I currently have:
SELECT ads, id as mid, (SELECT IFNULL(SUM(amount),0) FROM trans WHERE paidout=0 AND user_id=mid) as amount FROM accounts
How could I execute the inner sum query and then go through it and put together the balances in the same manner?
The subquery will be execute for each row returned. If you convert it into a LEFT JOIN, it will be executed once and should be drastically faster.
SELECT
ads,
id AS mid,
COALESCE(amount, 0) AS amount
FROM
accounts
LEFT JOIN (
/* Subquery returns SUM(amount) per user_id */
/* LEFT JOIN in case there are no matching records */
SELECT user_id, SUM(amount) AS amount
FROM trans
WHERE paidout = 0
GROUP BY user_id
) amt ON accounts.id = amt.user_id
The SUM() can be done in the outer query in your case as well, applying the GROUP BY over all other columns.
SELECT
accounts.ads,
accounts.id AS mid
COALESCE(SUM(amount), 0) AS amount
FROM
accounts
LEFT JOIN trans ON accounts.id = trans.user_id
WHERE trans.paidout = 0
GROUP BY
accounts.ads,
mid
Something like this should work:
SELECT ads, accounts.id as mid, ifnull(sum(amount),0) as amount
FROM accounts
LEFT JOIN trans ON paidout=0 AND user_id=accounts.id
GROUP BY accounts.id
This will only have two selects VS (1+(num of rows in amount)) selects, as you have it today.
select ads, mid, IFNULL(SUM(amount),0) as total
from (
SELECT a.ads, a.id as mid, amount
from accounts a
join trans t on t.user_id = a.id and t.paidout = 0
)
group by ads, mid
Related
So I have a large subquery and I would like to join on that subquery while using the result of the subquery in the join.
For example, I have a table called patient and one called appointment, and I would like to get the number of appointments per patient with given criteria.
Right now I am doing something like this:
SELECT
t1.*
FROM
(
SELECT
patient.name,
patient.id,
appointment.date
FROM
patient
LEFT JOIN appointment ON appointment.patient_id = patient.id
WHERE
/* a **lot** of filters, additional joins, etc*/
) t1
LEFT JOIN (
SELECT
COUNT(*) number_of_appointments,
patient.id
FROM
patient
LEFT JOIN appointment ON appointment.patient_id = patient.id
GROUP BY
patient.id
) t2 ON t1.id = t2.id
The problem is that this returns the number of appointments for each patient independent from the subquery above it. I tried writing the join as this:
LEFT JOIN (
SELECT
COUNT(*) number_of_appointments,
patient.id
FROM
t1
GROUP BY
patient.id
)
But obviously I'm getting an error saying that table t1 doesn't exist. Is there any way for me to do this cleanly without having to repeat all of the filters from t1 in t2?
Thanks!
Why not use window functions?
SELECT p.name, p.id, a.date,
COUNT(a.patient_id) OVER (PARTITION BY p.id) as num_appointments
FROM patient p LEFT JOIN
appointment a
ON a.patient_id = p.id
WHERE . . .
This provides the count based on the WHERE filtering. If you wanted a count of all appointments, then do the calculation before applying the WHERE:
SELECT p.name, p.id, a.date,
COALESCE(a.cnt, 0) as num_total_appointments,
COUNT(a.patient_id) OVER (PARTITION BY p.id) as num_matching appointments
FROM patient p LEFT JOIN
(SELECT a.*,
COUNT(*) OVER (PARTITION BY a.patient_id) as cnt
FROM appointment a
) a
ON a.patient_id = p.id
WHERE . . .
I have 4 MySQL tables in my database:
Users (uid, name)
Shops (shopId, shopName)
Reviews (ReviewId, text, userId, shopId, rate, date)
TransactionHistory (transactionId, userId, shopId, Amount, date)
Users write their comments to shops in Reviews table. And user payment history in some shops is saved in the TransactionHistory table.
I need to select all users' reviews for some period in time if that users made payments in that shop at the same period in time.
Select userId, shopId, rate, text, date from Review where date between "01.01.2019" and "01.02.2019" where shopId in (select distinct(shopId) from Shops)
Select userId, shopId, date from TransactionHistory where date between "01.01.2019" and "01.02.2019"
So I have two result sets and some records have the same pair (userId, shopId) - that is what I want to get: all records from 1 SQL request, which pairs (userId, shopId) is present in 2 SQL query.
If I understood that right, all you need is a join statement like this one:
SELECT * FROM t1 LEFT JOIN (t2, t3, t4)
ON (t2.a = t1.a AND t3.b = t1.b AND t4.c = t1.c)
Here is the resource https://dev.mysql.com/doc/refman/8.0/en/join.html
On your case inside the on statement would be what you want to be equal.
Select userId, shopId, rate, text, date from Review r join TransactionHistory th on (r.userId == th.userId and r.shopId == th.shopId) where r.date between "01.01.2019" and "01.02.2019" where r.shopId in (select distinct(shopId) from Shops)
SELECT u.uid, u.name as userName, u.surname, s.name, rate, review, c.amount FROM `rsamazingapp.rsamazingapp.reviews` as r
INNER JOIN `rsamazingapp.cashbacks` as c ON (r.uid = c.uid and r.shop_id = c.shop_id)
INNER JOIN `rsamazingapp.shops` as s on (r.shop_id = s.shop_id)
INNER JOIN `rsamazingapp.users` as u on (r.uid = u.uid)
where r.shop_id in (select distinct shop_id from `rsamazingapp.shops`)
order by rate desc
One table is Users with id and email columns.
Another table is Payments with id, created_at, user_id and foo columns.
User has many Payments.
I need a query that returns each user's email, his last payment date and this last payment's foo value. How do I do that? What I have now is:
SELECT users.email, MAX(payments.created_at), payments.foo
FROM users
JOIN payments ON payments.user_id = users.id
GROUP BY users.id
This is wrong, because foo value does not necessarily belong to user's most recent payment.
Try this :
select users.email,foo,create_at
from users
left join(
select a.* from payments a
inner join (
select id,user_id,max(create_at)
from payments
group by id,user_id
)b on a.id = b.id
) payments on users.id = payments.user_id
If users has no payment yet, then foo and create_at would return NULL. if you want to exclude users who has no payment, then use INNER JOIN.
One approach would be to use a MySQL version of rank over partition and then select only those rows with rank = 1:
select tt.email,tt.created_at,tt.foo from (
select t.*,
case when #cur_id = t.id then #r:=#r+1 else #r:=1 end as rank,
#cur_id := t.id
from (
SELECT users.id,users.email, payments.created_at, payments.foo
FROM users
JOIN payments ON payments.user_id = users.id
order by users.id asc,payments.created_at desc
) t
JOIN (select #cur_id:=-1,#r:=0) r
) tt
where tt.rank =1;
This would save hitting the payments table twice. Could be slower though. Depends on your data!
I need to count the amount of users that have have answered all of those 3 profile_options (so they have at least 3 records in the profile_answers table).
SELECT COUNT(DISTINCT(users.id)) users_count
FROM users
INNER JOIN profile_answers ON profile_answers.user_id = users.id
WHERE profile_answers.profile_option_id IN (37,86,102)
GROUP BY users.id
HAVING COUNT(DISTINCT(profile_answers.id))>=3
The problem is that this query is return a table with rows for each user and how many they answered (in this case always 3). What I need is to return just one row that has the total number of users (so the sum of all rows of this example)
I know how to do it with another subquery but the problem is that I am running into "Mysql::Error: Too high level of nesting for select"
Is there a way to do this without the extra subquery?
SELECT SUM(sum_sub.users_count) FROM (
(SELECT COUNT(DISTINCT(users.id)) users_count
FROM users
INNER JOIN profile_answers ON profile_answers.user_id = users.id
WHERE profile_answers.profile_option_id IN (37,86,102)
GROUP BY users.id
HAVING COUNT(DISTINCT(profile_answers.id))>=3)
) sum_sub
Please give this query a shoot
SELECT COUNT(DISTINCT(u.id)) AS users_count
FROM users AS u
INNER JOIN (
SELECT user_id, COUNT(DISTINCT profile_option_id) AS total
FROM profile_answers
WHERE profile_option_id IN (37,86,102)
GROUP BY users.id
HAVING COUNT(DISTINCT profile_option_id) = 3
) AS a ON a.user_id = u.id
If you have lots of data in your tables, you will get a better/faster performance by using temporary tables like so
CREATE TEMPORARY TABLE a (KEY(user_id)) ENGINE = MEMORY
SELECT user_id, COUNT(DISTINCT profile_option_id) AS total
FROM profile_answers
WHERE profile_option_id IN (37,86,102)
GROUP BY users.id
HAVING COUNT(DISTINCT profile_option_id) = 3;
Then your final query will look like this
SELECT COUNT(DISTINCT(u.id)) as users_count
FROM a
INNER JOIN on a.user_id = u.id
Unless there is a need to join the users table you can go with this
SELECT COUNT(*) AS users_count
FROM (
SELECT user_id, COUNT(DISTINCT profile_option_id) AS total
FROM profile_answers
WHERE profile_option_id IN (37,86,102)
GROUP BY users.id
HAVING COUNT(DISTINCT profile_option_id) = 3
) AS a
Should you need another solution, please consider providing us you EXPLAIN EXTENDED for the query and the table definitions along with a better problem description.
I hope this helps
You can give the queries a name using the AS clause. See the updated query below.
SELECT SUM(sum_sub.users_count) FROM (
(SELECT COUNT(DISTINCT(users.id)) as users_count
FROM users
INNER JOIN profile_answers ON profile_answers.user_id = users.id
WHERE profile_answers.profile_option_id IN (37,86,102)
GROUP BY users.id
HAVING COUNT(DISTINCT(profile_answers.id))>=3)
) as sum_sub
You should not group by on a field not present in select statement.
select id, count(*) from users group by id is fine
select count(id) from users group by id is NOT
Regarding your query I think the link to user table is not necessary. Just using foreign key should be fine.
Try this one:
select count(*) from
(SELECT users_id count(*) as cnt
FROM profile_answers
INNER JOIN users ON profile_answers.user_id = users.id
WHERE profile_answers.profile_option_id IN (37,86,102)
group by users_id
having count(*) >3)
I am having to set up a query that retrieves the last comment made on a customer, if no one has commented on them for more than 4 weeks. I can make it work using the query below, but for some reason the comment column won't display the latest record. Instead it displays the oldest, however the date shows the newest. It may just be because I'm a noob at SQL, but what exactly am I doing wrong here?
SELECT DISTINCT
customerid, id, customername, user, MAX(date) AS 'maxdate', comment
FROM comments
WHERE customerid IN
(SELECT DISTINCT id FROM customers WHERE pastdue='1' AND hubarea='1')
AND customerid NOT IN
(SELECT DISTINCT customerid FROM comments WHERE DATEDIFF(NOW(), date) <= 27)
GROUP BY customerid
ORDER BY maxdate
The first "WHERE" clause is just ensuring that it shows only customers from a specific area, and that they are "past due enabled". The second makes sure that the customer has not been commented on within the last 27 days. It's grouped by customerid, because that is the number that is associated with each individual customer. When I get the results, everything is right except for the comment column...any ideas?
Join much better to nested query so you use the join instead of nested query
Join increase your speed
this query resolve your problem.
SELECT DISTINCT
customerid,id, customername, user, MAX(date) AS 'maxdate', comment
FROM comments inner join customers on comments.customerid = customers.id
WHERE comments.pastdue='1' AND comments.hubarea='1' AND DATEDIFF(NOW(), comments.date) <= 27
GROUP BY customerid
ORDER BY maxdate
I think this might probably do what you are trying to achieve. If you can execute it and maybe report back if it does or not, i can probably tweak it if needed. Logically, it ' should' work - IF i have understood ur problem correctly :)
SELECT X.customerid, X.maxdate, co.id, c.customername, co.user, co.comment
FROM
(SELECT customerid, MAX(date) AS 'maxdate'
FROM comments cm
INNER JOIN customers cu ON cu.id = cm.customerid
WHERE cu.pastdue='1'
AND cu.hubarea='1'
AND DATEDIFF(NOW(), cm.date) <= 27)
GROUP BY customerid) X
INNER JOIN comments co ON X.customerid = co.customerid and X.maxdate = co.date
INNER JOIN customer c ON X.customerid = c.id
ORDER BY X.maxdate
You need to have subquery for each case.
SELECT a.*
FROM comments a
INNER JOIN
(
SELECT customerID, max(`date`) maxDate
FROM comments
GROUP BY customerID
) b ON a.customerID = b.customerID AND
a.`date` = b.maxDate
INNER JOIN
(
SELECT DISTINCT ID
FROM customers
WHERE pastdue = 1 AND hubarea = 1
) c ON c.ID = a.customerID
LEFT JOIN
(
SELECT DISTINCT customerid
FROM comments
WHERE DATEDIFF(NOW(), date) <= 27
) d ON a.customerID = d.customerID
WHERE d.customerID IS NULL
The first join gets the latest record for each customer.
The second join shows only customers from a specific area, and that they are "past due enabled".
The third join, which uses LEFT JOIN, select all customers that has not been commented on within the last 27 days. In this case,only records without on the list are selected because of the condition d.customerID IS NULL.
But tomake your query shorter, if the customers table has already unique records for customer, then you don't need to have subquery on it.Directly join the table and put the condition on the WHERE clause.
SELECT a.*
FROM comments a
INNER JOIN
(
SELECT customerID, max(`date`) maxDate
FROM comments
GROUP BY customerID
) b ON a.customerID = b.customerID AND
a.`date` = b.maxDate
INNER JOIN customers c
ON c.ID = a.customerID
LEFT JOIN
(
SELECT DISTINCT customerid
FROM comments
WHERE DATEDIFF(NOW(), date) <= 27
) d ON a.customerID = d.customerID
WHERE d.customerID IS NULL AND
c.pastdue = 1 AND
c.hubarea = 1
Two of your table columns are not contained in either an aggregate function or the GROUP BY clause. for example suppose that you have two data rows with the same customer id and same date, but with different comment data. how SQL should aggregate these two rows? :( it will generate an error...
try this
select customerid, id, customername, user,date, comment from(
select customerid, id, customername, user,date, comment,
#rank := IF(#current_customer = id, #rank+ 1, 1),
#current_customer := id
from comments
where customerid IN
(SELECT DISTINCT id FROM customers WHERE pastdue='1' AND hubarea='1')
AND customerid NOT IN
(SELECT DISTINCT customerid FROM comments WHERE DATEDIFF(NOW(), date) <= 27)
order by customerid, maxdate desc
) where rank <= 1