I have the following code:
select
FeeEarnerID,
(
select
(select [name] from [User] AS u where u.userid=f.userid)
from
feeearner AS f
where
f.FeeEarnerID=aa.FeeEarnerID
) FeeEarner,
sum(aa.FEES) Fees,
sum(aa.DISB) Disbursements,
sum(aa.CREDITORS) Creditors
from
(
SELECT
FeeEarner.FeeEarnerID,
case when WIPTransaction.WIPTransactionTypeID IN (1,17,18,20,21,25) then WIPTransaction.Amount else 0 end 'FEES',
case when WIPTransaction.WIPTransactionTypeID IN (2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,26,27,28,29) then WIPTransaction.Amount else 0 end 'DISB',
case when WIPTransaction.WIPTransactionTypeID IN (24) then WIPTransaction.Amount else 0 end 'CREDITORS'
FROM
(
(
FeeEarner
JOIN
WIPTransaction ON FeeEarner.FeeEarnerID = WIPTransaction.FeeEarnerID
)
JOIN
WIPTransactionType ON WIPTransactionType.WIPTransactionTypeID = WIPTransaction.WIPTransactionTypeID
)
WHERE
(WIPTransaction.TransactionDate BETWEEN '2020-10-01' AND '2020-12-31')
)
AS aa
group by
FeeEarnerID
Used Table names: WIPtransaction, WIPtransactiontype, Feeearner
I want to display two more columns at the end of the output, namely: Invoiced and Uninvoiced.
The "Invoicenumber" field in the "WIPtransaction" database will be tested for this. If the "Invoicenumber" is NULL - the transaction amount will be added to a sum in the uninvoiced column and if "Invoicenumber" contains a number - the transaction amount will be added to a sum in the invoiced column.
What is the code that I would need to write and where would it be placed?
select
FeeEarnerID,
(
select
(select [name] from [User] AS u where u.userid=f.userid)
from
feeearner AS f
where
f.FeeEarnerID=aa.FeeEarnerID
) FeeEarner,
sum(aa.FEES) Fees,
sum(aa.DISB) Disbursements,
sum(aa.CREDITORS) Creditors,
----------
SUM( InvoicedAmount) AS InvoicedAmount,
SUM(UnInvoicedAmount) AS UnInvoicedAmount
----------
from
(
SELECT
FeeEarner.FeeEarnerID,
case when WIPTransaction.WIPTransactionTypeID IN (1,17,18,20,21,25) then WIPTransaction.Amount else 0 end 'FEES',
case when WIPTransaction.WIPTransactionTypeID IN (2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,26,27,28,29) then WIPTransaction.Amount else 0 end 'DISB',
case when WIPTransaction.WIPTransactionTypeID IN (24) then WIPTransaction.Amount else 0 end 'CREDITORS',
----------
CASE WHEN WIPTransaction.Invoicenumber IS NOT NULL THEN WIPTransaction.Amount END AS InvoicedAmount,
CASE WHEN WIPTransaction.Invoicenumber IS NULL THEN WIPTransaction.Amount END AS UnInvoicedAmount
----------
FROM
FeeEarner
JOIN
WIPTransaction ON FeeEarner.FeeEarnerID = WIPTransaction.FeeEarnerID
JOIN
WIPTransactionType ON WIPTransactionType.WIPTransactionTypeID = WIPTransaction.WIPTransactionTypeID
WHERE
WIPTransaction.TransactionDate BETWEEN '2020-10-01' AND '2020-12-31'
)
AS aa
group by
FeeEarnerID
You can remove your derived query and combine it all into one. The FeeEarner double sub-query can also be optimized:
select
FeeEarnerID,
(
select [name] from [User] AS u where u.userid=FeeEarner.userid
) FeeEarner,
sum(case when WIPTransaction.WIPTransactionTypeID IN (1,17,18,20,21,25) then WIPTransaction.Amount else 0 end) Fees,
sum(case when WIPTransaction.WIPTransactionTypeID IN (2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,26,27,28,29) then WIPTransaction.Amount else 0 end) Disbursements,
sum(case when WIPTransaction.WIPTransactionTypeID IN (24) then WIPTransaction.Amount else 0 end) Creditors,
SUM(CASE WHEN WIPTransaction.Invoicenumber IS NOT NULL THEN WIPTransaction.Amount END) AS InvoicedAmount,
SUM(CASE WHEN WIPTransaction.Invoicenumber IS NULL THEN WIPTransaction.Amount END) AS UnInvoicedAmount
FROM
FeeEarner
JOIN
WIPTransaction ON FeeEarner.FeeEarnerID = WIPTransaction.FeeEarnerID
JOIN
WIPTransactionType ON WIPTransactionType.WIPTransactionTypeID = WIPTransaction.WIPTransactionTypeID
WHERE
WIPTransaction.TransactionDate BETWEEN '2020-10-01' AND '2020-12-31'
group by
FeeEarnerID;
Related
with totals as (select two_sim_ind,
case when account_type_key in(86,88,13,113,37,39,131) then 'B2C' else 'B2B' end as Segment,
case when subs_activation_date_key >= time_key then 'New' else 'Old' end as Sales_to_active,
time_key as TIME_KEY, name_region as REGION, area_name as DISTRICT, sim_type as USIM_FLAG,
case when lte_device = 1 or lte_ind in('Yes') or lte_user > 0 then '4G Device'
when ind_3g in('Yes') and lte_ind in('No') then '3G Device' else '2G Device' end as device_tech_support,
device_type as DEVICE_TYPE,
case when device_type in('Smartphone') then 'Yes' else 'No' end as is_Smartphone_AAB,
case when data_user in(0) then 'No' else 'Yes' end as is_Data_User,
case when lte_user in(0) then 'No' else 'Yes' end as is_4G_Data_User,
count(distinct subs_key) as A1M,
sum(total_revenue) as REVENUE_TOTAL,
sum(data_traffic_local_2g + data_traffic_local_3g+data_traffic_local_4g) as TRAFFIC_DATA_full_Sum,
sum(data_traffic_local_2g + data_traffic_local_3g) as g2_g3_traffic,
sum(data_traffic_local_4g) as Data_traffic_4g
from dwh.m as m
left join (select model_name, ind_3g, lte_ind
from dwh.w) as devices
on m.model_name = devices.model_name
where rtc_active_ind > 0 and subs_status_key in ('A', 'S')
and (time_key >= '2021-12-01' and time_key <= '2021-12-01')
group by two_sim_ind,
case when account_type_key in(86,88,13,113,37,39,131) then 'B2C' else 'B2B' end,
case when subs_activation_date_key >= time_key then 'New' else 'Old' end,
case when data_user in(0) then 'No' else 'Yes' end,
case when lte_device = 1 or lte_ind in('Yes') or lte_user > 0 then '4G Device'
when ind_3g in('Yes') and lte_ind in('No') then '3G Device' else '2G Device' end,
time_key, name_region, area_name, sim_type, device_type, lte_user)
select REGION, sum(REVENUE_TOTAL)
from totals
group by REGION
When I aggregate total of all records by region, value is significantly higher than it should be.
Result I get:
select name_region as REGION, sum(total_revenue)
from dwh.m
where (time_key >= '2021-12-01' and time_key <= '2021-12-01')
and rtc_active_ind > 0 and subs_status_key in ('A', 'S')
group by name_region;
Result of query and what I need:
Something happens to individual records when grouping by? What could be the reason?
I have been tasked with taking a group of customers and splitting them into two equal groups for each store location. The result set requested would have the two groups for each store location within 1% of each other on customer count, within 1% of each other on order count, and within 1% of each other on amount ordered.
Below is the code I came up with and it works fairly well and most of the time it gets the desired result but sometimes(I think due to an outlier in the group) the % will be further off than 1%.
If OBJECT_ID('tempdb.dbo.#Orders') IS NOT NULL DROP TABLE #Orders
Select
StoreID
,CustomerID
,Sum(OrderID) as Orders
,Sum(OrderAmount) as AmountSold
Into #Orders
From CustomerOrders
Group by StoreID,CustomerID
IF OBJECT_ID('tempdb.dbo.#OrderRanking') IS NOT NULL DROP TABLE #OrderRanking
Select
O.*
,ROW_NUMBER() Over(Partition by StoreID Order by AmountSold, Orders) as Ranking
Into #OrderRanking
From #Orders as O
Select
R.StoreID
,Count(CustomerID) as CustomerCount
,Sum(R.Orders) as Orders
,Sum(R.AmountSold) as Amountsold
,Case When Ranking%2 = 0 Then 'A' Else 'B' End as 'Grouping'
From #OrderRanking as R
Group by
R.StoreID
,Case When Ranking%2 = 0 Then 'A' Else 'B' End
Is there a better way to split the groups to ensure the 1% variance? Or maybe a way to loop through several different splits until it finds a 1%? If looping would need a fail safe to prevent infinite loop in case of impossible split something like after x loops just take closest split.
I am using SQL Server 2012 and SSMS 2016. Thanks for any help you can provide.
Edit:
I had tried to convert the code into something not company specific I messed up the code. I realized that and adjusted the code to show what is truly being sought after.
Edit2: I made some progress on my own and wanted to update the question.
So I was working on this some more and I was able to get it to sort on a random order each time you run the code and have it display the Variance for each of the groups. Now all I want to add is a way to loop through X number times and keep the one that has lowest overall variance. This weekend I might try a few more things. But for now below is the new code I spoke of.
If OBJECT_ID('tempdb.dbo.#Orders') IS NOT NULL DROP TABLE #Orders
Select
StoreID
,CustomerID
,Sum(OrderID) as Orders
,Sum(OrderAmount) as AmountSold
,Rand() as Random
Into #Orders
From CustomerOrders
Group by StoreID,CustomerID
IF OBJECT_ID('tempdb.dbo.#OrderRanking') IS NOT NULL DROP TABLE #OrderRanking
Select
O.*
,ROW_NUMBER() Over(Partition by StoreID Order by Random) as Ranking
Into #OrderRanking
From #Orders as O
If OBJECT_ID('tempdb.dbo.#Split') IS NOT NULL DROP TABLE #Split
Select
R.StoreID
,Count(CustomerID) as CustomerCount
,Sum(R.Orders) as Orders
,Sum(R.AmountSold) as Amountsold
,Case When Ranking%2 = 0 Then 'A' Else 'B' End as 'Grouping'
Into #Split
From #OrderRanking as R
Group by
R.StoreID
,Case When Ranking%2 = 0 Then 'A' Else 'B' End
Select
S.StoreID
,((Cast(Max(Case When S.[Grouping] = 'A' Then S.CustomerCount Else 0 End) as decimal(18,2))-Cast(Max(Case When S.[Grouping] = 'B' Then S.CustomerCount Else 0 End) as decimal(18,2)))
/ Cast(Max(Case When S.[Grouping] = 'B' Then S.CustomerCount Else 0 End) as decimal(18,2)))*100 as CustomerCountVar
,((Cast(Max(Case When S.[Grouping] = 'A' Then S.Orders Else 0 End) as decimal(18,2))-Cast(Max(Case When S.[Grouping] = 'B' Then S.Orders Else 0 End) as decimal(18,2)))
/ Cast(Max(Case When S.[Grouping] = 'B' Then S.Orders Else 0 End) as decimal(18,2)))*100 as OrderVar
,((Cast(Max(Case When S.[Grouping] = 'A' Then S.Amountsold Else 0 End) as decimal(18,2))-Cast(Max(Case When S.[Grouping] = 'B' Then S.Amountsold Else 0 End) as decimal(18,2)))
/ Cast(Max(Case When S.[Grouping] = 'B' Then S.Amountsold Else 0 End) as decimal(18,2)))*100 as AmountsoldVar
From #Split as S
Group by S.StoreID
So it is truly impossible to always get within 1% as we all expected but like I said we were ok with trying to get as close as possible after X number of tries. I have figured out how to make this happen. Below is the code I used currently set at 10 tries but can be changed to whatever number works for the business.
If OBJECT_ID('tempdb.dbo.#TestB') IS NOT NULL DROP TABLE #TestB
Create Table #TestB
(
StoreID int
,CustomerID VarChar(11)
,Orders int
,AmountSold Float
,Random Float
,Ranking bigint
,CombinedVar Decimal(18,2)
)
If OBJECT_ID('tempdb.dbo.#BestPrep') IS NOT NULL DROP TABLE #BestPrep
Create Table #BestPrep
(
StoreID int
,CustomerID VarChar(11)
,Orders int
,AmountSold Float
,Random Float
,Ranking bigint
,CombinedVar Decimal(18,2)
)
Declare #Giveup int
Set #GiveUp = 10
WHILE #GiveUp > 0
BEGIN
If OBJECT_ID('tempdb.dbo.#Orders') IS NOT NULL DROP TABLE #Orders
Select
StoreID
,CustomerID
,Sum(OrderID) as Orders
,Sum(OrderAmount) as AmountSold
,Rand() as Random
Into #Orders
From CustomerOrders
Group by StoreID,CustomerID
IF OBJECT_ID('tempdb.dbo.#OrderRanking') IS NOT NULL DROP TABLE #OrderRanking
Select
O.*
,ROW_NUMBER() Over(Partition by StoreID Order by Random) as Ranking
Into #OrderRanking
From #Orders as O
If OBJECT_ID('tempdb.dbo.#Split') IS NOT NULL DROP TABLE #Split
Select
R.StoreID
,Count(CustomerID) as CustomerCount
,Sum(R.Orders) as Orders
,Sum(R.AmountSold) as Amountsold
,Case When Ranking%2 = 0 Then 'A' Else 'B' End as 'Grouping'
Into #Split
From #OrderRanking as R
Group by
R.StoreID
,Case When Ranking%2 = 0 Then 'A' Else 'B' End
If OBJECT_ID('Tempdb.dbo.#Var') IS NOT NULL DROP TABLE #Var
Select
S.StoreID
,ABS(((Cast(Max(Case When S.[Grouping] = 'A' Then S.CustomerCount Else 0 End) as decimal(18,2))-Cast(Max(Case When S.[Grouping] = 'B' Then S.CustomerCount Else 0 End) as decimal(18,2)))
/ Cast(Max(Case When S.[Grouping] = 'B' Then S.CustomerCount Else 0 End) as decimal(18,2)))*100) as CustomerCountVar
,ABS(((Cast(Max(Case When S.[Grouping] = 'A' Then S.Orders Else 0 End) as decimal(18,2))-Cast(Max(Case When S.[Grouping] = 'B' Then S.Orders Else 0 End) as decimal(18,2)))
/ Cast(Max(Case When S.[Grouping] = 'B' Then S.Orders Else 0 End) as decimal(18,2)))*100) as OrderVar
,ABS(((Cast(Max(Case When S.[Grouping] = 'A' Then S.Amountsold Else 0 End) as decimal(18,2))-Cast(Max(Case When S.[Grouping] = 'B' Then S.Amountsold Else 0 End) as decimal(18,2)))
/ Cast(Max(Case When S.[Grouping] = 'B' Then S.Amountsold Else 0 End) as decimal(18,2)))*100) as AmountsoldVar
,ABS(((Cast(Max(Case When S.[Grouping] = 'A' Then S.Orders Else 0 End) as decimal(18,2))-Cast(Max(Case When S.[Grouping] = 'B' Then S.Orders Else 0 End) as decimal(18,2)))
/ Cast(Max(Case When S.[Grouping] = 'B' Then S.Orders Else 0 End) as decimal(18,2)))*100)
+
ABS(((Cast(Max(Case When S.[Grouping] = 'A' Then S.Amountsold Else 0 End) as decimal(18,2))-Cast(Max(Case When S.[Grouping] = 'B' Then S.Amountsold Else 0 End) as decimal(18,2)))
/ Cast(Max(Case When S.[Grouping] = 'B' Then S.Amountsold Else 0 End) as decimal(18,2)))*100) as CombinedVar
INTO #Var
From #Split as S
Group by S.StoreID
If Exists (Select * From #Var Where (OrderVar < 1 and AmountSoldVar <1) Or CombinedVar < 2)
If Object_ID('tempdb.dbo.#TestA') IS NOT NULL DROP TABLE #TestA
Select
A.StoreID
,A.CustomerID
,A.Orders
,A.AmountSold
,A.Random
,A.Ranking
,V.CombinedVar
Into #TestA
From #OrderRanking as A
Join #var as V
on A.StoreID = V.StoreID
Where A.StoreID in
(Select StoreID From #Var Where (OrderVar < 1 and AmountSoldVar <1) Or CombinedVar < 2)
Insert Into #TestB
Select
A.StoreID
,A.CustomerID
,A.Orders
,A.AmountSold
,A.Random
,A.Ranking
,A.CombinedVar
From #TestA as A
Left Join #TestB as B
on A.CustomerID = B.CustomerID
Where
B.CustomerID is null
Insert Into #BestPrep
Select
A.StoreID
,A.CustomerID
,A.Orders
,A.AmountSold
,A.Random
,A.Ranking
,V.CombinedVar
From #OrderRanking as A
Join #Var as V
on A.StoreID = V.StoreID
Left Join #BestPrep as B
on A.CustomerID = B.CustomerID
and V.CombinedVar > B.CombinedVar
Where
B.CustomerID is null
Set #Giveup = #Giveup-1
END
If Object_ID('tempdb.dbo.#bestPrep2') IS NOT NULL DROP TABLE #bestPrep2
Select
A.StoreID
,Min(CombinedVar) as CombinedVar
Into #BestPrep2
From #BestPrep as A
Group by
A.StoreID
Select A.*
From #BestPrep as A
Join #BestPrep2 as B
on A.StoreID = B.StoreID
and A.CombinedVar = B.CombinedVar
Union
Select * From #TestB
The below SQL query creates a table with n number of columns named in the next line.
...., curr_amount, tax_amount, ....
I am having a very tough time updating the below query to create a new column called total and position it exactly after tax_amount column and the total column should contain the values that are obtained after sum of curr_amount & tax_amount.
I have been working on this from more than one day but couldn't figure it out.
P.S. Still a noob here. Thanks alot for your time.
.
SELECT Isnull(t.total_month, 'Total') total_month,
t.tax_amount,
t.curr_amount,
t.usage_qty,
t.kh_qty,
t.bill_cnt
FROM (SELECT dbo.Sigmadf(bm.posted_date, 'YYYY-MM') total_month,
Sum(CASE
WHEN rr.usage_qty IS NULL THEN 0
ELSE Cast (rr.usage_qty AS NUMERIC(18, 2))
END) usage_qty,
Sum(CASE
WHEN bm.curr_amount IS NULL THEN 0
ELSE bm.curr_amount
END) curr_amount,
Sum(CASE
WHEN bm.adj_amount IS NULL THEN 0
ELSE bm.adj_amount
END) adj_amount,
Sum(CASE
WHEN bm.bal_fwd_amount IS NULL THEN 0
ELSE bm.bal_fwd_amount
END) bal_forward,
Sum(CASE
WHEN bm.tax_amount IS NULL THEN 0
ELSE bm.tax_amount
END) tax_amount,
Sum(CASE
WHEN bm.due_amount IS NULL THEN 0
ELSE bm.due_amount
END) due_amount,
Sum(CASE
WHEN bm.last_total_paid_amount IS NULL THEN 0
ELSE bm.last_total_paid_amount * -1
END) paid_amount,
Sum(CASE
WHEN bm.bill_print = 'Y' THEN 1
ELSE 0
END) pdf_cnt,
Sum(CASE
WHEN Isnull(bm.bill_handling_code, '0') = '0' THEN 1
ELSE 0
END) reg_cnt,
Sum(CASE
WHEN Isnull(bm.bill_handling_code, '0') = '1' THEN 1
ELSE 0
END) ftime_cnt,
Sum(CASE
WHEN Isnull(bm.bill_handling_code, '0') = '9999' THEN 1
ELSE 0
END) ltime_cnt,
Count(*) bill_cnt,
Sum(CASE
WHEN bill_status = '01' THEN 1
ELSE 0
END) canc_cnt,
Sum(CASE
WHEN bill_status = '01' THEN
CASE
WHEN rr.usage_qty IS NULL THEN 0
ELSE Cast (rr.usage_qty AS NUMERIC(18, 2))
END
ELSE 0
END) canc_usg,
Sum(CASE
WHEN vis.kh_qty IS NULL THEN 0
ELSE Cast(vis.kh_qty AS NUMERIC(18, 2))
END) kh_qty
FROM bill_master bm WITH (nolock)
INNER JOIN (SELECT bill_no,
Sum(CASE
WHEN vpb.recurr_charge_type IN ( 'T4',
'SLF' )
THEN
CASE
WHEN vpb.print_qty = 'Y'
AND vpb.usage_qty IS NOT NULL
THEN
Cast (vpb.usage_qty AS
NUMERIC(18, 2))
ELSE 0
END
ELSE 0
END) usage_qty
FROM v_print_bills_all vpb
GROUP BY bill_no) rr
ON rr.bill_no = bm.bill_no
LEFT OUTER JOIN vis_bill_master_cr vis WITH (nolock)
ON bm.bill_no = vis.bill_no
WHERE 1 = 1
AND dbo.Trunc(bm.posted_date) >= '20150101'
AND dbo.Trunc(bm.posted_date) <= '20151124'
AND bm.posted_date IS NOT NULL
AND bm.cust_id NOT IN (SELECT cc.code_type cust_id
FROM code_table cc WITH (nolock)
WHERE cc.code_tabname = 'RptExclCust'
AND cc.code_value = 'cust_id')
GROUP BY dbo.Sigmadf(bm.posted_date, 'YYYY-MM') WITH rollup)t
I must say that the explanation is not so clear.
From my understanding, you want the total of two columns.
So, wrap all your query between parenthesis, call it subQuery, and make the sum of the two columns on top:
SELECT subQuery.total_month as bill_date,
subQuery.curr_amount as amount,
subQuery.tax_amount tax,
subQuery.curr_amount + subQuery.tax_amount as [total],
...
FROM
(..your entire query here..) as subQuery
I'm looking to produce a count of projects based on 3 different conditions (DB2 database). I need to count all projects <= .10, >= .5, and >= 1.00 (percentage_used) but can only group by dim_building_id and building_name. Of course this query will not run because it requires percentage_used to be added to the group by. How do I handle those 3 conditions with percentage_used?
SELECT
SUM(CAST(FTS.GROUP_A AS BIGINT)) AS GROUP_A,
SUM(CAST(FTS.GROUP_B AS BIGINT)) AS GROUP_B,
SUM(CAST(FTS.GROUP_C AS BIGINT)) AS GROUP_C,
CASE WHEN FAT.PERCENTAGE_USED <= '0.10'
THEN COUNT(*)
END AS PROJECTS_L10,
CASE WHEN FAT.PERCENTAGE_USED >= '0.50'
THEN COUNT(*)
END AS PROJECTS_G50,
CASE WHEN FAT.PERCENTAGE_USED >= '1.00'
THEN COUNT(*)
END AS PROJECTS_G100,
DAYS(DATE('2014-07-01')) - DAYS(CURRENT DATE) AS DAYS_LEFT,
(DAYS(DATE('2014-07-01')) - DAYS(CURRENT DATE))/7 AS WEEKS_LEFT,
DAYS(DATE('2013-12-31')) - DAYS(CURRENT DATE) AS DAYS_LEFT_YEAR
FROM FACT_TABLE AS FAT
INNER JOIN GROUPS AS FTS ON FAT.DIM_PROJECT_ID = FTS.DIM_PROJECT_ID
GROUP BY FAT.DIM_BUILDING_ID, FAT.BUILDING_NAME;
I'd do something like this:
select bn.building_name ,
t.*
from ( select fat.building_id ,
sum( case when fat.percentage_used <= 0.10 then 1 else 0 end ) as group_a ,
sum( case when fat.percentage_used > 0.10 and fat.percentage_used < 0.50 then 1 else 0 end ) as group_b ,
sum( case when fat.percentage_used >= 0.50 and fat.percentage_used < 1.00 then 1 else 0 end ) as group_c ,
sum( case when fat.percentage_used >= 1.00 then 1 else 0 end ) as group_d ,
sum( case when fat.percentage_used is null then 1 else 0 end ) as group_e
from fact_table fat
join groups fts on tfs.dim_project_id = fat.dim_project_id
group by fat.building_id
) t
join fact_table bn on bn.building_id = t.building_id
Instead of putting the aggregate as the THEN, wrap the CASE statement in an aggregate:
SELECT
SUM(CAST(FTS.GROUP_A AS BIGINT)) AS GROUP_A,
SUM(CAST(FTS.GROUP_B AS BIGINT)) AS GROUP_B,
SUM(CAST(FTS.GROUP_C AS BIGINT)) AS GROUP_C,
SUM(CASE WHEN FAT.PERCENTAGE_USED <= '0.10' THEN 1 ELSE 0 END) AS PROJECTS_L10,
SUM(CASE WHEN FAT.PERCENTAGE_USED >= '0.50' THEN 1 ELSE 0 END) AS PROJECTS_G50,
SUM(CASE WHEN FAT.PERCENTAGE_USED >= '1.00' THEN 1 ELSE 0 END) AS PROJECTS_G100,
DAYS(DATE('2014-07-01')) - DAYS(CURRENT DATE) AS DAYS_LEFT,
(DAYS(DATE('2014-07-01')) - DAYS(CURRENT DATE))/7 AS WEEKS_LEFT,
DAYS(DATE('2013-12-31')) - DAYS(CURRENT DATE) AS DAYS_LEFT_YEAR
FROM FACT_TABLE AS FAT
INNER JOIN GROUPS AS FTS ON FAT.DIM_PROJECT_ID = FTS.DIM_PROJECT_ID
GROUP BY FAT.DIM_BUILDING_ID, FAT.BUILDING_NAME;
The ELSE 0 isn't needed, but some like to see it in the query.
Alternatively this should work as well:
COUNT(CASE WHEN FAT.PERCENTAGE_USED >= '0.50' THEN 1 END) AS PROJECTS_G50,
I keep getting that error on this code. I am not using EXISTS.Please Help.
Only one expression can be specified in the select list when the subquery is not introduced with EXISTS.
SQL:
If ISDATE(#grpsearch) = 1
SELECT grp.GroupID,
vlanlist.InternetType,
grp.GroupName, cast(grp.StartDateTime as date) as StartDate,
convert(varchar,cast(grp.StartDateTime as time),100) as starttime,
(select case when datepart(hh,convert(datetime,grp.StartDateTime)) > 12 then datepart(hh,convert(datetime,grp.StartDateTime))-12
else case when datepart(hh,convert(datetime,grp.StartDateTime)) = 0 then '12' else datepart(hh,convert(datetime,grp.StartDateTime)) end end as starthour,
datepart(mi,convert(datetime,grp.StartDateTime)) as startmin, case when datepart(hh,convert(datetime,grp.StartDateTime)) >= 12 then 'PM' else 'AM' end as startperiod),
cast(grp.enddatetime as date) as EndDate,
convert(varchar,cast(grp.EndDateTime as time),100) as EndTime,
grp.UserInitials,
grp.UserComments,
roomlist.RoomName,
jacklist.JackNumber
FROM a_Cisco.dbo.grp_internet as grp left outer join
dbo.jacklist as jacklist ON grp.intJack = jacklist.intJack left outer join
dbo.roomlist as roomlist ON grp.intRoom = roomlist.intROom left outer join
dbo.vlanlist as vlanlist ON grp.VlanID = vlanlist.VlanID
WHERE (convert(varchar,cast(grp.StartDateTime as date),100) = #grpsearch)
The problem is this part of the query:
(select case when datepart(hh,convert(datetime,grp.StartDateTime)) > 12
then datepart(hh,convert(datetime,grp.StartDateTime))-12
else case when datepart(hh,convert(datetime,grp.StartDateTime)) = 0
then '12' else datepart(hh,convert(datetime,grp.StartDateTime))
end
end as starthour,
First, you don't need the select at all. Second, you are missing the closing parentheses ()). I would suggest:
(case when datepart(hh,convert(datetime,grp.StartDateTime)) > 12
then datepart(hh,convert(datetime,grp.StartDateTime))-12
else (case when datepart(hh,convert(datetime,grp.StartDateTime)) = 0
then '12'
else datepart(hh,convert(datetime,grp.StartDateTime))
end)
end) as starthour,