I have two tables and I want to put them together and dont want to get the same id, instead I want to have the rows with the value and not with the null values - if there is an id with values.
This is my query
(SELECT users_antworten.user,
users_antworten.antwort,
profilfragen.id,
profilfragen.frage,
profilfragen.status,
profilfragen.aktiviert
FROM users_antworten
right JOIN profilfragen ON users_antworten.frage = NULL
WHERE profilfragen.aktiviert = 1
group by profilfragen.id
)
UNION
(SELECT users_antworten.user,
users_antworten.antwort,
profilfragen.id,
profilfragen.frage,
profilfragen.status,
profilfragen.aktiviert
FROM users_antworten
LEFT JOIN profilfragen ON users_antworten.frage = profilfragen.id
WHERE profilfragen.aktiviert = 1 AND users_antworten.user = 6
group by profilfragen.id
)
Thank you!
Finally after hours :-) I've got it:
(select null as user,
null as antwort,
p.id,
p.frage,
p.status,
p.aktiviert
FROM profilfragen p
WHERE not exists
( SELECT null
FROM users_antworten u
WHERE u.frage = p.id AND u.user=6
)
)
UNION
(SELECT u.user,
u.antwort,
p.id,
p.frage,
p.status,
p.aktiviert
FROM users_antworten u left join profilfragen p on p.id = u.frage WHERE u.user= :id
)
Related
Please check the below code.
SELECT
`order`.idorder
, order_status_code.idorder_status_code
, order_status_code.order_status_code
, user.iduser
, `order`.required_delivery_date
, `order`.cancel
, `order`.date_created
, `order`.last_updated
, COUNT(order_item.idorder_item)
from
`order`
INNER JOIN order_status_code
ON `order`.idorder_status_code = order_status_code.idorder_status_code
INNER JOIN user
ON `order`.iduser = user.iduser
INNER JOIN order_item
ON order_item.idorder = `order`.`idorder`
WHERE
`order`.iduser = 1
In here, I want the COUNT(order_item.idorder_item) to return the number of items under the idorder. In other words, if I run that SQL Part along, that would be like below
SELECT
COUNT(`idorder_item`)
from
order_item
where
idorder = 1
How can I get this done in my main query?
SELECT `order`.idorder,
order_status_code.idorder_status_code,
order_status_code.order_status_code,
user.iduser,
`order`.required_delivery_date,
`order`.cancel,
`order`.date_created,
`order`.last_updated,
COUNT(order_item.idorder_item),
(SELECT COUNT(`idorder_item`)
from order_item
where idorder=1) as count_idorder_item
from `order`
INNER JOIN order_status_code ON `order`.idorder_status_code = order_status_code.idorder_status_code
INNER JOIN user ON `order`.iduser = user.iduser
INNER JOIN order_item ON order_item.idorder = `order`.`idorder`
WHERE `order`.iduser= 1
I'm not sure how to make the following SQL query more efficient. Right now, the query is taking 8 - 12 seconds on a pretty fast server, but that's not close to fast enough for a Website when users are trying to load a page with this code on it. It's looking through tables with many rows, for instance the "Post" table has 717,873 rows. Basically, the query lists all Posts related to what the user is following (newest to oldest).
Is there a way to make it faster by only getting the last 20 results total based on PostTimeOrder?
Any help would be much appreciated or insight on anything that can be done to improve this situation. Thank you.
Here's the full SQL query (lots of nesting):
SELECT DISTINCT p.Id, UNIX_TIMESTAMP(p.PostCreationTime) AS PostCreationTime, p.Content AS Content, p.Bu AS Bu, p.Se AS Se, UNIX_TIMESTAMP(p.PostCreationTime) AS PostTimeOrder
FROM Post p
WHERE (p.Id IN (SELECT pc.PostId
FROM PostCreator pc
WHERE (pc.UserId IN (SELECT uf.FollowedId
FROM UserFollowing uf
WHERE uf.FollowingId = '100')
OR pc.UserId = '100')
))
OR (p.Id IN (SELECT pum.PostId
FROM PostUserMentions pum
WHERE (pum.UserId IN (SELECT uf.FollowedId
FROM UserFollowing uf
WHERE uf.FollowingId = '100')
OR pum.UserId = '100')
))
OR (p.Id IN (SELECT ssp.PostId
FROM SStreamPost ssp
WHERE (ssp.SStreamId IN (SELECT ssf.SStreamId
FROM SStreamFollowing ssf
WHERE ssf.UserId = '100'))
))
OR (p.Id IN (SELECT psm.PostId
FROM PostSMentions psm
WHERE (psm.StockId IN (SELECT sf.StockId
FROM StockFollowing sf
WHERE sf.UserId = '100' ))
))
UNION ALL
SELECT DISTINCT p.Id AS Id, UNIX_TIMESTAMP(p.PostCreationTime) AS PostCreationTime, p.Content AS Content, p.Bu AS Bu, p.Se AS Se, UNIX_TIMESTAMP(upe.PostEchoTime) AS PostTimeOrder
FROM Post p
INNER JOIN UserPostE upe
on p.Id = upe.PostId
INNER JOIN UserFollowing uf
on (upe.UserId = uf.FollowedId AND (uf.FollowingId = '100' OR upe.UserId = '100'))
ORDER BY PostTimeOrder DESC;
Changing your p.ID in (...) predicates to existence predicates with correlated subqueries may help. Also since both halves of your union all query are pulling from the Post table and possibly returning nearly identical records you might be able to combine the two into one query by left outer joining to UserPostE and adding upe.PostID is not null as an OR condition in the WHERE clause. UserFollowing will still inner join to UPE. If you want the same Post record twice once with upe.PostEchoTime and once with p.PostCreationTime as the PostTimeOrder you'll need keep the UNION ALL
SELECT
DISTINCT -- <<=- May not be needed
p.Id
, UNIX_TIMESTAMP(p.PostCreationTime) AS PostCreationTime
, p.Content AS Content
, p.Bu AS Bu
, p.Se AS Se
, UNIX_TIMESTAMP(coalesce( upe.PostEchoTime
, p.PostCreationTime)) AS PostTimeOrder
FROM Post p
LEFT JOIN UserPostE upe
INNER JOIN UserFollowing uf
on (upe.UserId = uf.FollowedId AND
(uf.FollowingId = '100' OR
upe.UserId = '100'))
on p.Id = upe.PostId
WHERE upe.PostID is not null
or exists (SELECT 1
FROM PostCreator pc
WHERE pc.PostId = p.ID
and pc.UserId = '100'
or exists (SELECT 1
FROM UserFollowing uf
WHERE uf.FollowedId = pc.UserID
and uf.FollowingId = '100')
)
OR exists (SELECT 1
FROM PostUserMentions pum
WHERE pum.PostId = p.ID
and pum.UserId = '100'
or exists (SELECT 1
FROM UserFollowing uf
WHERE uf.FollowedId = pum.UserId
and uf.FollowingId = '100')
)
OR exists (SELECT 1
FROM SStreamPost ssp
WHERE ssp.PostId = p.ID
and exists (SELECT 1
FROM SStreamFollowing ssf
WHERE ssf.SStreamId = ssp.SStreamId
and ssf.UserId = '100')
)
OR exists (SELECT 1
FROM PostSMentions psm
WHERE psm.PostId = p.ID
and exists (SELECT
FROM StockFollowing sf
WHERE sf.StockId = psm.StockId
and sf.UserId = '100' )
)
ORDER BY PostTimeOrder DESC
The from section could alternatively be rewritten to also use an existence clause with a correlated sub query:
FROM Post p
LEFT JOIN UserPostE upe
on p.Id = upe.PostId
and ( upe.UserId = '100'
or exists (select 1
from UserFollowing uf
where uf.FollwedID = upe.UserID
and uf.FollowingId = '100'))
Turn IN ( SELECT ... ) into a JOIN .. ON ... (see below)
Turn OR into UNION (see below)
Some the tables are many:many mappings? Such as SStreamFollowing? Follow the tips in http://mysql.rjweb.org/doc.php/index_cookbook_mysql#many_to_many_mapping_table
Example of IN:
SELECT ssp.PostId
FROM SStreamPost ssp
WHERE (ssp.SStreamId IN (
SELECT ssf.SStreamId
FROM SStreamFollowing ssf
WHERE ssf.UserId = '100' ))
-->
SELECT ssp.PostId
FROM SStreamPost ssp
JOIN SStreamFollowing ssf ON ssp.SStreamId = ssf.SStreamId
WHERE ssf.UserId = '100'
The big WHERE with all the INs becomes something like
JOIN ( ( SELECT pc.PostId AS id ... )
UNION ( SELECT pum.PostId ... )
UNION ( SELECT ssp.PostId ... )
UNION ( SELECT psm.PostId ... ) )
Get what you can done of that those suggestions, then come back for more advice if you still need it. And bring SHOW CREATE TABLE with you.
I want to use the default search and pagination in yii2. But the query is complex and I don't know how can I add it to the search model! This is the query:
SELECT p.*,po_sum,rpo_sum,so_sum
FROMproduct p
LEFT JOIN (
SELECT id,product_id , IF(sum(quantity) IS NULL, 0, sum(quantity)) AS po_sum
FROM purchase_order_products inner join purchase_order on purchase_order.id = purchase_order_products.purchase_order_id
Where purchase_order.status = 'Approved'
GROUP BY product_id )
subcount ON p.id = subcount.product_id
LEFT JOIN (
SELECT id,product_id , sum(quantity) AS rpo_sum
FROM return_purchase_order_products inner join return_purchase_order on return_purchase_order.id = return_purchase_order_products.purchase_order_id Where return_purchase_order.status = 'Approved'
GROUP BY product_id )
subcount2 ON p.id = subcount2.product_id
LEFT JOIN (
SELECT product_id , sum(quantity_ordered) AS so_sum
FROM sales_order_item inner join sales_order on sales_order.id = sales_order_item.sales_order_id Where sales_order.order_status = 'complete'
GROUP BY product_id )
subcount3 ON p.id = subcount3.product_id
order by po_sum DESC,rpo_sum DESC
Any help?
If you use MySql >= 5.7.7 the easiest way is to create a view with that query and use it in the tableName method.
You need that version of MySql because you cant use subquery in from clause during view creation in previous versions.
I have a problem with my SQL join query. I have looked up other suggested answers and tried to apply it to my query, but it doesn't seem to be working.
I have this query:
SELECT SUM(p.quantity)
FROM stocktake_scans p
LEFT JOIN (
SELECT stocktake_area_id
FROM stocktake_areas
WHERE stocktake_id =8592 AND area_checked = 1
)d ON d.stocktake_area_id = p.stocktake_area_id
LEFT JOIN (
SELECT user_id
FROM stocktake_scan_edit
WHERE user_id =46521
)e ON e.user_id = p.stocktake_staff_id
WHERE p.stocktake_staff_id = 46521
And it gives me a result of 42, while I should get only 6. What is missing from the query?
I think you may have extra records with the same ID in your joined table that is where you are getting multiple rows returned from which is then calculating wrong in your sum, please try the below.
SELECT SUM(p.quantity) FROM stocktake_scans p LEFT JOIN ( SELECT distinct stocktake_area_id FROM stocktake_areas WHERE stocktake_id =8592 AND area_checked = 1 )d ON d.stocktake_area_id = p.stocktake_area_id LEFT JOIN ( SELECT distinct user_id FROM stocktake_scan_edit WHERE user_id =46521 )e ON e.user_id = p.stocktake_staff_id WHERE p.stocktake_staff_id = 46521
Hi I want to filter logs using MySQL with a list of trackings.
Every log belongs to a server,
Every tracking belongs to a server and have 0..N patterns
Every pattern belongs to a tracking
I have 3 tables :
logs : | id | ip | url | server_id | ...
tracking : | id | server_id | name | other fields...
pattern : | id | tracking_id | pattern |
I want to count logs that match tracking for a specific server my problem is that my query mix up tracking that have pattern and those that don't.
SQL Fiddle : http://sqlfiddle.com/#!2/f11b1/2
SELECT COUNT(DISTINCT logs.ip), tr.name
FROM `logs`
INNER JOIN `trackings` as tr ON
( tr.server_id = logs.server_id )
AND -- OTHER conditions between log and tracking
LEFT JOIN `patterns` as pt ON
( pt.tracking_id = tr.id )
AND (logs.url LIKE pt.pattern )
GROUP BY tr.id
My problem is on the second join, if I use INNER JOIN patterns as pt ON I get correct results but only on trackings that have some patterns,
If I use LEFT JOIN patterns as pt ON I get all tracking but with a false count (I get the result of SELECT COUNT(DISTINCT logs.ip) FROM logs )
EDIT
I Can get the correct result with a field in tracking that indicates if the tracking has patterns and a UNION :
(
SELECT COUNT(DISTINCT lg.ip), tr.name
FROM `logs` as lg
INNER JOIN `trackings` as tr ON
( tr.server_id = lg.server_id )
AND (tr.hasPatterns = 1)
AND -- Other conditions
INNER JOIN `patterns` as pt ON
( pt.tracking_id = tr.id )
AND (lg.url LIKE pt.pattern )
WHERE
GROUP BY tr.id
)
UNION
(
SELECT COUNT(DISTINCT lg.ip), tr.name
FROM `logs` as lg
INNER JOIN `trackings` as tr ON
( tr.server_id = lg.server_id )
AND (tr.hasPatterns = 0)
WHERE
GROUP BY tr.id, lg.date
)
But I guess there is a way to do that without using Union...
You can put a conditional inside count, so I think the following does what you want:
SELECT COUNT(DISTINCT (case when tr.hasPatterns = 1 and pt.tracking_id is not null
then lg.ip
when tr.hasPatterns = 0
then lg.ip
end)), tr.name
FROM `logs` as lg
INNER JOIN `trackings` as tr ON
( tr.server_id = lg.server_id )
AND -- Other conditions
LEFT JOIN `patterns` as pt ON
( pt.tracking_id = tr.id )
AND (lg.url LIKE pt.pattern )
WHERE
GROUP BY tr.id
EDIT:
This is returning what you want:
SELECT COUNT(DISTINCT (case when tr.size = 0 and pt.tracking_id is not null
then lg.ip
when tr.size > 0 and lg.size > tr.size
then lg.ip
end)), tr.name
FROM `logs` as lg
INNER JOIN `trackings` as tr ON
( tr.server_id = lg.server_id )
LEFT JOIN `patterns` as pt ON
( pt.tracking_id = tr.id )
AND (lg.url LIKE pt.pattern )
GROUP BY tr.id;
Your SQL Fiddle has the additional condition lg.size > tr.size which is not in the original question.