I have a table (edu_posts) which contains posts. The field "post_receiver" usually contains a user_id, but sometimes it may contain an event ID (syntax: event-ID) and I have created a statement like this:
SELECT
p.*,
u.firstname AS post_author_firstname,
u.lastname AS post_author_lastname,
u3.firstname AS receiver_firstname,
u3.lastname AS receiver_lastname,
pl.like_author AS user_likes,
CASE
WHEN p.post_receiver REGEXP '^[a-z]'
THEN
SUBSTRING_INDEX(
SUBSTRING_INDEX(p.post_receiver, '-', 2),
'-',
- 1
)
END
AS event_id,
e.event_name AS event_name
FROM
edu_posts p
LEFT JOIN edu_users u ON u.user_id = p.post_author
LEFT JOIN edu_users u3 ON u3.user_id = p.post_receiver
LEFT JOIN edu_likes pl ON pl.like_entity = p.post_id
LEFT JOIN edu_events e ON e.event_id = event_id
AND pl.like_author = 1
GROUP BY
p.post_id,
pl.like_id
ORDER BY
p.post_date DESC
Have a look at CASE and below in the SELECT statement, and the last LEFT JOIN.
I figured I cannot retrieve data from "event_id" i created in the SELECT statement. So what could I do to LEFT JOIN based on EVENT_ID's value?
Maybe this whole progress is too complicated, and instead it would be better and more effective to make a new MySQL call in the PHP code, if post_receiver is equal to: event-someID?
What are your thoughts? Thanks in advance!
Related
I try to improve this query but I do not made successefully. I use a some left join and subquerys (I don't know another form) We try to get all bookings from users with certain status and the number of bookings multiples related with this booking and get from the log user the origin. The query is slow even if use a limit clausure. I Appreciate all the help can you give me.
This is the query:
SELECT DISTINCT b.uneaque_id, b.id, b.status, b.route_status, b.username, b.purpose, b.transfer, b.pickup_date, b.pickup_time, b.return_time, b.amount, b.default_location, b.start_address_route_comments, b.start_address_route, b.end_address_route_comments, b.end_address_route, u1.first_name, u1.last_name, b.transaction_Id, b.manual_payment, mr.AddressCount, lu.origin
FROM bookingdetails b
LEFT JOIN log_users lu ON lu.uneaque_id = b.uneaque_id AND lu.command_type = 'NEW BOOKING'
LEFT JOIN (
SELECT booking_id, COUNT(*) AS AddressCount FROM booking_multiple_rides GROUP BY booking_id
) mr ON b.id = mr.booking_id,
userdetails u1 WHERE b.username = u1.email
AND u1.user_status IN ('Active', 'Blocked', 'Not_Active')
AND b.default_location = 1
PD: Sorry for my english.
You have a ON b.id = mr.booking_id, userdetails u1 WHERE
you should change with a proper inner join
SELECT DISTINCT b.uneaque_id
, b.id, b.status
, b.route_status
, b.username
, b.purpose
, b.transfer
, b.pickup_date
, b.pickup_time
, b.return_time
, b.amount
, b.default_location
, b.start_address_route_comments
, b.start_address_route
, b.end_address_route_comments
, b.end_address_route
, u1.first_name
, u1.last_name
, b.transaction_Id
, b.manual_payment
, mr.AddressCount
, lu.origin
FROM bookingdetails b
LEFT JOIN log_users lu ON lu.uneaque_id = b.uneaque_id AND lu.command_type = 'NEW BOOKING'
LEFT JOIN (
SELECT booking_id
, COUNT(*) AS AddressCount
FROM booking_multiple_rides GROUP BY booking_id
) mr ON b.id = mr.booking_id
INNER JOIN userdetails u1 ON b.username = u1.email
AND u1.user_status IN ('Active', 'Blocked', 'Not_Active')
AND b.default_location = 1
and be sure you have proper index on
table bookingdetails a composite index on columns ( uneaque_id , id, default_location)
table log_users a composite index on columns (uneaque_id, command_type)
table userdetails a cmposite index on columns (email,user_status )
Tip 1.
Hiding a derived table in a LEFT JOIN is a prescription for sluggishness.
Replace
mr.AddressCount
with
( SELECT COUNT(*)
FROM booking_multiple_rides
WHERE booking_id = b.id
GROUP BY booking_id ) AS AddressCount
and get rid of the LEFT JOIN ( SELECT ... ) AS mr ON ..
Tip 2 Use explicit JOINs, no the old-fashioned "comma-join":
JOiN userdetails u1
ON b.username = u1.email
This won't help performance but it will make things clearer.
Tip 3: If you need an INNER JOIN (u1) after a LEFT JOIN, use parentheses. Else, put the inner joins first, then the left joins. This makes it easier to use, but may screw up the logic.
Tip 4: Don't use LEFT unless you need it. When you dont need it, it confuses the reader (and the Optimizer). (Again, no performance change.)
Tip 5: Why are you using DISTINCT? That takes an extra pass over all the resultset.
If those do not help enough, then provide SHOW CREATE TABLE so we can critique the indexes.
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
Good afternoon,
I'm trying to get some information from my MySQL database and I'm having problems because I'm not able to have the information needed. I have tried a lot of different approaches and none of them have worked. I hope you can find something because I'm very close to find the solution but something is missing:
MySQL query:
SELECT b.id, b.tipo_perfil, round(avg(b.edad)), COUNT(c.zona), c.zona
FROM analizador_datos_usuario AS a
INNER JOIN analizador_datos_perfil AS b ON (a.id_usuario = b.id_perfil)
INNER JOIN analizador_datos_perfil_historial AS c ON (b.id = c.id_perfil)
WHERE a.id_usuario=21
GROUP BY b.tipo_perfil, c.zona
ORDER BY b.tipo_perfil ASC, count(c.zona) DESC
This query gives me the following information:
Table (in red it's what I need):
Kind regards,
try that :
SELECT b.tipo_perfil, round(avg(b.edad)), COUNT(distinct c.zona), group_concat(distinct b.id separator ' ') as id_list, group_concat(distinct c.zona separator ' ') as zona_list
FROM analizador_datos_usuario AS a
INNER JOIN analizador_datos_perfil AS b ON (a.id_usuario = b.id_perfil)
INNER JOIN analizador_datos_perfil_historial AS c ON (b.id = c.id_perfil)
WHERE a.id_usuario=21
GROUP BY b.tipo_perfil
ORDER BY b.tipo_perfil ASC, count(distinct c.zona) DESC
I think you are getting result what is displayed and you want result which is in red colour.
Try this modified query:-
SELECT b.id, b.tipo_perfil, round(avg(b.edad)), COUNT(c.zona) counted_zone, c.zona
FROM analizador_datos_usuario AS a
INNER JOIN analizador_datos_perfil AS b ON (a.id_usuario = b.id_perfil)
INNER JOIN analizador_datos_perfil_historial AS c ON (b.id = c.id_perfil)
WHERE a.id_usuario=21
GROUP BY b.tipo_perfil, c.zona
Having MAX(counted_zone)
ORDER BY b.tipo_perfil ASC, counted_zone DESC
I am trying to SELECT from one table and count from two other tables based on the rows from the first table. I tried the following code below but the rows keep coming empty.
SELECT list.id, list.title, list.body, list.poster, list.created_at, count(comments.id) as comcount, count(supports.topic_id) as supcount
FROM (
SELECT *
FROM topics
ORDER BY created_at DESC
LIMIT 5
) AS list, comments, supports
WHERE
list.id = comments.id OR
list.id = supports.topic_id
Through in this scenario table topics has only two rows and tables comments and supports have no rows in them, but yet still I should be able to get two rows with their aliases supcount and comcount each having a value 0 as an output.
I got the solution to the above but am trying something else with the solution provided which I explained in the comment area of the solution provided.
SELECT
t.id,
t.title,
t.body,
t.poster,
t.created_at,
s.supporter,
IFNULL((SELECT COUNT(*) FROM comments c WHERE c.id = t.id), 0) AS comcount,
IFNULL((SELECT COUNT(*) FROM supports s WHERE s.topic_id = t.id), 0) AS supcount,
CASE WHEN (s.supporter = "Davies Alex") THEN '1' ELSE '0' END sup,
CASE WHEN (c.commenter = "Davies Alex") THEN '1' ELSE '0' END com
FROM topics t, comments c, supports s
ORDER BY created_at DESC
This gonna be working, give a try (using subquery for just counting entries in another table is more suitable):
SELECT
id,
title,
body,
poster,
created_at,
IFNULL((SELECT COUNT(*) FROM comments c WHERE c.id = t.id), 0) AS comcount,
IFNULL((SELECT COUNT(*) FROM supports s WHERE s.topic_id = t.id), 0) AS supcount
FROM topics t
ORDER BY created_at DESC
LIMIT 5
Update for new requirement:
SELECT
t.id,
t.title,
t.body,
t.poster,
t.created_at,
s.supporter,
IFNULL(COUNT(c.id), 0) AS comcount,
IFNULL(COUNT(s.id), 0) AS supcount,
SUM(IF(s.supporter IS NOT NULL AND s.supporter = "Davies Alex", 1, 0)) > 0 AS sup,
SUM(IF(c.commenter IS NOT NULL AND c.commenter = "Davies Alex", 1, 0)) > 0 AS com
FROM topics t
LEFT JOIN comments c ON c.id = t.id
LEFT JOIN supports s ON s.topic_id = t.id
GROUP BY t.id
ORDER BY created_at DESC
In your query, you require list.id to either match comments.id or supports.topic_id. If you use an outer join, you'll be able to retrieve data from the initial table even though the joined tables don't match or contain any data.
SELECT
topics.id, topics.title, topics.body, topics.poster, list.created_at,
count(comments.id) as comcount,
count(supports.topic_id) as supcount
FROM lists
LEFT JOIN comments ON comments.id = topics.id
LEFT JOIN supports ON supports.topic_id = topics.id
ORDER BY created_at DESC
LIMIT 5
I have a problem to implement this:
UPDATE users
INNER JOIN relations_colors ON (relations_colors.user_id = users.id)
INNER JOIN colors ON (colors.id = relations_colors.color_id)
SET search_cache = GROUP_CONCAT( colors.name SEPARATOR " ")
phpmyadmin says: "#1111 - Invalid use of group function", how can I fix?
I think something like this will perform the update operation you are looking for:
UPDATE users u
JOIN ( SELECT r.user_id
, GROUP_CONCAT(c.name SEPARATOR ' ') AS search_cache
FROM relations_colors r
JOIN colors c ON c.id = r.color_id
GROUP BY r.user_id
) s
ON u.id = s.user_id
SET u.search_cache = s.search_cache
Note that this will update only rows in the users table that have a matching row from relations_colors/colors.
To update ALL rows of users, you'd want to include the LEFT keyword before the JOIN keyword to get an "outer join"; that would set the search_cache column to NULL for users that didn't have any matching rows.
To make the result more deterministic, we'd typically include an ORDER BY clause inside the GROUP_CONCAT function, for example:
GROUP_CONCAT(c.name SEPARATOR ' ' ORDER BY c.id)