I am trying to get the max date by account from 3 different tables and view those dates side by side. I created a separate query for each table, merged the results with UNION ALL, and then wrapped all that in a PIVOT.
The first 2 sections in the link/pic below show what I have been able to accomplish and the 3rd section is what I would like to do.
Query results by step
How can I get the results from 2 of the tables to repeat? Is that possible?
--define var_ent_type = 'ACOM'
--define var_ent_id = '52766'
--define var_dict_id = 113
SELECT
*
FROM
(
SELECT
E.ENTITY_TYPE,
E.ENTITY_ID,
'PERF_SUMMARY' as "TableName",
PS.DICTIONARY_ID,
to_char(MAX(PS.END_EFFECTIVE_DATE), 'YYYY-MM-DD') as "MaxDate"
FROM
RULESDBO.ENTITY E
INNER JOIN PERFORMDBO.PERF_SUMMARY PS ON (PS.ENTITY_ID = E.ENTITY_ID)
WHERE
1=1
-- AND E.ENTITY_TYPE = '&var_ent_type'
-- AND E.ENTITY_ID = '&var_ent_id'
AND PS.DICTIONARY_ID >= 100
AND (E.ACTIVE_STATUS <> 'N' )--and E.TERMINATION_DATE is null )
GROUP BY
E.ENTITY_TYPE,
E.ENTITY_ID,
'PERF_SUMMARY',
PS.DICTIONARY_ID
union all
SELECT
E.ENTITY_TYPE,
E.ENTITY_ID,
'POSITION' as "TableName",
0 as DICTIONARY_ID,
to_char(MAX(H.EFFECTIVE_DATE), 'YYYY-MM-DD') as "MaxDate"
FROM
RULESDBO.ENTITY E
INNER JOIN HOLDINGDBO.POSITION H ON (H.ENTITY_ID = E.ENTITY_ID)
WHERE
1=1
-- AND E.ENTITY_TYPE = '&var_ent_type'
-- AND E.ENTITY_ID = '&var_ent_id'
AND (E.ACTIVE_STATUS <> 'N' )--and E.TERMINATION_DATE is null )
GROUP BY
E.ENTITY_TYPE,
E.ENTITY_ID,
'POSITION',
1
union all
SELECT
E.ENTITY_TYPE,
E.ENTITY_ID,
'CASH_ACTIVITY' as "TableName",
0 as DICTIONARY_ID,
to_char(MAX(C.EFFECTIVE_DATE), 'YYYY-MM-DD') as "MaxDate"
FROM
RULESDBO.ENTITY E
INNER JOIN CASHDBO.CASH_ACTIVITY C ON (C.ENTITY_ID = E.ENTITY_ID)
WHERE
1=1
-- AND E.ENTITY_TYPE = '&var_ent_type'
-- AND E.ENTITY_ID = '&var_ent_id'
AND (E.ACTIVE_STATUS <> 'N' )--and E.TERMINATION_DATE is null )
GROUP BY
E.ENTITY_TYPE,
E.ENTITY_ID,
'CASH_ACTIVITY',
1
--ORDER BY
-- 2,3, 4
)
PIVOT
(
MAX("MaxDate")
FOR "TableName"
IN ('CASH_ACTIVITY', 'PERF_SUMMARY','POSITION')
)
Everything is possible. You only need a window function to make the value repeat across rows w/o data.
--Assuming current query is QC
With QC as (
...
)
select code, account, grouping,
--cash,
first_value(cash) over (partition by code, account order by grouping asc rows unbounded preceding) as cash_repeat,
perf,
--pos,
first_value(pos) over (partition by code, account order by grouping asc rows unbounded preceding) as pos_repeat
from QC
;
See first_value() help here: https://docs.oracle.com/en/database/oracle/oracle-database/19/sqlrf/FIRST_VALUE.html#GUID-D454EC3F-370C-4C64-9B11-33FCB10D95EC
Related
I'm using SQL Server 2000 (80). So, it's not possible to use the LAG function.
I have a code a data set with four columns:
Purchase_Date
Facility_no
Seller_id
Sale_id
I need to identify missing Sale_ids. So every sale_id is a 100% sequential, so the should not be any gaps in order.
This code works for a specific date and store if specified. But i need to work on entire data set looping looping through every facility_id and every seller_id for ever purchase_date
declare #MAXCOUNT int
set #MAXCOUNT =
(
select MAX(Sale_Id)
from #table
where
Facility_no in (124) and
Purchase_date = '2/7/2020'
and Seller_id = 1
)
;WITH TRX_COUNT AS
(
SELECT 1 AS Number
union all
select Number + 1 from TRX_COUNT
where Number < #MAXCOUNT
)
select * from TRX_COUNT
where
Number NOT IN
(
select Sale_Id
from #table
where
Facility_no in (124)
and Purchase_Date = '2/7/2020'
and seller_id = 1
)
order by Number
OPTION (maxrecursion 0)
My Dataset
This column:
case when
Sale_Id=0 or 1=Sale_Id-LAG(Sale_Id) over (partition by Facility_no, Purchase_Date, Seller_id)
then 'OK' else 'Previous Missing' end
will tell you which Seller_Ids have some sale missing. If you want to go a step further and have exactly your desired output, then filter out and distinct the 'Previous Missing' ones, and join with a tally table on not exists.
Edit: OP mentions in comments they can't use LAG(). My suggestion, then, would be:
Make a temp table that that has the max(sale_id) group by facility/seller_id
Then you can get your missing results by this pseudocode query:
Select ...
from temptable t
inner join tally N on t.maxsale <=N.num
where not exists( select ... from sourcetable s where s.facility=t.facility and s.seller=t.seller and s.sale=N.num)
> because the only way to "construct" nonexisting combinations is to construct them all and just remove the existing ones.
This one worked out
; WITH cte_Rn AS (
SELECT *, ROW_NUMBER() OVER(PARTITION BY Facility_no, Purchase_Date, Seller_id ORDER BY Purchase_Date) AS [Rn_Num]
FROM (
SELECT
Facility_no,
Purchase_Date,
Seller_id,
Sale_id
FROM MyTable WITH (NOLOCK)
) a
)
, cte_Rn_0 as (
SELECT
Facility_no,
Purchase_Date,
Seller_id,
Sale_id,
-- [Rn_Num] AS 'Skipped Sale'
-- , case when Sale_id = 0 Then [Rn_Num] - 1 Else [Rn_Num] End AS 'Skipped Sale for 0'
, [Rn_Num] - 1 AS 'Skipped Sale for 0'
FROM cte_Rn a
)
SELECT
Facility_no,
Purchase_Date,
Seller_id,
Sale_id,
-- [Skipped Sale],
[Skipped Sale for 0]
FROM cte_Rn_0 a
WHERE NOT EXISTS
(
select * from cte_Rn_0 b
where b.Sale_id = a.[Skipped Sale for 0]
and a.Facility_no = b.Facility_no
and a.Purchase_Date = b.Purchase_Date
and a.Seller_id = b.Seller_id
)
--ORDER BY Purchase_Date ASC
I have two tables shown below. I want to create a new variable (VALUE) based on the logic below and show results in a 3rd table? How can I do this in T SQL?
TABLE_1
ID, DATE
TABLE_2
ID, DATE1, DATE2
Logic to set VALUE:
FOR ALL TABLE_1.ID
IF TABLE_1.DATE IS BETWEEN TABLE_2.DATE1 AND TABLE_2.DATE2
THEN VALUE = 1
ELSE VALUE = 0
IF TABLE_1.ID NOT IN TABLE_2
THEN VALUE = NULL
If you want to see the results for all rows where table_1.id = table_2.id (and table_1 rows that do not have a match on id), then we can use a left join and a case expression:
select
t.id
, t.date
, IsBetween = case
when t.date between t2.Date1 and t2.Date2
then 1
when t2.id is null
then null
else 0
end
, t2.*
from table_1 as t
left join table_2 as t2
on t.id = t2.id
If you only want one row for each row in table_1, and want to know if table_1.data is between any corresponding row in table_2 or not, then we can use a outer apply to select top 1 and a case expression:
select
t.id
, t.date
, IsBetween = case
when t.date between x.Date1 and x.Date2
then 1
when x.id is null
then null
else 0
end
from table_1 t
outer apply (
select top 1 t2.*
from table_2 t2
order by case
when t.date between t2.Date1 and t2.Date2
then 0
else 1
end
) as x
Below sample query is a part of my main query. I found SORT operator in below query is consuming 30% of the cost.
To avoid SORT, there is need of creation of Indexes. Is there any other way to optimize this code.
SELECT TOP 1 CONVERT( DATE, T_Date) AS T_Date
FROM TableA
WHERE ID = r.ID
AND Status = 3
AND TableA_ID >ISNULL((
SELECT TOP 1 TableA_ID
FROM TableA
WHERE ID = r.ID
AND Status <> 3
ORDER BY T_Date DESC
), 0)
ORDER BY T_Date ASC
Looks like you can use not exists rather than the sorts. I think you'll probably get a better performance boost by use a CTE or derived table instead of the a scalar subquery.
select *
from r ... left outer join
(
select ID, min(t_date) as min_date from TableA t1
where status = 3 and not exists (
select 1 from TableA t2
where t2.ID = t1.ID
and t2.status <> 3 and t2.t_date > t1.t_date
)
group by ID
) as md on md.ID = r.ID ...
or
select *
from r ... left outer join
(
select t1.ID, min(t1.t_date) as min_date
from TableA t1 left outer join TableA t2
on t2.ID = t1.ID and t2.status <> 3
where t1.status = 3 and t1.t_date < t2.t_date
group by t1.ID
having count(t2.ID) = 0
) as md on md.ID = r.ID ...
It also appears that you're relying on an identity column but it's not clear what those values mean. I'm basically ignoring it and using the date column instead.
Try this:
SELECT TOP 1 CONVERT( DATE, T_Date) AS T_Date
FROM TableA a1
LEFT JOIN (
SELECT ID, MAX(TableA_ID) AS MaxAID
FROM TableA
WHERE Status <> 3
GROUP BY ID
) a2 ON a2.ID = a1.ID AND a1.TableA_ID > coalesce(a2.MAXAID,0)
WHERE a1.ID = r.ID AND a1.Status = 3
ORDER BY T_Date ASC
The use of TOP 1 in combination with the unexplained r alias concern me. There's almost certainly a MUCH better way to get this data into your results that doesn't involve doing this in a sub query (unless this is for an APPLY operation).
I've created a TSQL query that pulls from two sets of tables in my database. The tables in the Common Table Expression are different from the tables in the main query. I'm joining on MRN and need the end result to contain accounts from both sets of tables. I've written the following query to this end:
with cteHosp as(
select Distinct p.EncounterNumber, p.MRN, p.AdmitAge
from HospitalPatients p
inner join Eligibility e on p.MRN = e.MRN
inner join HospChgDtl c on p.pt_id = c.pt_id
inner join HospitalDiagnoses d on p.pt_id = d.pt_id
where p.AdmitAge >=12
and d.dx_cd in ('G89.4','R52.1','R52.2','Z00.129')
)
Select Distinct a.AccountNo, a.dob, DATEDIFF(yy, a.dob, GETDATE()) as Age
from RHCCPTDetail c
inner join RHCAppointments a on c.ClaimID = a.ClaimID
inner join Eligibility e on c.hl7Id = e.MRN
full outer join cteHosp on e.MRN = cteHosp.MRN
where DATEDIFF(yy, a.dob, getdate()) >= 12
and left(c.PriDiag,7) in ('G89.4','R52.1','R52.2', 'Z00.129')
or (
DATEDIFF(yy, a.dob, getdate()) >= 12
and LEFT(c.DiagCode2,7) in ('G89.4','R52.1','R52.2','Z00.129')
)
or (
DATEDIFF(yy, a.dob, getdate()) >= 12
and LEFT(c.DiagCode3,7) in ('G89.4','R52.1','R52.2','Z00.129')
)
or (
DATEDIFF(yy, a.dob, getdate()) >= 12
and LEFT(c.DiagCode4,7) in ('G89.4','R52.1','R52.2','Z00.129')
)
order by AccountNo
How do I merge together the output of both the common table expression and the main query into one set of results?
Merge performs inserts, updates or deletes. I believe you want to join the cte. If so, here is an example.
Notice the cteBatch is joined to the Main query below.
with
cteBatch (BatchID,BatchDate,Creator,LogID)
as
(
select
BatchID
,dateadd(day,right(BatchID,3) -1,
cast(cast(left(BatchID,4) as varchar(4))
+ '-01-01' as date)) BatchDate
,Creator
,LogID
from tblPriceMatrixBatch b
unpivot
(
LogID
for Logs in (LogIDISI,LogIDTG,LogIDWeb)
)u
)
Select
0 as isCurrent
,i.InterfaceID
,i.InterfaceName
,b.BatchID
,b.BatchDate
,case when isdate(l.start) = 0 and isdate(l.[end]) = 0 then 'Scheduled'
when isdate(l.start) = 1 and isdate(l.[end]) = 0 then 'Running'
when isdate(l.start) = 1 and isdate(l.[end]) = 1 and isnull(l.haserror,0) = 1 then 'Failed'
when isdate(l.start) = 1 and isdate(l.[end]) = 1 and isnull(l.haserror,0) != 1 then 'Success'
else 'idunno' end as stat
,l.Start as StartTime
,l.[end] as CompleteTime
,b.Creator as Usr
from EOCSupport.dbo.Interfaces i
join EOCSupport.dbo.Logs l
on i.InterfaceID = l.InterfaceID
join cteBatch b
on b.logid = l.LogID
I would like to solve this issue avoiding to use cursors (FETCH).
Here comes the problem...
1st Table/quantity
------------------
periodid periodstart periodend quantity
1 2010/10/01 2010/10/15 5
2st Table/sold items
-----------------------
periodid periodstart periodend solditems
14343 2010/10/05 2010/10/06 2
Now I would like to get the following view or just query result
Table Table/stock
-----------------------
periodstart periodend itemsinstock
2010/10/01 2010/10/04 5
2010/10/05 2010/10/06 3
2010/10/07 2010/10/15 5
It seems impossible to solve this problem without using cursors, or without using single dates instead of periods.
I would appreciate any help.
Thanks
DECLARE #t1 TABLE (periodid INT,periodstart DATE,periodend DATE,quantity INT)
DECLARE #t2 TABLE (periodid INT,periodstart DATE,periodend DATE,solditems INT)
INSERT INTO #t1 VALUES(1,'2010-10-01T00:00:00.000','2010-10-15T00:00:00.000',5)
INSERT INTO #t2 VALUES(14343,'2010-10-05T00:00:00.000','2010-10-06T00:00:00.000',2)
DECLARE #D1 DATE
SELECT #D1 = MIN(P) FROM (SELECT MIN(periodstart) P FROM #t1
UNION ALL
SELECT MIN(periodstart) FROM #t2) D
DECLARE #D2 DATE
SELECT #D2 = MAX(P) FROM (SELECT MAX(periodend) P FROM #t1
UNION ALL
SELECT MAX(periodend) FROM #t2) D
;WITH
L0 AS (SELECT 1 AS c UNION ALL SELECT 1),
L1 AS (SELECT 1 AS c FROM L0 A CROSS JOIN L0 B),
L2 AS (SELECT 1 AS c FROM L1 A CROSS JOIN L1 B),
L3 AS (SELECT 1 AS c FROM L2 A CROSS JOIN L2 B),
L4 AS (SELECT 1 AS c FROM L3 A CROSS JOIN L3 B),
Nums AS (SELECT ROW_NUMBER() OVER (ORDER BY (SELECT 0)) AS i FROM L4),
Dates AS(SELECT DATEADD(DAY,i-1,#D1) AS D FROM Nums where i <= 1+DATEDIFF(DAY,#D1,#D2)) ,
Stock As (
SELECT D ,t1.quantity - ISNULL(t2.solditems,0) AS itemsinstock
FROM Dates
LEFT OUTER JOIN #t1 t1 ON t1.periodend >= D and t1.periodstart <= D
LEFT OUTER JOIN #t2 t2 ON t2.periodend >= D and t2.periodstart <= D ),
NStock As (
select D,itemsinstock, ROW_NUMBER() over (order by D) - ROW_NUMBER() over (partition by itemsinstock order by D) AS G
from Stock)
SELECT MIN(D) AS periodstart, MAX(D) AS periodend, itemsinstock
FROM NStock
GROUP BY G, itemsinstock
ORDER BY periodstart
Hopefully a little easier to read than Martin's. I used different tables and sample data, hopefully extrapolating the right info:
CREATE TABLE [dbo].[Quantity](
[PeriodStart] [date] NOT NULL,
[PeriodEnd] [date] NOT NULL,
[Quantity] [int] NOT NULL
) ON [PRIMARY]
CREATE TABLE [dbo].[SoldItems](
[PeriodStart] [date] NOT NULL,
[PeriodEnd] [date] NOT NULL,
[SoldItems] [int] NOT NULL
) ON [PRIMARY]
INSERT INTO Quantity (PeriodStart,PeriodEnd,Quantity)
SELECT '20100101','20100115',5
INSERT INTO SoldItems (PeriodStart,PeriodEnd,SoldItems)
SELECT '20100105','20100107',2 union all
SELECT '20100106','20100108',1
The actual query is now:
;WITH Dates as (
select PeriodStart as DateVal from SoldItems union select PeriodEnd from SoldItems union select PeriodStart from Quantity union select PeriodEnd from Quantity
), Periods as (
select d1.DateVal as StartDate, d2.DateVal as EndDate
from Dates d1 inner join Dates d2 on d1.DateVal < d2.DateVal left join Dates d3 on d1.DateVal < d3.DateVal and d3.DateVal < d2.DateVal where d3.DateVal is null
), QuantitiesSold as (
select StartDate,EndDate,COALESCE(SUM(si.SoldItems),0) as Quantity
from Periods p left join SoldItems si on p.StartDate < si.PeriodEnd and si.PeriodStart < p.EndDate
group by StartDate,EndDate
)
select StartDate,EndDate,q.Quantity - qs.Quantity
from QuantitiesSold qs inner join Quantity q on qs.StartDate < q.PeriodEnd and q.PeriodStart < qs.EndDate
And the result is:
StartDate EndDate (No column name)
2010-01-01 2010-01-05 5
2010-01-05 2010-01-06 3
2010-01-06 2010-01-07 2
2010-01-07 2010-01-08 4
2010-01-08 2010-01-15 5
Explanation: I'm using three Common Table Expressions. The first (Dates) is gathering all of the dates that we're talking about, from the two tables involved. The second (Periods) selects consecutive values from the Dates CTE. And the third (QuantitiesSold) then finds items in the SoldItems table that overlap these periods, and adds their totals together. All that remains in the outer select is to subtract these quantities from the total quantity stored in the Quantity Table
John, what you could do is a WHILE loop. Declare and initialise 2 variables before your loop, one being the start date and the other being end date. Your loop would then look like this:
WHILE(#StartEnd <= #EndDate)
BEGIN
--processing goes here
SET #StartEnd = #StartEnd + 1
END
You would need to store your period definitions in another table, so you could retrieve those and output rows when required to a temporary table.
Let me know if you need any more detailed examples, or if I've got the wrong end of the stick!
Damien,
I am trying to fully understand your solution and test it on a large scale of data, but I receive following errors for your code.
Msg 102, Level 15, State 1, Line 20
Incorrect syntax near 'Dates'.
Msg 102, Level 15, State 1, Line 22
Incorrect syntax near ','.
Msg 102, Level 15, State 1, Line 25
Incorrect syntax near ','.
Damien,
Based on your solution I also wanted to get a neat display for StockItems without overlapping dates. How about this solution?
CREATE TABLE [dbo].[SoldItems](
[PeriodStart] [datetime] NOT NULL,
[PeriodEnd] [datetime] NOT NULL,
[SoldItems] [int] NOT NULL
) ON [PRIMARY]
INSERT INTO SoldItems (PeriodStart,PeriodEnd,SoldItems)
SELECT '20100105','20100106',2 union all
SELECT '20100105','20100108',3 union all
SELECT '20100115','20100116',1 union all
SELECT '20100101','20100120',10
;WITH Dates as (
select PeriodStart as DateVal from SoldItems
union
select PeriodEnd from SoldItems
union
select PeriodStart from Quantity
union
select PeriodEnd from Quantity
), Periods as (
select d1.DateVal as StartDate, d2.DateVal as EndDate
from Dates d1
inner join Dates d2 on d1.DateVal < d2.DateVal
left join Dates d3 on d1.DateVal < d3.DateVal and
d3.DateVal < d2.DateVal where d3.DateVal is null
), QuantitiesSold as (
select StartDate,EndDate,SUM(si.SoldItems) as Quantity
from Periods p left join SoldItems si on p.StartDate < si.PeriodEnd and si.PeriodStart < p.EndDate
group by StartDate,EndDate
)
select StartDate,EndDate, qs.Quantity
from QuantitiesSold qs
where qs.quantity is not null