SQL Pivot Convert Null to 0 [duplicate] - sql

I tried to convert the (null) values with 0 (zeros) output in PIVOT function but have no success.
Below is the table and the syntax I've tried:
SELECT
CLASS,
[AZ],
[CA],
[TX]
FROM #TEMP
PIVOT (SUM(DATA)
FOR STATE IN ([AZ], [CA], [TX])) AS PVT
ORDER BY CLASS
CLASS AZ CA TX
RICE 10 4 (null)
COIN 30 3 2
VEGIE (null) (null) 9
I tried to use the ISNULL but did not work.
PIVOT SUM(ISNULL(DATA,0)) AS QTY
What syntax do I need to use?

SELECT CLASS,
isnull([AZ],0),
isnull([CA],0),
isnull([TX],0)
FROM #TEMP
PIVOT (SUM(DATA)
FOR STATE IN ([AZ], [CA], [TX])) AS PVT
ORDER BY CLASS

If you have a situation where you are using dynamic columns in your pivot statement you could use the following:
DECLARE #cols NVARCHAR(MAX)
DECLARE #colsWithNoNulls NVARCHAR(MAX)
DECLARE #query NVARCHAR(MAX)
SET #cols = STUFF((SELECT distinct ',' + QUOTENAME(Name)
FROM Hospital
WHERE Active = 1 AND StateId IS NOT NULL
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
SET #colsWithNoNulls = STUFF(
(
SELECT distinct ',ISNULL(' + QUOTENAME(Name) + ', ''No'') ' + QUOTENAME(Name)
FROM Hospital
WHERE Active = 1 AND StateId IS NOT NULL
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
EXEC ('
SELECT Clinician, ' + #colsWithNoNulls + '
FROM
(
SELECT DISTINCT p.FullName AS Clinician, h.Name, CASE WHEN phl.personhospitalloginid IS NOT NULL THEN ''Yes'' ELSE ''No'' END AS HasLogin
FROM Person p
INNER JOIN personlicense pl ON pl.personid = p.personid
INNER JOIN LicenseType lt on lt.licensetypeid = pl.licensetypeid
INNER JOIN licensetypegroup ltg ON ltg.licensetypegroupid = lt.licensetypegroupid
INNER JOIN Hospital h ON h.StateId = pl.StateId
LEFT JOIN PersonHospitalLogin phl ON phl.personid = p.personid AND phl.HospitalId = h.hospitalid
WHERE ltg.Name = ''RN'' AND
pl.licenseactivestatusid = 2 AND
h.Active = 1 AND
h.StateId IS NOT NULL
) AS Results
PIVOT
(
MAX(HasLogin)
FOR Name IN (' + #cols + ')
) p
')

You cannot place the IsNull() until after the data is selected so you will place the IsNull() around the final value in the SELECT:
SELECT CLASS,
IsNull([AZ], 0) as [AZ],
IsNull([CA], 0) as [CA],
IsNull([TX], 0) as [TX]
FROM #TEMP
PIVOT
(
SUM(DATA)
FOR STATE IN ([AZ], [CA], [TX])
) AS PVT
ORDER BY CLASS

Sometimes it's better to think like a parser, like T-SQL parser. While executing the statement, parser does not have any value in Pivot section and you can't have any check expression in that section. By the way, you can simply use this:
SELECT CLASS
, IsNull([AZ], 0)
, IsNull([CA], 0)
, IsNull([TX], 0)
FROM #TEMP
PIVOT (
SUM(DATA)
FOR STATE IN (
[AZ]
, [CA]
, [TX]
)
) AS PVT
ORDER BY CLASS

You have to account for all values in the pivot set. you can accomplish this using a cartesian product.
select pivoted.*
from (
select cartesian.key1, cartesian.key2, isnull(relationship.[value],'nullvalue') as [value]
from (
select k1.key1, k2.key2
from ( select distinct key1 from relationship) k1
,( select distinct key2 from relationship) k2
) cartesian
left outer join relationship on relationship.key1 = cartesian.key1 and relationship.key2 = carterisan.key2
) data
pivot (
max(data.value) for ([key2_v1], [key2_v2], [key2_v3], ...)
) pivoted

To modify the results under pivot, you can put the columns in the selected fields and then modify them accordingly. May be you can use DECODE for the columns you have built using pivot function.
Kranti A

I have encountered a similar problem. The root cause is that (use your scenario for my case), in the #temp table, there is no record for:
a. CLASS=RICE and STATE=TX
b. CLASS=VEGIE and (STATE=AZ or STATE=CA)
So, when MSSQL does pivot for no record, MSSQL always shows NULL for MAX, SUM, ... (aggregate functions).
None of above solutions (IsNull([AZ], 0)) works for me, but I do get ideas from these solutions.
Sorry, it really depends on the #TEMP table. I can only provide some suggestions.
Make sure #TEMP table have records for below condition, even Data is null.
a. CLASS=RICE and STATE=TX
b. CLASS=VEGIE and (STATE=AZ or STATE=CA)
You may need to use cartesian product: select A.*, B.* from A, B
In the select query for #temp, if you need to join any table with WHERE, then would better put where inside another sub select query. (Goal is 1.)
Use isnull(DATA, 0) in #TEMP table.
Before pivot, make sure you have achieved Goal 1.
I can't give an answer to the original question, since there is no enough info for #temp table. I have pasted my code as example here.
SELECT * FROM (
SELECT eeee.id as enterprise_id
, eeee.name AS enterprise_name
, eeee.indicator_name
, CONVERT(varchar(12) , isnull(eid.[date],'2019-12-01') , 23) AS data_date
, isnull(eid.value,0) AS indicator_value
FROM (select ei.id as indicator_id, ei.name as indicator_name, e.* FROM tbl_enterprise_indicator ei, tbl_enterprise e) eeee
LEFT JOIN (select * from tbl_enterprise_indicator_data WHERE [date]='2020-01-01') eid
ON eeee.id = eid.enterprise_id and eeee.indicator_id = enterprise_indicator_id
) AS P
PIVOT
(
SUM(P.indicator_value) FOR P.indicator_name IN(TX,CA)
) AS T

Related

SQL Server - Dynamic Pivot with 2 Group Variables and 2 Aggregate Calculations

I have a dataset that is shaped like this:
I am trying to convert the data to this format:
As you can see, I'd like to sum the accounts and revenue (for each month) by State and Account Type. It is important to note that I seek a dynamic solution as these ARE NOT the only values (hard-coding is not an option!).
What SQL query can I write to accomplish this task, dynamically? (as these values are not the only ones present in the complete dataset).
Thanks!
I'm assuming you want to keep the columns in order by date, thus the top 100 percent ... order by in the section where we generate the columns
Example
Declare #SQL varchar(max) = '
Select *
From (
Select [State]
,[AccountType]
,B.*
From YourTable A
Cross Apply ( values (concat(''Accounts_'',format([Date],''MM/dd/yyyy'')),Accounts)
,(concat(''Revenue_'' ,format([Date],''MM/dd/yyyy'')),Revenue)
) B (Item,Value)
) A
Pivot (sum([Value]) For [Item] in (' + Stuff((Select ','+QuoteName('Accounts_'+format([Date],'MM/dd/yyyy'))
+','+QuoteName('Revenue_' +format([Date],'MM/dd/yyyy'))
From (Select top 100 percent [Date] from YourTable Group By [Date] Order by [Date] ) A
For XML Path('')),1,1,'') + ') ) p'
--Print #SQL
Exec(#SQL)
Returns
If it helps, the generated SQL looks like this:
Select *
From (
Select [State]
,[AccountType]
,B.*
From YourTable A
Cross Apply ( values (concat('Accounts_',format([Date],'MM/dd/yyyy')),Accounts)
,(concat('Revenue_' ,format([Date],'MM/dd/yyyy')),Revenue)
) B (Item,Value)
) A
Pivot (sum([Value]) For [Item] in ([Accounts_12/31/2017],[Revenue_12/31/2017],[Accounts_01/31/2018],[Revenue_01/31/2018]) ) p

How to sum values of multiple columns in SQL Server

SELECT
name
FROM
sys.all.column
WHERE object_id = (SELECT object_id
FROM sys.all_objects
WHERE name ='name of my table' and type = 'TT')
AND name NOT IN (list of columns that I don't need)
How do I sum all the values of the returned columns from the preceding SQL query?
Another option which does not require dynamic SQL, but only a CROSS APPLY or two
Just for fun, I add Min, Max, and Avg just to illustrate... Also added a PctOfTotal or Common-Size
Declare #YourTable table (ID int,CustName varchar(50),Sales_Jan int,Sales_Feb int,Sales_Mar int)
Insert into #YourTable values
(1,'John Smith',25,25,50),
(2,'Jane Doe' ,35,20,null)
Select A.*
,C.*
,PctOfTotal = Format(C.Total*1.0/Sum(C.Total) over (),'0.00%')
From #YourTable A
Cross Apply (Select XMLData=cast((Select A.* For XML RAW) as xml)) B
Cross Apply (
Select Total = Sum(Value)
,Min = Min(Value)
,Max = Max(Value)
,Avg = Avg(Value)
From (
Select Value = attr.value('.','int')
From B.XMLData.nodes('/row') as A(r)
Cross Apply A.r.nodes('./#*') AS B(attr)
Where attr.value('local-name(.)','varchar(100)') Like 'Sales_%'
--Or you can Exclude Specific Columns
--Where attr.value('local-name(.)','varchar(100)') not in ('ID','CustName')
) S
) C
Returns
If I understand correctly, you want to find out some columns from meta tables that you want to sum, and then sum those columns on the given table. You can use dynamic SQL to achieve this:
create table t(a integer, b integer, c integer);
insert into t values(1,2,3);
declare #tab varchar(100);
declare #sql varchar(max);
set #sql = '';
set #tab = 't';
select #sql = #sql + '+' + a.name from sys.all_columns a
inner join
sys.all_objects b
on a.object_id = b.object_id
where b.name = #tab
and a.name not in ('c');
set #sql = 'select ' + stuff(#sql, 1, 1, '') + ' from ' + #tab;
exec(#sql);
Produces:
3
select col1,col2,col3,col4,NVL(col1,0)+NVL(col2,0)+NVL(col3,0)+NVL(col4,0)
from
(select *
from sys.all.column
where object_id =(select object_id from sys.all.object where name ='name of my table')
and name not in (list of columns that I dont need).)
A | B | Total(col1+col2)
------+------+-------
1 | 2 | 3
---------------------
1 | | 1
Whatever columns you get, sum it and put them as seperate column in the result table.

Dynamic SELECT statement, generate columns based on present and future values

Currently building a SELECT statement in SQL Server 2008 but would like to make this SELECT statement dynamic, so the columns can be defined based on values in a table. I heard about pivot table and cursors, but seems kind of hard to understand at my current level, here is the code;
DECLARE #date DATE = null
IF #date is null
set # date = GETDATE() as DATE
SELECT
Name,
value1,
value2,
value3,
value4
FROM ref_Table a
FULL OUTER JOIN (
SELECT
PK_ID ID,
sum(case when FK_ContainerType_ID = 1 then 1 else null) Box,
sum(case when FK_ContainerType_ID = 2 then 1 else null) Pallet,
sum(case when FK_ContainerType_ID = 3 then 1 else null) Bag,
sum(case when FK_ContainerType_ID = 4 then 1 else null) Drum
from
Packages
WHERE
#date between PackageStart AND PackageEnd
group by PK_ID ) b on a.Name = b.ID
where
Group = 0
The following works great for me , but PK_Type_ID and the name of the column(PackageNameX,..) are hard coded, I need to be dynamic and it can build itself based on present or futures values in the Package table.
Any help or guidance on the right direction would be greatly appreciated...,
As requested
ref_Table (PK_ID, Name)
1, John
2, Mary
3, Albert
4, Jane
Packages (PK_ID, FK_ref_Table_ID, FK_ContainerType_ID, PackageStartDate, PackageEndDate)
1 , 1, 4, 1JAN2014, 30JAN2014
2 , 2, 3, 1JAN2014, 30JAN2014
3 , 3, 2, 1JAN2014, 30JAN2014
4 , 4, 1, 1JAN2014, 30JAN2014
ContainerType (PK_ID, Type)
1, Box
2, Pallet
3, Bag
4, Drum
and the result should look like this;
Name Box Pallet Bag Drum
---------------------------------------
John 1
Mary 1
Albert 1
Jane 1
The following code like I said works great, the issue is the Container table is going to grow and I need to replicated the same report without hard coding the columns.
What you need to build is called a dynamic pivot. There are plenty of good references on Stack if you search out that term.
Here is a solution to your scenario:
IF OBJECT_ID('tempdb..##ref_Table') IS NOT NULL
DROP TABLE ##ref_Table
IF OBJECT_ID('tempdb..##Packages') IS NOT NULL
DROP TABLE ##Packages
IF OBJECT_ID('tempdb..##ContainerType') IS NOT NULL
DROP TABLE ##ContainerType
SET NOCOUNT ON
CREATE TABLE ##ref_Table (PK_ID INT, NAME NVARCHAR(50))
CREATE TABLE ##Packages (PK_ID INT, FK_ref_Table_ID INT, FK_ContainerType_ID INT, PackageStartDate DATE, PackageEndDate DATE)
CREATE TABLE ##ContainerType (PK_ID INT, [Type] NVARCHAR(50))
INSERT INTO ##ref_Table (PK_ID,NAME)
SELECT 1,'John' UNION
SELECT 2,'Mary' UNION
SELECT 3,'Albert' UNION
SELECT 4,'Jane'
INSERT INTO ##Packages (PK_ID, FK_ref_Table_ID, FK_ContainerType_ID, PackageStartDate, PackageEndDate)
SELECT 1,1,4,'2014-01-01','2014-01-30' UNION
SELECT 2,2,3,'2014-01-01','2014-01-30' UNION
SELECT 3,3,2,'2014-01-01','2014-01-30' UNION
SELECT 4,4,1,'2014-01-01','2014-01-30'
INSERT INTO ##ContainerType (PK_ID, [Type])
SELECT 1,'Box' UNION
SELECT 2,'Pallet' UNION
SELECT 3,'Bag' UNION
SELECT 4,'Drum'
DECLARE #DATE DATE, #PARAMDEF NVARCHAR(MAX), #COLS NVARCHAR(MAX), #SQL NVARCHAR(MAX)
SET #DATE = '2014-01-15'
SET #COLS = STUFF((SELECT DISTINCT ',' + QUOTENAME(T.[Type])
FROM ##ContainerType T
FOR XML PATH, TYPE).value('.', 'NVARCHAR(MAX)'),1,1,'')
SET #SQL = 'SELECT [Name], ' + #COLS + '
FROM (SELECT [Name], [Type], 1 AS Value
FROM ##ref_Table R
JOIN ##Packages P ON R.PK_ID = P.FK_ref_Table_ID
JOIN ##ContainerType T ON P.FK_ContainerType_ID = T.PK_ID
WHERE #DATE BETWEEN P.PackageStartDate AND P.PackageEndDate) X
PIVOT (COUNT(Value) FOR [Type] IN (' + #COLS + ')) P
'
PRINT #COLS
PRINT #SQL
SET #PARAMDEF = '#DATE DATE'
EXEC SP_EXECUTESQL #SQL, #PARAMDEF, #DATE=#DATE
Output:
Name Bag Box Drum Pallet
Albert 0 0 0 1
Jane 0 1 0 0
John 0 0 1 0
Mary 1 0 0 0
Static Query:
SELECT [Name],[Box],[Pallet],[Bag],[Drum] FROM
(
SELECT *
FROM
(
SELECT rf.Name,cnt.[Type], pk.PK_ID AS PKID, rf.PK_ID AS RFID
FROM ref_Table rf INNER JOIN Packages pk ON rf.PK_ID = pk.FK_ref_Table_ID
INNER JOIN ContanerType cnt ON cnt.PK_ID = pk.FK_ContainerType_ID
) AS SourceTable
PIVOT
(
COUNT(PKID )
FOR [Type]
IN ( [Box],[Pallet],[Bag],[Drum])
) AS PivotTable
) AS Main
ORDER BY RFID
Dynamic Query:
DECLARE #columnList nvarchar (MAX)
DECLARE #pivotsql nvarchar (MAX)
SELECT #columnList = STUFF(
(
SELECT ',' + '[' + [Type] + ']'
FROM ContanerType
FOR XML PATH( '')
)
,1, 1,'' )
SET #pivotsql =
N'SELECT [Name],' + #columnList + ' FROM
(
SELECT *
FROM
(
SELECT rf.Name,cnt.[Type], pk.PK_ID AS PKID, rf.PK_ID AS RFID
FROM ref_Table rf INNER JOIN Packages pk ON rf.PK_ID = pk.FK_ref_Table_ID
INNER JOIN ContanerType cnt ON cnt.PK_ID = pk.FK_ContainerType_ID
) AS SourceTable
PIVOT
(
COUNT(PKID )
FOR [Type]
IN ( ' + #columnList + ')
) AS PivotTable
) AS Main
ORDER BY RFID;'
EXEC sp_executesql #pivotsql
Following my tutorial below will help you to understand the PIVOT functionality:
We write sql queries in order to get different result sets like full, partial, calculated, grouped, sorted etc from the database tables. However sometimes we have requirements that we have to rotate our tables. Sounds confusing?
Let's keep it simple and consider the following two screen grabs.
SQL Table:
Expected Results:
Wow, that's look like a lot of work! That is a combination of tricky sql, temporary tables, loops, aggregation......, blah blah blah
Don't worry let's keep it simple, stupid(KISS).
MS SQL Server 2005 and above has a function called PIVOT. It s very simple to use and powerful. With the help of this function we will be able to rotate sql tables and result sets.
Simple steps to make it happen:
Identify all the columns those will be part of the desired result set.
Find the column on which we will apply aggregation(sum,ave,max,min etc)
Identify the column which values will be the column header.
Specify the column values mentioned in step3 with comma separated and surrounded by square brackets.
So, if we now follow above four steps and extract information from the above sales table, it will be as below:
Year, Month, SalesAmount
SalesAmount
Month
[Jan],[Feb] ,[Mar] .... etc
We are nearly there if all the above steps made sense to you so far.
Now we have all the information we need. All we have to do now is to fill the below template with required information.
Template:
Our SQL query should look like below:
SELECT *
FROM
(
SELECT SalesYear, SalesMonth,Amount
FROM Sales
) AS SourceTable
PIVOT
(
SUM(Amount )
FOR SalesMonth
IN ( [Jan],[Feb] ,[Mar],
[Apr],[May],[Jun] ,[Jul],
[Aug],[Sep] ,[Oct],[Nov] ,[Dec])
) AS PivotTable;
In the above query we have hard coded the column names. Well it's not fun when you have to specify a number of columns.
However, there is a work arround as follows:
DECLARE #columnList nvarchar (MAX)
DECLARE #pivotsql nvarchar (MAX)
SELECT #columnList = STUFF(
(
SELECT ',' + '[' + SalesMonth + ']'
FROM Sales
GROUP BY SalesMonth
FOR XML PATH( '')
)
,1, 1,'' )
SET #pivotsql =
N'SELECT *
FROM
(
SELECT SalesYear, SalesMonth,Amount
FROM Sales
) AS SourceTable
PIVOT
(
SUM(Amount )
FOR SalesMonth
IN ( ' + #columnList +' )
) AS PivotTable;'
EXEC sp_executesql #pivotsql
Hopefully this tutorial will be a help to someone somewhere.
Enjoy coding.

Comma Separated SQL Server Result Set 'JOINED' with other Columns

I have a table say ProjectMaster:
Id ProjectName
1 A
2 B
3 C
another table ProjectMeter
Id ProjectId MeterNumber
1 1 #0001
2 1 #0002
3 1 #0003
4 2 #0004
5 2 #0005
6 3 #0006
I wish to have following output
ProjectName MeterNumbers
A #0001, #0002, #0003
B #0004, #0005
C #0006
I tried this and this, but unable to solve my problem.
I cannot use a table variable.
I have a already written Stored Procedure and it brings data from many joined tables. ProjectMaster also happens to be joined in one of these tables. Now am required to fetch data from ProjectMeter, such that, each row has concatenated ProjectMeter.MeterNumber corresponding to the ProjectId in that column.
right now, I get concatenated list of all meternumbers in all the rows.
I cannot use CURSOR, TABLE variable , Temp TABLE
( I hope still something can be done to my cause)
please help.....
Try this:
SELECT projectname, STUFF((SELECT distinct ', ' + meternumber
from projectmeter m
where p.id = m.projectid
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'') MeterNumbers
from projectmaster p
See SQL Fiddle with Demo
DECLARE #ProjectMaster AS TABLE
(
ID INT IDENTITY(1, 1) ,
ProjectName VARCHAR(2)
)
DECLARE #ProjectMeter AS TABLE
(
ID INT IDENTITY(1, 1) ,
ProjectID INT ,
MeterNumber VARCHAR(50)
)
INSERT INTO #ProjectMaster
( ProjectName )
VALUES ( 'A' )
INSERT INTO #ProjectMeter
( ProjectID, MeterNumber )
VALUES ( 1, '#0001' )
INSERT INTO #ProjectMeter
( ProjectID, MeterNumber )
VALUES ( 1, '#0002' )
SELECT pMaster.ID, STUFF(( SELECT ',' + MeterNumber
FROM #ProjectMeter
FOR
XML PATH('')
), 1, 1, '') AS 'Concat Result'
FROM #ProjectMeter pMeter
INNER JOIN #ProjectMaster pMaster ON pMaster.ID = pMeter.ProjectID
GROUP BY pMaster.ID
I have used table variables here but surely you just need to drop the #'s as I have used the same table names as you have specified? Not sure if this is okay? :)
Also in MS SQL you can do it using recursive query with CTE.
Here is a SQLFiddle demo
;with t1 as (
select t.*,
cast(meternumber as varchar(max)) as m2,
0 as level
from ProjectMeter t
where not exists
(select id
from ProjectMeter l
where l.id<t.id and l.ProjectId=t.ProjectID
)
union all
select b.*,
cast(c.m2+','+b.MeterNumber as varchar(max)) as m2,
c.level+1 as level
from ProjectMeter b
inner join t1 c
on (c.id < b.id) and (b.ProjectID=c.ProjectId)
)
select pm.ProjectName as ProjectName,
t1.m2 as MeterNumbers
from t1
inner join
(select ProjectId,max(level) ml
from t1
group by ProjectId
) t2
on (t1.ProjectId=t2.ProjectID) and (t1.level=t2.ml)
left join ProjectMaster pm
on (t1.ProjectId=pm.Id)
order by t1.ProjectID

Count Distinct Values FROM Column

I have Written a query which returns multiple column.Out of which One Column contains repetitive entries.
FAULT_SHORT_NAME
ATM DOWN DUE TO LINK PROBLEM
ATM DOWN DUE TO LINK PROBLEM
ALL CASSETTES FAULTED
ALL CASSETTES FAULTED
ATM IS MARK DOWN
ATM IS MARK DOWN
Now I want to Modify My query in Such a way that it will show me Value Count as
ATM DOWN DUE TO LINK PROBLEM ALL CASSETTES FAULTED ATM IS MARK DOWN
2 2 2
There Can be Different "FAULT_SHORT_NAME" Values so Cant Hard Code them.My Original Query is
Select * From ATMStatus S Left Join ATM A on S.ATM=A.Code
Left Join EventMsg E On S.Fault=E.Code
Where A.ATMStatus=0 AND S.TicketBooked <> 0
FAULT_SHORT_NAME is Column of Table "EventMsg"
It looks like you want a PIVOT since you want the values as columns instead of rows. there are two ways to do this either a Static or dynamic pivot.
Static Pivot, you hard-code the values of the columns:
SELECT *
FROM
(
Select *
From ATMStatus S
Left Join ATM A
on S.ATM=A.Code
Left Join EventMsg E
On S.Fault=E.Code
Where A.ATMStatus=0
AND S.TicketBooked <> 0
) x
PIVOT
(
count(*)
for FAULT_SHORT_NAME in ([ATM DOWN DUE TO LINK PROBLEM],
[ALL CASSETTES FAULTED], [ATM IS MARK DOWN])
) p
Dynamic Pivot, the columns are generated at run-time:
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT distinct ',' + QUOTENAME(FAULT_SHORT_NAME)
from EventMsg
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query
= 'SELECT ' + #cols + ' from
(
Select *
From ATMStatus S
Left Join ATM A
on S.ATM=A.Code
Left Join EventMsg E
On S.Fault=E.Code
Where A.ATMStatus=0
AND S.TicketBooked <> 0
) x
pivot
(
count(*)
for FAULT_SHORT_NAME in(' + #cols + ')
) p '
execute(#query)
Both will produce the same results. If you provide additional details about the tables and some sample data, then I could provide a more exact example.