Creating Daily In-Use table w/ Zeros When NULL - sql

Hello Stack Community,
I am not sure if I titled this accurately, but I am attempting to create a table that tracks the daily in-use quantity by product code. Currently my code drops dates where a product isn't in-use whereas I need that to show as a 0.
My thoughts where that by using the date from the date table that my LEFT OUTER JOIN with the ISNULL on the field would produce a 0, but nay.
Here is my code, with a screenshot of what it outputs with the red square highlighting where it's missing date records that I need to show as 0 :
SELECT
DD.DATE,
DE.PRODUCT_CODE,
--OOC = OUT OF CONTEXT, EITHER ISN'T CHARGEABLE OR ISN'T CURRENTLY ACTIVE
ISNULL(SUM(LIDV.QTY - LIDV.QTYSUB),0),
OD.LOCATION,
OD.SOURCE
FROM Dim_Date AS DD
LEFT OUTER JOIN ORDERv_DatesDays AS OD ON DD.DATE BETWEEN OD.SHIP_DATE AND OD.adjRETURN_DATE
LEFT OUTER JOIN FACT_Orders_LIDs AS LIDV ON LIDV.SORDERID_DAX = OD.SORDERID_DAX
LEFT OUTER JOIN DIM_ECODES AS DE ON DE.PRODUCT_CODE = LIDV.eCODE
WHERE
--DD.DATE = '3/1/2017' AND
DD.DATE BETWEEN '1/1/2017' AND EOMONTH( DATEADD( MONTH , -1, CURRENT_TIMESTAMP ) ) AND
DE.PRODUCT_CODE = '07316-' AND
YEAR(DD.DATE) = 2017
GROUP BY
DD.DATE,
DE.PRODUCT_CODE,
OD.LOCATION,
OD.SOURCE
ORDER BY
DD.DATE
I also thought, since I'm no SQL expert, that perhaps I need to just create a table with each product code and date for a specified date range but I got tripped up trying to create that as well.
Thank you for any assistance, if I need to add more info just let me know what I'm missing.

This WHERE predicate is killing your left join:
DE.PRODUCT_CODE = '07316-' AND
If product_code 07316 was not "out on loan" (or whatever) between Feb 24 and April 6 then all those rows would have looked like:
DATE PRODUCT_CODE INUSE LOCATION
2017-02-25 NULL NULL NULL
2017-02-26 NULL NULL NULL
2017-02-27 NULL NULL NULL
2017-02-28 NULL NULL NULL
...
2017-04-05 NULL NULL NULL
But, that NULL in product_code means that when the where clause asks "is NULL equal to 07316- ?" the answer is false, so the row diasppears from the resultset
Consider
LEFT OUTER JOIN DIM_ECODES AS DE
ON
DE.PRODUCT_CODE = LIDV.eCODE AND
DE.PRODUCT_CODE = '07316-'
You might also want to make some changes in the SELECT block too:
'07316-' as PRODUCT_CODE,
COALESCE(INUSE,0) AS INUSE
It might make more sense to you to write it like this:
FROM
Dim_Date AS DD
LEFT OUTER JOIN
(
SELECT
OD.SHIP_DATE,
OD.adjRETURN_DATE,
LIDV.QTY,
LIDV.QTYSUB,
OD.LOCATION,
OD.SOURCE
FROM
ORDERv_DatesDays AS OD
INNER JOIN FACT_Orders_LIDs AS LIDV ON LIDV.SORDERID_DAX = OD.SORDERID_DAX
INNER JOIN DIM_ECODES AS DE ON DE.PRODUCT_CODE = LIDV.eCODE
WHERE
DE.PRODUCT_CODE = '07316-'
) x
ON DD.DATE BETWEEN x.SHIP_DATE AND x.adjRETURN_DATE
WHERE
This is "list of dates on the left" and "any relevant data, already joined together and where'd on the right"
It should also be noted that if you're doing this for multiple product codes, to prevent just a single date row if both product 07316 and 07317 are in use on the 28th Feb you'd need to:
FROM
(
SELECT DISTINCT DD.DATE, DE.PRODUCT_CODE
FROM Dim_Date AS DD CROSS JOIN DIM_ECODES DE
WHERE ..date range clause..
)
This takes your list of dates, and crosses it with your list of prod codes, so you can be certain there are at least these two rows:
2017-02-28 07316-
2017-02-28 07317-
Then when you left join the products on date and product code, both those rows' data survive the left join, and become associated with nulls:
2017-02-28 07316- NULL NULL
2017-02-28 07317- NULL NULL
Without doing that CROSS, you'd have just one row (null in product code)

Related

How to Grab Specific Row info?

The below is an example of what will output when you run the query open: select A.DispatchNote, A.MStockCode, A.NComment
from MdnMaster
MdnMaster.DispatchNote
MdnMaster.MStockCode
MdnMaster.NComment
12345/001
CAL2-01234-010-50L
12345/001
FREIGHT
12345/001
1 Parcel
12345/001
Trk# 1Z8R9V80013141323 - 5 lb
12345/001
Trk#: 1Z8R9V900381868191 -- 18 lb
12345/001
SHP 21401
12345/002
CAL3-0121-020-50L
12345/002
FREIGHT
12345/002
2 Parcels
12345/002
Trk# 1Z8R9V80013141323 - 5 lb
12345/002
Trk#: 1Z8R9V900381868191 -- 18 lb
12345/002
SHP 2140
I'm trying to do a query that'll grab just the first tracking number in the list. and ignore the second (or sometimes third they have)
The database has blank NComment lines when there's an MStockCode, and then the MStockCode lines are blank for every NComment line so I don't know what I'm doing.
What I have so far:
SELECT
m.DispatchNote,
MAX(d.MStockCode) as StockCode,
MAX(case when d.NComment like 'Trk%' then d.NComment end) as NComment,
MAX(m.CustomerPoNumber) as CustomerPO
FROM MdnMaster AS m
LEFT OUTER JOIN MdnDetail AS d on m.DispatchNote = d.DispatchNote
AND (d.NComment LIKE 'Trk%' OR d.MStockCode is not null)
and m.Customer = 'LAWSON'
and d.MLineShipDate =
case
when datepart(weekday, getdate() -1) = '7'
then DATEADD(hh,0,dateadd(DAY, datediff(day, 0, getdate()),-2)) -- if yesterday was Saturday, set to Friday
when datepart(weekday, getdate() -1) = '1'
then DATEADD(hh,0,dateadd(DAY, datediff(day, 0, getdate()),-3)) -- if yesterday was Sunday, set to Friday
else DATEADD(hh,0,dateadd(DAY, datediff(day, 0, getdate()),-1))
end
GROUP BY m.DispatchNote
My issue is that it gives me nothing since I only know how to ask it explicitly that I want the lines that aren't blank. How do I fix it?
EDIT: I should mention that all of the information comes from the MdnMaster Table (which is A) and MLineShipDate will come from B (MdnDetail). I omitted that information because I didn't think it was pertinent to the question at hand.
An example of what I want to see FROM above:
MdnMaster.DispatchNote
MdnMaster.MStockCode
MdnMaster.NComment
12345/001
CAL2-01234-010-50L
Trk# 1Z8R9V80013141323 - 5 lb
Here's a quick way to get some results. Hopefully, it will set you on the right path.
I'm assuming you can specify a second column to determine the order of the comments. Replace all instances of Line below with the actual column name.
Select
m1.DispatchNote,
m3.MStockCode,
m1.NComment
From
MdnMaster m1
Inner Join (
Select DispatchNote, Min(Line) as Line
From MdnMaster
Where NComment like 'Trk%'
Group by DispatchNote ) m2
on m1.DispatchNote = m2.DispatchNote and m1.Line = m2.Line
Inner Join (
Select DispatchNote, Max(MStockCode) as MStockCode
From MdnMaster
Group by DispatchNote ) m3
on m1.DispatchNote = m3.DispatchNote
One approach use a cross apply together with select top 1 to retrieve the tracking number.
select M.DispatchNote, M.MStockCode, TRK.NComment
from MdnMaster M
cross apply (
select top 1 M2.NComment
from MdnMaster M2
where M2.DispatchNote = M.DispatchNote
and M2.NComment LIKE 'Trk# %'
-- order by ?
) TRK
where M.MStockCode <> ''
Another approach is to join to a subselect that selects all tracking numbers and assigns row numbers withing each group. The final select would limit itself to those tracking numbers where row number = 1.
select M.DispatchNote, M.MStockCode, TRK.NComment
from MdnMaster M
join (
select M2.DispatchNote, M2.NComment,
row_number() OVER(PARTITION BY M2.DispatchNote order by (select null)) as RN
from MdnMaster M2
where M2.NComment LIKE 'Trk# %'
) TRK ON TRK.DispatchNote = M.DispatchNote
where M.MStockCode <> ''
and TRK.RN = 1
See this db<>fiddle for examples of both.
If there is a chance that there is no tracking number, but you still want to include the other results, change cross apply to outer apply in the first query, or the join to a left join in the second. A cross apply is like an inner join to a subselect, while an outer apply is like a left join.
If you have criteria that prefers one tracking number over another, include it in the order by clause of the subselect in the first query, or replace the order by (select null) placeholder clause in the second. Otherwise, an arbitrary tracking number will be selected.

daily incremental results on table where transaction date <= #Date parameter

specifically looking for General Leger results. This means that I can't sum up transactions for specfic dates, or cant run Between date.
to get the results for say, today I would need to query the table for all transactions <= #Today.
That said, i am tasked with running this for every single day in 2020 thus far. is there a method to do this where i dont have to manually run for each day myself?
Query example:
glo.GLValue
, Sum(UnitCR) AS 'Credit'
, Sum(UnitDR) AS 'Debit'
, sum(FirmCR) AS 'FirmCredit'
, sum(FirmDR) AS 'FirmDebit'
FROM glacct ga
inner join gldetail gd on gd.glacct = ga.AcctIndex
inner join glnatural gn on ga.glnatural = gn.GLNaturalID
inner join glunit glu on ga.glunit = glu.GLUnitID
inner join gloffice glo on ga.GLOffice = glo.GLOfficeID
WHERE gn.GLNat IN ('11001','11002','11003','11005','11007','11011','11016','11019','11020','11021','11022','11024','11025','11026','11027','11032','11033',
'11034','11035','11036','11037','11040','11041','11042','11043','11044','11050','11051','11052','11053','11190','11199','11201','11202','11203','11204',
'11205','11206','11207','11301','11603','11700','11705','11801','11802','11803','11804','11806','11807','11808','11809','11901')--,'22001')
AND gd.PostDate <= #Yesterday
GROUP BY
glo.GLValue
Create a sub-table that give the sums for each PostDate and GLValue similar to above but also grouped on PostDate, then join that to your select above, e.g.
inner join gloffice glo on ga.GLOffice = glo.GLOfficeID
inner join ( ... new grouped select here ...) gs on gs.GLValue = glo.GlValue and gs.PostDate < gd.PostDate
Now you should be able to sum the gs values:
, Sum(gs.Credit) as Credit
, Sum(gs.Debit) as Debit
etc.

Advanced SQL: Sum of sales between a date range

I'm trying to get the sum of sales for a specific product between a date range. Unfortunately, the sum of sales from the results for both dates are the same. By right the total sales on 2019/01/01 is 5000 and the total sales on following day 2019/01/02 is 3000. The results showed total sales which is 8000 for both days. Which is wrong. Any expert can help to improve is this query?
Declare #BusinessDate datetime ='2019-01-01'
Declare #end datetime ='2019-01-02'
DECLARE #StoreId int = 100
SELECT [Terminals].[Id] AS [TerminalId],
[Terminals].[StoreId],
[EOD].[Id] AS [EODId],
SUM([Sales].[SalesAmount]) AS [SalesAmount],
[EOD].BusinessDate
FROM [CEPP]..[Stores] WITH (NOLOCK)
INNER JOIN [CEPP]..[Terminals] WITH (NOLOCK)
ON [Stores].[Id] = [Terminals].[StoreId]
AND [Terminals].[MWorkFlowStatusId] = 2
AND ([Terminals].[MStatusId] = 1
OR ([Terminals].[MStatusId] = 0
AND [Terminals].[SuspendedDate] > #BusinessDate ))
LEFT JOIN [EndOfDays] AS [EOD] WITH (NOLOCK)
ON [Terminals].[Id] = [EOD].[TerminalId]
AND [EOD].[BusinessDate] >= #BusinessDate and [EOD].[BusinessDate]<=#end
CROSS APPLY (
SELECT SUM([Products].[Deno]) AS [SalesAmount]
FROM [SalesOrders] AS [SO] WITH (NOLOCK)
INNER JOIN [SalesTransactions] AS [ST] WITH (NOLOCK)
ON [SO].[Id] = [ST].[SalesOrderId]
LEFT JOIN [VoidOrders] AS [VO] WITH (NOLOCK)
INNER JOIN [VoidTransactions] AS [VT] WITH (NOLOCK)
ON [VO].[Id] = [VT].[VoidOrderId]
ON [SO].[DealerId] = [VO].[DealerId]
AND [SO].[StoreId] = [VO].[StoreId]
AND [SO].[TerminalId] = [VO].[TerminalId]
AND [ST].[ProductId] = [VT].[ProductId]
AND [ST].[SerialNo] = [VT].[SerialNo]
AND [ST].[BusinessDate] = [VT].[BusinessDate]
AND [VT].[MVoidTypeId] = 1
INNER JOIN [CEPP].[dbo].[Products] WITH (NOLOCK)
ON [ST].[ProductId] = [Products].[Id]
WHERE [EOD].[Id] IS NOT NULL
AND [VT].[SerialNo] IS NULL
AND [SO].[TerminalId] = [Terminals].[Id]
AND [ST].[BusinessDate] >= #BusinessDate and [ST].[BusinessDate] <= #end
) AS [Sales]
WHERE [Stores].[DealerId] = 1 AND (#StoreId IS NULL OR [Terminals].[StoreId] = #StoreId)
GROUP BY [Terminals].[Id], [Terminals].[StoreId], [EOD].[Id], [Stores].[Code], [Terminals].[Code],[EOD].BusinessDate
ORDER BY ISNULL([EOD].[Id], 0), [Stores].[Code], [Terminals].[Code]
The unexpected results I got is :
TerminalId StoreId EODId SalesAmount BusinessDate
21598 100 5427531 8000.00 2019-01-01 00:00:00.000
21598 100 5427532 8000.00 2019-01-02 00:00:00.000
The results should be like this:
TerminalId StoreId EODId SalesAmount BusinessDate
21598 100 5427531 5000.00 2019-01-01 00:00:00.000
21598 100 5427532 3000.00 2019-01-02 00:00:00.000
From what I can see at a glance and without test data, is that the SUM([Products].[Deno]) is being performed in the CROSS APPLY irrespective of any GROUP BY you have in the outer query. Hence why you're getting SUM([Sales].[SalesAmount]) to equal 8000 for each output row.
Refactor the CROSS APPLY subquery to aggregate SUM([Products].[Deno]) with respect to a GROUP BY and join back to the main table by the GROUP BY predicates to your outer query.
AND [EOD].[BusinessDate] >= #BusinessDate and [EOD].[BusinessDate]<=#end
This part looks very suspicious to me. I think it should be something like
[EOD].[BusinessDate] = [Sales].[Date]
If that does not resolve your problem, please provide us with scripts for creation of tables and test data. That way it's much easier to investigate query.

LEFT OUTER JOIN with IS NULL

I have a at LEFT OUTER JOIN chain which only works for 90% of the cases.
The Tables
days:
id, date_value
1, 2017-01-01
2, 2017-01-02
3, 2017-01-03
periods:
id, starts_on, ends_on, name, federal_state_id, country_id
1, 2017-01-01, 2017-01-01, Test1, 1, NULL
2, 2017-01-03, 2017-01-03, Test2, 2, NULL
slots:
id, days_id, periods_id
1, 1, 1
2, 3, 2
The SQL-Query
SELECT days.date_value, periods.name, periods.federal_state_id
FROM days
LEFT OUTER JOIN slots ON (days.id = slots.day_id)
LEFT OUTER JOIN periods ON (slots.period_id = periods.id)
WHERE days.date_value >= '2017-01-01' AND
days.date_value <='2017-01-03' AND
(periods.id IS NULL OR periods.country_id = 1 OR
periods.federal_state_id = 1)
ORDER BY days.date_value;
The Result
2017-01-01, Test1, 1
2017-01-02, NULL, NULL
But I'd like to get this result:
2017-01-01, Test1, 1
2017-01-02, NULL, NULL
2017-01-03, NULL, NULL
As fare as I understand it the periods.id IS NULL doesn't match for the last entry because there is period #2 with a federal_state_id of 2.
How do I have to change the SQL-Query to get the result I want?
If you move the condition on the periods entries to the join condition, they will not be part of the set that is joined with the slots, producing the desired NULL for name and federal_state_id. So the set that will be joined will only contain:
periods:
id, starts_on, ends_on, name, federal_state_id, country_id
1, 2017-01-01, 2017-01-01, Test1, 1, NULL
As such, every entry of date can be returned (except for the condition on the range). The query would then look like this:
SELECT
days.date_value,
periods.name,
periods.federal_state_id
FROM days
LEFT OUTER JOIN slots
ON (days.id = slots.day_id)
LEFT OUTER JOIN periods
ON (slots.period_id = periods.id) AND
((periods.country_id = 1 OR
periods.federal_state_id = 1))
WHERE
days.date_value >= '2017-01-01' AND
days.date_value <='2017-01-03'
ORDER BY
days.date_value;
Please notice that the condition periods.id IS NULL is not needed any more as the set the conditions are applied to consist of only slots and periods where every period entry will have a value for id as it is the primary key. And as slots and periods are joined by a left join slots, having no match in the periods table are not removed.
In your original query you first joined all the entries of period (if the id matched) and then removed all the entries that didn't have the desired country_id or federal_state_id. This removed the dates that did have a match in period but did not meet the condition.
I always recomend formating SQL statements. Errors are easier to find.
Move the conditions to the joins like:
SELECT days.date_value
,periods.name
,periods.federal_state_id
FROM dbo.days
LEFT OUTER JOIN dbo.slots
ON days.id = slots.days_id
LEFT OUTER JOIN dbo.periods
ON slots.periods_id = periods.id
AND (
periods.country_id = 1
OR periods.federal_state_id = 1
)
WHERE days.date_value >= '2017-01-01'
AND days.date_value <='2017-01-03'
ORDER BY days.date_value
;

Compare values from one table with the results from a query?

First, I will explain the what is being captured. User's have a member level associated with their accounts (Bronze, Gold, Diamond, etc). A nightly job needs to run to calculate the orders from today a year back. If the order total for a given user goes over or under a certain amount their level is upgraded or downgraded. The table where the level information is stored will not change much, but the minimum and maximum amount thresholds may over time. This is what the table looks like:
CREATE TABLE [dbo].[MemberAdvantageLevels] (
[Id] int NOT NULL IDENTITY(1,1) ,
[Name] varchar(255) COLLATE SQL_Latin1_General_CP1_CI_AS NOT NULL ,
[MinAmount] int NOT NULL ,
[MaxAmount] int NOT NULL ,
CONSTRAINT [PK__MemberAd__3214EC070D9DF1C7] PRIMARY KEY ([Id])
)
ON [PRIMARY]
GO
I wrote a query that will group the orders by user for the year to date. The query includes their current member level.
SELECT
Sum(dbo.tbh_Orders.SubTotal) AS OrderTotals,
Count(dbo.UserProfile.UserId) AS UserOrders,
dbo.UserProfile.UserId,
dbo.UserProfile.UserName,
dbo.UserProfile.Email,
dbo.MemberAdvantageLevels.Name,
dbo.MemberAdvantageLevels.MinAmount,
dbo.MemberAdvantageLevels.MaxAmount,
dbo.UserMemberAdvantageLevels.LevelAchievmentDate,
dbo.UserMemberAdvantageLevels.LevelAchiementAmount,
dbo.UserMemberAdvantageLevels.IsCurrent as IsCurrentLevel,
dbo.MemberAdvantageLevels.Id as MemberLevelId,
FROM
dbo.tbh_Orders
INNER JOIN dbo.tbh_OrderStatuses ON dbo.tbh_Orders.StatusID = dbo.tbh_OrderStatuses.OrderStatusID
INNER JOIN dbo.UserProfile ON dbo.tbh_Orders.CustomerID = dbo.UserProfile.UserId
INNER JOIN dbo.UserMemberAdvantageLevels ON dbo.UserProfile.UserId = dbo.UserMemberAdvantageLevels.UserId
INNER JOIN dbo.MemberAdvantageLevels ON dbo.UserMemberAdvantageLevels.MemberAdvantageLevelId = dbo.MemberAdvantageLevels.Id
WHERE
dbo.tbh_OrderStatuses.OrderStatusID = 4 AND
(dbo.tbh_Orders.AddedDate BETWEEN dateadd(year,-1,getdate()) AND GETDATE()) and IsCurrent = 1
GROUP BY
dbo.UserProfile.UserId,
dbo.UserProfile.UserName,
dbo.UserProfile.Email,
dbo.MemberAdvantageLevels.Name,
dbo.MemberAdvantageLevels.MinAmount,
dbo.MemberAdvantageLevels.MaxAmount,
dbo.UserMemberAdvantageLevels.LevelAchievmentDate,
dbo.UserMemberAdvantageLevels.LevelAchiementAmount,
dbo.UserMemberAdvantageLevels.IsCurrent,
dbo.MemberAdvantageLevels.Id
So, I need to check the OrdersTotal and if it exceeds the current level threshold, I then need to find the Level that fits their current order total and create a new record with their new level.
So for example, lets say jon#doe.com currently is at bronze. The MinAmount for bronze is 0 and the MaxAmount is 999. Currently his Orders for the year are at $2500. I need to find the level that $2500 fits within and upgrade his account. I also need to check their LevelAchievmentDate and if it is outside of the current year we may need to demote the user if there has been no activity.
I was thinking I could create a temp table that holds the results of all levels and then somehow create a CASE statement in the query above to determine the new level. I don't know if that is possible. Or, is it better to iterate over my order results and perform additional queries? If I use the iteration pattern I know i can use the When statement to iterate over the rows.
Update
I updated my Query A bit and so far came up with this, but I may need more information than just the ID from the SubQuery
Select * into #memLevels from MemberAdvantageLevels
SELECT
Sum(dbo.tbh_Orders.SubTotal) AS OrderTotals,
Count(dbo.AZProfile.UserId) AS UserOrders,
dbo.AZProfile.UserId,
dbo.AZProfile.UserName,
dbo.AZProfile.Email,
dbo.MemberAdvantageLevels.Name,
dbo.MemberAdvantageLevels.MinAmount,
dbo.MemberAdvantageLevels.MaxAmount,
dbo.UserMemberAdvantageLevels.LevelAchievmentDate,
dbo.UserMemberAdvantageLevels.LevelAchiementAmount,
dbo.UserMemberAdvantageLevels.IsCurrent as IsCurrentLevel,
dbo.MemberAdvantageLevels.Id as MemberLevelId,
(Select Id from #memLevels where Sum(dbo.tbh_Orders.SubTotal) >= #memLevels.MinAmount and Sum(dbo.tbh_Orders.SubTotal) <= #memLevels.MaxAmount) as NewLevelId
FROM
dbo.tbh_Orders
INNER JOIN dbo.tbh_OrderStatuses ON dbo.tbh_Orders.StatusID = dbo.tbh_OrderStatuses.OrderStatusID
INNER JOIN dbo.AZProfile ON dbo.tbh_Orders.CustomerID = dbo.AZProfile.UserId
INNER JOIN dbo.UserMemberAdvantageLevels ON dbo.AZProfile.UserId = dbo.UserMemberAdvantageLevels.UserId
INNER JOIN dbo.MemberAdvantageLevels ON dbo.UserMemberAdvantageLevels.MemberAdvantageLevelId = dbo.MemberAdvantageLevels.Id
WHERE
dbo.tbh_OrderStatuses.OrderStatusID = 4 AND
(dbo.tbh_Orders.AddedDate BETWEEN dateadd(year,-1,getdate()) AND GETDATE()) and IsCurrent = 1
GROUP BY
dbo.AZProfile.UserId,
dbo.AZProfile.UserName,
dbo.AzProfile.Email,
dbo.MemberAdvantageLevels.Name,
dbo.MemberAdvantageLevels.MinAmount,
dbo.MemberAdvantageLevels.MaxAmount,
dbo.UserMemberAdvantageLevels.LevelAchievmentDate,
dbo.UserMemberAdvantageLevels.LevelAchiementAmount,
dbo.UserMemberAdvantageLevels.IsCurrent,
dbo.MemberAdvantageLevels.Id
This hasn't been syntax checked or tested but should handle the inserts and updates you describe. The insert can be done as single statement using a derived/virtual table which contains the orders group by caluclation. Note that both the insert and update statement be done within the same transaction to ensure no two records for the same user can end up with IsCurrent = 1
INSERT UserMemberAdvantageLevels (UserId, MemberAdvantageLevelId, IsCurrent,
LevelAchiementAmount, LevelAchievmentDate)
SELECT t.UserId, mal.Id, 1, t.OrderTotals, GETDATE()
FROM
(SELECT ulp.UserId, SUM(ord.SubTotal) OrderTotals, COUNT(ulp.UserId) UserOrders
FROM UserLevelProfile ulp
INNER JOIN tbh_Orders ord ON (ord.CustomerId = ulp.UserId)
WHERE ord.StatusID = 4
AND ord.AddedDate BETWEEN DATEADD(year,-1,GETDATE()) AND GETDATE()
GROUP BY ulp.UserId) AS t
INNER JOIN MemberAdvantageLevels mal
ON (t.OrderTotals BETWEEN mal.MinAmount AND mal.MaxAmount)
-- Left join needed on next line in case user doesn't currently have a level
LEFT JOIN UserMemberAdvantageLevels umal ON (umal.UserId = t.UserId)
WHERE umal.MemberAdvantageLevelId IS NULL -- First time user has been awarded a level
OR (mal.Id <> umal.MemberAdvantageLevelId -- Level has changed
AND (t.OrderTotals > umal.LevelAchiementAmount -- Acheivement has increased (promotion)
OR t.UserOrders = 0)) -- No. of orders placed is zero (de-motion)
/* Reset IsCurrent flag where new record has been added */
UPDATE UserMemberAdvantageLevels
SET umal1.IsCurrent=0
FROM UserMemberAdvantageLevels umal1
INNER JOIN UserMemberAdvantageLevels umal2 On (umal2.UserId = umal1.UserId)
WHERE umal1.IsCurrent = 1
AND umal2.IsCurrent = 2
AND umal1.LevelAchievmentDate < umal2.LevelAchievmentDate)
One approach:
with cte as
(SELECT Sum(o.SubTotal) AS OrderTotals,
Count(p.UserId) AS UserOrders,
p.UserId,
p.UserName,
p.Email,
l.Name,
l.MinAmount,
l.MaxAmount,
ul.LevelAchievmentDate,
ul.LevelAchiementAmount,
ul.IsCurrent as IsCurrentLevel,
l.Id as MemberLevelId
FROM dbo.tbh_Orders o
INNER JOIN dbo.UserProfile p ON o.CustomerID = p.UserId
INNER JOIN dbo.UserMemberAdvantageLevels ul ON p.UserId = ul.UserId
INNER JOIN dbo.MemberAdvantageLevels l ON ul.MemberAdvantageLevelId = l.Id
WHERE o.StatusID = 4 AND
o.AddedDate BETWEEN dateadd(year,-1,getdate()) AND GETDATE() and
IsCurrent = 1
GROUP BY
p.UserId, p.UserName, p.Email, l.Name, l.MinAmount, l.MaxAmount,
ul.LevelAchievmentDate, ul.LevelAchiementAmount, ul.IsCurrent, l.Id)
select cte.*, ml.*
from cte
join #memLevels ml
on cte.OrderTotals >= ml.MinAmount and cte.OrderTotals <= ml.MaxAmount