I have the following subquery.
In the end i want to count for every agent for all this users the controllers.
So in the substring i count the controllers for all the agent his users and
then i want to sum them up.
The substring itself is running, however i get this error when i run the complete query
ERROR: missing FROM-clause entry for table "sub"
LINE 2: a.id as a_id, SUM(sub.c_count ) as c_count,
SELECT
a.id as a_id, SUM(sub.c_count ) AS c_count,
(
SELECT u.id, COUNT(c.user_id) AS c_amount
FROM users u
JOIN controllers c ON (c.user_id = u.id)
GROUP BY
u.id
)sub
from agents a;
You are getting this error because the subquery which you have aliased as sub returns not only multiple records, but also multiple values per record, but it appears in the SELECT list. Generally, only scalars (single values) or subqueries which return a single value can appear in the SELECT list. You have two options, you can either modify sub to return a single value, or you can try to join this subauery to the outer query. Given that you mentioned the subquery is supposed to do some aggregation for each user or agent, my guess is that joining is the answer. In the query below I join sub to the outer query on the agent ID matching the user ID from sub.
SELECT a.id AS a_id,
COALESCE(sub.c_amount, 0) AS c_count
FROM agents a
LEFT JOIN
(
SELECT u.id, COUNT(c.user_id) AS c_amount
FROM users u
INNER JOIN controllers c
ON c.user_id = u.id
GROUP BY u.id
) sub
ON a.id = sub.id
Related
There is an example request in which there are several joins.
SELECT DISTINCT ON(a.id_1) 1, a.name, b.task, c.created_at
FROM a
INNER JOIN b ON a.id_2 = b.id
INNER JOIN c ON a.ID_2 = c.id
WHERE a.deleted_at IS NULL
ORDER BY a.id_1 desc
In this case, the query will work, sorting by unique values of id_1 will take place. But I need to sort by the column a.name. In this case, postresql will swear with the words ERROR: SELECT DISTINCT ON expressions must match initial ORDER BY expressions.
The following query can serve as a solution to the problem:
SELECT *
FROM(
SELECT DISTINCT ON(a.id_1) a.name, b.task, c.created_at
FROM a
INNER JOIN b ON a.id_2 = b.id
INNER JOIN c ON a.ID_2 = c.id
WHERE a.deleted_at IS NULL
)
ORDER_BY a.name desc
But in reality the database is very large and such a query is not optimal. Are there other ways to sort by the selected column while keeping one uniqueness?
I am attempting to run this query
SELECT u.*, string_agg(CAST(uar.roleid AS VARCHAR(100)), ',') AS roleids, string_agg(CAST(r.role AS VARCHAR(100)), ',') AS systemroles
FROM idpro.users AS u
INNER JOIN idpro.userapplicationroles AS uar ON u.id = uar.userid
INNER JOIN idpro.roles AS r ON r.id = uar.roleid
GROUP BY u.id, uar.applicationid
HAVING u.organizationid = '77777777-f892-4f4a-8328-c31df32bd6ba'
AND uar.applicationid = 'd88fbf05-c048-4697-8bf3-036f39897183'
AND (u.statusid = '7f9f0b75-44b7-4216-bf2a-03abc47dcff8')
AND uar.roleid IN ('cc9ada1c-fa21-400b-be98-c563ebb65a9c','de087148-4788-43da-89e2-dd7dff097735');
However, I'm getting an error stating that
ERROR: column "uar.roleid" must appear in the GROUP BY clause or be used in an aggregate function
LINE 9: AND uar.roleid IN ('cc9ada1c-fa21-400b-be98-c563ebb65a9c','...
string_agg() IS an aggregate function, is it not? My intent, if it isn't obvious, is to return each user record with the roleids and rolenames in comma-delimited lists. If I am doing everything wrong, could you please point me in the right direction?
You are filtering the data, so a WHERE clause would be needed. This tutorial is worth reading.
SELECT u.*,
string_agg(CAST(uar.roleid AS VARCHAR(100)), ',') AS roleids,
string_agg(CAST(r.role AS VARCHAR(100)), ',') AS systemroles
FROM idpro.users AS u
INNER JOIN idpro.userapplicationroles AS uar ON u.id = uar.userid
INNER JOIN idpro.roles AS r ON r.id = uar.roleid
WHERE u.organizationid = '77777777-f892-4f4a-8328-c31df32bd6ba'
AND uar.applicationid = 'd88fbf05-c048-4697-8bf3-036f39897183'
AND (u.statusid = '7f9f0b75-44b7-4216-bf2a-03abc47dcff8')
AND uar.roleid IN ('cc9ada1c-fa21-400b-be98-c563ebb65a9c','de087148-4788-43da-89e2-dd7dff097735');
GROUP BY u.id, uar.applicationid
The HAVING clause is helpful for filtering the aggregated values or the groups.
Since you are grouping by u.id, the table primary key you have access to every column of the u table. You can either use a where clause or a having clause.
For uar.applicationid, it is part of the group by so you can also use either a where or a having.
uar.roleid is not part of the group by clause, so to be usable in the having clause, you would have to consider the aggregated value.
The following example filters out rows whose aggregated length is more than 10 chars.
HAVING length(string_agg(CAST(uar.roleid AS VARCHAR(100)), ',')) > 10
A more common usage, on numerical field, is to filter out if the number of aggregated rows is less than a threshold (having count(*) > 2) or a sum of some kind (having sum(vacation_days) > 21)
I'm trying to get the sum of the total time that was spent sending all emails within a campaign.
Because of the joins in my query I end up with the 'processing_time' column duplicated over many rows. So running sum(s.processing_time) as send_time will always over represent how long it took to run.
select
c.id,
c.sender,
c.subject,
count(*) as total_items,
count(distinct s.id) as sends,
sum(s.processing_time) as send_time,
from campaigns c
left join sends s on c.id = s.campaigns_id
left join opens o on s.id = o.sends_id
group by c.id;
I'd ideally like to do something like sum(s.processing_time when distinct s.id) but I can't quite work out how to achieve that.
I have made other attempts using case but I always run into the same issue, I need to get the distinct rows based on the ID column, but work with another column.
Since you want statistics related to distinct s.id as well as c.id, group by both columns. Collect the (intermediate) data that you need,
and use this table as the inner table in a nested sub-select query.
In the outer select, group by c.id alone.
Since the inner select groups by s.id, values which are unique per s.id will not get double-counted when you sum/group by c.id.
SELECT id
, sender
, subject
, sum(total_items) as total_items
, sum(sends) as sends
, sum(processing_time) as send_time
FROM (
SELECT
c.id
, s.id as sid
, count(*) as total_items
, 1 as sends
, s.processing_time
, c.sender
, c.subject
FROM campaigns c
LEFT JOIN sends s on c.id = s.campaigns_id
LEFT JOIN opens o on s.id = o.sends_id
GROUP BY c.id, c.sender, c.subject, s.processing_time, s.id) t
GROUP BY id, sender, subject
ORDER BY id
Since the final table includes sender and subject, you'll need to group by these columns as well to avoid an error such as:
ERROR: column "c.sender" must appear in the GROUP BY clause or be used in an aggregate function
LINE 14: , c.sender
I have two table a and b.
I want to update the row in table a that is the most recent insert for each id from the earliest insert in table b where a.id = b.id
I've been trying to use an update statement with a sub select in the from.
If I execute the sub query on its own it returns x number of rows, however when I execute the whole update statement it updated y number of rows.
update a
set title = b.title
created_at = b.created_at
from
(
select
e.id,e.title,e.created_at
from
(
select
l.id,
l.title,
l.created_at
l.t_insert
from b l
left join b r
l.id = r.id and l.t_insert > r.t_insert
) e
join
(
select
l.id,
l.title,
l.created_at,
l.t_insert
from a l
left join a r on l.report_id = r.report_id and l.t_insert <
r.t_insert
) f
)
where
a.id=b.id
I want the same number of rows to be updated as returned in the sub select query in the from.
In this case, having fewer rows updated than returned by the subquery could be because one row id is returned more than once in the subquery. If that happens, the update statement will still only update the row once. I'm assuming the statement you've provided is not exactly what you're running, but you should check that the subquery is not providing duplicates in the id field of the subquery (either using DISTINCT or GROUP BY or by double checking your JOIN conditions.
I have a difficulty dealing with a SQL query. I use PostgreSQL.
The query says: Show the customers that have done at least an order that contains products from 3 different categories. The result will be 2 columns, CustomerID, and the amount of orders. I have written this code but I don't think it's correct.
select SalesOrderHeader.CustomerID,
count(SalesOrderHeader.SalesOrderID) AS amount_of_orders
from SalesOrderHeader
inner join SalesOrderDetail on
(SalesOrderHeader.SalesOrderID=SalesOrderDetail.SalesOrderID)
inner join Product on
(SalesOrderDetail.ProductID=Product.ProductID)
where SalesOrderDetail.SalesOrderDetailID in
(select DISTINCT count(ProductCategoryID)
from Product
group by ProductCategoryID
having count(DISTINCT ProductCategoryID)>=3)
group by SalesOrderHeader.CustomerID;
Here are the database tables needed for the query:
where SalesOrderDetail.SalesOrderDetailID in
(select DISTINCT count(ProductCategoryID)
Is never going to give you a result as an ID (SalesOrderDetailID) will never logically match a COUNT (count(ProductCategoryID)).
This should get you the output I think you want.
SELECT soh.CustomerID, COUNT(soh.SalesOrderID) AS amount_of_orders
FROM SalesOrderHeader soh
INNER JOIN SalesOrderDetail sod ON soh.SalesOrderID = sod.SalesOrderID
INNER JOIN Product p ON sod.ProductID = p.ProductID
HAVING COUNT(DISTINCT p.ProductCategoryID) >= 3
GROUP BY soh.CustomerID
Try this :
select CustomerID,count(*) as amount_of_order from
SalesOrder join
(
select SalesOrderID,count(distinct ProductCategoryID) CategoryCount
from SalesOrderDetail JOIN Product using (ProductId)
group by 1
) CatCount using (SalesOrderId)
group by 1
having bool_or(CategoryCount>=3) -- At least on CategoryCount>=3