I have tables as below
guides users offers reservations manager_crm_issues
id id id offer_id issuable_id
user_id username guide_id issuable_type issuable_type
What I Would like to extract is
guide.id,
guide.username,
manager_crm_issues.count(issuuable_id)
The issuable_type's distinct values are {Reservation, Offer, Guide}, and it corresponds to issuable_id.
i.e. if issuable_type = 'Reservation' then the issuable_id = reservation.id
Question is, I Would like to count all the issues happened on Guide, and Guide is linked to Offer, Offer is linked to Reservation.
SELECT
a.guideId,
a.guideName,
count(case when cr.issuable_type = 'Reservation' and cr.issuable_id = a.rID THEN cr.id else 0 END),
count(case when co.issuable_type = 'Offer' AND co.issuable_id = a.offerId THEN co.id else 0 END),
count(case when cg.issuable_type = 'Guide' AND cg.issuable_id = a.guideId THEN cg.id else 0 END)
FROM
(SELECT
g.id AS guideId,
u.username AS guideName,
o.id as offerId,
r.id as rId
FROM guides g
INNER JOIN users u on u.id = g.user_id
INNER JOIN offers AS o on o.guide_id = g.id
INNER JOIN reservations AS r on r.offer_id = o.id) a
INNER JOIN manager_crm_issues cg ON cg.id = a.guideId
INNER JOIN manager_crm_issues co ON co.id = a.offerId
INNER JOIN manager_crm_issues cr ON cr.id = a.rId
group by 1,2
I tried to join tables like above, but the outcome seems inaccurate.
Would really appreciate your help.
Don't know if this is related to your issue because you do not say what the issue is but this does not do what you think it does:
count(case
when cr.issuable_type = 'Reservation' and cr.issuable_id = a.rID THEN cr.id
else 0
END),
count counts not nulls so your query will count everything. What you want is
count(case
when cr.issuable_type = 'Reservation' and cr.issuable_id = a.rID THEN cr.id
else null
END),
Related
I pulled person_nbrs that have never had an EventType1 before or after an EventType2. I need to pull person_nbrs that have not had an EventType1 prior to having an EventType2. If they had an EventType1 after an EventType2, than it is to be ignored. Here is my query that pulls person_nbrs that have never had an EventType1 before or after EventType2.
SELECT
person_nbr, enc_nbr, enc_timestamp
FROM
person p
JOIN
patient_encounter pe ON p.person_id = pe.person_id
JOIN
patient_procedure pp ON pe.enc_id = pp.enc_id
WHERE
enc_timestamp >= '20170101'
--EventType2
AND code_id LIKE '2'
-- EventType1
AND person_nbr NOT IN (SELECT person_nbr
FROM person p
JOIN patient_encounter pe ON p.person_id = pe.person_id
JOIN patient_procedure pp ON pe.enc_id = pp.enc_id
WHERE code_id LIKE '1')
GROUP BY
person_nbr, enc_nbr, enc_timestamp
ORDER BY
person_nbr ;
You can do this with aggregation and a HAVING clause:
SELECT p.person_nbr
FROM person p JOIN
patient_encounter pe
ON p.person_id = pe.person_id JOIN
patient_procedure pp
ON pe.enc_id = pp.enc_id
GROUP BY p.person_nbr
HAVING SUM(CASE WHEN pp.code_id = 2 THEN 1 ELSE 0 END) > 0 AND -- has code 2
(MAX(CASE WHEN pp.code_id = 1 THEN pe.timestamp END) IS NULL OR
MAX(CASE WHEN pp.code_id = 1 THEN pe.timestamp END) < MIN(CASE WHEN pp.code_id = 2 THEN pe.timestamp END)
) ;
The HAVING clause has two parts:
The first specifies that the person has a code = 2.
The second specifies one of two conditions. The first is that there is no code = 1. The second alternative is that the latest c = 1 timestamp is less than the earliest code = 2 timestamp.
I am a beginner with SQL so apologise in advance if my terminology / coding is a little off, or maybe way off.
I have two queries which I would like to join into one. The first creating a list of productids which contain two specific processes.
I then want to use these productids in the second query.
Also is below correct?
group by products.productid having (sum(case when processid like 'pick%' then 1 else 0 end) + sum(case when processid like 'pack%' then 1 else 0 end) = 2)
Any help would be much appreciated, hope this makes sense.
SELECT
Products.ProductID
FROM Products
INNER JOIN Categories ON Products.Category = Categories.Category
INNER JOIN Boms ON Products.Product = Boms.Product AND Boms.BomVersion = Products.BomVersion
LEFT OUTER JOIN Products AS Comp ON Boms.Component = Comp.Product
LEFT OUTER JOIN Processes ON Boms.Process = Processes.Process
WHERE
products.active = 1
and Categorys.Categoryid in ('5','20')
group by products.productid
having (sum(case when processid like 'pick%' then 1 else 0 end) + sum(case when processid like 'pack%' then 1 else 0 end) = 2)
order by products.productid
SELECT
Products.ProductID,
Products.productdescription,
Boms.Type As Type,
Comp.ProductId as Component,
Comp.productdescription,
Boms.Quantity,
BomVersions.BomVersionID,
Processes.processid,
Processes.ProcessDescription
FROM Products
INNER JOIN Categories ON Products.Category = Categories.Category
INNER JOIN Boms ON Products.Product = Boms.Product AND Boms.BomVersion = Products.BomVersion
LEFT OUTER JOIN Products AS Comp ON Boms.Component = Comp.Product
LEFT OUTER JOIN Processes ON Boms.Process = Processes.Process
INNER JOIN BomVersions ON Products.BomVersion = BomVersions.BomVersion
WHERE
products.active = 1
order by products.productid, products.type,comp.productid
To combine them you could do the following.
SELECT b.*
FROM
(SELECT Products.ProductID FROM Products INNER JOIN ...) AS a
INNER JOIN
(SELECT Products.ProductID, Products.productdescription, Boms.Type As Type, ...) AS b
ON a.ProductID = b.ProductID
Right now I am collecting a sum of times based on grouping by a part, job, machine, and type.
I would like to have the summed times to be split across multiple columns rather than multiple rows based on the type. How can I do this?
Here is my code
SELECT
m.[machineName]
,pr.[jobNumber]
,p.[partNumber]
,sc.[type]
,SUM(pl.[elapsedTime]) AS elapsedTime
FROM wincc.dbo.productionLog pl
INNER JOIN wincc.dbo.machines m ON pl.[machineId] = m.id
INNER JOIN wincc.dbo.productionRuns pr ON pl.[productionRunId] = pr.id
INNER JOIN wincc.dbo.parts p ON pr.[partId] = p.Id
INNER JOIN wincc.dbo.statusCodes sc ON pl.[statusCodeId] = sc.id
GROUP BY
m.[machineName]
,pr.[jobNumber]
,p.[partNumber]
,sc.[type]
Which produces:
But I want:
Thank you All!
This is a form of table pivoting. Here's one way to do that with conditional aggregation:
SELECT
m.[machineName]
,pr.[jobNumber]
,p.[partNumber]
,SUM(CASE WHEN sc.Type = 'planned downtime' then pl.[elapsedTime] END) AS plannedDT
,SUM(CASE WHEN sc.Type = 'unplanned downtime' then pl.[elapsedTime] END) AS unplannedDT
,SUM(CASE WHEN sc.Type = 'production' then pl.[elapsedTime] END) AS production
,SUM(CASE WHEN sc.Type = 'rework' then pl.[elapsedTime] END) AS rework
FROM wincc.dbo.productionLog pl
INNER JOIN wincc.dbo.machines m ON pl.[machineId] = m.id
INNER JOIN wincc.dbo.productionRuns pr ON pl.[productionRunId] = pr.id
INNER JOIN wincc.dbo.parts p ON pr.[partId] = p.Id
INNER JOIN wincc.dbo.statusCodes sc ON pl.[statusCodeId] = sc.id
GROUP BY
m.[machineName]
,pr.[jobNumber]
,p.[partNumber]
i'm currently running the following query (see below.)
However when i do the same values is returned for multiple rows in totalusers, activeusers and suspendedusers.
However when it comes to total login the values are unique.
Is their a reason why this could be happening and is their a way to solve the problem. If it helps im using the tool sql workben with postgre sql driver.
Cheers
SELECT
company.companyStatus,
company.CompanyId,
company.companyName,
select
count(distinct UserID)
From Users
inner join company
on Users.CompanyID = Company.CompanyId
where Users.Companyid = company.Companyid
as TotalUsers,
select sum(case when userstatusid =2 then 1 else 0 end)
from users
inner join company
on users.companyid = company.companyid
where users.companyid = company.companyid)
as ActiveUsers,
select sum(case when userstatusid = 3 then 1 else 0 end)
from users
inner join company
on users.companyid = company.companyid
where users.companyid = company.companyid)
as SuspendedUsers,
(Select COUNT (distinct usersessionid)
From UserSession
inner join users
on usersession.UserID=users.UserID
where usersession.UserID=users.UserID
and users.companyid= company.CompanyID)
as TotalLogin,
from Company
Its because your TotalUsers, ActiveUsers and SuspendedUsers queries are all using their own (unrestricted) copy of the Company table, whereas your TotalLogin is using the main instance from which you're selecting. This means that the TotalLogin numbers you're seeing are for that particular company, but the other fields are across ALL companies.
Presumably you wanted something more like:
SELECT
company.companyStatus,
company.CompanyId,
company.companyName,
count(distinct u.UserID) TotalUsers,
sum(case when u.userstatusid =2 then 1 else 0 end) ActiveUsers,
sum(case when u.userstatusid = 3 then 1 else 0 end) SuspendedUsers,
count(distinct u.usersessionid) TotalLogin
from Company
inner join Users on Users.CompanyID = Company.CompanyId
The reason is because you have company in the subqueries for those calculations.
I much prefer having table references in the from clause where possible, and you can write this query moving everything to the from clause:
SELECT c.companyStatus, c.CompanyId, c.companyName,
uc.Totalusers, uc.Activeusers, uc.Suspendedusers, ucs.TotalLogin
from Company c left outer join
(select u.companyid,
COUNT(distinct userid) as Totalusers,
SUM(case when userstatusid = 2 then 1 else 0 end) as ActiveUsers,
sum(case when userstatusid = 3 then 1 else 0 end) as Suspendedusers
from users u
group by u.companyid
) uc
uc.companyid = c.companyId left outer join
(select u.companyid, COUNT(distinct usersessionid) as TotalLogin
from UserSession us inner join
users u
on us.UserID = u.UserID
) ucs
on ucs.companyid = c.companyid;
This should also speed up the query because it doesn't have to do the same work multiple times.
I have the following query that joins a bunch of tables.
I'd like to get every record from the INDUSTRY table that has consolidated_industry_id = 1 regardless of whether or not it matches the other tables. I believe this needs to be done with a LEFT JOIN?
SELECT attr.industry_id AS option_id,
attr.industry AS option_name,
uj.ft_job_industry_id,
Avg(CASE
WHEN s.salary > 0 THEN s.salary
END) AS average,
Count(CASE
WHEN s.salary > 0 THEN attr.industry
END) AS count_non_zero,
Count(attr.industry_id) AS count_total
FROM industry attr,
user_job_ft_job uj,
salary_ft_job s,
user_job_ft_job ut,
[user] u,
user_education_mba_school mba
WHERE u.user_id = uj.user_id
AND u.user_id = ut.user_id
AND u.user_id = mba.user_id
AND uj.ft_job_industry_id = attr.industry_id
AND uj.user_job_ft_job_id = s.user_job_id
AND u.include_in_student_site_results = 1
AND u.site_instance_id IN ( 1 )
AND uj.job_type_id = 1
AND attr.consolidated_industry_id = 1
AND mba.mba_graduation_year_id NOT IN ( 8, 9 )
AND uj.admin_approved = 1
GROUP BY attr.industry_id,
attr.industry,
uj.ft_job_industry_id
This returns only one row, but there are 8 matches in the industry table where consolidated_industry_id = 1.
--- EDIT: The real question here is, how do I combine the LEFT JOIN with the regular joins?
Use left join for tables that may miss a corresponding record. Put the conditions for each table in the on clause of the join, not in the where, as that would in effect make them inner joins anyway. Something like:
select
attr.industry_id AS option_id, attr.industry AS option_name,
uj.ft_job_industry_id, AVG(CASE WHEN s.salary > 0 THEN s.salary END) AS average,
COUNT(CASE WHEN s.salary > 0 THEN attr.industry END) as count_non_zero,
COUNT(attr.industry_id) as count_total
from
industry attr
left join user_job_ft_job uj on uj.ft_job_industry_id = attr.industry_id and uj.job_type_id = 1 and uj.admin_approved = 1
left join salary_ft_job s on uj.user_job_ft_job_id = s.user_job_id
left join [user] u on u.user_id = uj.user_id and u.include_in_student_site_results = 1 and u.site_instance_id IN (1)
left join user_job_ft_job ut on u.user_id = ut.user_id
left join user_education_mba_school mba on u.user_id = mba.user_id and mba.mba_graduation_year_id not in (8, 9)
where
attr.consolidated_industry_id = 1
group by
attr.industry_id, attr.industry, uj.ft_job_industry_id
If you have any tables that you know always have a corresponding record, just use innser join for that.