I am trying to find Retail Category node level at POS database, in AOS table ECORESCATEGORY has field LEVEL_ with correct values, but on POS, this field is just showing zero value for all items.
How can i make sure that this field gets synced with AOS?
I tried jobs N-1040 and N-1100, but this field is not updated.
Following is SQL query i use:
select distinct Category, it.ItemID, MAX(IName.Name) Name, isnull(Level_,0) -1
from InventTable it Inner Join
(
Select Distinct PRODUCT, category, CATEGORYHIERARCHY
From EcoResProductCategory
Where CATEGORYHIERARCHY In (select Top 1 CATEGORYHIERARCHY
from EcoResCategoryHIERARCHYRole
where NAMEDCATEGORYHIERARCHYROLE = 4 --Retail
)
) pcat on it.PRODUCT = pcat.PRODUCT Left Join
EcoResCategory cat on pcat.category = cat.recid Left Join
EcoResProductTranslation IName on it.PRODUCT = iname.PRODUCT
group by Category, it.ItemID, isnull(Level_,0) -1
Related
I'm very new to learning SQL, I apologize if my question isn't completely accurate.
The question I'm trying to answer with this query is "What is the most popular music genre in each country?" I've had to use a subquery and it works, but I found that for a few countries in the table, more than one genre has the MAX value. I'm stuck with how to edit my query so that all genres with the max value show in the results. Here is my code, using DB Browser for SQLite:
SELECT BillingCountry AS Country , name AS Genre , MAX(genre_count) AS Purchases
FROM (
SELECT i.BillingCountry, g.name, COUNT(g.genreid) AS genre_count
FROM Invoice i
JOIN InvoiceLine il
ON il.InvoiceId = i.InvoiceId
JOIN TRACK t
ON il.trackid = t.TrackId
JOIN Genre g
ON t.genreid = g.GenreId
GROUP BY 1,2
) sub
GROUP BY 1
Here is an example of the result:
| Country | Genre |Purchase|
|---------|-------|--------|
|Agrentina| Punk | 9 |
|Australia| Rock | 22 |
BUT in running just the subquery to COUNT the purchases, Argentina has two Genres with 9 Purchases (the max number for that country). How do I adjust my query to include both and not just the first one in the row?
You can do it with RANK() window function:
SELECT BillingCountry, name, genre_count
FROM (
SELECT i.BillingCountry, g.name, COUNT(*) AS genre_count,
RANK() OVER (PARTITION BY i.BillingCountry ORDER BY COUNT(*) DESC) rnk
FROM Invoice i
INNER JOIN InvoiceLine il ON il.InvoiceId = i.InvoiceId
INNER JOIN TRACK t ON il.trackid = t.TrackId
INNER JOIN Genre g ON t.genreid = g.GenreId
GROUP BY i.BillingCountry, g.name
)
WHERE rnk = 1
This will return the ties in separate rows.
If you want 1 row for each country, you could also use GROUP_CONCAT():
SELECT BillingCountry, GROUP_CONCAT(name) AS name, MAX(genre_count) AS genre_count
FROM (
SELECT i.BillingCountry, g.name, COUNT(*) AS genre_count,
RANK() OVER (PARTITION BY i.BillingCountry ORDER BY COUNT(*) DESC) rnk
FROM Invoice i
INNER JOIN InvoiceLine il ON il.InvoiceId = i.InvoiceId
INNER JOIN TRACK t ON il.trackid = t.TrackId
INNER JOIN Genre g ON t.genreid = g.GenreId
GROUP BY i.BillingCountry, g.name
)
WHERE rnk = 1
GROUP BY BillingCountry
I have three tables that I would like to select from
Table 1 has a bunch of static information about a user like their idnumber, name, registration date
Table 2 has the idnumber of the user, course number, and the date they registered for the course
Table 3 has the course number, and the title of the course
I am trying to use one query that will select the columns mentioned in table 1, with the most recent course they registered (name and date registered) as well as their first course registered (name and date registered)
Here is what I came up with
SELECT u.idst, u.userid, u.firstname, u.lastname, u.email, u.register_date,
MIN(l.date_inscr) as mindate, MAX(l.date_inscr) as maxdate, lc.coursename
FROM table1 u,table3 lc
LEFT JOIN table2 l
ON l.idCourse = lc.idCourse
WHERE u.idst = 12787
AND u.idst = l.idUser
And this gives me everything i need, and the dates are correct but I have no idea how to display BOTH of the names of courses. The most recent and the first.
And help would be great.
Thanks!!!
You can get your desired results by generating the min/max date_inscr for each user in a derived table and then joining that twice to table2 and table3, once to get each course name:
SELECT u.idst, u.userid, u.firstname, u.lastname, u.email, u.register_date,
l.mindate, lc1.coursename as first_course,
l.maxdate, lc2.coursename as latest_course
FROM table1 u
LEFT JOIN (SELECT idUser, MIN(date_inscr) AS mindate, MAX(date_inscr) AS maxdate
FROM table2
WHERE idUser = 12787
) l ON l.idUser = u.idst
LEFT JOIN table2 l1 ON l1.idUser = l.idUser AND l1.date_inscr = l.mindate
LEFT JOIN table3 lc1 ON lc1.idCourse = l1.idCourse
LEFT JOIN table2 l2 ON l2.idUser = l.idUser AND l2.date_inscr = l.maxdate
LEFT JOIN table3 lc2 ON lc2.idCourse = l2.idCourse
As #BillKarwin pointed out, this is more easily done using two separate queries.
I select all the records from a table LABELS, I and I use also INNER JOIN to get with my SELECT some other data which exist in other tables. So my query is:
SELECT LABELS.oldLabel, LABELS.label, LABELS.version, LABELS.description, LABELS.type, LABELS.cutter, LABELS.valid, LABELS.dateCreated, LABELS.dateModified, CUSTOMERS.name AS customer, CUSTOMERS.id, SUPPLIERS.name AS supplier FROM LABELS
INNER JOIN CUSTOMERS
ON LABELS.customer = CUSTOMERS.id
INNER JOIN SUPPLIERS
ON LABELS.supplier = SUPPLIERS.id
GROUP BY LABELS.oldLabel, LABELS.label, LABELS.version, LABELS.description, LABELS.type, LABELS.cutter, LABELS.customer, LABELS.valid, CUSTOMERS.name , CUSTOMERS.id, SUPPLIERS.name
The size of the records in the table LABELS is 3169. However, the above statement returns 3089. 80 records are missing.
Is there a way to get all the records, except from the above select in order to see which are these records and figure out why they are not selected ?
I tried:
Select * FROM labels where not exists( the_above_select)
But I don't get any records..
SELECT * from Labels WHERE label NOT IN
(SELECT label from Labels INNER JOIN CUSTOMERS
ON LABELS.customer = CUSTOMERS.id
INNER JOIN SUPPLIERS
ON LABELS.supplier = SUPPLIERS.id)
I have two tables named "likes" and "comments" and I want to have a table which has counts of likes and comments for each specific user, I wrote following query in SQLite but result is not true for all users, count values for users in both tables are multiple of number of likes and number of comments.
SELECT
likes.liker_name, likes.liker_id, likes.profile_picture ,
COUNT(comments.commenter_name) AS comment_count, COUNT( likes.liker_id) AS like_count
FROM likes
LEFT JOIN comments
ON likes.liker_name = comments.commenter_name
GROUP BY
likes.liker_name
ORDER BY
COUNT( likes.liker_id) DESC
How can I get correct value of count for users that exist in both tables?
The problem is: Some users have comments but no likes, others have likes but no comments, some have both and some have none. Therefore I suggest using a union query and summing that one again
SELECT
u.name, u.id, u.profile_picture,
SUM(u.like_count) AS like_count, SUM(u.comment_count) AS comment_count
FROM (
SELECT
liker_name AS name, liker_id AS id, profile_picture,
COUNT(*) AS like_count, 0 AS comment_count
FROM
likes
GROUP BY
liker_name, liker_id, profile_picture
UNION ALL
SELECT
commenter_name AS name, commenter_id AS id, profile_picture,
0 AS like_count, COUNT(*) AS comment_count
FROM
comments
GROUP BY
commenter_name, commenter_id, profile_picture
) AS u
GROUP BY
u.name, u.id, u.profile_picture
If you have a separate user table you could also left join the likes count and the comments count subqueries to the user table
SELECT
u.name, u.id, u.profile_picture, l.cnt AS like_count, c.cnt AS comment_count
FROM
users u
LEFT JOIN
(SELECT liker_id, COUNT(*) AS cnt
FROM likes
GROUP BY liker_id
) AS l
ON u.user_id = l.liker_id
LEFT JOIN
(SELECT commenter_id, COUNT(*) AS cnt
FROM comments
GROUP BY commenter_id
) AS c
ON u.user_id = c.commenter_id
WHERE l.cnt > 0 OR c.cnt > 0
No matter how you make it, you must count the comments and the likes in separate subqueries. If you count after joining you are summing on a result where records might be duplicated (the ones on the left side) and you are getting the wrong count.
I'm having difficulty with a query which displays records according to their fill rate.
For instance, a vacancy can have no bookings or some bookings. If a vacancy has bookings, they can be in the form of 'active [1]', 'pending [0]'. The query I have written so far works if the vacancy has booking records but I can't get it to work if it doesn't have booking records.
My query (which works) for vacancies with a booking is as follows:-
SELECT v.*, j.job_category_name, bu.business_unit_name
FROM vacancy v
INNER JOIN job_category j ON j.job_category_id = v.job_category_id
INNER JOIN business_unit bu ON bu.business_unit_id = v.business_unit_id
INNER JOIN booking b ON b.vacancy_id = v.vacancy_id
INNER JOIN booking_status bs ON bs.id = b.booking_status_id
WHERE
v.vacancy_status <> 'revoked' AND
v.vacancy_reference <> 'auto-generated booking' AND
v.business_unit_id IN (series of primary keys) AND
(bs.booking_status_type_id = 1 OR bs.booking_status_type_id = 2)
GROUP BY v.vacancy_id
HAVING v.vacancy_limit > count(b.booking_id)
ORDER BY v.vacancy_id DESC
I thought by changing the join of b and bs to LEFT JOIN would have worked, but it hasn't.
Any ideas?
Without a copy of your schema to work from, it's difficult to tell exactly, but when you changed booking and bookingstatus to LEFT JOINs, did you also modify your WHERE clause so that it read something like:
WHERE
v.vacancy_status <> 'revoked' AND
v.vacancy_reference <> 'auto-generated booking' AND
v.business_unit_id IN (series of primary keys) AND
(ISNULL(bs.booking_status_type_id, 1) = 1 OR ISNULL(bs.booking_status_type_id, 2) = 2)
i.e. Ensured that the full WHERE clause would be satisfied, thus not stripping out the records where all the values for columns from booking and bookingstatus were NULL?
Try LEFT OUTER JOIN for the tables for which the joins may return 0 matches.
For eg:- in your case have LEFT OUTER JOIN for b and bs and check