I'm selecting "ideas" from my database currently, but another requirement is to be able to grab "trending ideas", that is, the top 10 most-up-voted ideas within the last 7 days.
My query for selecting "ideas" is this:
SELECT
t.id AS 'id',
CONCAT(t.first_name, ' ', SUBSTRING(t.last_name,1,1)) AS 'name',
t.votes_up,
t.votes_down,
t.votes_aggregate,
GROUP_CONCAT(DISTINCT tags.name) AS 'tags',
t.createdon AS 'timestamp'
FROM (
SELECT
ideas.id, first_name, last_name, createdon,
COALESCE(SUM(case when value > 0 then value end),0) votes_up,
COALESCE(SUM(case when value < 0 then value end),0) votes_down,
COALESCE(SUM(value),0) votes_aggregate
FROM ideas
LEFT JOIN votes ON ideas.id = votes.idea_id
GROUP BY ideas.id
) as t
LEFT JOIN tags_rel ON t.id = tags_rel.idea_id
LEFT JOIN tags ON tags_rel.tag_id = tags.id
How would I get and display all the votes, but only get the "ideas" that have been voted up (votes_up) within the last 7 days and ordered by the amount of votes_up ?
This is my attempt:
SELECT
t.id AS 'id',
CONCAT(t.first_name, ' ', SUBSTRING(t.last_name,1,1)) AS 'name',
t.votes_up,
t.votes_down,
t.votes_aggregate,
GROUP_CONCAT(DISTINCT tags.name) AS 'tags',
t.createdon AS 'timestamp'
FROM (
SELECT
ideas.id, first_name, last_name, createdon,
COALESCE(SUM(case when value > 0 then value end),0) votes_up,
COALESCE(SUM(case when value < 0 then value end),0) votes_down,
COALESCE(SUM(value),0) votes_aggregate
FROM ideas
LEFT JOIN votes ON ideas.id = votes.idea_id
GROUP BY ideas.id
) as t
LEFT JOIN tags_rel ON t.id = tags_rel.idea_id
LEFT JOIN tags ON tags_rel.tag_id = tags.id
WHERE t.published = 1
AND (
SELECT ideas.id,
COALESCE(SUM(case when value > 0 then value end),0) votes_up
FROM ideas
LEFT JOIN votes ON ideas.id = votes.idea_id
WHERE votes.`timestamp` > (NOW() - INTERVAL 7 DAY)
GROUP BY ideas.id
) as v
GROUP BY t.id
ORDER BY v.votes_up DESC
But I get the error for the right syntax to use near 'as v GROUP BY t.id ORDER BY v.votes_up DESC LIMIT 10'
You're using the 'AS v' in a WHERE clause, which isn't possible:
WHERE t.published = 1
AND (
SELECT ideas.id,
COALESCE(SUM(case when value > 0 then value end),0) votes_up
FROM ideas
LEFT JOIN votes ON ideas.id = votes.idea_id
WHERE votes.`timestamp` > (NOW() - INTERVAL 7 DAY)
GROUP BY ideas.id
) as v
Try this one, in your SELECT statement you do the subquery, in your WHERE you check if this isn't NULL and you can order by it (if i'm right):
SELECT
t.id AS 'id',
CONCAT(t.first_name, ' ', SUBSTRING(t.last_name,1,1)) AS 'name',
t.votes_up,
t.votes_down,
t.votes_aggregate,
GROUP_CONCAT(DISTINCT tags.name) AS 'tags',
t.createdon AS 'timestamp',
(
SELECT ideas.id,
COALESCE(SUM(case when value > 0 then value end),0) votes_up
FROM ideas
LEFT JOIN votes ON ideas.id = votes.idea_id
WHERE votes.`timestamp` > (NOW() - INTERVAL 7 DAY)
GROUP BY ideas.id
) AS vup
FROM (
SELECT
ideas.id, first_name, last_name, createdon,
COALESCE(SUM(case when value > 0 then value end),0) votes_up,
COALESCE(SUM(case when value < 0 then value end),0) votes_down,
COALESCE(SUM(value),0) votes_aggregate
FROM ideas
LEFT JOIN votes ON ideas.id = votes.idea_id
GROUP BY ideas.id
) as t
LEFT JOIN tags_rel ON t.id = tags_rel.idea_id
LEFT JOIN tags ON tags_rel.tag_id = tags.id
WHERE t.published = 1
AND vup IS NOT NULL
GROUP BY t.id
ORDER BY vup DESC
Related
I have the following MySQL query
select a.*, d.*, p.*, pow.* from appointment a
left join doctor d on d.id = a.doctor_id
left join patient p on p.id = a.patient_id
left join point_of_work pow on pow.id = a.point_of_work_id
where (doctor_id, patient_id, date) = (
select doctor_id, patient_id,
coalesce(
min(case when date > curdate() then date end),
max(case when date < curdate() then date end)
) date
from appointment
where (doctor_id, patient_id) = (a.doctor_id, a.patient_id)
)
and d.external_id = 1
And I am trying to convert it to DQL.
Right now I come to this version of DQL but it seems I'am doing something (or maybe more things:( wrong)
$expr = $this->getEntityManager()->getExpressionBuilder();
$queryBuilder = $this->createQueryBuilder('a')
->leftJoin(Doctor::class, 'd')
->leftJoin(Patient::class, 'p')
->leftJoin(PointOfWork::class, 'pow')
->where(
$expr->eq('doctorId, patient_id, date',
$this->createQueryBuilder('a')
->select(Appointment::class . ',
coalesce(
min(case when date > curdate() then date end),
max(case when date < curdate() then date end)
) date'
)
->where ('(doctorId, patientId) = (a.doctorId, a.patientId)')
)
)
->andWhere('d.externalId = :externalId')
->setParameter('externalId', $doctorExternalId)
->setMaxResults($limit)
->setFirstResult($offset);
What approaches do I need for the DQL conversion?
For my query, the two derived tables at the bottom are causing a crazy slow up for this query. The query, as is, takes about 45-55 seconds to execute.. NOW, when i remove just one of those derived tables (it does not matter which one) the query goes down to 0.1 - 0.3 seconds. My questions; Is there an issue with having multiple derived tables? Is there a better way to execute this? My indexes all seem to be correct, I will also include the explain from this query.
select t.name as team, u.name as "REP NAME",
count(distinct activity.id) as "TOTAL VISITS",
count(distinct activity.account_id) as "UNIQUE VISITS",
count(distinct placement.id) as "COMMITMENTS ADDED",
CASE WHEN
count(distinct activity.account_id) = 0 THEN (count(distinct
placement.id) / 1)
else (cast(count(distinct placement.id) as decimal(10,2)) /
cast(count(distinct activity.account_id) as decimal(10,2)))
end as "UNIQUE VISIT TO COMMITMENT %",
case when o.mode='basic' then count(distinct placement.id) else
count(distinct(case when placement.commitmentstatus='fullfilled'
then placement.id else 0 end))
end as "COMMITMENTS FULFILLED",
case when o.mode='basic' then 1 else
(CASE WHEN
count(distinct placement.id) = 0 THEN (count(distinct(case when
placement.commitmentstatus='fullfilled' then placement.id else 0
end)) / 1)
else (cast(count(distinct(case when
placement.commitmentstatus='fullfilled' then placement.id else 0
end)) as decimal(10,2)) / cast(count(distinct placement.id) as
decimal(10,2)))
end) end as "COMMITMENT TO FULFILLMENT %"
from lpmysqldb.users u
left join lpmysqldb.teams t on t.team_id=u.team_id
left join lpmysqldb.organizations o on o.id=t.org_id
left join (select * from lpmysqldb.activity where
org_id='555b918ae4b07b6ac5050852' and completed_at>='2018-05-01' and
completed_at<='2018-06-01' and tag='visit' and accountname is not
null and (status='active' or status='true' or status='1')) as
activity on activity.user_id=u.id
left join (select * from lpmysqldb.placements where
orgid='555b918ae4b07b6ac5050852' and placementdate>='2018-05-01' and
placementdate<='2018-06-01' and (status IN ('1','active','true') or
status is null)) as placement on placement.userid=u.id
where u.org_id='555b918ae4b07b6ac5050852'
and (u.status='active' or u.status='true' or u.status='1')
and istestuser!='1'
group by u.org_id, t.name, u.id, u.name, o.mode
order by count(distinct activity.id) desc
Thank you for assistance!
I have edited below with changing the two bottom joins from joining on subqueries to joining on the table directly. Still yielding the same result.
This is a SLIGHTLY restructured query of your same. Might be simplified as the last two subqueries are all pre-aggregated for your respective counts and count distincts so you can use those column names directly instead of showing all the count( distinct ) embedded throughout the query.
I also tried to simplify the division by multiplying a given count by 1.00 to force decimal-based precision as result.
select
t.name as team,
u.name as "REP NAME",
Activity.DistIdCnt as "TOTAL VISITS",
Activity.UniqAccountCnt as "UNIQUE VISITS",
Placement.DistIdCnt as "COMMITMENTS ADDED",
Placement.DistIdCnt /
CASE WHEN Activity.UniqAccountCnt = 0
THEN 1.00
ELSE Activity.UniqAccountCnt * 1.00
end as "UNIQUE VISIT TO COMMITMENT %",
case when o.mode = 'basic'
then Placement.DistIdCnt
else Placement.DistFulfillCnt
end as "COMMITMENTS FULFILLED",
case when o.mode = 'basic'
then 1
else ( Placement.DistFulfillCnt /
CASE when Placement.DistIdCnt = 0
then 1.00
ELSE Placement.DistIdCnt * 1.00
END TRANSACTION )
END as "COMMITMENT TO FULFILLMENT %"
from
lpmysqldb.users u
left join lpmysqldb.teams t
on u.team_id = t.team_id
left join lpmysqldb.organizations o
on t.org_id = o.id
left join
( select
user_id,
count(*) as AllRecs,
count( distinct id ) DistIdCnt,
count( distinct account_id) as UniqAccountCnt
from
lpmysqldb.activity
where
org_id = '555b918ae4b07b6ac5050852'
and completed_at>='2018-05-01'
and completed_at<='2018-06-01'
and tag='visit'
and accountname is not null
and status IN ( '1', 'active', 'true')
group by
user_id ) activity
on u.id = activity.user_id
left join
( select
userid,
count(*) AllRecs,
count(distinct id) as DistIdCnt,
count(distinct( case when commitmentstatus = 'fullfilled'
then id
else 0 end )) DistFulfillCnt
from
lpmysqldb.placements
where
orgid = '555b918ae4b07b6ac5050852'
and placementdate >= '2018-05-01'
and placementdate <= '2018-06-01'
and ( status is null OR status IN ('1','active','true')
group by
userid ) as placement
on u.id = placement.userid
where
u.org_id = '555b918ae4b07b6ac5050852'
and u.status IN ( 'active', 'true', '1')
and istestuser != '1'
group by
u.org_id,
t.name,
u.id,
u.name,
o.mode
order by
activity.DistIdCnt desc
FINALLY, your inner queries are querying for ALL users. If you have a large count of users that are NOT active, you MIGHT exclude those users from each inner query by adding those join/criteria there too such as...
( ...
from
lpmysqldb.placements
JOIN lpmysqldb.users u2
on placements.userid = u2.id
and u2.status IN ( 'active', 'true', '1')
and u2.istestuser != '1'
where … ) as placement
I have this data that I got from my current query.
What I want to do is combine and make it a single row where the type is Senior, the cashamount and Tenderamount are the same as well.
This is my desired result:
I'm getting my data from this table:
Here's my query:
SELECT a.DATE as `DATE`, a.employee as `EMPLOYEE`, a.TYPEID, a.NAME as
`NAME`, (select (case when a.typeid = 1 then a.amount else NULL end)) as
`CASHAMOUNT`,
(select (case when a.typeid <> 1 then a.amount else NULL end)) as
`TENDERAMOUNT`, (select gndtndr.IDENT from gndtndr where gndtndr.TYPE = 12
and `gndtndr`.`CHECK`= a.CHECK and gndtndr.DATE = a.DATE) as `ID`,
from gndtndr a
where STR_TO_DATE(a.DATE, '%m/%d/%Y') BETWEEN '20170901' AND '20170901'
order by STR_TO_DATE(a.DATE, '%m/%d/%Y')
My MySQL is a bit rusty, but give this a try!
SELECT a.Date, a.Employee, a.Name, a.ID, SUM(b.Amount) AS CashAmount,
SUM(c.Amount) AS TenderAmount FROM
(SELECT DISTINCT Date, Employee, Name, ID FROM gndtndr WHERE Type = 12) AS a
LEFT JOIN gndtndr AS b
ON a.ID = b.ID AND b.TypeID = 1
LEFT JOIN gndtdr AS c
ON a.ID = c.ID and c.TypeID <> 1
GROUP BY a.Date, a.Employee, a.Name, a.ID
I've figured it out :) I just have to define the type conditions in my where clause where the type is 1(for cash).
SELECT a.DATE as `DATE`, a.employee as `EMPLOYEE`, a.TYPEID, a.NAME as
`NAME`, (select sum(gndtndr.amount) from gndtndr where gndtndr.typeid = 1
and gndtndr.`CHECK` = a.`CHECK` and gndtndr.DATE = a.DATE) as `CASHAMOUNT`,
(select (case when a.typeid <> 1 then a.amount else NULL end)) as
`TENDERAMOUNT`, (select gndtndr.IDENT from gndtndr where gndtndr.TYPE = 12
and `gndtndr`.`CHECK`= a.CHECK and gndtndr.DATE = a.DATE) as `ID` from
gndtndr a
where a.TYPEID <> 1 and STR_TO_DATE(a.DATE, '%m/%d/%Y') BETWEEN '20170901'
AND '20170901' order by STR_TO_DATE(a.DATE, '%m/%d/%Y')
I have Sample Data like below:
and i use the below SQL statement :
select a.product_category_id, b.Favorite, c.In_Cart,d.Pre_sales_order,
sum(b.Favorite)+sum(c.In_Cart)+sum(d.Pre_sales_order) as SubTotal
from
(select distinct product_category_id
from item_activity
where last_item_status_code in (6,7,8)
) a
left join
(select product_category_id, count(last_item_status_code) as Favorite
from .item_activity
where last_item_status_code='6'
group by product_category_id
) b on a.product_category_id=b.product_category_id
left join
(select product_category_id, count(product_category_id) as In_Cart
from item_activity
where last_item_status_code='7'
group by product_category_id
) c on c.product_category_id=a.product_category_id
left join
(select product_category_id, count(product_category_id) as Pre_sales_order
from item_activity
where last_item_status_code='8'
group by product_category_id
) d on d.product_category_id=a.product_category_id
group by a.product_category_id
;
and achieved this:
But it just give me the subtotal of the first row....
Try this:
select product_category_id,
sum(case when last_item_status_code=6 then 1 else 0 end) As Favorite,
sum(case when last_item_status_code=7 then 1 else 0 end) As In_Cart,
sum(case when last_item_status_code=8 then 1 else 0 end) As Pre_sales_order,
count(last_item_status_code) as SubTotal
from item_activity
where last_item_status_code in (6,7,8)
group by product_category_id;
the product_category_id doesn't exist in other tables. So the Subtotal is resulting to NULL.
SUM(1 + NULL) == NULL. You can use IF or COALESCE to convert NULL to 0.
Everyone,
I am just curious if there is a way to do this sort of limiting with a query on a mySQL database:
Here are my tables:
Events
event_id event_title creation_time
Images
image_id src event_id
Comments
event_comment_id event_comment event_id
I would like to fetch events sorted by creation time, and get only 3 images and 3 comments for each event.
Any help, resources, or criticism is welcome. Thank you
Here's one approach. Basically, get the rownumber associated with each group of comments/images and only display up to 3:
SELECT E.*,
MAX(CASE WHEN I.rn = 1 THEN I.Image_Id END) Image1,
MAX(CASE WHEN I.rn = 2 THEN I.Image_Id END) Image2,
MAX(CASE WHEN I.rn = 3 THEN I.Image_Id END) Image3,
MAX(CASE WHEN C.rn = 1 THEN C.event_comment_id END) Comment1,
MAX(CASE WHEN C.rn = 2 THEN C.event_comment_id END) Comment2,
MAX(CASE WHEN C.rn = 3 THEN C.event_comment_id END) Comment3
FROM Events E
LEFT JOIN (SELECT #curRow:=IF(#prevRow = event_id, #curRow + 1, 1) rn,
Image_Id, src, event_id, #prevRow:= event_id
FROM Images
JOIN (SELECT #curRow := 0) r
) I ON E.event_id = I.Event_id
LEFT JOIN (SELECT #curRow2:=IF(#prevRow2 = event_id, #curRow2 + 1, 1) rn,
event_comment_id, event_comment, event_id, #prevRow2:= event_id
FROM Comments
JOIN (SELECT #curRow2 := 0) r
) C ON E.event_id = C.Event_id
GROUP BY E.Event_Id
ORDER BY E.Event_Id, E.creation_time DESC
And here is the SQL Fiddle.