How to write SQL query as below - sql

I have a table below
I this table I want to return service 90791 and I want to return the service after that scheduled(H2015).
How can i return it .
starttime and endtime datatype :-char
servicedate data type :-datetime
My current Work:-
declare #date date ,#starttime time ,#endtime time
with AllEntityAccess as (select S.serviceCode,S.clientId,S.serviceDate, S.startTime, S.endTime from servicenotes S
left outer join Clients C on S.clientId = C.clientId where C.clientId = '34'
)
select #date=serviceDate,#starttime=startTime ,#endtime=endTime from AllEntityAccess where serviceCode='90791' order by serviceDate desc
select serviceDate,startTime,* from servicenotes S
left outer join Clients C on S.clientId = C.clientId where C.clientId = '34' and serviceDate >= #date and startTime>= #endtime order by S.startTime asc

You can write query like this
DECLARE #ID INT = (SELECT Id
FROM table
WHERE NAME = 'x'
ORDER BY joinedDate ASC);--assuming your Id column is int
SELECT *
FROM table
WHERE Id >= ID;

declare #last bigint
select top 1 #last=Id
from your_table
where Name='x'
order by Id desc
select top 2 *
from your_table
where Id >= #last
order by Id asc
After edit: Use your queries in "My current work" but change the last to:
select top 2 *
from servicenotes S
where serviceDate>=#date and startTime >= #starttime
order by serviceDate asc, startTime asc

Related

SQL with while loop to DAX conversion

Trying to convert the SQL with while loop code into DAX. Trying to build this query without using temp tables as access is an issue on the database and only have views to work with. I believe best option for me is to code it in DAX. Could someone help with it.
DECLARE #sd DATETIME
DECLARE #ed DATETIME
SELECT #sd = CONVERT(DATETIME, '2021-01-31')
SELECT #ed = GETDATE()
DECLARE #date DATETIME = EOMONTH(#sd)
WHILE ( (#date) <= #ed )
BEGIN
SELECT MONTH(#date) as Month, YEAR(#date) as Year, DAY(#date) as Day, A.*
FROM [people] A
WHERE A.effective_date = (SELECT MAX(B.effective_date)
FROM [people] B
WHERE B.employee_id = A.employee_id
AND B.record_id = A.record_id
AND B.effective_date <= #date)
AND A.effective_sequence = (SELECT MAX(C.effective_sequence)
FROM [people] C
WHERE C.employee_id = A.employee_id
AND C.record_id = A.record_id
AND C.effective_date = A.effective_date)
ORDER BY A.employee_id;
SET #date = EOMONTH(DATEADD(MONTH,1,#date))
END
While you could do this as a view, you would either have to hard-code the start and end dates, or filter them afterwards (which is likely to be inefficient). Instead you can do this as an inline Table Valued Function.
We can use a virtual tally-table (generated with a couple cross-joins) to generate a row for each month
We can use row-numbering instead of the two subqueries
CREATE FUNCTION dbo.GetData (#sd DATETIME, #ed DATETIME)
RETURNS TABLE AS RETURN
WITH L0 AS (
SELECT *
FROM (VALUES(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1),(1)) v(n)
),
L1 AS (
SELECT 1 n FROM L0 a CROSS JOIN L0 b
)
SELECT
MONTH(m.Month) as Month,
YEAR(m.Month) as Year,
DAY(m.Month) as Day,
p.* -- specify columns
FROM (
SELECT *,
ROW_NUMBER() OVER (PARTITION BY m.Month, p.employee_id, p.record_id ORDER BY p.effective_date, p.effective_sequence) AS rn
FROM [people] p
CROSS JOIN (
SELECT TOP (DATEDIFF(month, #sd, #ed) + 1)
DATEADD(month, ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) - 1, EOMONTH(#sd)) AS Month
FROM L1
) m
WHERE p.effective_date <= m.Month
) p
WHERE p.rn = 1
;
Then in PowerBI you can just do for example
SELECT *
FROM dbo.GetData ('2021-01-31', GETDATE()) d
ORDER BY
d.employee_id
Note that you cannot put the ORDER BY within the function, it doesn't work.

SQL: How to get min date associated with patient value

Trying to get earliest date associated with each PatientID for this period of time.
Current SQL returns multiple visits/documents within the time period for a patient I need to show only earliest date for patient tied to particular provider in date range.
Multiple Dates for PatientID
USE EHR
SET TRANSACTION ISOLATION LEVEL READ UNCOMMITTED
DECLARE #PROV NVARCHAR (255) ='KCOOPER0'
DECLARE #START_DATE DATETIME = '2017-09-18 00:00:00.000'
DECLARE #END_DATE DATETIME = '2017-12-17 23:59:59.999'
--DECLARE #START_DATE DATETIME = '2017-10-02 00:00:00.000'
--DECLARE #END_DATE DATETIME = '2017-12-31 23:59:59.999'
SELECT DISTINCT
PS.ID AS AppointmentID
, CL.Code AS PatientID
-- , SU.NameFirst AS PROVFNAME
-- , SU.NameLast AS PROVLNAME
-- , SU.NameSuffix AS PROVSUFFIX
, PS.ProviderId
, PS.ScheduledDateTime AS AppointmentDT
, PS.Duration
, PS.[TYPE] AS TypeDescription
, PS.IsActive as [Status]
, PS.ExternalId AS VisitID
-- , REPLACE(REPLACE(LOC.[Description],'[',''),']','') AS LOCATIONPLACE
, CDA.CreatedOn AS CDA
FROM PatientSchedule PS
INNER JOIN ContactsList CL WITH(NOLOCK) ON PS.PatientID=CL.ReferenceID
AND CL.Relation = 0
AND PS.ScheduledDateTime BETWEEN #START_DATE AND #END_DATE
INNER JOIN SystemUsers SU WITH(NOLOCK) ON PS.InterfaceCode=SU.InterfaceCode AND SU.Status='1'
INNER JOIN EMRDocuments ED ON PS.ID=ED.PatientScheduleId
AND ED.IsActive=1
LEFT JOIN
(SELECT DISTINCT ED.ID
,SU.NPI
,ED.PATIENTSCHEDULEID
,EDE.CreatedOn
FROM
EMRDOCUMENTS ED
INNER JOIN SystemUsers SU ON ED.ModifiedByID=SU.ID
AND ED.IsActive = 1
AND ED.IsSignedOff ='TRUE'
INNER JOIN EMRDocumentExport EDE ON ED.ID=EDE.DocumentId
AND EDE.LabCompanyName = 'FollowMyHealth_CCDA'
) CDA ON PS.ID=CDA.PatientScheduleId
WHERE --CL.Code = #PatientID
su.RegisteredProvider =1
AND SU.UserID =#PROV
ORDER BY CL.Code, CDA.CreatedOn
This is the general idea. You can fill in the details.
select your fields
from your tables
join (select patientId, min(the date field you want) minDate
from your tables
where whatever
group by patientId) minDates
on minDates.patientId = sometable.patientId
and the date field you want = minDate
etc
A join-less alternative, using window function and either a Common Table Expression or sticking with a subselect.
using CTE:
with mindates as (
select field1, field2, ...,
AppointmentDT,
min(AppointmentDT) OVER (PARTITION BY PatientID) minptAppointmentDT
from table
)
select field1, field2, ... , AppointmentDT from mindate_table
where AppointmentDT = minptAppointmentDT
using subselect:
select field1, field2, ... , AppointmentDT from
(select field1, field2, ...,
AppointmentDT,
min(AppointmentDT) OVER (PARTITION BY PatientID) minptAppointmentDT
from table) mindates
where AppointmentDT = minptAppointmentDT

TSQL how to use if else in Where clause

I want to create a report, the report will have parameter for the user to select
-IsApprovedDate
-IsCatcheDate
I would like to know how to used the if else in the where clause.
Example if the user selects IsApprovedDate the report will lookup based on approved Date else will lookup based on catch date. In my query I will get top10 fish size base on award order weight here is my query.
;WITH CTE AS
(
select Rank() OVER (PARTITION BY c.trophyCatchCertificateTypeId order by c.catchWeight desc ) as rnk
,c.id,c.customerId, Cust.firstName + ' '+Cust.lastName as CustomerName
,CAST(CONVERT(varchar(10),catchWeightPoundsComponent)+'.'+CONVERT(varchar(10),catchWeightOuncesComponent) as numeric(6,2) ) WLBS
,c.catchGirth,c.catchLength,ct.description county
,t.description award--
,c.trophyCatchCertificateTypeId
,s.specificSpecies--
,c.speciesId
from Catches c
INNER JOIN TrophyCatchCertificateTypes t on c.trophyCatchCertificateTypeId = t.id
INNER JOIN Species s on c.speciesId = s.id
INNER JOIN Counties ct on c.countyId = ct.id
INNER JOIN Customers Cust on c.customerId = cust.id
Where c.bigCatchCertificateTypeId is not null
and c.catchStatusId =1
and c.speciesId =1 and c.isTrophyCatch =1
and c.catchDate >= #startDay and c.catchDate<=#endDay
)
Select * from CTE c1
Where rnk <=10
Just use conditional logic for this:
where . . . and
((#IsApprovedDate = 1 and c.ApprovedDate >= #startDay and c.ApprovedDate <= #endDay) or
(#IsCatchDate = 1 and c.catchDate >= #startDay and c.catchDate <= #endDay)
)
EDIT:
I would actually write this as:
where . . . and
((#IsApprovedDate = 1 and c.ApprovedDate >= #startDay and c.ApprovedDate < dateadd(day, 1 #endDay) or
(#IsCatchDate = 1 and c.catchDate >= #startDay and c.catchDate < dateadd(day, 1, #endDay))
)
This is a safer construct because it work when the date values have times and when they do not.
Performance will be much better if you build the WHERE clause dynamically in your code and then execute it.

SQL grouping and running total of open items for a date range

I have a table of items that, for sake of simplicity, contains the ItemID, the StartDate, and the EndDate for a list of items.
ItemID StartDate EndDate
1 1/1/2011 1/15/2011
2 1/2/2011 1/14/2011
3 1/5/2011 1/17/2011
...
My goal is to be able to join this table to a table with a sequential list of dates,
and say both how many items are open on a particular date, and also how many items are cumulatively open.
Date ItemsOpened CumulativeItemsOpen
1/1/2011 1 1
1/2/2011 1 2
...
I can see how this would be done with a WHILE loop,
but that has performance implications. I'm wondering how
this could be done with a set-based approach?
SELECT COUNT(CASE WHEN d.CheckDate = i.StartDate THEN 1 ELSE NULL END)
AS ItemsOpened
, COUNT(i.StartDate)
AS ItemsOpenedCumulative
FROM Dates AS d
LEFT JOIN Items AS i
ON d.CheckDate BETWEEN i.StartDate AND i.EndDate
GROUP BY d.CheckDate
This may give you what you want
SELECT DATE,
SUM(ItemOpened) AS ItemsOpened,
COUNT(StartDate) AS ItemsOpenedCumulative
FROM
(
SELECT d.Date, i.startdate, i.enddate,
CASE WHEN i.StartDate = d.Date THEN 1 ELSE 0 END AS ItemOpened
FROM Dates d
LEFT OUTER JOIN Items i ON d.Date BETWEEN i.StartDate AND i.EndDate
) AS x
GROUP BY DATE
ORDER BY DATE
This assumes that your date values are DATE data type. Or, the dates are DATETIME with no time values.
You may find this useful. The recusive part can be replaced with a table. To demonstrate it works I had to populate some sort of date table. As you can see, the actual sql is short and simple.
DECLARE #i table (itemid INT, startdate DATE, enddate DATE)
INSERT #i VALUES (1,'1/1/2011', '1/15/2011')
INSERT #i VALUES (2,'1/2/2011', '1/14/2011')
INSERT #i VALUES (3,'1/5/2011', '1/17/2011')
DECLARE #from DATE
DECLARE #to DATE
SET #from = '1/1/2011'
SET #to = '1/18/2011'
-- the recusive sql is strictly to make a datelist between #from and #to
;WITH cte(Date)
AS (
SELECT #from DATE
UNION ALL
SELECT DATEADD(day, 1, DATE)
FROM cte ch
WHERE DATE < #to
)
SELECT cte.Date, sum(case when cte.Date=i.startdate then 1 else 0 end) ItemsOpened, count(i.itemid) ItemsOpenedCumulative
FROM cte
left join #i i on cte.Date between i.startdate and i.enddate
GROUP BY cte.Date
OPTION( MAXRECURSION 0)
If you are on SQL Server 2005+, you could use a recursive CTE to obtain running totals, with the additional help of the ranking function ROW_NUMBER(), like this:
WITH grouped AS (
SELECT
d.Date,
ItemsOpened = COUNT(i.ItemID),
rn = ROW_NUMBER() OVER (ORDER BY d.Date)
FROM Dates d
LEFT JOIN Items i ON d.Date BETWEEN i.StartDate AND i.EndDate
GROUP BY d.Date
WHERE d.Date BETWEEN #FilterStartDate AND #FilterEndDate
),
cumulative AS (
SELECT
Date,
ItemsOpened,
ItemsOpenedCumulative = ItemsOpened
FROM grouped
WHERE rn = 1
UNION ALL
SELECT
g.Date,
g.ItemsOpened,
ItemsOpenedCumulative = g.ItemsOpenedCumulative + c.ItemsOpened
FROM grouped g
INNER JOIN cumulative c ON g.Date = DATEADD(day, 1, c.Date)
)
SELECT *
FROM cumulative

why does adding the where statement to this sql make it run so much slower?

I have inherited a stored procedure and am having problems with it takes a very long time to run (around 3 minutes). I have played around with it, and without the where clause it actually only takes 12 seconds to run. None of the tables it references have a lot of data in them, can anybody see any reason why adding the main where clause below makes it take so much longer?
ALTER Procedure [dbo].[MissingReadingsReport] #SiteID INT,
#FormID INT,
#StartDate Varchar(8),
#EndDate Varchar(8)
As
If #EndDate > GetDate()
Set #EndDate = Convert(Varchar(8), GetDate(), 112)
Select Dt.FormID,
DT.FormDAte,
DT.Frequency,
Dt.DayOfWeek,
DT.NumberOfRecords,
Dt.FormName,
dt.OrgDesc,
Dt.CDesc
FROM (Select MeterForms.FormID,
MeterForms.FormName,
MeterForms.SiteID,
MeterForms.Frequency,
DateTable.FormDate,
tblOrganisation.OrgDesc,
CDesc = ( COMPANY.OrgDesc ),
DayOfWeek = CASE Frequency
WHEN 'Day' THEN DatePart(dw, DateTable.FormDate)
WHEN 'WEEK' THEN
DatePart(dw, MeterForms.FormDate)
END,
NumberOfRecords = CASE Frequency
WHEN 'Day' THEN (Select TOP 1 RecordID
FROM MeterReadings
Where
MeterReadings.FormDate =
DateTable.FormDate
And MeterReadings.FormID =
MeterForms.FormID
Order By RecordID DESC)
WHEN 'WEEK' THEN (Select TOP 1 ( FormDate )
FROM MeterReadings
Where
MeterReadings.FormDate >=
DateAdd(d
, -4,
DateTable.FormDate)
And MeterReadings.FormDate
<=
DateAdd(d, 3,
DateTable.FormDate)
AND MeterReadings.FormID =
MeterForms.FormID)
END
FROM MeterForms
INNER JOIN DateTable
ON MeterForms.FormDate <= DateTable.FormDate
INNER JOIN tblOrganisation
ON MeterForms.SiteID = tblOrganisation.pkOrgId
INNER JOIN tblOrganisation COMPANY
ON tblOrganisation.fkOrgID = COMPANY.pkOrgID
/*this is what makes the query run slowly*/
Where DateTable.FormDAte >= #StartDAte
AND DateTable.FormDate <= #EndDate
AND MeterForms.SiteID = ISNULL(#SiteID, MeterForms.SiteID)
AND MeterForms.FormID = IsNull(#FormID, MeterForms.FormID)
AND MeterForms.FormID > 0)DT
Where ( Frequency = 'Day'
And dt.NumberofRecords IS NULL )
OR ( ( Frequency = 'Week'
AND DayOfWeek = DATEPART (dw, Dt.FormDate) )
AND ( FormDate <> NumberOfRecords
OR dt.NumberofRecords IS NULL ) )
Order By FormID
Based on what you've already mentioned, it looks like the tables are properly indexed for columns in the join conditions but not for the columns in the where clause.
If you're not willing to change the query, it may be worth it to look into indexes defined on the where clause columns, specially that have the NULL check
Try replacing your select with this:
FROM
(select siteid, formid, formdate from meterforms
where siteid = isnull(#siteid, siteid) and
meterforms.formid = isnull(#formid, formid) and formid >0
) MeterForms
INNER JOIN
(select formdate from datetable where formdate >= #startdate and formdate <= #enddate) DateTable
ON MeterForms.FormDate <= DateTable.FormDate
INNER JOIN tblOrganisation
ON MeterForms.SiteID = tblOrganisation.pkOrgId
INNER JOIN tblOrganisation COMPANY
ON tblOrganisation.fkOrgID = COMPANY.pkOrgID
/*this is what makes the query run slowly*/
)DT
I would be willing to bet that if you moved the Meterforms where clauses up to the from statement:
FROM (select [columns] from MeterForms WHERE SiteID= ISNULL [etc] ) MF
INNER JOIN [etc]
It would be faster, as the filtering would occur before the join. Also, having your INNER JOIN on your DateTable doing a <= down in your where clause may be returning more than you'd like ... try moving that between up to a subselect as well.
Have you run an execution plan on this yet to see where the bottleneck is?
Random suggestion, coming from an Oracle background:
What happens if you rewrite the following:
AND MeterForms.SiteID = ISNULL(#SiteID, MeterForms.SiteID)
AND MeterForms.FormID = IsNull(#FormID, MeterForms.FormID)
...to
AND (#SiteID is null or MeterForms.SiteID = #SiteID)
AND (#FormID is null or MeterForms.FormID = #FormID)