I'm new with SQL and I encountered this.
Here's a screenshot
My question is how can I make all the NULL on primary_payer_id get the value above only if they have same ClientID and ActionCode IS NOT NULL. FYI CustomColumn is only a copy of primary_payer_id ALSO I attached my code here below.
Here's my code:
SELECT ci.client_id AS ClientID,
ci.primary_payer_id,
ci.effective_date AS EffectiveDate,
ci.action_code_id AS ActionCode,
cc.item_description AS ItemDesc,
ap.description AS IDescription,
ci.deleted
FROM census_item ci
LEFT JOIN common_code cc ON ci.adt_tofrom_id = cc.item_id
LEFT JOIN ar_lib_payers ap ON ci.primary_payer_id = ap.payer_id
WHERE ci.deleted = 'N'
There might be a more efficient method, but this will work:
with t as (
<your query here>
)
select t.*,
(case when t.actioncode is not null and t.clientid is null
then tprev.clientid
else t.clientid
end) as new_clientid
from t outer apply
(select top 1 tprev.*
from t tprev
where tprev.clientid = t.clientid and
tprev.effectivedate < t.effectivedate
order by tprev.effecctivedate desc
) tprev;
Related
SELECT
tblEmployeeMaster.TeamName, SUM(tblData.Quantity) AS 'TotalQuantity'
FROM
tblData
INNER JOIN
tblEmployeeMaster ON tblData.EntryByHQCode = tblEmployeeMaster.E_HQCode
INNER JOIN
tblPhotos ON tblEmployeeMaster.TeamNo = tblPhotos.TeamNo
WHERE
IsPSR = 'Y'
GROUP BY
tblPhotos.TeamSort, tblPhotos.TeamNo, tblPhotos.Data,
tblEmployeeMaster.TeamName
ORDER BY
tblPhotos.TeamSort DESC, TotalQuantity DESC
This returns
Using this statement
select TeamName, count(TeamName) AS 'Head Count'
from dbo.tblEmployeeMaster
where IsPSR = 'Y'
group by teamname
Which returns
I would like to combine these 2 queries in 1 to get the below result.
Tried union / union all but no success :(
Any help will be very much helpful.
You can simply use the sub-query as follows:
SELECT tblEmployeeMaster.TeamName, SUM(tblData.Quantity) AS 'TotalQuantity',
MAX(HEAD_COUNT) AS HEAD_COUNT, -- USE THIS VALUE FROM SUB-QUERY
CASE WHEN MAX(HEAD_COUNT) <> 0
THEN SUM(tblData.Quantity)/MAX(HEAD_COUNT)
END AS PER_MAN_CONTRIBUTION -- column asked in comment
FROM tblData INNER JOIN
tblEmployeeMaster ON tblData.EntryByHQCode = tblEmployeeMaster.E_HQCode INNER JOIN
tblPhotos ON tblEmployeeMaster.TeamNo = tblPhotos.TeamNo
-- FOLLOWING SUB-QUERY CAN BE USED
LEFT JOIN (select TeamName, count(TeamName) AS HEAD_COUNT
from dbo.tblEmployeeMaster
where IsPSR = 'Y' group by teamname) AS HC
ON HC.TeamName = tblEmployeeMaster.TeamName
where IsPSR = 'Y'
GROUP BY tblPhotos.TeamSort, tblPhotos.TeamNo, tblPhotos.Data,tblEmployeeMaster.TeamName
order by tblPhotos.TeamSort desc, TotalQuantity desc
I have the below CTEs that work perfectly, but I want to count the "cl.memb_dim_id" by "cl.post_date" but I am not sure how to do that? When adding in the count function I get an error that highlights the ' row number' so I am assuming I cant have both order and group together ????
WITH
DATES AS
(
select to_date('01-jan-2017') as startdate,to_date('02-jan-2017') as enddate
from dual
),
Claims as (select distinct
cl.memb_dim_id,
row_number () over (partition by cl.Claim_number order by cl.post_date desc) as uniquerow,
cl.Claim_number,
cl.post_date,
ct.claim_type,
ap.claim_status_desc,
dc.company_desc,
dff.io_flag_desc,
pr.product_desc,
cl.prov_dim_id,
cl.prov_type_dim_id
from dw.fact_claim cl
inner join dates d
on 1=1
and cl.post_date >= d.startdate
and cl.post_date <= d.enddate
and cl.provider_par_dim_id in ('2')
and cl.processing_status_dim_id = '1'
and cl.company_dim_id in ('581','585','586','589','590','591','588','592','594','601','602','603','606','596','598','597','579','599','578','577','573','574','576','575')
left join dw.DIM_CLAIM_STATUS ap
on cl.claim_status_dim_id = ap.claim_status_dim_id
left join dw.dim_claim_type ct
on cl.claim_type_dim_id = ct.claim_type_dim_id
and cl.claim_type_dim_id in ('1','2','6','7')
left join dw.DIM_COMPANY dc
on cl.company_dim_id = dc.company_dim_id
left join dw.DIM_IO_FLAG dff
on cl.io_flag_dim_id = dff.io_flag_dim_id
left join dw.dim_product pr
on cl.product_dim_id = pr.product_dim_id
)
Select * from claims where uniquerow ='1'
First, does this work?
count(cl.memb_dim_id) over (partition by cl.Claim_number, cl.post_date) as cnt,
Second, it is strange to be using analytic functions with select distinct.
select
store, sum(value)
from
rms.sa_tran_head
where
store_day_seq_no in (select store_day_seq_no
from rms.sa_store_day
where store in (3003)
and business_date = '01-JAN-2015')
and tran_type in ('SALE', 'RETURN')
group by
store;
How to write the above query using JOINS..
SELECT
sd.store,
SUM(TH.VALUE) AS GROSS ,
SUM(ti.qty) AS QTY
FROM rms.sa_tran_head AS th
JOIN rms.sa_store_day AS sd
ON th.store_day_seq_no = sd.store_day_seq_no
JOIN rms.sa_tran_item AS ti
ON ti.tran_seq_no = th.tran_seq_no
WHERE sd.store in (3003) --in (3003) use in if more than 1 value
AND sd.business_date = '01-JAN-2015'
AND th.tran_type IN ('SALE','RETURN')
GROUP BY
sd.store;
When I add other columns of another table it is showing different values...
I assumed store_day_seq_no is FK for the table rms.sa_store_day and the query with JOIN like this,
SELECT
sd.store,
SUM(sd.value) AS [Sum]
FROM rms.sa_tran_head AS th
JOIN rms.sa_store_day AS sd
ON th.store_day_seq_no = sd.store_day_seq_no
WHERE
sd.store = 3003 --in (3003) use in if more than 1 value
AND sd.business_date = '01-JAN-2015'
AND th.tran_type IN ('SALE','RETURN')
GROUP BY
sd.store;
I think this is ok.
SELECT
t1.store,
SUM(t1.Value) AS Sum_Value
FROM rms.sa_tran_head t1
INNER JOIN sa_store_day t2 ON t1.store_day_seq_no = t2.store_day_seq_no
WHERE t2.store IN ( 3003 )
AND t2.business_date = '01-JAN-2015'
AND t1.tran_type IN ( 'SALE' , 'RETURN' )
GROUP BY t1.store
I have a query an SQL query as follows, can anybody suggest any optimization for this; I think most of the effort is being done for the Union operation - is there anything else can be done to get the same result ?
Basically I wanna query first portion of the UNION and if for each record there is no result then the second portion need to be run. Please help.
:
SET dateformat dmy;
WITH incidentcategory
AS (
SELECT 1 ord, i.IncidentId, rl.Description Category FROM incident i
JOIN IncidentLikelihood l ON i.IncidentId = l.IncidentId
JOIN IncidentSeverity s ON i.IncidentId = s.IncidentId
JOIN LikelihoodSeverity ls ON l.LikelihoodId = ls.LikelihoodId AND s.SeverityId = ls.SeverityId
JOIN RiskLevel rl ON ls.RiskLevelId = rl.riskLevelId
UNION
SELECT 2 ord, i.incidentid,
rl.description Category
FROM incident i
JOIN incidentreportlikelihood l
ON i.incidentid = l.incidentid
JOIN incidentreportseverity s
ON i.incidentid = s.incidentid
JOIN likelihoodseverity ls
ON l.likelihoodid = ls.likelihoodid
AND s.severityid = ls.severityid
JOIN risklevel rl
ON ls.risklevelid = rl.risklevelid
) ,
ic AS (
SELECT ROW_NUMBER() OVER (PARTITION BY i.IncidentId ORDER BY (CASE WHEN incidentTime IS NULL THEN GETDATE() ELSE incidentTime END) DESC,ord ASC) rn,
i.incidentid,
dbo.Incidentdescription(i.incidentid, '',
'',
'', '')
IncidentDescription,
dbo.Dateconverttimezonecompanyid(closedtime,
i.companyid)
ClosedTime,
incidenttime,
incidentno,
Isnull(c.category, '')
Category,
opencorrectiveactions,
reportcompleted,
Isnull(classificationcompleted, 0)
ClassificationCompleted,
Cast (( CASE
WHEN closedtime IS NULL THEN 0
ELSE 1
END ) AS BIT)
IncidentClosed,
Cast (( CASE
WHEN investigatorfinishedtime IS NULL THEN 0
ELSE 1
END ) AS BIT)
InvestigationFinished,
Cast (( CASE
WHEN investigationcompletetime IS NULL THEN 0
ELSE 1
END ) AS BIT)
InvestigationComplete,
Cast (( CASE
WHEN investigatorassignedtime IS NULL THEN 0
ELSE 1
END ) AS BIT)
InvestigatorAssigned,
Cast (( CASE
WHEN (SELECT Count(*)
FROM incidentinvestigator
WHERE incidentid = i.incidentid
AND personid = 1588
AND tablename = 'AdminLevels') = 0
THEN 0
ELSE 1
END ) AS BIT)
IncidentInvestigator,
(SELECT dbo.Strconcat(osname)
FROM (SELECT TOP 10 osname
FROM incidentlocation l
JOIN organisationstructure o
ON l.locationid = o.osid
WHERE incidentid = i.incidentid
ORDER BY l.locorder) loc)
Location,
Isnull((SELECT TOP 1 teamleader
FROM incidentinvestigator
WHERE personid = 1588
AND tablename = 'AdminLevels'
AND incidentid = i.incidentid), 0)
TeamLeader,
incidentstatus,
incidentstatussearch
FROM incident i
LEFT OUTER JOIN incidentcategory c
ON i.incidentid = c.incidentid
WHERE i.isdeleted = 0
AND i.companyid = 158
AND incidentno <> 0
--AND reportcompleted = 1
--AND investigatorassignedtime IS NOT NULL
--AND investigatorfinishedtime IS NULL
--AND closedtime IS NULL
),
ic2 AS (
SELECT * FROM ic WHERE rn=1
)
SELECT * FROM ic2
--WHERE rownumber >= 0
-- AND rownumber < 0 + 10
--WHERE ic2.incidentid in(53327,53538)
--WHERE ic2.incidentid = 53338
ORDER BY incidentid DESC
Following is the execution plan I got:
https://www.dropbox.com/s/50dcpelr1ag4blp/Execution_Plan.sqlplan?dl=0
There are several issues:
1) use UNION ALL instead of UNION ALL to avoid the additional operation to aggregate the data.
2) try to modify the numerous function calls (e.g. dbo.Incidentdescription() ) to be an in-lie table valued function so you can reference it using CROSS APPLY or OUTER APPLY. Especially, if those functions referencing a table again.
3) move the subqueries from the SELECT part of the query to the FROM part using CROSS APPLY or OUTER APPLY again.
4) after the above is done, check the execution plan again for any missing indexes. Also, run the query with STATISTICS TIME, IO on to verify that the number of times a table
is referenced is correct (sometimes the execution plan put you in the wrong direction, especially if function calls are involved)...
Since the first inner query produces rows with ord=1 and the second produces rows with ord=2, you should use UNION ALL instead of UNION. UNION will filter out equal rows and since you will never get equal rows it is more efficient to use UNION ALL.
Also, rewrite your query to not use the WITH construct. I've had very bad experiences with this. Just use regular derived tables instead. In the case the query is still abnormally slow, try to serialize some derived tables to a temporary table and query the temporary table instead.
Try alternate approach by removing
(SELECT dbo.Strconcat(osname)
FROM (SELECT TOP 10 osname
FROM incidentlocation l
JOIN organisationstructure o
ON l.locationid = o.osid
WHERE incidentid = i.incidentid
ORDER BY l.locorder) loc)
Location,
Isnull((SELECT TOP 1 teamleader
FROM incidentinvestigator
WHERE personid = 1588
AND tablename = 'AdminLevels'
AND incidentid = i.incidentid), 0)
TeamLeader
from the SELECT. Avoid using complex functions/sub-queries in select.
I have to do an self join on a table. I am trying to return a list of several columns to see how many of each type of drug test was performed on same day (MM/DD/YYYY) in which there were at least two tests done and at least one of which resulted in a result code of 'UN'.
I am joining other tables to get the information as below. The problem is I do not quite understand how to exclude someone who has a single result row in which they did have a 'UN' result on a day but did not have any other tests that day.
Query Results (Columns)
County, DrugTestID, ID, Name, CollectionDate, DrugTestType, Results, Count(DrugTestType)
I have several rows for ID 12345 which are correct. But ID 12346 is a single row of which is showing they had a row result of count (1). They had a result of 'UN' on this day but they did not have any other tests that day. I want to exclude this.
I tried the following query
select
c.desc as 'County',
dt.pid as 'PID',
dt.id as 'DrugTestID',
p.id as 'ID',
bio.FullName as 'Participant',
CONVERT(varchar, dt.CollectionDate, 101) as 'CollectionDate',
dtt.desc as 'Drug Test Type',
dt.result as Result,
COUNT(dt.dru_drug_test_type) as 'Count Of Test Type'
from
dbo.Test as dt with (nolock)
join dbo.History as h on dt.pid = h.id
join dbo.Participant as p on h.pid = p.id
join BioData as bio on bio.id = p.id
join County as c with (nolock) on p.CountyCode = c.code
join DrugTestType as dtt with (nolock) on dt.DrugTestType = dtt.code
inner join
(
select distinct
dt2.pid,
CONVERT(varchar, dt2.CollectionDate, 101) as 'CollectionDate'
from
dbo.DrugTest as dt2 with (nolock)
join dbo.History as h2 on dt2.pid = h2.id
join dbo.Participant as p2 on h2.pid = p2.id
where
dt2.result = 'UN'
and dt2.CollectionDate between '11-01-2011' and '10-31-2012'
and p2.DrugCourtType = 'AD'
) as derived
on dt.pid = derived.pid
and convert(varchar, dt.CollectionDate, 101) = convert(varchar, derived.CollectionDate, 101)
group by
c.desc, dt.pid, p.id, dt.id, bio.fullname, dt.CollectionDate, dtt.desc, dt.result
order by
c.desc ASC, Participant ASC, dt.CollectionDate ASC
This is a little complicated because the your query has a separate row for each test. You need to use window/analytic functions to get the information you want. These allow you to do calculate aggregation functions, but to put the values on each line.
The following query starts with your query. It then calculates the number of UN results on each date for each participant and the total number of tests. It applies the appropriate filter to get what you want:
with base as (<your query here>)
select b.*
from (select b.*,
sum(isUN) over (partition by Participant, CollectionDate) as NumUNs,
count(*) over (partition by Partitipant, CollectionDate) as NumTests
from (select b.*,
(case when result = 'UN' then 1 else 0 end) as IsUN
from base
) b
) b
where NumUNs <> 1 or NumTests <> 1
Without the with clause or window functions, you can create a particularly ugly query to do the same thing:
select b.*
from (<your query>) b join
(select Participant, CollectionDate, count(*) as NumTests,
sum(case when result = 'UN' then 1 else 0 end) as NumUNs
from (<your query>) b
group by Participant, CollectionDate
) bsum
on b.Participant = bsum.Participant and
b.CollectionDate = bsum.CollectionDate
where NumUNs <> 1 or NumTests <> 1
If I understand the problem, the basic pattern for this sort of query is simply to include negating or exclusionary conditions in your join. I.E., self-join where columnA matches, but columns B and C do not:
select
[columns]
from
table t1
join table t2 on (
t1.NonPkId = t2.NonPkId
and t1.PkId != t2.PkId
and t1.category != t2.category
)
Put the conditions in the WHERE clause if it benchmarks better:
select
[columns]
from
table t1
join table t2 on (
t1.NonPkId = t2.NonPkId
)
where
t1.PkId != t2.PkId
and t1.category != t2.category
And it's often easiest to start with the self-join, treating it as a "base table" on which to join all related information:
select
[columns]
from
(select
[columns]
from
table t1
join table t2 on (
t1.NonPkId = t2.NonPkId
)
where
t1.PkId != t2.PkId
and t1.category != t2.category
) bt
join [othertable] on (<whatever>)
join [othertable] on (<whatever>)
join [othertable] on (<whatever>)
This can allow you to focus on getting that self-join right, without interference from other tables.