Why the sql code below ignores
WHERE r.tt_schedules_id = '105'
in
SELECT DISTINCT r.load_date, u.url
FROM tt_results r
INNER JOIN url_lp u
ON u.lp_id <> r.lp_id
INNER JOIN tt_schedules s
ON s.tt_schedules_id = r.tt_schedules_id
WHERE r.tt_schedules_id = '105'
AND (DATE(NOW()) - DATE(r.load_date) <= 7)
?
Basically, it returns everything with any
tt_schedules_id
There are 5 tables:
url_lp, tt_results (table having foreign keys in url_lp, tt_schedules and
tt_tags), tt_schedules, tt_tags(not used) and tt_schedules_url_lp_hub
If you draw the scheme on the paper you should be clear.
I fixed it:
SELECT u.url FROM url_lp u
INNER JOIN tt_schedules_url_lp_hub hub
ON hub.lp_id = u.lp_id
INNER JOIN tt_schedules s
ON hub.tt_schedules_id = s.tt_schedules_id
WHERE s.tt_schedules_id = '105'
AND u.lp_id NOT IN
(SELECT r.lp_id FROM tt_results r WHERE r.tt_schedules_id = '105')
Cheers.
Related
I have a query that selects properties, and I need to join them to get the most recent activity on each one, where that activity_status = 3 (closed deal). when I get that, I need to get the bank that closed the deal (banks.is_reward = 1)
Problem is that the data is spread over many tables, so when I join to get all the results, and then try to limit to the max(activity_date), I need to group the results, and then I don't get the correct data from the other columns.
Here is a SQL Fiddle
I can do
Select * from properties
join
(SELECT deal_properties.property_id, activity.deal_id, activity.activity_date, banks.bank_id
FROM deal_properties
JOIN activity on activity.deal_id = deal_properties.deal_id
AND activity.activity_status = 3
JOIN banks ON banks.deal_id = activity.deal_id
AND banks.is_rewarded = 1) a
on a.property_id = properties.property_id;
and that will get me all the closed properties, with the rewarded banks, but I cant seem to limit that by the max(activity_date).
Option 1
The following gives what you're looking for following your current line of thought:
SELECT LastActivities.property_id, ActivityDetails.bank_id, LastActivities.activity_date
FROM (
SELECT p.property_id, MAX(a.activity_date) AS activity_date
FROM properties p
JOIN deal_properties dp
ON dp.property_id = p.property_id
JOIN activity a
ON a.deal_id = dp.deal_id AND a.activity_status = 3
GROUP BY p.property_id
) LastActivities
JOIN(
SELECT a.activity_date, dp.property_id, b.bank_id
FROM deal_properties dp
JOIN activity a
ON a.deal_id = dp.deal_id AND a.activity_status = 3
JOIN banks b
ON b.deal_id = a.deal_id AND b.is_rewarded = 1
) ActivityDetails
ON ActivityDetails.property_id = LastActivities.property_id
AND ActivityDetails.activity_date = LastActivities.activity_date
Here is the fiddle: HERE
Option 2
Below is another way to get the same results... This should be a bit more efficient as it only has one derived table instead of two.
SELECT p.property_id, b.bank_id, a.activity_date
FROM activity a
JOIN banks b
ON b.deal_id = a.deal_id AND b.is_rewarded = 1
JOIN deal_properties dp
ON dp.deal_id = a.deal_id
JOIN properties p
ON p.property_id = dp.property_id
JOIN(SELECT p.property_id, max(a.activity_date) AS activity_date
FROM activity a
JOIN deal_properties dp
ON dp.deal_id = a.deal_id
JOIN properties p
ON p.property_id = dp.property_id
GROUP BY p.property_id
) latest
ON latest.activity_date = a.activity_date AND latest.property_id = p.property_id
WHERE a.activity_status = 3
Here is the fiddle for option 2: HERE
looking to your sample seems you need
Select * from properties p
inner join
( SELECT deal_properties.property_id as property_id , max(activity.activity_date) max_date
FROM deal_properties
INNER JOIN activity on activity.deal_id = deal_properties.deal_id
AND activity.activity_status = 3
INNER JOIN banks ON banks.deal_id = activity.deal_id AND banks.is_rewarded = 1
group by property_id
) a on a.property_id = p.property_id;
I have the following query and would like to convert it to using a left outer join instead of a not in to see if it would run faster that way. It's currently taking this query about 40 seconds to run on our database. I'm not familiar enough with using outer joins for this type of thing to convert it myself.
select
c.contact_id as contact_id,
c.orgid as organization_id,
c.first_name as first_name,
c.last_name as last_name,
a.address_state as state
from cnx_contact as c
inner join cnx_address as a on c.home_address_uid = a.address_uid
where a.address_state = 'OH'
and (c.orgid = 45 or c.orgid = 55)
and c.contact_id NOT IN (
select pc.contact_id
from cnx_contact as c
inner join cnx_address as a on c.home_address_uid = a.address_uid
inner join cnx_contact_group_participant as gp on c.contact_id = gp.contact_id
inner join cnx_contact_participant_role as cr on gp.participant_role_uid = cr.participant_role_uid
inner join cnx_contact_group as cg on gp.group_uid = cg.group_uid
inner join cnx_contact_group_participant as pgp on cg.primary_participant_uid = pgp.participant_uid
inner join cnx_contact as pc on pgp.contact_id = pc.contact_id
where (c.orgid = 45 or c.orgid = 55)
and cr.name = 'Applicant'
);
select
c.columns
from cnx_contact as c
inner join cnx_address as a on c.home_address_uid = a.address_uid
LEFT JOIN
(Subquery goes here) x
ON x.contact _id = c.contact_id
where a.participant_state = 'OH'
and c.orgid IN(45,55)
and x.contact_id IS NULL;
Please am having difficulty in optimizing this query. What am trying to achieve is to join about 8 tables, of which only about 3 of the tables contains large data (1.5m records). This query returns expected records but is taking 1min to run which is bad.
I know it can be optimized to perform far better, pls i need assistance from you experts. I have index on the fields used for join already.
SELECT topic_id,
topic_title,
unit_name_abbrev,
sch_name_abbrev,
picture_small_url AS thumbnail,
profile_pix_upload_path,
first_name,
last_name,
topic_poster,
topic_replies,
topic_views,
topic_last_post_time AS topic_post_time,
sch_sub_forum_id
FROM (_sch_forum_topics
INNER JOIN _users
ON ( _users.userid = _sch_forum_topics.topic_poster )
INNER JOIN _profile
ON _profile.userid = _users.userid
INNER JOIN _class
ON _users.classid = _class.classid
INNER JOIN _level
ON _class.level_id = _level.id
INNER JOIN _unit
ON _class.unitid = _unit.unitid
INNER JOIN _department
ON _unit.deptid = _department.deptid
INNER JOIN _faculty
ON _department.facid = _faculty.facid
INNER JOIN _university
ON _faculty.schid = _university.schid)
WHERE _sch_forum_topics.sch_sub_forum_id = 4
ORDER BY _sch_forum_topics.topic_last_post_time DESC
LIMIT 0, 15
Try to filter before making JOIN's.
SELECT topic_id,
topic_title,
unit_name_abbrev,
sch_name_abbrev,
picture_small_url AS thumbnail,
profile_pix_upload_path,
first_name,
last_name,
topic_poster,
topic_replies,
topic_views,
topic_last_post_time AS topic_post_time,
sch_sub_forum_id
FROM
( select * FROM sch_forum_topics WHERE sch_sub_forum_id = 4
ORDER BY topic_last_post_time DESC
LIMIT 0, 15 ) main
INNER JOIN _users
ON ( _users.userid = main.topic_poster )
INNER JOIN _profile
ON _profile.userid = _users.userid
INNER JOIN _class
ON _users.classid = _class.classid
INNER JOIN _level
ON _class.level_id = _level.id
INNER JOIN _unit
ON _class.unitid = _unit.unitid
INNER JOIN _department
ON _unit.deptid = _department.deptid
INNER JOIN _faculty
ON _department.facid = _faculty.facid
INNER JOIN _university
ON _faculty.schid = _university.schid);
I've got the query below that's pulling data from a number of tables to create an update:
UPDATE en_inter.subscribers_data AS sd
inner join en_inter.list_subscribers AS ls on sd.subscriberid = ls.subscriberid
LEFT JOIN (
SELECT pd1.email_address,COUNT(pd1.email_address) AS NumDowns
FROM email.papr_down pd1
INNER JOIN email.papr_data pd2 on pd1.paper_id = pd2.id
INNER JOIN email.papr_subj ps on ps.id = pd2.subject
INNER JOIN email.papr_exam pe on pe.id = pd2.exam
INNER JOIN email.papr_levl pl on pl.id = pd2.level
WHERE pd2.exam = 1
and pd2.level = 4
GROUP BY email_address
) AS downs ON downs.email_address = ls.emailaddress
SET sd.data = ifnull(downs.NumDowns,1)
WHERE sd.fieldid = 33;
It works fine but when there are plenty of records in papr_down then it takes ages to process. Any ideas about how it can be optimized?
What I think is the join between the emailAddress is the issue here, you can try out with the join with the Id's.
If you provide us the screen shot of the below query ::
EXPLAIN Select * from
en_inter.subscribers_data AS sd
inner join en_inter.list_subscribers AS ls on sd.subscriberid = ls.subscriberid
LEFT JOIN (
SELECT pd1.email_address,COUNT(pd1.email_address) AS NumDowns
FROM email.papr_down pd1
INNER JOIN email.papr_data pd2 on pd1.paper_id = pd2.id
INNER JOIN email.papr_subj ps on ps.id = pd2.subject
INNER JOIN email.papr_exam pe on pe.id = pd2.exam
INNER JOIN email.papr_levl pl on pl.id = pd2.level
WHERE pd2.exam = 1
and pd2.level = 4
GROUP BY email_address
) AS downs ON downs.email_address = ls.emailaddress
WHERE sd.fieldid = 33
As I know we should use joins only for the columns which are preset in SELECT clause and for other joins we should implement using WHERE clause
Please try following query:
UPDATE en_inter.subscribers_data AS sd
inner join en_inter.list_subscribers AS ls
on sd.subscriberid = ls.subscriberid
LEFT JOIN (
SELECT pd1.email_address,COUNT(pd1.email_address) AS NumDowns
FROM email.papr_down AS pd1
INNER JOIN email.papr_data AS pd2 on pd1.paper_id = pd2.id
WHERE
email.papr_exam.id in (select exam from email.papr_data where exam = 1)
AND
email.papr_levl.id in (select level from email.papr_data where level = 4 )
AND
email.papr_subj.id in (select subject from email.papr_data)
GROUP BY email_address
) AS downs ON downs.email_address = ls.emailaddress
SET sd.data = ifnull(downs.NumDowns,1)
WHERE sd.fieldid = 33;
I can not execute this at my machine since i don't have the schema
I have a query that I can't seem to manipulate to work in a SUM function in MySQL:
Here is what I want:
UPDATE account_seeds AS a
INNER JOIN b AS b ON b.accountID = a.accountID AND a.areaID = b.areaID
INNER JOIN b_seed AS s ON s.buildingID = b.buildingID
INNER JOIN seed_class AS c ON c.seedID = s.seedID
SET a.amount = a.amount + SUM(s.amount)
WHERE b.status='active' AND a.seedID = s.seedID
Now it obviously won't let me use the SUM in the update without separating it. I have tried joining select queries but can't quite get my head around it. The basic premise being that I have multiple buildings(rows) that has a seed value that will increase total seeds of that type in the area for a particular account. Without the sum it only updates one of the buildings that has a matching seed value
UPDATE
account_seeds AS a
INNER JOIN
( SELECT b.accountID, b.areaID, s.seedID
, SUM(s.amount) AS add_on
FROM b AS b
INNER JOIN b_seed AS s
ON s.buildingID = b.buildingID
INNER JOIN seed_class AS c
ON c.seedID = s.seedID
WHERE b.status = 'active'
GROUP BY b.accountID, b.areaID, s.seedID
) AS g
ON g.accountID = a.accountID
AND g.areaID = a.areaID
AND g.seedID = a.seedID
SET
a.amount = a.amount + g.add_on ;
Maybe you can use a nested query:
UPDATE account_seeds AS a
INNER JOIN b AS b ON b.accountID = a.accountID AND a.areaID = b.areaID
INNER JOIN b_seed AS s ON s.buildingID = b.buildingID
INNER JOIN seed_class AS c ON c.seedID = s.seedID
SET a.amount = a.amount + (SELECT SUM(amount) FROM b_seed)
WHERE b.status='active' AND a.seedID = s.seedID
Can you try that?