I am working with sql server through SSMS right now. How can i choose all people with multiple(>2)vacancies?
I am trying something like that, but i dont understand how to make part with "more than 2 vacancies"?
SELECT dbo.applicants.FirstName, dbo.vacancy.Name
FROM dbo.applicants INNER JOIN
dbo.VacancyApplicant ON dbo.applicants.id = dbo.VacancyApplicant.ApplicantId INNER JOIN
dbo.vacancy ON dbo.VacancyApplicant.VacancyId = dbo.vacancy.id WHERE dbo.vacancy.Name='third vacancy'
SELECT dbo.applicants.FirstName, dbo.vacancy.Name
FROM dbo.applicants A INNER JOIN
dbo.VacancyApplicant V ON A.id = V.ApplicantId
WHERE EXIST(
SELECT 1
FROM dbo.applicants INNER JOIN
dbo.VacancyApplicant ON dbo.applicants.id =
dbo.VacancyApplicant.ApplicantId INNER JOIN
dbo.vacancy ON dbo.VacancyApplicant.VacancyId = dbo.vacancy.id
WHERE A.id=dbo.applicants.id
GROUP BY dbo.applicants.id,dbo.vacancy.id
HAVING COUNT(1)>2
)
Group By and Having are you basic answer. Below is a simple solution, might not be ideal, but can give you the idea.
I am finding target "applicants" ids in subquery, that uses GROUP BY and HAVING then outer query joins to that to output FirstName and LastName of applicant
SELECT dbo.applicants.FirstName, dbo.applicants.LastName FROM
dbo.applicants a INNER JOIN
(
SELECT dbo.applicants.id
FROM dbo.applicants INNER JOIN
dbo.VacancyApplicant ON dbo.applicants.id = dbo.VacancyApplicant.ApplicantId INNER JOIN
dbo.vacancy ON dbo.VacancyApplicant.VacancyId = dbo.vacancy.id AND dbo.vacancy.Name='third vacancy'
GROUP BY dbo.applications.id
HAVING COUNT(dbo.vacancy.id) > 2
) targetIds ON a.id = targetIds.id
"more than 2 vacancies"?
Your question only mentions vacancies but your query is filtering for a particular name. I assume you really want more than two of that name.
If I understand correctly, you want aggregation:
SELECT a.FirstName, a.Name
FROM dbo.applicants a INNER JOIN
dbo.VacancyApplicant va
ON a.id = va.ApplicantId INNER JOIN
dbo.vacancy v
ON va.VacancyId = v.id
WHERE v.Name = 'third vacancy'
GROUP BY a.FirstName, v.Name
HAVING COUNT(*) > 2;
Note the use of table aliases. They make the query easier to write and to read.
WITH TempCTE AS (
SELECT DISTINCT ap.FirstName
,vc.Name
,COUNT (va.VacancyId) OVER (PARTITION BY ap.id) AS NoOfVacancies
FROM dbo.applicants ap
JOIN dbo.VacancyApplicant va
ON ap.id = va.ApplicantId
JOIN dbo.vacancy vc
ON va.VacancyId = vc.id
)
SELECT FirstName,[Name], NoOfVacancies FROM TempCTE
WHERE NoOfVacancies > 2
Related
I am trying to create one single query that will give me a distinct count for both the ActivityID and the CommentID. My query in MS Access looks like this:
SELECT
tbl_Category.Category, Count(tbl_Activity.ActivityID) AS CountOfActivityID,
Count(tbl_Comments.CommentID) AS CountOfCommentID
FROM tbl_Category LEFT JOIN
(tbl_Activity LEFT JOIN tbl_Comments ON
tbl_Activity.ActivityID = tbl_Comments.ActivityID) ON
tbl_Category.CategoryID = tbl_Activity.CategoryID
WHERE
(((tbl_Activity.UnitID)=5) AND ((tbl_Comments.PeriodID)=1))
GROUP BY
tbl_Category.Category;
I know the answer must somehow include SELECT DISTINCT but am not able to get it to work. Do I need to create multiple subqueries?
This is really painful in MS Access. I think the following does what you want to do:
SELECT ac.Category, ac.num_activities, aco.num_comments
FROM (SELECT ca.category, COUNT(*) as num_activities
FROM (SELECT DISTINCT c.Category, a.ActivityID
FROM (tbl_Category as c INNER JOIN
tbl_Activity as a
ON c.CategoryID = a.CategoryID
) INNER JOIN
tbl_Comments as co
ON a.ActivityID = co.ActivityID
WHERE a.UnitID = 5 AND co.PeriodID = 1
) as caa
GROUP BY ca.category
) as ca LEFT JOIN
(SELECT c.Category, COUNT(*) as num_comments
FROM (SELECT DISTINCT c.Category, co.CommentId
FROM (tbl_Category as c INNER JOIN
tbl_Activity as a
ON c.CategoryID = a.CategoryID
) INNER JOIN
tbl_Comments as co
ON a.ActivityID = co.ActivityID
WHERE a.UnitID = 5 AND co.PeriodID = 1
) as aco
GROUP BY c.Category
) as aco
ON aco.CommentId = ac.CommentId
Note that your LEFT JOINs are superfluous because the WHERE clause turns them into INNER JOINs. This adjusts the logic for that purpose. The filtering is also very tricky, because it uses both tables, requiring that both subqueries have both JOINs.
You can use DISTINCT:
SELECT
tbl_Category.Category, Count(DISTINCT tbl_Activity.ActivityID) AS CountOfActivityID,
Count(DISTINCT tbl_Comments.CommentID) AS CountOfCommentID
FROM tbl_Category LEFT JOIN
(tbl_Activity LEFT JOIN tbl_Comments ON
tbl_Activity.ActivityID = tbl_Comments.ActivityID) ON
tbl_Category.CategoryID = tbl_Activity.CategoryID
WHERE
(((tbl_Activity.UnitID)=5) AND ((tbl_Comments.PeriodID)=1))
GROUP BY
tbl_Category.Category;
I am trying to get a list of our users from our database along with the number of people from the same cohort as them - which in this case is defined as being from the same medical school at the same time.
medical_school_id is stored in the doctor_record table
graduation_dt is stored in the doctor_record table as well.
I have managed to write this query out using a subquery which does a select statement counting the number of others for each row but this takes forever. My logic is telling me that I ought to run a simple GROUP BY query once first and then somehow JOIN the medical_school_id on to that.
The group by query is as follows
select count(ca.id) , cdr.medical_school_id, cdr.graduation_dt
from account ca
LEFT JOIN doctor cd on ca.id = cd.account_id
LEFT JOIN doctor_record cdr on cd.gmc_number = cdr.gmc_number
GROUP BY cdr.medical_school_id, cdr.graduation_dt
The long select query is
select a.id, a.email , dr.medical_school_id,
(select count(ba.id) from account ba
LEFT JOIN doctor bd on ba.id = bd.account_id
LEFT JOIN doctor_record bdr on bd.gmc_number = bdr.gmc_number
WHERE bdr.medical_school_id = dr.medical_school_id AND bdr.graduation_dt = dr.graduation_dt) AS med_count,
from account a
LEFT JOIN doctor d on a.id = d.account_id
LEFT JOIN doctor_record dr on d.gmc_number = dr.gmc_number
If you could push me in the right direction that would be amazing
I think you just want window functions:
select a.id, a.email, dr.medical_school_id, dr.graduation_dt,
count(*) over (partition by dr.medical_school_id, dr.graduation_dt) as cohort_size
from account a left join
doctor d
on a.id = d.account_id left join
doctor_record dr
on d.gmc_number = dr.gmc_number;
Using your same code for group by:
SELECT * FROM (
(
SELECT acc.[id]
, acc.[email]
FROM
account acc
LEFT JOIN
doctor doc
ON
acc.id = doc.account_id
LEFT JOIN
doctor_record doc_rec
ON
doc.gmc_number = doc_rec.gmc_number
) label
LEFT JOIN
(
SELECT count(acco.id)
, doc_reco.medical_school_id
, doc_reco.graduation_dt
FROM
account acco
LEFT JOIN
doctor doct
ON
acco.id = doct.account_id
LEFT JOIN
doctor_record doc_reco
ON
doct.gmc_number = doc_reco.gmc_number
GROUP BY
doc_reco.medical_school_id,
doc_reco.graduation_dt
) count
ON
count.[medical_school_id]=label.[medical_school_id]
AND
count.[graduation_dt]=label.[graduation_date]
)
how about something like this?
select a.doctor_id
, count(*) - 1
from doctor_record a
left join doctor_record b on a.medical_school_id = b.medical_school_id
and a.graduation_dt = b.graduation_dt
group by a.doctor_id
Subtract 1 from the count so that you're not counting the doctor in the "other folks in same cohort" number
I'm defining "same cohort" as "same medical school & graduation date".
I'm unclear on what GMC number is and how it is related. Is it something to do with cohort?
I want to limit the results in a lateral join, so that it only returns the N most recent matches.
This is my query, but the limit inside the join does not seem to work, as it returns all visitors
select am.id, am.title, ame.event, array_agg(row_to_json(visitors))
from auto_messages am
left join apps a on am.app_id = a.id
left join app_users au on a.id = au.app_id
left join auto_message_events ame on ame.auto_message_id = am.id
left join lateral (
select
id,
name,
avatar,
ame.inserted_at
from visitors v
where v.id = ame.visitor_id
order by ame.inserted_at desc
limit 1
) as visitors on visitors.id = ame.visitor_id
where am.id = '100'
group by am.id, ame.event
I am pretty sure the problem is with ame. That is where the rows are generated. The join to visitors is only picking up additional information.
So, this might solve your problem:
select am.id, am.title, visitors.event, array_agg(row_to_json(visitors))
from auto_messages am left join
apps a
on am.app_id = a.id left join
app_users au
on a.id = au.app_id left join lateral
(select v.id, v.name, v.avatar,
ame.event, ame.inserted_at, ame.auto_message_id
from auto_message_events ame join
visitors v
on v.id = ame.visitor_id
order by ame.inserted_at desc
limit 1
) visitors
on visitors.auto_message_id = am.id
where am.id = '100'
group by am.id, visitors.event;
You also might want to change your select clause, if you only want a subset of columns.
SELECT A.Name, H.Name as BookedBy
FROM dbo.vwAllLoads A WITH (NOEXPAND)
LEFT JOIN dbo.SystemInfo H
ON (A.BookedByUserID = H.GlobalNetUserID)
WHERE ((A.CustomerID IN (SELECT UCR.CustomerID
FROM dbo.UserCustomerRelations UCR
WHERE UCR.UserID IN
(SELECT UserID FROM #PodUsers)
OR H.GlobalUserID IN
(SELECT UserID FROM #PodUsers)))
Now I filter data using above where clause. How can I accomplish the same using joins or in a better way?
Please help
Assuming your query is something like:
select a.*
from a
where A.CustomerID IN (SELECT UCR.CustomerID
FROM dbo.UserCustomerRelations UCR
WHERE UCR.UserID IN (SELECT UserID FROM #PodUsers) OR
UCR.GlobalNetUserID IN (SELECT UserID FROM #PodUsers)
-----------------------------^ was `H`, I'm assuming is `UCR`
)
Then the following should be an equivalent query using joins:
select distinct a.*
from a join
dbo.UserCustomerRelations ucr
on A.CustomerID = ucr.CustomerID join
#PodUsers pu
on ucr.UserId = pu.UserId or ucr.UserId = ucr.GlobalNetUserID = pu.UserId;
The distinct would be unnecessary if you know that the joins do not produce multiple rows
I guess something like this:
INNER JOIN [dbo].[UserCustomerRelations] UCR
ON A.[CustomerID] = UCR.[CustomerID]
INNER JOIN #PodUsers PU
ON UCR.[CustomerID] = PD.[UserID]
OR H.[GlobalNetUserID] = PD.[UserID]
I'm working with some biostats people and of course they love SAS. I have a select statement below that works for testing the presence of certain problems a person can have. It's a binary thing so they either do or they don't. If a person has heart problem and a respiratory problem, then their patientID will be listed twice. How can I add an extra column of a 1 or 0 for every morbidity? So, if I have three problems and they are "HEART", "LUNG" and "UTI", an extra column would be generated that has a 1 or 0 based on the presence of that a person had that problem or not.
I suppose I can use Excel to make it a crosstab, but eventually it will need to be in that format. Below is my SELECT statement. Thanks, folks!
EDITED:
TRANSFORM First(Person.PersonID) AS Morbidity
SELECT Person.PersonID, Person.Age, Person.Sex
FROM tblKentuckyCounties INNER JOIN ((tblComorbidity INNER JOIN comorbidVisits ON tblComorbidity.ID = comorbidVisits.comorbidFK) INNER JOIN (Person INNER JOIN tblComorbidityPerson ON Person.PersonID = tblComorbidityPerson.personID) ON tblComorbidity.ID = tblComorbidityPerson.comorbidityFK) ON tblKentuckyCounties.ID = Person.County
WHERE (((tblComorbidity.comorbidityexplanation)="anxiety and depression" Or (tblComorbidity.comorbidityexplanation)="heart" Or (tblComorbidity.comorbidityexplanation)="hypertension" Or (tblComorbidity.comorbidityexplanation)="pressure sores" Or (tblComorbidity.comorbidityexplanation)="tobacco" Or (tblComorbidity.comorbidityexplanation)="uti"))
GROUP BY Person.PersonID, Person.Age, Person.Sex, tblComorbidity.comorbidityexplanation
PIVOT Person.Race;
This is not tested:
TRANSFORM IIf([c.comorbidityexplanation]=
[c.comorbidityexplanation],1,0) AS Morbidity
SELECT p.PersonID, p.Age, p.Sex, p.Race
FROM tblKentuckyCounties kc
INNER JOIN ((tblComorbidity c
INNER JOIN comorbidVisits cv
ON c.ID = cv.comorbidFK)
INNER JOIN (Person p
INNER JOIN tblComorbidityPerson cp
ON p.PersonID = cp.personID)
ON c.ID = cp.comorbidityFK)
ON kc.ID = p.County
GROUP BY p.PersonID, p.Age, p.Sex, p.Race
PIVOT c.comorbidityexplanation