Month
A x 1
A x 2
A x 3
A y 4
B x 1
B y 2
B x 3
B x 4
C x 1
C x 2
C y 3
C x 4
The expected result is:
A 0
B 2
C 1
EDIT:
DECLARE #TEMP TABLE (columnA varchar(50), maxMonth int )
INSERT INTO #TEMP (columnA, maxMonth)
SELECT columnA, MAX([Month]) FROM [table]
WHERE columnB != 'x'
GROUP BY columnA
SELECT original.columnA, SUM(CASE when original.[Month] > withMax.maxMonth THEN 1 ELSE 0 END) AS TOTAL
FROM #TEMP withMax JOIN [table] original ON withMax.columnA = original.columnA
WHERE original.columnB = 'x'
GROUP BY original.columnA
This query should work for you.
Just try this
SELECT Column_A, SUM(CASE WHEN COLUMN_B = 'x' THEN 1 ELSE 0 END) as total
FROM table
GROUP BY Column_A
ORDER BY some_date
SUM cannot be used for non-numeric data types
If you use, you will get error
Operand data type char is invalid for sum operator.
SELECT Column_A, ISNULL(CAST(SUM(CASE WHEN COLUMN_B = 'x' THEN 1 END) AS VARCHAR),'SET SUM TO 0') AS total
FROM table
GROUP BY Column_A
ORDER BY some_date
Related
I've this sp, which return a list of data, for each "month" (i.e. each row is a month). Somethings like that:
SELECT
*,
(CAST(t1.NumActivities AS DECIMAL) / t1.NumVisits) * 100 AS PercAccepted,
(CAST(t1.Accepted AS DECIMAL) / t1.Estimated) * 100 AS PercValue
FROM
(SELECT
MONTH(DateVisit) AS Month,
COUNT(*) AS NumVisits,
SUM(CASE WHEN DateActivity is not null THEN 1 ELSE 0 END) AS NumActivities,
SUM(Estimate) AS Estimated,
SUM(CASE WHEN DateActivity is not null THEN Estimate ELSE 0 END) AS Accepted
FROM [dbo].[Activities]
WHERE
DateVisit IS NOT NULL
AND (#year IS NULL OR YEAR(DateVisit) = #year)
AND (#clinicID IS NULL OR ClinicID = #clinicID)
GROUP BY MONTH(DateVisit)) t1
This is a result:
Month NumVisits NumActivities Estimated Accepted PercAccepted PercValue
1 5 1 13770.00 2520.00 20.00000000000 18.30065359477124
2 2 2 7900.00 7900.00 100.00000000000 100.00000000000000
3 1 0 2730.00 0.00 0.00000000000 0.00000000000000
8 1 1 3000.00 3000.00 100.00000000000 100.00000000000000
But as you can see, I could "miss" some Month (for example, here April "4" is missed).
Is it possible to insert, for the missing month/row, an empty (0) record? Such as:
Month NumVisits NumActivities Estimated Accepted PercAccepted PercValue
1 5 1 13770.00 2520.00 20.00000000000 18.30065359477124
2 2 2 7900.00 7900.00 100.00000000000 100.00000000000000
3 1 0 2730.00 0.00 0.00000000000 0.00000000000000
4 0 0 0 0 0 0
...
Here is a example with sample data:
CREATE TABLE #Report
(
Id INT,
Name nvarchar(max),
Percentage float
)
INSERT INTO #Report VALUES (1,'ONE',2.01)
INSERT INTO #Report VALUES (2,'TWO',3.01)
INSERT INTO #Report VALUES (5,'Five',5.01)
;WITH months(Month) AS
(
SELECT 1
UNION ALL
SELECT Month+1
FROM months
WHERE Month < 12
)
SELECT *
INTO #AllMonthsNumber
from months;
Your select query:
The left join will gives you the NULL for other months so just use ISNULL('ColumnName','String_to_replace')
\/\/\/\/
SELECT Month, ISNULL(Name,0), ISNULL(Percentage,0)
FROM AllMonthsNumber A
LEFT JOIN #Report B
ON A.Month = B.Id
EDIT:
Yes you can do it without creating AllMonthNumber Table:
You can use master..spt_values (found here) system table which contains the numbers so just with some where condition.
SELECT Number as Month, ISNULL(B.Name,0), ISNULL(Percentage,0)
FROM master..spt_values A
LEFT JOIN #Report B ON A.Number = B.Id
WHERE Type = 'P' AND number BETWEEN 1 AND 12
I'm trying to generate the numbers in the "x" column considering the values in field "eq", in a way that it should assign a number for every record until it meets the value "1", and the next row should reset and start counting again. I've tried with row_number, but the problem is that I only have ones and zeros in the column I need to evaluate, and the cases I've seen using row_number were using growing values in a column. Also tried with rank, but I haven't managed to make it work.
nInd Fecha Tipo #Inicio #contador_I #Final #contador_F eq x
1 18/03/2002 I 18/03/2002 1 null null 0 1
2 20/07/2002 F 18/03/2002 1 20/07/2002 1 1 2
3 19/08/2002 I 19/08/2002 2 20/07/2002 1 0 1
4 21/12/2002 F 19/08/2002 2 21/12/2002 2 1 2
5 17/03/2003 I 17/03/2003 3 21/12/2002 2 0 1
6 01/04/2003 I 17/03/2003 4 21/12/2002 2 0 2
7 07/04/2003 I 17/03/2003 5 21/12/2002 2 0 3
8 02/06/2003 F 17/03/2003 5 02/06/2003 3 0 4
9 31/07/2003 F 17/03/2003 5 31/07/2003 4 0 5
10 31/08/2003 F 17/03/2003 5 31/08/2003 5 1 6
11 01/09/2005 I 01/09/2005 6 31/08/2003 5 0 1
12 05/09/2005 I 01/09/2005 7 31/08/2003 5 0 2
13 31/12/2005 F 01/09/2005 7 31/12/2005 6 0 3
14 14/01/2006 F 01/09/2005 7 14/01/2006 7 1 4
There is another solution available:
select
nind, eq, row_number() over (partition by s order by s)
from (
select
nind, eq, coalesce((
select sum(eq) +1 from mytable pre where pre.nInd < mytable.nInd)
,1) s --this is the sum of eq!
from mytable) g
The inner subquery creates groups sequentially for each occurrence of 1 in eq. Then we can use row_number() over partition to get our counter.
Here is an example using Sql Server
I have two answers here. One is based off of the ROW_NUMBER() and the other is based off of what appears to be your index (nInd). I wasn't sure if there would be a gap in your index so I made the ROW_NUMBER() as well.
My table format was as follows -
myIndex int identity(1,1) NOT NULL
number int NOT NULL
First one is ROW_NUMBER()...
WITH rn AS (SELECT *, ROW_NUMBER() OVER (ORDER BY myIndex) AS rn, COUNT(*) AS max
FROM counting c GROUP BY c.myIndex, c.number)
,cte (myIndex, number, level, row) AS (
SELECT r.myIndex, r.number, 1, r.rn + 1 FROM rn r WHERE r.rn = 1
UNION ALL
SELECT r1.myIndex, r1.number,
CASE WHEN r1.number = 0 AND r2.number = 1 THEN 1
ELSE c.level + 1
END,
row + 1
FROM cte c
JOIN rn r1
ON c.row = r1.rn
JOIN rn r2
ON c.row - 1 = r2.rn
)
SELECT c.myIndex, c.number, c.level FROM cte c OPTION (MAXRECURSION 0);
Now the index...
WITH cte (myIndex, number, level) AS (
SELECT c.myIndex + 1, c.number, 1 FROM counting c WHERE c.myIndex = 1
UNION ALL
SELECT c1.myIndex + 1, c1.number,
CASE WHEN c1.number = 0 AND c2.number = 1 THEN 1
ELSE c.level + 1
END
FROM cte c
JOIN counting c1
ON c.myIndex = c1.myIndex
JOIN counting c2
ON c.myIndex - 1 = c2.myIndex
)
SELECT c.myIndex - 1 AS myIndex, c.number, c.level FROM cte c OPTION (MAXRECURSION 0);
The answer that I have now is via using
Cursor
I know if there is another solution without cursor it will be better for performance aspects
here is a quick demo of my solution:
-- Create DBTest
use master
Go
Create Database DBTest
Go
use DBTest
GO
-- Create table
Create table Tabletest
(nInd int , eq int)
Go
-- insert dummy data
insert into Tabletest (nInd,eq)
values (1,0),
(2,1),
(3,0),
(4,1),
(5,0),
(6,0),
(7,0),
(8,0),
(9,1),
(8,0),
(9,1)
Create table #Tabletest (nInd int ,eq int ,x int )
go
DECLARE #nInd int , #eq int , #x int
set #x = 1
DECLARE db_cursor CURSOR FOR
SELECT nInd , eq
FROM Tabletest
order by nInd
OPEN db_cursor
FETCH NEXT FROM db_cursor INTO #nInd , #eq
WHILE ##FETCH_STATUS = 0
BEGIN
if (#eq = 0)
begin
insert into #Tabletest (nInd ,eq ,x) values (#nInd , #eq , #x)
set #x = #x +1
end
else if (#eq = 1)
begin
insert into #Tabletest (nInd ,eq ,x) values (#nInd , #eq , #x)
set #x = 1
end
FETCH NEXT FROM db_cursor INTO #nInd , #eq
END
CLOSE db_cursor
DEALLOCATE db_cursor
select * from #Tabletest
The end result set will be as following:
Hope it helps.
Looking at this a slightly different way (which might not be true, but eliminates the need for cursors of recursive CTEs), it looks like you building ordered groups within your dataset. So, start by finding those groups, then determining the ordering of each of them.
The real key is to determine the rules to find the correcting grouping. Based on your description and comments, I'm guessing the grouping is from the start (ordered by the nInd column) ending at each row with and eq value of 1, so you can do something like:
;with ends(nInd, ord) as (
--Find the ending row for each set
SELECT nInd, row_number() over(order by nInd)
FROM mytable
WHERE eq=1
), ranges(sInd, eInd) as (
--Find the previous ending row for each ending row, forming a range for the group
SELECT coalesce(s.nInd,0), e.nInd
FROM ends s
right join ends e on s.ord=e.ord-1
)
Then, using these group ranges, you can find the final ordering of each:
select t.nInd, t.Fecha, t.eq
,[x] = row_number() over(partition by sInd order by nInd)
from ranges r
join mytable t on r.sInd < t.nInd
and t.nInd <= r.eInd
order by t.nInd
Here is the Table :
If OBJECT_ID ('tempdb..##SelfCount') Is not null
drop table #SelfCount
create table #SelfCount (CanID int , CanType int)
insert into #SelfCount (CanID, CanType)
values
(1,0),
(2,0),
(1,1),
(2,1),
(1,2),
(1,2),
(1,0)
CanID CanType
1 0
2 0
1 1
2 1
1 2
1 2
1 0
I'm Expecting the result to be like this
CanID Self Spouse Dependent
1 2 1 2
2 1 1 0/NULL --It doesn't matter if it's nUll or 0
I wrote this query
select CanID,
case
When CanType = 0 then count(CanType)
end as [self],
case
when CanType = 1 then count(CanType)
end as [Spouse],
Case
When CanType = 2 then count(CanType)
end as [Dependent]
from #SelfCount
Group by CanID, CanType
But the Result Set is like this :
CanID Self Spouse Dependent
1 2 NULL NULL
2 1 NULL NULL
1 NULL 1 NULL
2 NULL 1 NULL
1 NULL NULL 2
I've tried the Recursive method, If anyone could provide both Recursive as well as Set processing method, it'll be greatly appreciated.
By including the CanType in the group by clause, you're getting a separate result row per distinct value of CanType (and CanId, since it's also contained in the group by clause).
Instead, you should only have CanId in the group by clause, and apply different counts on case expressions:
SELECT CanID,
COUNT (CASE CanType WHEN 0 THEN 1 END) AS [Self],
COUNT (CASE CanType WHEN 1 THEN 1 END) AS [Spouse],
COUNT (CASE CanType WHEN 2 THEN 1 END) AS [Dependent],
FROM #SelfCount
GROUP BY CanID
May be this is what you need:
select CanID,
sum(case when CanType = 0 then 1 else 0 end) as [Self],
sum(case when CanType = 1 then 1 else 0 end) as [Spouse],
sum(case when CanType = 2 then 1 else 0 end) as [Dependent]
from #SelfCount
group by CanID
You can try with PIVOT:
select
CanID,
[0] as Self,
[1] as Spouse,
[2] as Dependent
from tab
pivot
(
count (CanType)
for CanType IN ([0], [1], [2])
) as pvt
Basically, it will group by all columns not declared inside the PIVOT clause (actually, just the CanID) and then create three aggregation COUNT columns, one FOR each CanType IN the list of values. If you need to count more values, just define them in the IN clause and in the SELECT clause.
I am using SQL Server 2012 and I know it is quite simple to calculate moving averages.
But what I need is to get the mode and the median for a defined window frame like so (with a window of 2 preceding to current row; month unique):
MONTH | CODE | MEDIAN | MODE
1 0 0 0
2 3 1.5 0
3 2 2 0
4 2 2 2
5 2 2 2
6 5 2 2
7 3 3 2
If several values qualify as mode, than pick the first.
I commented my code thoroughly. Read my comments on my Mode calculations and let me know it needs tweaking. Overall, it's a relatively simple query. It just has a lot of ugly subqueries and it has a lot of comments. Check it out:
DECLARE #Table TABLE ([Month] INT,[Code] INT);
INSERT INTO #Table
VALUES (1,0),
(2,3),
(3,2),
(4,2), --Try commenting this out to test my special mode thingymajig
(5,2),
(6,5),
(7,3);
WITH CTE
AS
(
SELECT ROW_NUMBER() OVER (ORDER BY [Month]) row_num,
[Month],
CAST(Code AS FLOAT) Code
FROM #Table
)
SELECT [Month],
Code,
ISNULL((
SELECT CASE
--When there is only one previous value at row_num = 2, find Mean of first two codes
WHEN A.row_num = 2 THEN (LAG(B.code,1) OVER (ORDER BY [Code]) + B.Code)/2.0
--Else find middle code value of current and previous two rows
ELSE B.Code
END
FROM CTE B
--How subquery relates to outer query
WHERE B.row_num BETWEEN A.row_num - 2 AND A.row_num
ORDER BY B.[Code]
--Order by code and offset by 1 so don't select the lowest value, but fetch the one above the lowest value
OFFSET 1 ROW FETCH NEXT 1 ROW ONLY),
0) AS Median,
--I did mode a little different
--Instead of Avg(D.Code) you could list the values because with mode,
--If there's a tie with more than one of each number, you have multiple modes
--Instead of doing that, I simply return the mean of the tied modes
--When there's one, it doesn't change anything.
--If you were to delete the month 4, then your number of Codes 2 and number of Codes 3 would be the same in the last row.
--Proper mode would be 2,3. I instead average them out to be 2.5.
ISNULL((
SELECT AVG(D.Code)
FROM (
SELECT C.Code,
COUNT(*) cnt,
DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) dnse_rank
FROM CTE C
WHERE C.row_num <= A.row_num
GROUP BY C.Code
HAVING COUNT(*) > 1) D
WHERE D.dnse_rank = 1),
0) AS Mode
FROM CTE A
Results:
Month Code Median Mode
----------- ---------------------- ---------------------- ----------------------
1 0 0 0
2 3 1.5 0
3 2 2 0
4 2 2 2
5 2 2 2
6 5 2 2
7 3 3 2
If I understood your requirements correctly, your source table contains MONTH and CODE columns, and you want to calculate MEDIAN and MODE.
The query below calculates MEDIAN and MODE with moving window <= than 3 month ("2 preceding to current row") and returns the results matching your example.
-----------------------------------------------------
--Demo data
-----------------------------------------------------
CREATE TABLE #Data(
[Month] INT NOT NULL,
[Code] INT NOT NULL,
CONSTRAINT [PK_Data] PRIMARY KEY CLUSTERED
(
[Month] ASC
));
INSERT #Data
([Month],[Code])
VALUES
(1,0),
(2,3),
(3,2),
(4,2),
(5,2),
(6,5),
(7,3);
-----------------------------------------------------
--Query
-----------------------------------------------------
DECLARE #PrecedingRowsLimit INT = 2;
WITH [MPos] AS
(
SELECT [R].[Month]
, [RB].[Month] AS [SubId]
, [RB].[Code]
, ROW_NUMBER() OVER(PARTITION BY [R].[Month] ORDER BY [RB].[Code]) AS [RowNumberInPartition]
, CASE
WHEN [R].[Count] % 2 = 1 THEN ([R].[Count] + 1) / 2
ELSE NULL
END AS [MedianPosition]
, CASE
WHEN [R].[Count] % 2 = 0 THEN [R].[Count] / 2
ELSE NULL
END AS [MedianPosition1]
, CASE
WHEN [R].[Count] % 2 = 0 THEN [R].[Count] / 2 + 1
ELSE NULL
END AS [MedianPosition2]
FROM
(
SELECT [RC].[Month]
, [RC].[RowNumber]
, CASE WHEN [RC].[Count] > #PrecedingRowsLimit + 1 THEN #PrecedingRowsLimit + 1 ELSE [RC].[Count] END AS [Count]
FROM
(
SELECT [Month]
, ROW_NUMBER() OVER(ORDER BY [Month]) AS [RowNumber]
, ROW_NUMBER() OVER(ORDER BY [Month]) AS [Count]
FROM #Data
) [RC]
) [R]
INNER JOIN #Data [RB]
ON [R].[Month] >= [RB].[Month]
AND [RB].[Month] >= [R].[RowNumber] - #PrecedingRowsLimit
)
SELECT DISTINCT [M].[Month]
, [ORIG].[Code]
, COALESCE([ME].[Code],([M1].[Code] + [M2].[Code]) / 2.0) AS [Median]
, [MOD].[Mode]
FROM [MPos] [M]
LEFT JOIN [MPOS] [ME]
ON [M].[Month] = [ME].[Month]
AND [M].[MedianPosition] = [ME].[RowNumberInPartition]
LEFT JOIN [MPOS] [M1]
ON [M].[Month] = [M1].[Month]
AND [M].[MedianPosition1] = [M1].[RowNumberInPartition]
LEFT JOIN [MPOS] [M2]
ON [M].[Month] = [M2].[Month]
AND [M].[MedianPosition2] = [M2].[RowNumberInPartition]
INNER JOIN
(
SELECT [MG].[Month]
, FIRST_VALUE([MG].[Code]) OVER (PARTITION BY [MG].[Month] ORDER BY [MG].[Count] DESC , [MG].[SubId] ASC) AS [Mode]
FROM
(
SELECT [Month] , MIN([SubId]) AS [SubId], [Code] , COUNT(1) AS [Count]
FROM [MPOS]
GROUP BY [Month] , [Code]
) [MG]
) [MOD]
ON [M].[Month] = [MOD].[Month]
INNER JOIN #Data [ORIG]
ON [ORIG].[Month] = [M].[Month]
ORDER BY [M].[Month];
I want to create a report which aggregates the number of activities per customer per week.
If there has been no activites on that customer for a given week, 0 should be displayed (i.e week 3 and 4 in the sample below)
CUSTOMER | #ACTIVITIES | WEEKNUMBER
A | 4 | 1
A | 2 | 2
A | 0 | 3
A | 0 | 4
A | 1 | 5
B ...
C ...
The problem is that if there are no activities there is no data to report on and therefor week 3 and 4 in the sample below is not in the report.
What is the "best" way to solve this?
Try this:
DECLARE #YourTable table (CUSTOMER char(1), ACTIVITIES int, WEEKNUMBER int)
INSERT #YourTable VALUES ('A' , 4 , 1)
INSERT #YourTable VALUES ('A' , 2 , 2)
INSERT #YourTable VALUES ('A' , 0 , 3)
INSERT #YourTable VALUES ('A' , 0 , 4)
INSERT #YourTable VALUES ('A' , 1 , 5)
INSERT #YourTable VALUES ('B' , 5 , 3)
INSERT #YourTable VALUES ('C' , 2 , 4)
DECLARE #StartNumber int
,#EndNumber int
SELECT #StartNumber=1
,#EndNumber=5
;WITH AllNumbers AS
(
SELECT #StartNumber AS Number
UNION ALL
SELECT Number+1
FROM AllNumbers
WHERE Number<#EndNumber
)
, AllCustomers AS
(
SELECT DISTINCT CUSTOMER FROM #YourTable
)
SELECT
n.Number AS WEEKNUMBER, c.CUSTOMER, CASE WHEN y.Customer IS NULL THEN 0 ELSE y.ACTIVITIES END AS ACTIVITIES
FROM AllNumbers n
CROSS JOIN AllCustomers c
LEFT OUTER JOIN #YourTable y ON n.Number=y.WEEKNUMBER AND c.CUSTOMER=y.CUSTOMER
--OPTION (MAXRECURSION 500)
OUTPUT:
WEEKNUMBER CUSTOMER ACTIVITIES
----------- -------- -----------
1 A 4
1 B 0
1 C 0
2 A 2
2 B 0
2 C 0
3 A 0
3 B 5
3 C 0
4 A 0
4 B 0
4 C 2
5 A 1
5 B 0
5 C 0
(15 row(s) affected)
I use a CTE to build a Numbers table, but you could build a permanent one look at this question: What is the best way to create and populate a numbers table?. You could Write the Query without a CTE (same results as above):
SELECT
n.Number AS WEEKNUMBER, c.CUSTOMER, CASE WHEN y.Customer IS NULL THEN 0 ELSE y.ACTIVITIES END AS ACTIVITIES
FROM Numbers n
CROSS JOIN (SELECT DISTINCT
CUSTOMER
FROM #YourTable
) c
LEFT OUTER JOIN #YourTable y ON n.Number=y.WEEKNUMBER AND c.CUSTOMER=y.CUSTOMER
WHERE n.Number>=1 AND n.Number<=5
ORDER BY n.Number,c.CUSTOMER
Keep a table of time periods separately, and then outer left join the activities to it.
Like:
select *
from ReportingPeriod as p
left join Activities as a on a.ReportingPeriodId = p.ReportingPeriodId;