Related
I have 2 tables (Dim & User). In Dim table, there is the EmpId column which has incremental values (1,2,..) but is not an identity column and the User table is in join with Dim table based on SalesKey.
There are 3 rows that are missing in Dim which exists in the User table. I want to insert the missing rows in Dim table, but the catch is while inserting the EmpId column needs to get incremental values for new rows.
So far queries I tried is as below, which gives me results in split, but I am not able to merge results in a single query, maybe nested subquery will help but not sure how?
Create table DimEmp
(
EmpId bigint not null,
SalesKey varchar(10),
EmpName varchar(100)
CONSTRAINT PK_DimEmp_EmpId PRIMARY KEY (EmpId)
)
GO
INSERT INTO DimEmp (EmpId,SalesKey,EmpName)
VALUES (1,'001A','John'), (2,'002B','Stephen')
GO
Create table [User]
(
UserId varchar(10),
EmpName varchar(100)
CONSTRAINT PK_User_UserId PRIMARY KEY (UserId)
)
GO
INSERT INTO [User] (UserId,EmpName)
VALUES ('001A','John'), ('002B','Stephen'),
('003C','Bruce'), ('004D','Clark'),('005E','Mitchel')
GO
SELECT u.UserId,u.EmpName
FROM [User] u
LEFT JOIN DimEmp d
ON d.SalesKey=u.UserId
WHERE d.SalesKey IS NULL -- prints missing 3 records of Dim
GO
SELECT 1 + EmpId + 1 AS NewincrEmpId,
( SELECT MAX(EmpId) FROM DimEmp
) AS MaxEmpid
FROM DimEmp -- inner query gives max empid and outer query increments value for each row
GO
Expected Output in Dim table after inserting 3 new records using INSERT INTO SELECT (subquery) statement
You will need to wrap the whole thing into a transaction.
Grab the max(EmpId) using serializable table lock, to make sure no other process adds/modifies EmpId
use row_number to get the new unique ids
Query:
begin tran
declare #maxid bigint
set #maxid =
(
select max(EmpId) from DimEmp with(serializable)
)
insert into DimEmp
(
EmpId,
SalesKey,
EmpName
)
select
isnull(#maxid, 0) +
row_number() over (order by u.UserId),
u.UserId,
u.EmpName
from
[User] as u
left join
DimEmp as d on
d.SalesKey = u.UserId
where
d.SalesKey is null
commit tran
Sounds like you got a serious design issue there.
For a quick fix you can use row_number() and add it to the maximum ID.
INSERT INTO [dimemp]
([empid],
[saleskey],
[empname])
SELECT (SELECT coalesce(max(de1.[empid]), 0)
FROM [dimemp] de1) + row_number() OVER (ORDER BY u1.[userid]),
u1.[userid],
u1.[empname]
FROM [user] u1
WHERE NOT EXISTS (SELECT *
FROM [dimemp] de2
WHERE de2.[saleskey] = u1.[userid]);
db<>fiddle
TRY: This is also better way of using OUTER APPLY to get max EmpId and ROW_NUMBER to get the desired output as below
SELECT ISNULL(tt.NewincrEmpId, 0)+ROW_NUMBER() OVER(ORDER BY u.UserId ASC) AS NewincrEmpId,
u.UserId,
u.EmpName
FROM User u
LEFT JOIN DimEmp d ON d.SalesKey=u.UserId
OUTER APPLY(SELECT MAX(de.EmpId) AS NewincrEmpId
FROM DimEmp de) tt
OUTPUT:
NewincrEmpId UserId EmpName
3 003C Bruce
4 004D Clark
5 005E Mitchel
WHERE d.SalesKey IS NULL
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
So lets say I have a Table "Stuff".
It has 3 columns.
So Job Code is supposed to be the same for both manager and the employee under that manager(like it is where jobcode= 000 ). That is the normal scenario.
However in some cases, The Manager will have "ABC" as jobcode.
In those cases, I need to replace "ABC" with the jobcode value of the most recent employee under that manager.
For example, for Manager A1, I need to replace his jobcode of ABC with 234,considering B1 is the most recent employee under him.
For manager A, his jobcode of ABC will be replaced with 121 since B is the only employee under him.
I wrote this query but it doesn't seem to work.
Update X
Set X.JobCode=Y.JobCode
FROM STUFF X
INNER JOIN STUFF Y
ON X.MGRCODE=Y.MGRCODE
AND X.JOBCODE = 'ABC"
AND Y.JOBCODE = ( SELECT TOP 1 JOBCODE FROM STUFF WHERE EMPCODE<>Y.MGRCODE AND
Y.MGRCODE IN (SELECT MGRCODE FROM STUFF WHERE EMPCODE=MGRCODE AND JOBCODE='ABC')
;WITH cteJobCodeRowNum AS (
SELECT
ManagerCode
,JobCode
,ROW_NUMBER() OVER (PARTITION BY ManagerCode ORDER BY UpdateDate DESC) as RowNumber
FROM
#Table
)
UPDATE t
SET JobCode = r.JobCode
FROM
#Table t
INNER JOIN cteJobCodeRowNum r
ON t.EmpCode = r.ManagerCode
AND r.RowNumber = 1
AND t.JobCode <> r.JobCode
WHERE
t.JobCode = 'ABC'
Use a partitioned window function to generate a Row Number to choose the Job Code you want. Partition by ManagerCode and order by UpdateDate descending. Then join that common table expression (or derived table if you nest it) to your table based on EmpCode = ManagerCode To Update The Managers record. You can also then constrain it only to when the Manager has a Job Code of 'ABC' and the job code returned by the row number is different so you only update a specific set of rows.
Another similar method is to create your own row number by using a related cross apply such as:
UPDATE t1
SET JobCode = NewJobCode
FROM
#Table t1
CROSS APPLY (SELECT TOP 1 JobCode as NewJobCode FROM #Table t2 WHERE t1.EmpCode = t2.ManagerCode ORDER BY t2.UpdateDate DESC) n
WHERE
t1.JobCode = 'ABC'
AND t1.JobCode <> n.NewJobCode
Here is a full working example of the window function method:
DECLARE #Table AS TABLE (JobCode CHAR(3), EmpCode VARCHAR(2), ManagerCode VARCHAR(2), UpdateDate DATETIME)
INSERT INTO #Table (JobCode, EmpCode, ManagerCode, UpdateDate)
VALUES ('ABC','A','A',GETDATE()-1),('121','B','B',GETDATE()-1)
,('ABC','A1','A1',GETDATE()-1)
,('234','B1','A1',GETDATE()+1)
,('342','C1','A1',GETDATE()-1)
,('000','A2','A2',GETDATE()-1)
,('000','B2','B2',GETDATE()-1)
SELECT *
FROM
#Table
;WITH cteJobCodeRowNum AS (
SELECT
ManagerCode
,JobCode
,ROW_NUMBER() OVER (PARTITION BY ManagerCode ORDER BY UpdateDate DESC) as RowNumber
FROM
#Table
)
UPDATE t
SET JobCode = r.JobCode
FROM
#Table t
INNER JOIN cteJobCodeRowNum r
ON t.EmpCode = r.ManagerCode
AND r.RowNumber = 1
AND t.JobCode <> r.JobCode
WHERE
t.JobCode = 'ABC'
SELECT *
FROM
#Table
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
I want to add a column to my table that is like the following:
This is just an example of how the table is structured, the real table is more than 10.000 rows.
No_ Name Account_Type Subgroup (New_Column)
100 Sales 3
200 Underwear 0 250 *100
300 Bikes 0 250 *100
400 Profit 3
500 Cash 0 450 *400
So for every time there is a value in 'Subgroup' I want the (New_Column) to get the value [No_] from the row above
No_ Name Account_Type Subgroup (New_Column)
100 Sales 3
150 TotalSales 3
200 Underwear 0 250 *150
300 Bikes 0 250 *150
400 Profit 3
500 Cash 0 450 *400
There are cases where the table is like the above, where two "Headers" are above. And in that case I also want the first above row (150) in this case.
Is this a case for a cursor or what do you recommend?
The data is ordered by No_
--EDIT--
Starting from the first line and then running through the whole table:
Is there a way I can store the value for [No_] where [Subgroup] is ''?
And following that insert this [No_] value in the (New_Column) in each row below having value in the [Subgroup] row.
And when the [Subgroup] row is empty the process will keep going, inserting the next [No_] value in (New_Column), that is if the next line has a value in [Subgroup]
Here is a better image for what I´m trying to do:
SQL Server 2012 suggests using Window Offset Functions.
In this case : LAG
Something like this:
SELECT [No_]
,[Name]
,[Account_Type]
,[Subgroup]
,LAG([No_]) OVER(PARTITION BY [Subgroup]
ORDER BY [No_]) as [PrevValue]
FROM table
Here is an example from MS:
http://technet.microsoft.com/en-us/library/hh231256.aspx
The ROW_NUMBER function will allow you to find out what number the row is, but because it is a windowed function, you will have to use a common table expression (CTE) to join the table with itself.
WITH cte AS
(
SELECT [No_], Name, Account_Type, Subgroup, [Row] = ROW_NUMBER() OVER (ORDER BY [No_])
FROM table
)
SELECT t1.*, t2.[No_]
FROM cte t1
LEFT JOIN cte t2 ON t1.Row = t2.Row - 1
Hope this helps.
Next query will return Name of the parent row instead of the row itself, i.e. Sales for both Sales, Underwear, Bikes; and Profit for Profit, Cash:
select ISNULL(t2.Name, t1.Name)
from table t1
left join table t2 on t1.NewColumn = t2.No
So in SQL Server 2008 i created test table with 3 values in it:
create table #ttable
(
id int primary key identity,
number int,
number_prev int
)
Go
Insert Into #ttable (number)
Output inserted.id
Values (10), (20), (30);
Insert in table, that does what you need (at least if understood correctly) looks like this:
declare #new_value int;
set #new_value = 13; -- NEW value
Insert Into #ttable (number, number_prev)
Values (#new_value,
(Select Max(number) From #ttable t Where t.number < #new_value))
[This part added] And to work with subgroup- just modify the inner select to filter out it:
Select Max(number) From #ttable t
Where t.number < #new_value And Subgroup != #Subgroup
SELECT
No_
, Name
, Account_Type
, Subgroup
, ( SELECT MAX(above.No_)
FROM TableX AS above
WHERE above.No_ < a.No_
AND above.Account_Type = 3
AND a.Account_Type <> 3
) AS NewColumn
FROM
TableX AS a