select
university_cars_video_kroenke.dbo.car_customer.cus_first,
university_cars_video_kroenke.dbo.car_customer.cus_last,
(
select COUNT(university_cars_video_kroenke.dbo.car_customer.cus_id)
from university_cars_video_kroenke.dbo.car_purchases
where university_cars_video_kroenke.dbo.car_customer.cus_id = university_cars_video_kroenke.dbo.car_purchases.cus_id
)
from university_cars_video_kroenke.dbo.car_customer
(edited for clarity)
select
customer.cus_first,
customer.cus_last,
(select
COUNT(customer.cus_id)
from purchases
where customer.cus_id = purchases.cus_id )
from customer
My error message is
Msg 8120, Level 16, State 1, Line 4 Column
'university_cars_video_kroenke.dbo.car_customer.cus_first'
is invalid in the select list because it is not contained
in either an aggregate function or the GROUP BY clause
I just want a count of records the cus_id is the same in both tables.
I just want a count of records the cus_id is the same in both tables.
Something like the following should work.
SELECT
A.cus_id,
count(A.cus_id)
FROM
university_cars_video_kroenke.dbo.car_customer AS A,
university_cars_video_kroenke.dbo.car_purchases AS B
WHERE
A.cus_id = B.cus_id
Related
merge into item_set TARGET
using (select '545934' as product_id_01, 4 as set_sort_no, 15 as article_id,
'Note for this item set' as note, 0 as is_deleted) as SOURCE
on TARGET.set_sort_no = SOURCE.set_sort_no and TARGET.product_id_01 = SOURCE.product_id_01
WHEN MATCHED THEN
UPDATE
SET TARGET.article_id = SOURCE.article_id,
TARGET.note = SOURCE.note,
TARGET.is_deleted = SOURCE.is_deleted,
TARGET.version = TARGET.version
WHEN NOT MATCHED THEN
INSERT (product_id_01, set_sort_no, article_id, note, is_deleted, version)
VALUES (SOURCE.product_id_01, SOURCE.set_sort_no, SOURCE.article_id, SOURCE.note, SOURCE.is_deleted, 3);
I have a query as shown above, I would like to know if it is possible to use multiple values(array of values) instead of the below statement from the query without using a table
(select
'545934' as product_id_01,
4 as set_sort_no, 15 as article_id,
'Note for this item set' as note, 0 as is_deleted) as SOURCE
Thanks in advance.
No.MS SQL Server was not designed to support arrays
I have a table in Athena (presto) with just one column named individuals and this is the type of then column:
array(row(individual_id varchar, ids array(row(type varchar, value varchar, score integer))))
I want to extract value from inside the ids and return them as a new array. As an example:
[{individual_id=B1Q, ids=[{type=H, value=efd3, score=1}, {type=K, value=NpS, score=1}]}, {individual_id=D6n, ids=[{type=A, value=178, score=6}, {type=K, value=NuHV, score=8}]}]
and I want to return
ids
[efd3, NpS, 178, NuHV]
I tried multiple solutions like
select * from "test"
CROSS JOIN UNNEST(individuals.ids.value) AS t(i)
but always return
Expression individuals is not of type ROW
select
array_agg(ids.value)
from test
cross join unnest(test.individuals) t(ind)
cross join unnest(ind.ids) t(ids)
result:
[efd3, NpS, 178, NuHV]
that will return all the id values as one row, which may or may not be what you want
if you want to return an array of individual values by individual_id:
select
ind.individual_id,
array_agg(ids.value)
from test
cross join unnest(test.individuals) t(ind)
cross join unnest(ind.ids) t(ids)
group by
ind.individual_id
i have i would like to create a join over several tables.
table login : I would like to retrieve all the data from login
table logging : calculating the Nb_of_sessions for each db & for each a specific event type by user
table meeting : calculating the Nb_of_meetings for each db & for each user
table live : calculating the Nb_of_live for each db & for each user
I have those queries with the right results :
SELECT db.id,_id as userid,firstname,lastname
FROM "logins"."login",
UNNEST(dbs) AS a1 (db)
SELECT dbid,userid,count(distinct(sessionid)) as no_of_visits,
array_join(array_agg(value.from_url),',') as from_url
FROM "loggings"."logging"
where event='url_event'
group by db.id,userid;
SELECT dbid,userid AS userid,count(*) as nb_interviews,
array_join(array_agg(interviewer),',') as interviewer
FROM "meetings"."meeting"
group by dbid,userid;
SELECT dbid,r1.user._id AS userid,count(_id) as nb_chat
FROM "lives"."live",
UNNEST(users) AS r1 (user)
group by dbid,r1.user._id;
But when i begin to try put it all together, it seems i retrieve bad data (i have only on db retrieved) and it seems not efficient.
select a1.db.id,a._id as userid,a.firstname,a.lastname,count(rl._id) as nb_chat
FROM
"logins"."login" a,
"loggings"."logging" b,
"meetings"."meeting" c,
"lives"."live" d,
UNNEST(dbs) AS a1 (db),
UNNEST(users) AS r1 (user)
where a._id = b.userid AND a._id = c.userid AND a._id = r1.user._id
group by 1,2,3,4
Do you have an idea ?
Regards.
The easiest way is to work with with to structure the subquery and then reference them.
with parameter reference:
You can use WITH to flatten nested queries, or to simplify subqueries.
The WITH clause precedes the SELECT list in a query and defines one or
more subqueries for use within the SELECT query.
Each subquery defines a temporary table, similar to a view definition,
which you can reference in the FROM clause. The tables are used only
when the query runs.
Since you already have working sub queries, the following should work:
with logins as
(
SELECT db.id,_id as userid,firstname,lastname
FROM "logins"."login",
UNNEST(dbs) AS a1 (db)
)
,visits as
(
SELECT dbid,userid,count(distinct(sessionid)) as no_of_visits,
array_join(array_agg(value.from_url),',') as from_url
FROM "loggings"."logging"
where event='url_event'
group by db.id,userid
)
,meetings as
(
SELECT dbid,userid AS userid,count(*) as nb_interviews,
array_join(array_agg(interviewer),',') as interviewer
FROM "meetings"."meeting"
group by dbid,userid
)
,chats as
(
SELECT dbid,r1.user._id AS userid,count(_id) as nb_chat
FROM "lives"."live",
UNNEST(users) AS r1 (user)
group by dbid,r1.user._id
)
select *
from logins l
left join visits v
on l.dbid = v.dbid
and l.userid = v.userid
left join meetings m
on l.dbid = m.dbid
and l.userid = m.userid
left join chats c
on l.dbid = c.dbid
and l.userid = c.userid;
I'm using SQL and windows batch script to download inventory from our POS and then upload it to a 3rd party platform. The file is successfully downloading and uploading, but the 3rd party platform is quite finicky on formatting. Specifically, it won't accept decimal place for the column titled "Quantity".
I've searched and tried various different approaches but can't seem to find one that works. The tricky aspect to this sql is that i had to use a join in order to create a title row and I'm using the format varchar(32) I've posted my sql below, any suggestions?
set nocount ON
SELECT CAST('sku' as VARCHAR(32)) AS sku,
CAST('quantity' as VARCHAR(32)) AS quantity
UNION
SELECT CAST(IM_BARCOD.BARCOD AS
VARCHAR(32)) as sku, case when
IM_INV.QTY_AVAIL > 0 then
CAST(IM_INV.QTY_AVAIL AS VARCHAR(32)) else
CAST(0 as VARCHAR(32)) END as quantity
FROM IM_BARCOD INNER JOIN IM_INV ON
IM_INV.ITEM_NO = IM_BARCOD.ITEM_NO INNER
JOIN IM_PRC ON IM_INV.ITEM_NO =
IM_PRC.ITEM_NO INNER JOIN
IM_ITEM ON IM_INV.ITEM_NO = IM_ITEM.ITEM_NO
UNION
SELECT CAST(IM_BARCOD.BARCOD AS
VARCHAR(32)) as sku, case when
IM_INV_CELL.QTY_AVAIL > 0 then
CAST(IM_INV_CELL.QTY_AVAIL AS VARCHAR(32))
else CAST (0 as VARCHAR (32)) END as
quantity FROM IM_BARCOD INNER JOIN IM_PRC
ON IM_BARCOD.ITEM_NO = IM_PRC.ITEM_NO INNER
JOIN IM_INV_CELL ON IM_BARCOD.ITEM_NO =
IM_INV_CELL.ITEM_NO AND
IM_INV_CELL.DIM_1_UPR=IM_BARCOD.DIM_1_UPR
AND IM_INV_CELL.DIM_2_UPR =
IM_BARCOD.DIM_2_UPR AND
IM_INV_CELL.DIM_3_UPR =IM_BARCOD.DIM_3_UPR
INNER JOIN
IM_ITEM ON IM_BARCOD.ITEM_NO =
IM_ITEM.ITEM_NO
I am running a query with Oracle:
SELECT
c.customer_number,
COUNT(DISTINCT o.ORDER_NUMBER),
COUNT(DISTINCT q.QUOTE_NUMBER)
FROM
Customer c
JOIN Orders o on c.customer_number = o.party_number
JOIN Quote q on c.customer_number = q.account_number
GROUP BY
c.customer_number
This works beautifully and I can get the customer and their order and quote counts.
However, not all customers have orders or quotes but I still want their data. When I use LEFT JOIN I get this error from Oracle:
ORA-24347: Warning of a NULL column in an aggregate function
Seemingly this error is caused by the eventual COUNT(NULL) for customers that are missing orders and/or quotes.
How can I get a COUNT of null values to come out to 0 in this query?
I can do COUNT(DISTINCT NVL(o.ORDER_NUMBER, 0)) but then the counts will come out to 1 if orders/quotes are missing which is no good. Using NVL(o.ORDER_NUMBER, NULL) has the same problem.
Try using inline views:
SELECT
c.customer_number,
o.order_count,
q.quote_count
FROM
customer c,
( SELECT
party_number,
COUNT(DISTINCT order_number) AS order_count
FROM
orders
GROUP BY
party_number
) o,
( SELECT
account_number,
COUNT(DISTINCT quote_number) AS quote_count
FROM
quote
GROUP BY
account_number
) q
WHERE 1=1
AND c.customer_number = o.party_number (+)
AND c.customer_number = q.account_number (+)
;
Sorry, but I'm not working with any databases right now to test this, or to test whatever the ANSI SQL version might be. Just going on memory.