Question: I need to select only record with 'O' and also check the 'Actual Time' if record is 'D' then do not consider the record - 'O' output, see my expected output below (new to SQL)
SELECT DISTINCT Record, Actual Time
FROM app.abc
WHERE id = 100
Record Actual Time
-----------------------------------
D 2022-06-13 02:52:00.000
O 2022-06-13 02:52:00.000
O 2022-06-13 05:11:00.000
Expected output:
Record Actual Time
---------------------------------
O 2022-06-13 05:11:00.000
Okay,
;WITH [X] AS (
SELECT DISTINCT [Record], [Actual Time] FROM [app].[abc] WHERE [id]=100
)
SELECT
O.[Record],
O.[Actual Time]
FROM
[X] [O]
LEFT JOIN
(
SELECT
[Actual Time]
FROM
[X]
WHERE
[Record] = 'D'
) [D]
ON D.[Actual Time] != O.[Actual Time]
WHERE
O.[Record] = 'O';
You want to find O records without a matching D record. That is pretty much the definition of an anti-join. You can do:
select a.*
from abc a
left join abc b on b.actual_time = a.actual_time and b.record = 'D'
where a.record = 'O' and b.record is null
Result:
record actual_time
------ ---------------------------
O 2022-06-13 05:11:00.0000000
See running example at db<>fiddle.
Related
I am running this problem on SQL server
Here is my problem.
have something like this
Dataset A
FK_ID StartDate EndDate Type
1 10/1/2018 11/30/2018 M
1 12/1/2018 2/28/2019 N
1 3/1/2019 10/31/2019 M
I have a second data source I have no control over with data something like this:
Dataset B
FK_ID SpanStart SpanEnd Type
1 10/1/2018 10/15/2018 M
1 10/1/2018 10/25/2018 M
1 2/15/2019 4/30/2019 M
1 5/1/2019 10/31/2019 M
What I am trying to accomplish is to check to make sure every date within each TYPE M record in Dataset A has at least 1 record in Dataset B.
For example record 1 in Dataset A does NOT have coverage from 10/26/2018 through 11/30/2018. I really only care about when the coverage ends, in this case I want to return 10/26/2018 because it is the first date where the span has no coverage from Dataset B.
I've written a function that does this but it is pretty slow because it is cycling through each date within each M record and counting the number of records in Dataset B. It exits the loop when it finds the first one but I would really like to make this more efficient. I am sure I am not thinking about this properly so any suggestions anyone can offer would be helpful.
This is the section of code I'm currently running
else if #SpanType = 'M'
begin
set #CurrDate = #SpanStart
set #UncovDays = 0
while #CurrDate <= #SpanEnd
Begin
if (SELECT count(*)
FROM eligiblecoverage ec join eligibilityplan ep on ec.plandescription = ep.planname
WHERE ec.masterindividualid = #IndID
and ec.planbegindate <= #CurrDate and ec.planenddate >= #CurrDate
and ec.sourcecreateddate = #MaxDate
and ep.medicaidcoverage = 1) = 0
begin
SET #Result = concat('NON Starting ',format(#currdate, 'M/d/yyyy'))
BREAK
end
set #CurrDate = #CurrDate + 1
end
end
I am not married to having a function it just could not find a way to do this in queries that wasn't very very slow.
EDIT: Dataset B will never have any TYPEs except M so that is not a consideration
EDIT 2: The code offered by DonPablo does de-overlap the data but only in cases where there is an overlap at all. It reduces dataset B to:
FK_ID SpanStart SpanEnd Type
1 10/1/2018 10/25/2018 M
instead of
FK_ID SpanStart SpanEnd Type
1 10/1/2018 10/25/2018 M
1 2/15/2019 4/30/2019 M
1 5/1/2019 10/31/2019 M
I am still futzing around with it but it's a start.
I would approach this by focusing on B. My assumption is that any absent record would follow span_end in the table. So here is the idea:
Unpivot the dates in B (adding "1" to the end dates)
Add a flag if they are present with type "M".
Check to see if any not-present records are in the span for A.
Check the first and last dates as well.
So, this looks like:
with bdates as (
select v.dte,
(case when exists (select 1
from b b2
where v.dte between b2.spanstart and b2.spanend and
b2.type = 'M'
)
then 1 else 0
end) as in_b
from b cross apply
(values (spanstart), (dateadd(day, 1, spanend)
) v(dte)
where b.type = 'M' -- all we care about
group by v.dte -- no need for duplicates
)
select a.*,
(case when not exists (select 1
from b b2
where a.startdate between b2.spanstart and b2.spanend and
b2.type = 'M'
)
then 0
when not exists (select 1
from b b2
where a.enddate between b2.spanstart and b2.spanend and
b2.type = 'M'
)
when exists (select 1
from bdates bd
where bd.dte between a.startdate and a.enddate and
bd.in_b = 0
)
then 0
when exists (select 1
from b b2
where a.startdate between b2.spanstart and b2.spanend and
b2.type = 'M'
)
then 1
else 0
end)
from a;
What is this doing? Four validity checks:
Is the starttime valid?
Is the endtime valid?
Are any intermediate dates invalid?
Is there at least one valid record?
Start by framing the problem in smaller pieces, in a sequence of actions like I did in the comment.
See George Polya "How To Solve It" 1945
Then Google is your friend -- look at==> sql de-overlap date ranges into one record (over a million results)
UPDATED--I picked Merge overlapping dates in SQL Server
and updated it for our table and column names.
Also look at theory from 1983 Allen's Interval Algebra https://www.ics.uci.edu/~alspaugh/cls/shr/allen.html
Or from 2014 https://stewashton.wordpress.com/2014/03/11/sql-for-date-ranges-gaps-and-overlaps/
This is a primer on how to setup test data for this problem.
Finally determine what counts via Ranking the various pairs of A vs B --
bypass those totally Within, then work with earliest PartialOverlaps, lastly do the Precede/Follow items.
--from Merge overlapping dates in SQL Server
with SpanStarts as
(
select distinct FK_ID, SpanStart
from Coverage_B as t1
where not exists
(select * from Coverage_B as t2
where t2.FK_ID = t1.FK_ID
and t2.SpanStart < t1.SpanStart
and t2.SpanEnd >= t1.SpanStart)
),
SpanEnds as
(
select distinct FK_ID, SpanEnd
from Coverage_B as t1
where not exists
(select * from Coverage_B as t2
where t2.FK_ID = t1.FK_ID
and t2.SpanEnd > t1.SpanEnd
and t2.SpanStart <= t1.SpanEnd)
),
DeOverlapped_B as
(
Select FK_ID, SpanStart,
(select min(SpanEnd) from SpanEnds as e
where e.FK_ID = s.FK_ID
and SpanEnd >= SpanStart) as SpanEnd
from SpanStarts as s
)
Select * from DeOverlapped_B
Now we have something to feed into the next steps, and we can use the above as a CTE
======================================
with SpanStarts as
(
select distinct FK_ID, SpanStart
from Coverage_B as t1
where not exists
(select * from Coverage_B as t2
where t2.FK_ID = t1.FK_ID
and t2.SpanStart < t1.SpanStart
and t2.SpanEnd >= t1.SpanStart)
),
SpanEnds as
(
select distinct FK_ID, SpanEnd
from Coverage_B as t1
where not exists
(select * from Coverage_B as t2
where t2.FK_ID = t1.FK_ID
and t2.SpanEnd > t1.SpanEnd
and t2.SpanStart <= t1.SpanEnd)
),
DeOverlapped_B as
(
Select FK_ID, SpanStart,
(select min(SpanEnd) from SpanEnds as e
where e.FK_ID = s.FK_ID
and SpanEnd >= SpanStart) as SpanEnd
from SpanStarts as s
),
-- find A row's coverage
ACoverage as (
Select
a.*, b.SpanEnd, b.SpanStart,
Case
When SpanStart <= StartDate And StartDate <= SpanEnd
And SpanStart <= EndDate And EndDate <= SpanEnd
Then '1within' -- starts, equals, during, finishes
When EndDate < SpanStart
Or SpanEnd < StartDate
Then '3beforeAfter' -- preceeds, meets, preceeded, met
Else '2overlap' -- one or two ends hang over spanStart/End
End as relation
From Coverage_A a
Left Join DeOverlapped_B b
On a.FK_ID = b.FK_ID
Where a.Type = 'M'
)
Select
*
,Case
When relation1 = '2' And StartDate < SpanStart Then StartDate
When relation1 = '2' Then DateAdd(d, 1, SpanEnd)
When relation1 = '3' Then StartDate
End as UnCoveredBeginning
From (
Select
*
,SUBSTRING(relation,1,1) as relation1
,ROW_NUMBER() Over (Partition by A_ID Order by relation, SpanStart) as Rownum
from ACoverage
) aRNO
Where Rownum = 1
And relation1 <> '1'
I have 3 tables in SQL Server:
map_table: (workflow map path)
stepId step_name
----------------
1 A
2 B
3 C
4 D
5 E
history_table:
stepId timestamp author
----------------------------
1 9:00am John
2 9:20am Mary
current_stageTable:
Id currentStageId waitingFor
------------------------------------
12345 3 Kat
I would like to write a query to show the map with the workflow status. Like this result here:
step name time author
----------------------------
1 A 9:00am John
2 B 9:20am Mary
3 C waiting Kat
4 D
5 E
I tried left join
select
m.stepId, m.step_name, h.timestamp, h.author
from
map_table m
left join
history_table h on m.stepId = h.stepId
I thought it will list all the records from the map table, since I am using left join, but somehow it only shows 3 records which is from history table..
So I changed to
select
m.stepId, m.step_name, h.timestamp, h.author
from
map_table m
left join
history_table h on m.stepId = h.stepId
union
select
m.stepId, m.step_name, '' as timestamp, '' as author
from
map_table m
where
m.stageId not in (select stageId from history_table)
order by
m.stepId
Then it list the result almost as I expected, but how do I add the 3rd table in to show the current active stage?
Thank you very much for all your help!! Much appreciated.
Looks like it's what you asked:
with map_table as (
select * from (values (1,'A')
,(2,'B')
,(3,'C')
,(4,'D')
,(5,'E')) t(stepId, step_name)
)
, history_table as (
select * from (values
(1,'9:00am','John')
,(2,'9:20am','Mary')) t(stepId, timestamp, author)
)
, current_stapeTable as (
select * from (values (2345, 3, 'Kat')) t(Id, currentStageId, waitingFor)
)
select
m.stepId, m.step_name
, time = coalesce(h.timestamp, case when c.waitingFor is not null then 'waiting' end)
, author = coalesce(h.author, c.waitingFor)
from
map_table m
left join history_table h on m.stepId = h.stepId
left join current_stapeTable c on m.stepId = c.currentStageId
I think a union fits well with the data and avoids the coalescing the values on multiple joins.
with timeline as (
select stepId, "timestamp" as ts, author from history_table
union all
select currentStageId, 'waiting', waitingFor from current_stageTable
)
select step_id, step_name, "timestamp", author
from
map_table as m left outer join timeline as t
on t.stepId = m.stepId
I'm not an expert in T-SQL so here I'm trying to find the % compliance for flu vaccine ,TB test and resiprator test by supervisor for medical staffs. Each employee has a supervisor name linked to their employee info. The below code works fine and it's giving me the % for the above tests. The problem is that I want to get the ID, Name and Department by Supervisor and the % compliance.
The expected output is like this:
Supervisor ID NAME Dept %Flu %TB %FIT
Elaine Jong 98% 100% 52%
001 MARY SURGERY
002 SUSAN SURGERY
James Ande 100% 98% 78%
267 JIM INPATIENT
789 SAM INPATIENT
Current OUTPUT
%Flu %TB %FIT
Elaine Jong 98% 100% 52%
James Ande 100% 98% 78%
And the Query:
SELECT E.FLDSUPRNAME AS Supervisor,
1.0*SUM(
CASE WHEN I.FLDDATE IS NULL
THEN 0 ELSE 1
END)/SUM(1) AS Percent_Flu_Compliant,
1.0*SUM(
CASE WHEN F.FLDDATE IS NULL OR (F.FLDDATE+365) < GETDATE()
THEN 0 ELSE 1
END) / SUM(1)
AS Percent_Fit_Compliant,
1.0*SUM(
CASE WHEN PPDx.FLDDATEDUE IS NULL
AND TBSSx.FLDDATEDUE IS NULL
AND CDUEx.FLDDATEDUE IS NULL
THEN 1 ELSE 0
END) /SUM(1) AS Percent_TB_Compliant
FROM EMPLOYEE E
LEFT OUTER JOIN DEPT D
ON D.FLDCODE= E.FLDDEPT
LEFT OUTER JOIN IMMUNE I ON I.FLDEMPLOYEE = E.FLDREC_NUM AND I.FLDTYPE IN ('109', '111')
AND I.FLDDATE = ( SELECT MAX(FLDDATE) FROM IMMUNE I2 WHERE E.FLDREC_NUM = I2.FLDEMPLOYEE
AND I2.FLDTYPE IN ('109','111') ) AND I.FLDDATE >= #Flu_Date AND I.FLDDATE <= GETDATE()
LEFT OUTER JOIN FITTEST F ON E.FLDREC_NUM = F.FLDEMPLOYEE
AND F.FLDDATE = (SELECT MAX(FLDDATE) FROM FITTEST F2 WHERE E.FLDREC_NUM = F2.FLDEMPLOYEE)
LEFT OUTER JOIN REQEXAM PPDx
ON PPDx.FLDEMPLOYEE = E.FLDREC_NUM
AND PPDx.FLDPHYSICAL = '110' AND
PPDx.FLDDATEDUE <= getdate()
LEFT OUTER JOIN REQEXAM PPDL
ON PPDL.FLDEMPLOYEE = E.FLDREC_NUM
AND PPDL.FLDPHYSICAL = '110'
LEFT OUTER JOIN REQEXAM TBSSx
ON TBSSx.FLDEMPLOYEE = E.FLDREC_NUM
AND TBSSx.FLDPHYSICAL = 'TBSS' AND
TBSSx.FLDDATEDUE <= getdate()
LEFT OUTER JOIN REQEXAM TBSSL
ON TBSSL.FLDEMPLOYEE = E.FLDREC_NUM
AND TBSSL.FLDPHYSICAL = 'TBSS'
LEFT OUTER JOIN REQEXAM CDUEx
ON CDUEx.FLDEMPLOYEE = E.FLDREC_NUM
AND CDUEx.FLDPHYSICAL = '109' AND
CDUEx.FLDDATEDUE <= getdate()
LEFT OUTER JOIN EMP S
ON S.FLDREC_NUM = E.FLDREC_NUM
WHERE E.FLDCOMP = #company
AND E.FLDSTATUS = 'A'
AND E.FLDSUPRNAME <> ' '
AND E.FLDID <> ' '
GROUP BY E.FLDSUPRNAME
ORDER BY E.FLDSUPRNAME
If I add ID,NAME and Dept on select and group by , SUM(1) will turn to 1 or 0, so I'm getting either 100% or 0% for all supervisors.
Any help on this is really appreciated.
thanks for your time.
USE an UNION, add blank columns to your first query and remove the order by:
SELECT (CASE WHEN ID IS NULL THEN Supervisor ELSE '' END) ,ID, name,dept,Percent_Flu_Compliant,Percent_TB_Compliant,Percent_Fit_Compliant FROM
(
SELECT E.FLDSUPRNAME AS Supervisor, NULL as ID, NULL as name, NULL as dept
(...)
GROUP BY hiddensupervisor, Supervisor, ID, name, dept
UNION ALL
SELECT E.FLDSUPRNAME Supervisor, E.id, E.name, E.dept, NULL as Percent_Flu_Compliant, NULL as Percent_TB_Compliant, NULL asPercent_Fit_Compliant
FROM Employee
) as q
ORDER BY supervisor, (CASE WHEN ID IS NULL THEN 1 ELSE 0 END),ID
we add the hidden supervisor column to be able to fit employees under their supervisor but leave that field blank there (we also could not add it and use case in the outer query, dunno which one would be faster). Apparently we have to try with case
I have the following table setup
Acc Currency Alias
1 NULL A
1 USD B
1 EUR C
I want to extract the alias by giving the input as Acc. The Currency and Acc are joined to another table.
It should work as follows -
If acc = 1 and currency is USD then B, if EUR then C, if null then A
Can someone help with this please ?
Did you actually try to write any SQL yourself?
SELECT ...
FROM otherTable ot
(INNER) JOIN thisTable tt
ON ot.Acc = tt.Acc AND ot.Currency = tt.Currency
...
Matching on NULL explicitly
SELECT *
FROM othertbl o
JOIN thistbl t on o.acc = t.acc
and (o.currency = t.currency or o.currency is null AND t.currency is null)
Or in your case, using the NULL currency from thistbl as a fallback
SELECT ...
FROM othertbl o
JOIN thistbl t on o.acc = t.acc and o.currency = t.currency
UNION ALL
SELECT ...
FROM othertbl o
JOIN thistbl t on o.acc = t.acc and t.currency IS NULL
WHERE NOT EXISTS (select *
from thistbl t2
where o.acc = t2.acc and o.currency = t2.currency)
I have a table similar to the following:
id key str_val date_val num_val
1 A a
1 B b
1 C 2012-01-01
1 D 1
2 A c
2 E d
2 C 2012-01-02
2 D 2
I need it to look like:
id A B C D E
1 a b 2012-01-01 1
2 c 2012-01-02 2 d
Basically, each key needs to become it's own column
I tried and failed to use the PIVOT command usefully, and I'm currently trying to accomplish this with a case statement. i.e.
select
id,
case key
when 'A'
then str_val
end as A,
case key
when 'C'
then date_val
end as C
--etc.
from test_table
However I can't figure out how to combine the table rows after this runs. I'm stuck with:
id A B C D E
1 a
1 b
1 2012-01-01
1 1
Any thoughts or input that could help me out? Thanks in advance.
You are 90% of the way there:
with cte as (
select
id,
case [key]
when 'A'
then str_val
end as A,
case [key]
when 'B'
then str_val
end as B,
case [key]
when 'C'
then date_val
end as C,
case [key]
when 'D'
then num_val
end as D,
case [key]
when 'E'
then str_val
end as E
from test_table
)
select id, max(A) as A, max(B) as B, max(C) as C, max(D) as D, max(E) as E
from cte
group by id
As long as id and key are a unique combination per table then you could write your query like:
SELECT ta.str_val as A,
tb.str_val as B,
tc.date_val as C,
td.num_val as D,
te.str_val as E
FROM (SELECT DISTINCT id FROM test_table) ids
LEFT JOIN test_table ta ON ids.id = ta.id AND ta.key = 'A'
LEFT JOIN test_table tb ON ids.id = tb.id AND tb.key = 'B'
LEFT JOIN test_table tc ON ids.id = tc.id AND tc.key = 'C'
LEFT JOIN test_table td ON ids.id = td.id AND td.key = 'D'
LEFT JOIN test_table tc ON ids.id = te.id AND te.key = 'E';
In this query you get all the IDs (if you can reply on column 'A' always being there you can start with that instead). Then you have to join on each key for the given id.
If you cannot rely on the data type of the key, i.e. A may be String or Date, then you have to use the following for each select:
COALESCE(ta.str_val,TO_CHAR(ta.date_val,'DD-MM-YYYY'),TO_CHAR(ta.num_val)) A,
COALESCE(tb.str_val,TO_CHAR(tb.date_val,'DD-MM-YYYY'),TO_CHAR(tb.num_val)) B,
...
etc.