Update Temp Table with Group By - sql

Getting this error
Msg 157, Level 15, State 1, Line 20
An aggregate may not appear in the set list of an UPDATE statement.
My UPDATE statement:
UPDATE #Results
SET CustomerName = dbo.GetCustomerNameByCustomerId(CustomerId),
TotalIncremental = Sum(IncrementalDollarsDebitCredit),
TotalDeficiency = 0
FROM
IncrementalCreditHeader ICH
INNER JOIN
IncrementalCreditHistory IC ON IC.IncrementalCreditID = ICH.IncrementalCreditID
WHERE
IC.BillingPeriodStartDate < = '2015-07-01 00:00:00.000'
AND ICH.ARCreatedFlag = 'Y' AND ICH.ActiveFlag = 1

in general, you can use the fact that you can update common table expressions in SQL server + apply the window function, like this:
create table temp (client_id int, amount int, total_amount int)
insert into temp (client_id, amount)
select 1, 10 union all
select 1, 15 union all
select 2, 5 union all
select 2, 7 union all
select 2, 15
;with cte as (
select total_amount, sum(amount) over(partition by client_id) as new_total_amount
from temp
)
update cte set
total_amount = new_total_amount
--------------------------------
client_id amount total_amount
1 10 25
1 15 25
2 5 27
2 7 27
2 15 27
sql fiddle demo
But in your question, you have to add #Results table to your update query otherwise it's not clear for SQL Server which rows to update

Related

Select rows based on condition on group

I have a following table, with values of code can be from 1 to 10. I want to select the product only if it has value of code greater than or equals to 3 & it should not have code = 9 assigned.
ProductId Code
844558 3
844558 3.5
844558 4
296013 2
296013 3
494948 3.5
494948 4
494948 9
392991 4
392991 9.5
Result will have only Product Id 844558 & 392991.
296013 is not selected because it has code 2 assigned
494948 is not selected because it has code 9
I wrote below query to select records with code greater than or equals 3. How to exclude products with code = 9
Declare #Product Table(ProductId INT, Code DECIMAL(10,2))
INSERT INTO #Product(ProductId, Code)
Select 844558,3
UNION
Select 844558,3.5
UNION
Select 844558,4
UNION
Select 296013,2
UNION
Select 296013,3
UNION
Select 494948,3.5
UNION
Select 494948,4
UNION
Select 494948,9
UNION
Select 392991,4
UNION
Select 392991,9.5
SELECT ProductId
FROM #Product
WHERE Code <> 9
GROUP BY ProductId
HAVING MIN(Code) >= 3
Enhance your having clause:
SELECT ProductId
FROM #Product
GROUP BY ProductId
HAVING MIN(Code) >= 3 AND
SUM(CASE WHEN Code = 9 THEN 1 ELSE 0 END) = 0
Exclude the product at source and this should return the correct result set. I have done this using a where clause which selects all of the productid values where code is 9. That way the outer result set is all codes greater than 3 and the inner result set excludes anything that has a code of 9.
Declare #Product Table(ProductId INT, Code DECIMAL(10,2))
INSERT INTO #Product(ProductId, Code)
Select 844558,3
UNION
Select 844558,3.5
UNION
Select 844558,4
UNION
Select 296013,2
UNION
Select 296013,3
UNION
Select 494948,3.5
UNION
Select 494948,4
UNION
Select 494948,9
UNION
Select 392991,4
UNION
Select 392991,9.5
SELECT ProductId
FROM #Product
WHERE ProductID not in (select ProductID from #product where Code=9)
GROUP BY ProductId
HAVING MIN(Code) >= 3;

SQL Server loop through a table for every 5 rows

I need to write a stored procedure or table function to return a new data table as a new data source.
I wish to loop through the original table for every 5 rows base on the invoice ID column (it's possible not start from 1), the first 5 rows add to the left of the new table and the second 5 rows add to the right of the new table, the third 5 rows to the left and so on.
For example, Here is the original table:
Here is the expect table:
Thanks in advance!
declare #rowCount int = 5;
with cte as (
select *,( (IN_InvoiceID-1) / #rowCount ) % 2 group1
,( (IN_InvoiceID-1) / #rowCount ) group2
,IN_InvoiceID % #rowCount group3
from T
)
select * from cte
select T1.INID,T1.IN_InvoiceID,T1.IN_InvoiceAmount,T2.INID,T2.IN_InvoiceID,T2.IN_InvoiceAmount
from CTE T1
left join CTE T2 on T2.group1 = 1 and T1.group2 = T2.group2-1 and T1.group3 = T2.group3
where T1.group1 = 0
Test DDL
CREATE TABLE T
([INID] varchar(38), [IN_InvoiceID] int, [IN_InvoiceAmount] int)
;
INSERT INTO T
([INID], [IN_InvoiceID], [IN_InvoiceAmount])
VALUES
('DB3E17E6-35C5-41:121-93B1-F809BF6B2972', 1, 2999),
('3212F048-8213-4FCC-AB64-121485B77D4E43', 2, 3737),
('E3526373-A204-40F5-801C-7F8302A4E5E2', 3, 3175),
('76CC9C19-BF79-4E8A-8034-A33805AD3390', 4, 391),
('EC7A2FBC-B62D-4865-88DE-A8097975F125', 5, 1206),
('52AD3046-21331-4F0A-BD1D-67F232C54244', 6, 402),
('CA48F132-A9F5-4516-9E58-CDEE6644AAD1', 7, 1996),
('02E10C31-CAB2-4220-B66A-CEE5E67A9378', 8, 3906),
('98F1EEFF-B07A-4B65-87F4-E165264284DD', 9, 2575),
('91EBDD8B-B73C-470C-8900-DD66078483DB', 10, 2965),
('6E2490E5-C4DE-4833-877F-1590F7BDC1B8', 11, 1603),
('00985921-AC3C-4E3E-BAE1-7F58302F831A', 12, 1302)
;
Result:
Could you please check article Display Data in Multiple Columns using SQL showing with example case how a database developer can show the list of data rows in a columnar mode using Row_Number() function and mode arithmetic expression
You need to add additional columns from the same row that is different in the sample
Seems as if you want to split the table into 2 tables with alternating 5 rows. An easy way to do this would be:
Take data into a temp table having an extra column (lets say
grouping_id)
Update the grouping id so that each 5 rows have the same id. You can
use in_invoiceId % 5 (the nod function). After this step the first 5
rows will have grouping_id 0, next 5 will have 1, next will have 2
(assuming your invoice id is incremented +1 for all rows).
You can just do a normal select with where clause for odd and even grouping_id
Ideally, you can manage with the 2 tables Master and detail table.
But due to my curiosity, I am able to solve and give the answer as
Declare #table table(id int identity, invoice_id int)
; WITH Numbers AS
(
SELECT n = 1
UNION ALL
SELECT n + 1
FROM Numbers
WHERE n+1 <= 50
)
insert into #table SELECT n
FROM Numbers
Select (a.id )%5 ,* from #table a join #table b on a.id+5 = b.id and a.id != b.id
;WITH Numbers AS
(
SELECT n = 1, o = 5
UNION ALL
SELECT n + 10, o = o+10
FROM Numbers
WHERE n+1 <= 50
)
select a.id ParentId,a.invoice_id ParentInvoiceId, --b.n, b.o,
c.invoice_id childInvoiceID from #table a
join Numbers b on a.id between b.n and b.o
left join #table c on a.id + 5 = c.id
Here is my solution
First i create grps based on whether the in_invoiceid is divisible by 5 or not.(Ignore the remainders)
After that i create a category to indicate between alternative groups(ie by checking if the remainder is 0 or otherise)
Then its a matter of dense_ranking the records on the basis of the category field ordered by in_invoiceid
Lastly a join with category=1 rows with same dense_rank as those records in category=0
create table Invoicetable(IN_ID varchar(100), IN_InvoiceID int)
INSERT INTO Invoicetable (IN_ID, IN_InvoiceID)
VALUES
('2345-BCDE-6645-1DDF', 1),
('2345-BCDE-6645-3DDF', 2),
('2345-BCDE-6645-4DDF', 3),
('2345-BCDE-6645-5DDF', 4),
('2345-BCDE-6645-6DDF', 5),
('2345-BCDE-6645-7DDF', 6),
('2345-BCDE-6645-aDDF', 7),
('2345-BCDE-6645-sDDF', 8),
('2345-BCDE-6645-dDDF', 9),
('2345-BCDE-6645-dDDF', 10),
('2345-BCDE-6645-dDDF', 11),
('2345-BCDE-6645-dDDF', 12);
with data
as (
select *
,(in_invoiceid-1)/5 as grp
,case when ((in_invoiceid-1)/5)%2=0 then '1' else '0' end as category
,dense_rank() over(partition by case when ((in_invoiceid-1)/5)%2=0 then '1' else '0' end
order by in_invoiceid) as rnk
from invoicetable a
)
select *
from data a
left join data b
on a.rnk=b.rnk
and b.category=0
where a.category=1
Here is db fiddle link.
https://dbfiddle.uk/?rdbms=sqlserver_2017&fiddle=287f101737c580ca271940764b2536ae
You may try with the following approach. Dividing the table is done with (((ROW_NUMBER() OVER (ORDER BY IN_InvoiceID) - 1) / 5) % 2 = 0) which groups records in left and right groups.
CREATE TABLE #InvoiceTable(
IN_ID varchar(24),
IN_InvoiceID int
)
INSERT INTO #InvoiceTable (IN_ID, IN_InvoiceID)
VALUES
('2345-BCDE-6645-1DDF', 1),
('2345-BCDE-6645-3DDF', 2),
('2345-BCDE-6645-4DDF', 3),
('2345-BCDE-6645-5DDF', 4),
('2345-BCDE-6645-6DDF', 5),
('2345-BCDE-6645-7DDF', 6),
('2345-BCDE-6645-aDDF', 7),
('2345-BCDE-6645-sDDF', 8),
('2345-BCDE-6645-dDDF', 9),
('2345-BCDE-6645-dDDF', 10),
('2345-BCDE-6645-dDDF', 11),
('2345-BCDE-6645-dDDF', 12);
WITH cte AS (
SELECT
IN_ID,
IN_InvoiceID,
CASE
WHEN (((ROW_NUMBER() OVER (ORDER BY IN_InvoiceID) - 1) / 5) % 2 = 0) THEN 'L'
ELSE 'R'
END AS IN_Position
FROM #InvoiceTable
),
cteL AS (
SELECT IN_ID, IN_InvoiceID, ROW_NUMBER() OVER (ORDER BY IN_InvoiceID) AS IN_RowNumber
FROM cte
WHERE IN_Position = 'L'
),
cteR AS (
SELECT IN_ID, IN_InvoiceID, ROW_NUMBER() OVER (ORDER BY IN_InvoiceID) AS IN_RowNumber
FROM cte
WHERE IN_Position = 'R'
)
SELECT cteL.IN_ID, cteL.IN_InvoiceID, cteR.IN_ID, cteR.IN_InvoiceID
FROM cteL
LEFT JOIN cteR ON (cteL.IN_RowNumber = cteR.IN_RowNumber)
Output:
IN_ID IN_InvoiceID IN_ID IN_InvoiceID
2345-BCDE-6645-1DDF 1 2345-BCDE-6645-7DDF 6
2345-BCDE-6645-3DDF 2 2345-BCDE-6645-aDDF 7
2345-BCDE-6645-4DDF 3 2345-BCDE-6645-sDDF 8
2345-BCDE-6645-5DDF 4 2345-BCDE-6645-dDDF 9
2345-BCDE-6645-6DDF 5 2345-BCDE-6645-dDDF 10
2345-BCDE-6645-dDDF 11 NULL NULL
2345-BCDE-6645-dDDF 12 NULL NULL

Finding row of "duplicate" data with greatest value

I have a table setup as follows:
Key || Code || Date
5 2 2018
5 1 2017
8 1 2018
8 2 2017
I need to retrieve only the key and code where:
Code=2 AND Date > the other record's date
So based on this data above, I need to retrieve:
Key 5 with code=2
Key 8 does not meet the criteria since code 2's date is lower than code 1's date
I tried joining the table on itself but this returned incorrect data
Select key,code
from data d1
Join data d2 on d1.key = d2.key
Where d1.code = 2 and d1.date > d2.date
This method returned data with incorrect values and wrong data.
Perhaps you want this:
select d.*
from data d
where d.code = 2 and
d.date > (select d2.date
from data d2
where d2.key = d.key and d2.code = 1
);
If you just want the key, I would go for aggregation:
select d.key
from data d
group by d.key
having max(case when d2.code = 2 then date end) > max(case when d2.code <> 2 then date end);
use row_number, u can select rows with dates in ascending order. This is based on your sample data, selecting 2 rows
DECLARE #table TABLE ([key] INT, code INT, DATE INT)
INSERT #table
SELECT 5, 2, 2018
UNION ALL
SELECT 5, 2, 2018
UNION ALL
SELECT 8, 1, 2018
UNION ALL
SELECT 8, 2, 2017
SELECT [key], code, DATE
FROM (
SELECT [key], code, DATE, ROW_NUMBER() OVER (
PARTITION BY [key], code ORDER BY DATE
) rn
FROM #table
) x
WHERE rn = 2

SQL Server 2008 -Missing number in sequence

I saw related questions but I really don't understand how to do this.
I have a table name "tbl_image"
id keys image_count
1 0001 1
2 0001 3
3 0001 5
4 0003 6
5 0003 9
I want my output to look like this
If I select where the keys = '0001'
output
2
4
And when I select where the keys = '0003'
output
7
8
Thanks in advance.
One method is to use recursive cte
;with cte as
(
select id, image_count,min(image_count) over (partition by Keys) cm, keys from table
union all
select id, image_count, cm+1, keys from cte c
where c.image_count > c.cm
)
select distinct c.cm as Missing from cte c
left join table t on t.keys = c.keys and t.image_count = c.cm
where c.keys = '0003' and t.image_count is null
Result :
Missing
7
8
Use recursive query
with result as
(
select min(image_count) + 1 output,
(select max(image_count) - 1 from tbl_image where keys = '0003') max_output
from tbl_image
where keys = '0003'
union all
select output + 1, max_output
from result
where output < max_output
)
select output
from result
where not exists (select 1 from tbl_image where image_count = output)
dbfiddle demo
Try this:
DECLARE #tbl_image TABLE(ID int, Keys VARCHAR(10),Image_Count INT)
INSERT INTO #tbl_image VALUES (1,'0001',1)
INSERT INTO #tbl_image VALUES (2,'0001',3)
INSERT INTO #tbl_image VALUES (3,'0001',5)
INSERT INTO #tbl_image VALUES (4,'0003',6)
INSERT INTO #tbl_image VALUES (5,'0003',9)
SELECT DISTINCT n = number
FROM Master.dbo.[spt_values]
WHERE number BETWEEN (SELECT MIN(Image_Count) FROM #tbl_image WHERE Keys='0001')
AND (SELECT MAX(Image_Count) FROM #tbl_image WHERE Keys='0001')
AND number NOT IN(SELECT Image_Count FROM #tbl_image WHERE Keys='0001')
OutPut:
2
4

SQL Running Subtraction

I have a result set as below:
Item ExpectedQty ReceivedQty Short
Item01 30 45 5
Item01 20 45 5
Item02 40 38 2
item03 50 90 10
item03 30 90 10
item03 20 90 10
query is:
select a.Item, a.ExpectedQty,b.ReceivedQty, b.Short
from a join b on a.Item = b.Item
I need to get result as in second chart. Basically I have a total of received quantity in each line and I need to show received quantity against Expected Quantity, if there is any shortage I need to show in last line.
Expected:
Item ExpectedQty ReceivedQty Short
item01 30 30 0
item01 20 15 5
item02 40 38 2
item03 50 50 0
item03 30 30 0
item03 20 10 10
Thanks in advance.
Edited,
Vession 02 ;
-- Just a brief of business scenario is table has been created for a good receipt.
-- So here we have good expected line with PurchaseOrder(PO) in first few line.
-- And then we receive each expected line physically and that time these
-- quantity may be different
-- due to business case like quantity may damage and short quantity like that.
-- So we maintain a status for that eg: OK, Damage, also we have to calculate
-- short quantity
-- based on total of expected quantity of each item and total of received line.
if object_id('DEV..Temp','U') is not null
drop table Temp
CREATE TABLE Temp
(
ID INT IDENTITY(1,1) PRIMARY KEY CLUSTERED,
Item VARCHAR(32),
PO VARCHAR(32) NULL,
ExpectedQty INT NULL,
ReceivedQty INT NULL,
[STATUS] VARCHAR(32) NULL,
BoxName VARCHAR(32) NULL
)
-- Please see first few line with PO data will be the expected lines,
-- and then rest line will be received line
INSERT INTO TEMP (Item,PO,ExpectedQty,ReceivedQty,[STATUS],BoxName)
SELECT 'ITEM01','PO-01','30',NULL,NULL,NULL UNION ALL
SELECT 'ITEM01','PO-02','20',NULL,NULL,NULL UNION ALL
SELECT 'ITEM02','PO-01','40',NULL,NULL,NULL UNION ALL
SELECT 'ITEM03','PO-01','50',NULL,NULL,NULL UNION ALL
SELECT 'ITEM03','PO-02','30',NULL,NULL,NULL UNION ALL
SELECT 'ITEM03','PO-03','20',NULL,NULL,NULL UNION ALL
SELECT 'ITEM04','PO-01','30',NULL,NULL,NULL UNION ALL
SELECT 'ITEM01',NULL,NULL,'20','OK','box01' UNION ALL
SELECT 'ITEM01',NULL,NULL,'25','OK','box02' UNION ALL
SELECT 'ITEM01',NULL,NULL,'5','DAMAGE','box03' UNION ALL
SELECT 'ITEM02',NULL,NULL,'38','OK','box04' UNION ALL
SELECT 'ITEM02',NULL,NULL,'2','DAMAGE','box05' UNION ALL
SELECT 'ITEM03',NULL,NULL,'30','OK','box06' UNION ALL
SELECT 'ITEM03',NULL,NULL,'30','OK','box07' UNION ALL
SELECT 'ITEM03',NULL,NULL,'30','OK','box08' UNION ALL
SELECT 'ITEM03',NULL,NULL,'10','DAMAGE','box09' UNION ALL
SELECT 'ITEM04',NULL,NULL,'25','OK','box10'
-- Below Table is my expected result based on above data.
-- I need to show those data following way.
-- So I appreciate if you can give me an appropriate query for it.
-- Note: first row is blank and it is actually my table header. :)
SELECT ''as'ITEM', ''as'PO#', ''as'ExpectedQty',''as'ReceivedQty',
''as'DamageQty' ,''as'ShortQty' UNION ALL
SELECT 'ITEM01','PO-01','30','30','0' ,'0' UNION ALL
SELECT 'ITEM01','PO-02','20','15','5' ,'0' UNION ALL
SELECT 'ITEM02','PO-01','40','38','2' ,'0' UNION ALL
SELECT 'ITEM03','PO-01','50','50','0' ,'0' UNION ALL
SELECT 'ITEM03','PO-02','30','30','0' ,'0' UNION ALL
SELECT 'ITEM03','PO-03','20','10','10','0' UNION ALL
SELECT 'ITEM04','PO-01','30','25','0' ,'5'
One part of the problem is to get the running totals of expected item qunatities. For that you'd need a way to distinguish rows with same items from each other and a rule for the order of discharging same item quantities.
For the purpose of my attempt at solving your problem I'm going to assume there's a timestamp column whose values provide the order of discharge and are unique within same item groups.
Here's the sample data definition I was testing my solution on:
CREATE TABLE TableA (Item varchar(50), ExpectedQty int, Timestamp int);
INSERT INTO TableA
SELECT 'Item01', 30, 1 UNION ALL
SELECT 'Item01', 20, 2 UNION ALL
SELECT 'Item02', 40, 1 UNION ALL
SELECT 'item03', 50, 1 UNION ALL
SELECT 'item03', 30, 2 UNION ALL
SELECT 'item03', 20, 3;
CREATE TABLE TableB (Item varchar(50), ReceivedQty int);
INSERT INTO TableB
SELECT 'Item01', 45 UNION ALL
SELECT 'Item02', 38 UNION ALL
SELECT 'item03', 90;
And here's my solution:
SELECT
Item,
ExpectedQty,
ReceivedQty = CASE
WHEN RemainderQty >= 0 THEN ExpectedQty
WHEN RemainderQty < -ExpectedQty THEN 0
ELSE RemainderQty + ExpectedQty
END,
Short = CASE
WHEN RemainderQty >= 0 THEN 0
WHEN RemainderQty < -ExpectedQty THEN ExpectedQty
ELSE ABS(RemainderQty)
END
FROM (
SELECT
a.Item,
a.ExpectedQty,
RemainderQty = b.ReceivedQty - a.RunningTotalQty
FROM (
SELECT
a.Item,
a.Timestamp,
a.ExpectedQty,
RunningTotalQty = SUM(a2.ExpectedQty)
FROM TableA a
INNER JOIN TableA a AS a2 ON a.Item = a2.Item AND a.Timestamp >= a2.Timestamp
GROUP BY
a.Item,
a.Timestamp,
a.ExpectedQty
) a
INNER JOIN TableB b ON a.Item = b.Item
) s
select a.Item, a.ExpectedQty,b.ReceivedQty, (a.ExpectedQty - b.ReceivedQty) as 'Short' from a join b on a.Item = b.Item
SELECT a.ExpectedQty,
b.ReceivedQty,
CASE WHEN b.ReceivedQty < a.ExpectedQty
THEN b.ReceivedQty - a.ExpectedQty
ELSE 0
END Short
FROM dbo.a a
INNER JOIN dbo.b b
ON a.ItemId = b.ItemId