I have a table named "ROSTER" and in this table I have 22 columns.
I want to query and compare any 2 rows of that particular table with the purpose to check if each column's values of that 2 rows are exactly the same. ID column always has different values in each row so I will not include ID column for the comparing. I will just use it to refer to what rows will be used for the comparison.
If all column values are the same: Either just display nothing (I prefer this one) or just return the 2 rows as it is.
If there are some column values not the same: Either display those column names only or display both the column name and its value (I prefer this one).
Example:
ROSTER Table:
ID
NAME
TIME
1
N1
0900
2
N1
0801
Output:
ID
TIME
1
0900
2
0801
OR
Display "TIME"
Note: Actually I'm okay with whatever result or way of output as long as I can know in any way that the 2 rows are not the same.
What are the possible ways to do this in SQL Server?
I am using Microsoft SQL Server Management Studio 18, Microsoft SQL Server 2019-15.0.2080.9
Please try the following solution based on the ideas of John Cappelletti. All credit goes to him.
SQL
-- DDL and sample data population, start
DECLARE #roster TABLE (ID INT PRIMARY KEY, NAME VARCHAR(10), TIME CHAR(4));
INSERT INTO #roster (ID, NAME, TIME) VALUES
(1,'N1','0900'),
(2,'N1','0801')
-- DDL and sample data population, end
DECLARE #source INT = 1
, #target INT = 2;
SELECT id AS source_id, #target AS target_id
,[key] AS [column]
,source_Value = MAX( CASE WHEN Src=1 THEN Value END)
,target_Value = MAX( CASE WHEN Src=2 THEN Value END)
FROM (
SELECT Src=1
,id
,B.*
FROM #roster AS A
CROSS APPLY ( SELECT [Key]
,Value
FROM OpenJson( (SELECT A.* For JSON Path,Without_Array_Wrapper,INCLUDE_NULL_VALUES))
) AS B
WHERE id=#source
UNION ALL
SELECT Src=2
,id = #source
,B.*
FROM #roster AS A
CROSS APPLY ( SELECT [Key]
,Value
FROM OpenJson( (SELECT A.* For JSON Path,Without_Array_Wrapper,INCLUDE_NULL_VALUES))
) AS B
WHERE id=#target
) AS A
GROUP BY id, [key]
HAVING MAX(CASE WHEN Src=1 THEN Value END)
<> MAX(CASE WHEN Src=2 THEN Value END)
AND [key] <> 'ID' -- exclude this PK column
ORDER BY id, [key];
Output
+-----------+-----------+--------+--------------+--------------+
| source_id | target_id | column | source_Value | target_Value |
+-----------+-----------+--------+--------------+--------------+
| 1 | 2 | TIME | 0900 | 0801 |
+-----------+-----------+--------+--------------+--------------+
A general approach here might be to just aggregate over the entire table and report the state of the counts:
SELECT
CASE WHEN COUNT(DISTINCT ID) = COUNT(*) THEN 'Yes' ELSE 'No' END AS [ID same],
CASE WHEN COUNT(DISTINCT NAME) = COUNT(*) THEN 'Yes' ELSE 'No' END AS [NAME same],
CASE WHEN COUNT(DISTINCT TIME) = COUNT(*) THEN 'Yes' ELSE 'No' END AS [TIME same]
FROM yourTable;
I have a table 'Tasks' with the following structure
[TaskId],[CompanyId], [Year], [Month], [Value]
220,1,2018,1,50553.32
220,2,2018,2,222038.12
and another table where users have permissions to particular companies in table named 'UsersCopmpanies'
[UserId], [CompanyId]
1,1
and the thing is task no. 220 was moved between companies. In January task belonged to copmanyId=1 and than in February this task belonged to copmanyId = 2.
According to the table 'UsersCopmpanies' user does not have permision to compnayid = 2.
What I need to do is to get both rows from table 'Tasks' expect field Value, because user does not have persmission.
Expected result should be:
[TaskId], [CompanyId], [Year], [Month],[Value]
220,1,2018,1,50553.32
220,2,2018,2,(NULL or somenthing else for.example string 'lack of permission')
You can use a left join:
select t.TaskId, t.CompanyId, t.Year, t.Month,
(case when uc.CompanyId is not null then Value end) as Value
from tasks t left join
UsersCompanies uc
on uc.CompanyId = t.CompanyId and uc.UserId = 1;
I think this query using LEFT JOIN can be work at you expected :
CREATE TABLE #MyTasks
(TaskId int,
CompanyId int,
YearCol varchar(50),
MonthCol varchar(50),
SomeValue varchar(50)
);
GO
INSERT INTO #MyTasks
SELECT 220,1,2018,1,50553.32
UNION
SELECT 220,2,2018,2,222038.12
CREATE TABLE #MyUsersCopmpanies
(UserId int PRIMARY KEY,
CompanyId varchar(50)
);
GO
INSERT INTO #MyUsersCopmpanies
SELECT 1,1
DECLARE #MyUserParam INT = 1;
SELECT #MyTasks.TaskId, #MyTasks.CompanyId, #MyTasks.YearCol, #MyTasks.MonthCol,
CASE WHEN #MyUsersCopmpanies.UserId IS NOT NULL THEN #MyTasks.SomeValue ELSE 'lack of permission' END AS 'ValueTaskByPermissions'
FROM #MyTasks
LEFT JOIN #MyUsersCopmpanies ON #MyUsersCopmpanies.CompanyId = #MyTasks.CompanyId AND #MyUsersCopmpanies.UserId = #MyUserParam;
DROP TABLE #MyTasks
DROP TABLE #MyUsersCopmpanies
RESULT :
TaskId CompanyId YearCol MonthCol ValueTaskByPermissions
220 1 2018 1 50553.32
220 2 2018 2 lack of permission
Some code :
SELECT t.taskid,t.companyid,t.year,t.month,
(CASE WHEN u.companyid IS NOT NULL THEN t.value ELSE "lack of permission" end) AS ValueData
FROM `x_task` t LEFT JOIN x_userscopmpanies u ON u.companyid = t.companyid
Need to return a temp table in SQL joining another temp table using DISTINCT and ORDER BY clause.
I have a declared a table which returns a few things.
Declare #GrpItems TABLE (ID INT,
Name NVARCHAR(32),
Date DATETIME,
City NVARCHAR(32),
CityCode NVARCHAR(8),
CurrencySort NVARCHAR(16)
)
INSERT INTO #GrpItems
SELECT
ID, Name, Date ,
CityCodeorCaption --this can be two type based on User input CityCode or CityCaption
FROM
RepeatItemTable
Now I have a different table where I want to insert and the procedure returns that table as the final result.
DECLARE #CurrencyTable TABLE (RowNumber INT Identity (1,1),
FK_Currency INT,
Value INT,
CityCode NVARCHAR(16),
CityCaption NVARCHAR(16)
)
INSERT INTO #Currency
SELECT DISTINCT
gb.FK_Currency, cv.Value,
c.CityCode, c.CityCaption
FROM
Balance b
JOIN
Currency c ON c.PK_Currency = b.FK_Currency
JOIN
#GrpItems gi ON c.FK_Grpitem = gi.PK_Grpitem
ORDER BY
gi.CityCodeorName
I know somewhere I need group by but I am not sure or a select clause in where filter
I think
ORDER BY
gi.CityCodeOrNAME
WHEN 'City' THEN City
ELSE CityCode ASC
END
Which does not seem to work? I need the Distinct because it might break some other logic.
Select * from #CurrencyTable
You can always use group by instead of select distinct. That will solve your problem:
SELECT gb.FK_Currency, cv.Value, c.CityCode, c.CityCaption
FROM Balance b JOIN
Currency c
ON c.PK_Currency = b.FK_Currency JOIN
#GrpItems gi
ON c.FK_Grpitem = gi.PK_Grpitem
GROUP BY gb.FK_Currency, cv.Value, c.CityCode, c.CityCaption
ORDER BY MAX(gi.CityCodeorName) ;
Note the use of the aggregation function in the ORDER BY.
ORDER BY CASE WHEN CityCodeOrNAME = 'City'
THEN City
ELSE CityCode
END
In case you need differnt orders you can also separate them
ORDER BY CASE WHEN CityCodeOrNAME = 'City' THEN City END DESC,
CASE WHEN CityCodeOrNAME <> 'City' THEN CityCode END ASC
For a given "CustomerId" I need to get 4 related values from a column ("CompanySales") in another table.
I have joined the two tables and, with the query below, manage to get 2 "CompanySales" values from the column in the other table.
How do I do this do get 4 values (I need CompanySales for "WeekNumber" = 1,2,3 and 4)
This is the SQL query I have to secure "CompanySales" for "Weeknumber" = 1 and 2:
Declare #TempTable1 table
(
CustomerID INT,
CustomerName Varchar (50),
CompanySales DEC (8,2),
WeekNumber INT
)
INSERT INTO #TempTable1 ("CustomerID","CustomerName", "WeekNumber")
SELECT Customer.CustomerID, Customer.CustomerName, Company.WeekNumber, company.Sales
FROM Customer INNER JOIN
Company ON Customer.CustomerID = Company.CustomerID;
With tblDifference as
(
Select Row_Number() OVER (Order by WeekNumber) as RowNumber,CustomerID,CustomerName, companysales, WeekNumber from #TempTable1
)
Select Top (50) cur.CustomerID, Cur.CustomerName, Cur.WeekNumber as CurrentWeek, Prv.WeekNumber as PreviousWeek, Cur.CompanySales as CurrentSales, Prv.CompanySales as PreviousSales, CAST(((Cur.CompanySales-Prv.CompanySales)/Prv.CompanySales)*100 As Decimal(8,2)) as PercentChange from
tblDifference Cur Left Outer Join tblDifference Prv
On Cur.CustomerID=Prv.CustomerID
Where cur.WeekNumber = 1 AND prv.WeekNumber = 2
Order BY PercentChange ASC
How about adding between there cur.WeekNumber Between 1 and 4?
I'm getting the wrong result from my report. Maybe i'm missing something simple.
The report is an inline table-valued-function that should count goods movement in our shop and how often these spareparts are claimed(replaced in a repair).
The problem: different spareparts in the shop-table(lets call it SP) can be linked to the same sparepart in the "repair-table"(TSP). I need the goods movement of every sparepart in SP and the claim-count of every distinct sparepart in TSP.
This is a very simplified excerpt of the relevant part:
create table #tsp(id int, name varchar(20),claimed int);
create table #sp(id int, name varchar(20),fiTsp int,ordered int);
insert into #tsp values(1,'1235-6044',300);
insert into #tsp values(2,'1234-5678',400);
insert into #sp values(1,'1235-6044',1,30);
insert into #sp values(2,'1235-6044',1,40);
insert into #sp values(3,'1235-6044',1,50);
insert into #sp values(4,'1234-5678',2,60);
WITH cte AS(
select tsp.id As TspID,tsp.name as TspName,tsp.claimed As Claimed
,sp.id As SpID,sp.name As SpName,sp.ordered As Ordered
from #sp sp inner join #tsp tsp
on sp.fiTsp=tsp.id
)
SELECT TspName, SUM(Claimed) As Claimed, Sum(Ordered) As Ordered
FROM cte
Group By TspName
drop table #tsp;
drop table #sp;
Result:
TspName Claimed Ordered
1234-5678 400 60
1235-6044 900 120
The Ordered-count is correct but the Claimed-count should be 300 instead of 900 for TspName='1235-6044'.
I need to group by Tsp.ID for the claim-count and group by Sp.ID for the order-count. But how in one query?
Edit: Actually the TVF looks like(note that getOrdered and getClaimed are SVFs and that i'm grouping in the outer select on TSP's Category):
CREATE FUNCTION [Gambio].[rptReusedStatistics](
#fromDate datetime
,#toDate datetime
,#fromInvoiceDate datetime
,#toInvoiceDate datetime
,#idClaimStatus varchar(50)
,#idSparePartCategories varchar(1000)
,#idSpareParts varchar(1000)
)
RETURNS TABLE AS
RETURN(
WITH ExclusionCat AS(
SELECT idSparePartCategory AS ID From tabSparePartCategory
WHERE idSparePartCategory IN(- 3, - 1, 6, 172,168)
), Report AS(
SELECT Cat.SparePartCategoryName AS Category
,TSP.SparePartDescription AS Part
,TSP.SparePartName AS PartNumber
,SP.Inventory
,Gambio.getGoodsIn(SP.idSparePart,#FromDate,#ToDate) GoodsIn
,Gambio.getOrdered(SP.idSparePart,#FromDate,#ToDate) Ordered
--,CASE WHEN TSP.idSparePart IS NULL THEN 0 ELSE
-- Gambio.getClaimed(TSP.idSparePart,#FromInvoiceDate,#ToInvoiceDate,#idClaimStatus,NULL)END AS Claimed
,CASE WHEN TSP.idSparePart IS NULL THEN 0 ELSE
Gambio.getClaimed(TSP.idSparePart,#FromInvoiceDate,#ToInvoiceDate,#idClaimStatus,1)END AS ClaimedReused
,CASE WHEN TSP.idSparePart IS NULL THEN 0 ELSE
Gambio.getCostSaving(TSP.idSparePart,#FromInvoiceDate,#ToInvoiceDate,#idClaimStatus)END AS Costsaving
FROM Gambio.SparePart AS SP
INNER JOIN tabSparePart AS TSP ON SP.fiTabSparePart = TSP.idSparePart
INNER JOIN tabSparePartCategory AS Cat
ON Cat.idSparePartCategory=TSP.fiSparePartCategory
WHERE Cat.idSparePartCategory NOT IN(SELECT ID FROM ExclusionCat)
AND (#idSparePartCategories IS NULL
OR TSP.fiSparePartCategory IN(
SELECT Item From dbo.Split(#idSparePartCategories,',')
)
)
AND (#idSpareParts IS NULL
OR TSP.idSparePart IN(
SELECT Item From dbo.Split(#idSpareParts,',')
)
)
)
SELECT Category
--, Part
--, PartNumber
, SUM(Inventory)As InventoryCount
, SUM(GoodsIn) As GoodsIn
, SUM(Ordered) As Ordered
--, SUM(Claimed) As Claimed
, SUM(ClaimedReused)AS ClaimedReused
, SUM(Costsaving) As Costsaving
, Count(*) AS PartCount
FROM Report
GROUP BY Category
)
Solution:
Thanks to Aliostad i've solved it by first grouping and then joining(actual TVF, reduced to a minimum):
WITH Report AS(
SELECT Cat.SparePartCategoryName AS Category
,TSP.SparePartDescription AS Part
,TSP.SparePartName AS PartNumber
,SP.Inventory
,SP.GoodsIn
,SP.Ordered
,Gambio.getClaimed(TSP.idSparePart,#FromInvoiceDate,#ToInvoiceDate,#idClaimStatus,1) AS ClaimedReused
,Gambio.getCostSaving(TSP.idSparePart,#FromInvoiceDate,#ToInvoiceDate,#idClaimStatus) AS Costsaving
FROM (
SELECT GSP.fiTabSparePart
,SUM(GSP.Inventory)AS Inventory
,SUM(Gambio.getGoodsIn(GSP.idSparePart,#FromDate,#ToDate))AS GoodsIn
,SUM(Gambio.getOrdered(GSP.idSparePart,#FromDate,#ToDate))AS Ordered
FROM Gambio.SparePart GSP
GROUP BY GSP.fiTabSparePart
)As SP
INNER JOIN tabSparePart TSP ON SP.fiTabSparePart = TSP.idSparePart
INNER JOIN tabSparePartCategory AS Cat
ON Cat.idSparePartCategory=TSP.fiSparePartCategory
)
SELECT Category
, SUM(Inventory)As InventoryCount
, SUM(GoodsIn) As GoodsIn
, SUM(Ordered) As Ordered
, SUM(ClaimedReused)AS ClaimedReused
, SUM(Costsaving) As Costsaving
, Count(*) AS PartCount
FROM Report
GROUP BY Category
You are JOINing first and then GROUPing by. You need to reverse it, GROUP BY first and then JOIN.
So here in my subquery, I group by first and then join:
select
claimed,
ordered
from
#tsp
inner JOIN
(select
fitsp,
SUM(ordered) as ordered
from
#sp
group by
fitsp) as SUMS
on
SUMS.fiTsp = id;
I think you just need to select Claimed and add it to the Group By in order to get what you are looking for.
WITH cte AS(
select tsp.id As TspID,tsp.name as TspName,tsp.claimed As Claimed
,sp.id As SpID,sp.name As SpName,sp.ordered As Ordered
from #sp sp inner join #tsp tsp
on sp.fiTsp=tsp.id )
SELECT TspName, Claimed, Sum(Ordered) As Ordered
FROM cte
Group By TspName, Claimed
Your cte is an inner join between tsp and sp, which means that the data you're querying looks like this:
SpID Ordered TspID TspName Claimed
1 30 1 1235-6044 300
2 40 1 1235-6044 300
3 50 1 1235-6044 300
4 60 2 1234-5678 400
Notice how TspID, TspName and Claimed all get repeated. Grouping by TspName means that the data gets grouped in two groups, one for 1235-6044 and one for 1234-5678. The first group has 3 rows on which to run the aggregate functions, the second group only one. That's why your sum(Claimed) will get you 300*3=900.
As Aliostad suggested, you should first group by TspID and do the sum of Ordered and then join to tsp.
No need to join, just subselect:
create table #tsp(id int, name varchar(20),claimed int);
create table #sp(id int, name varchar(20),fiTsp int,ordered int);
insert into #tsp values(1,'1235-6044',300);
insert into #tsp values(2,'1234-5678',400);
insert into #sp values(1,'1235-6044',1,30);
insert into #sp values(2,'1235-6044',1,40);
insert into #sp values(3,'1235-6044',1,50);
insert into #sp values(4,'1234-5678',2,60);
WITH cte AS(
select tsp.id As TspID,tsp.name as TspName,tsp.claimed As Claimed
,sp.id As SpID,sp.name As SpName,sp.ordered As Ordered
from #sp sp inner join #tsp tsp
on sp.fiTsp=tsp.id
)
SELECT id, name, SUM(claimed) as Claimed, (SELECT SUM(ordered) FROM #sp WHERE #sp.fiTsp = #tsp.id GROUP BY #sp.fiTsp) AS Ordered
FROM #tsp
GROUP BY id, name
drop table #tsp;
drop table #sp;
Produces:
id name Claimed Ordered
1 1235-6044 300 120
2 1234-5678 400 60
-- EDIT --
Based on the additional info, this is how I might try to split the CTE to form the data as per the example. I fully admit that Aliostad's approach may yield a cleaner query but here's an attempt (completely blind) using the subselect:
CREATE FUNCTION [Gambio].[rptReusedStatistics](
#fromDate datetime
,#toDate datetime
,#fromInvoiceDate datetime
,#toInvoiceDate datetime
,#idClaimStatus varchar(50)
,#idSparePartCategories varchar(1000)
,#idSpareParts varchar(1000)
)
RETURNS TABLE AS
RETURN(
WITH ExclusionCat AS (
SELECT idSparePartCategory AS ID From tabSparePartCategory
WHERE idSparePartCategory IN(- 3, - 1, 6, 172,168)
), ReportSP AS (
SELECT fiTabSparePart
,Inventory
,Gambio.getGoodsIn(idSparePart,#FromDate,#ToDate) GoodsIn
,Gambio.getOrdered(idSparePart,#FromDate,#ToDate) Ordered
FROM Gambio.SparePart
), ReportTSP AS (
SELECT TSP.idSparePart
,Cat.SparePartCategoryName AS Category
,TSP.SparePartDescription AS Part
,TSP.SparePartName AS PartNumber
,CASE WHEN TSP.idSparePart IS NULL THEN 0 ELSE
Gambio.getClaimed(TSP.idSparePart,#FromInvoiceDate,#ToInvoiceDate,#idClaimStatus,1)END AS ClaimedReused
,CASE WHEN TSP.idSparePart IS NULL THEN 0 ELSE
Gambio.getCostSaving(TSP.idSparePart,#FromInvoiceDate,#ToInvoiceDate,#idClaimStatus)END AS Costsaving
FROM tabSparePart AS TSP
INNER JOIN tabSparePartCategory AS Cat
ON Cat.idSparePartCategory=TSP.fiSparePartCategory
WHERE Cat.idSparePartCategory NOT IN(SELECT ID FROM ExclusionCat)
AND (#idSparePartCategories IS NULL
OR TSP.fiSparePartCategory IN(
SELECT Item From dbo.Split(#idSparePartCategories,',')
)
)
AND (#idSpareParts IS NULL
OR TSP.idSparePart IN(
SELECT Item From dbo.Split(#idSpareParts,',')
)
)
)
SELECT Category
--, Part
--, PartNumber
, (SELECT SUM(Inventory) FROM ReportSP WHERE ReportSP.fiTabSparePart = idSparePart GROUP BY fiTabSparePart) AS Inventory
, (SELECT SUM(GoodsIn) FROM ReportSP WHERE ReportSP.fiTabSparePart = idSparePart GROUP BY fiTabSparePart) AS GoodsIn
, (SELECT SUM(Ordered) FROM ReportSP WHERE ReportSP.fiTabSparePart = idSparePart GROUP BY fiTabSparePart) AS Ordered
, Claimed
, ClaimedReused
, Costsaving
, Count(*) AS PartCount
FROM ReportTSP
GROUP BY Category
)
Without a better understanding of the whole schema it's difficult to cover for all the eventualities but whether this works or not (I suspect PartCount will be 1 for all instances) hopefully it'll give you some fresh thoughts for alternate approaches.
SELECT
tsp.name
,max(tsp.claimed) as claimed
,sum(sp.ordered) as ordered
from #sp sp
inner join #tsp tsp
on sp.fiTsp=tsp.id
GROUP BY tsp.name