installment_table:
acc_no
installment_no
due_date
12
1
2022-04-22
12
2
2022-05-22
12
3
2022-06-22
12
4
2022-07-22
12
5
2022-08-22
transaction_table:
acc_no
txn_date
12
2022-04-22
12
2022-05-24
12
2022-06-18
12
2022-07-18
12
2022-08-25
resulting_table:
acc_no
installment_no
due_date
txn_date
days_diff
12
1
2022-04-22
2022-04-22
0
12
2
2022-05-22
2022-05-24
2
12
3
2022-06-22
2022-06-18
-4
12
4
2022-07-22
2022-07-18
-4
12
5
2022-08-22
2022-08-25
3
I want to join the tables based on the account number and the nearest transaction date. Is there a way to do it in MySQL 8.0.37?
You can use a lateral join to evaluate the days difference and select the minimum for each row:
select *
from installment i,
lateral(
select txn_date, DateDiff(txn_date, due_date) days_diff
from transaction t
where t.acc_no = i.acc_no
order by Abs(DateDiff(txn_date, due_date))
limit 1
)t;
See Example fiddle
Related
I want to find data for the last 20 Tuesday.
Date value
2020-03-03 01:12:15 5
2020-02-25 07:12:15 13
2020-02-24 08:12:15 1
2020-02-23 09:12:15 32
2020-02-22 10:12:15 7
2020-02-21 11:12:15 43
2020-02-20 12:12:15 7
2020-02-19 13:12:15 1
2020-02-18 14:12:15 31
2020-02-17 15:12:15 14
and so one
My desired output is
Date value
2020-03-03 01:12:15 5
2020-02-25 07:12:15 13
2020-02-18 14:12:15 31
and so on
Is this what you want?
select t.*
from t
where weekday(date) = 2
order by date desc
limit 3 -- or 20
You can use below query
select t.*
from t
where weekday(date) = 2
order by date desc
limit 20
You could use year and dayofweek
select * from myTable
where year(date) = 2020
and dayofweek(date) = 5
The table "commissions" is of this form:
affiliate referral amount date
3 2 15 2016-08-27
1 22 10 2016-08-29
4 45 5 2016-09-06
1 33 9 2016-09-08
3 17 4 2016-09-11
2 33 10 2016-09-16
1 9 7 2016-09-26
3 17 9 2016-09-26
2 69 10 2016-09-30
1 21 7 2016-10-01
4 55 2 2016-10-06
I need to find out the ranking of the affiliates with most commissions month to month.
I have tried:
SELECT affiliate, SUM(amount) as amount
FROM commissions
GROUP BY affiliate, YEAR(date), MONTH(date)
But unfortunately it is not throwing the desired results.
Please help.
I have table structure like where Loanid is Foreign Key
TranID LOANID TRANSDATE
2 2 2013-05-01
13 2 2013-05-10
14 2 2013-05-15
6 5 2013-05-01
7 5 2013-06-10
8 5 2013-06-14
9 5 2013-07-01
10 5 2013-07-10
i need a query to calculate Days between like below .
TranID LOANID TRANSDATE DAYS_BETWEEN
2 2 2013-05-01 9
13 2 2013-05-10 5
14 2 2013-05-15 0
6 5 2013-05-01 41
7 5 2013-06-10 4
8 5 2013-06-14 17
9 5 2013-07-01 9
10 5 2013-07-10 0
Possibly a self join, using MIN to get the next date.
SELECT t1.tranid,
t1.loanid,
t1.transdate
DATEDIFF(IFNULL(MIN(t2.transdate), t1.transdate), t1.transdate) AS days
FROM some_table t1
LEFT OUTER JOIN some_table t2
ON t1.loanid = t2.loan_id
AND t1.transdate < t2.transdate
GROUP BY t1.tranid,
t1.loanid,
t1.transdate
My table votes contains votes that have been made by users at different times:
id item_id position user_id created_at
1 2 0 1 11/21/2013 11:27
26 1 1 1 11/21/2013 11:27
27 3 2 1 11/21/2013 11:27
42 2 2 1 12/7/2013 2:20
41 3 1 1 12/7/2013 2:20
40 1 0 1 12/7/2013 2:20
67 2 2 1 12/13/2013 1:13
68 1 1 1 12/13/2013 1:13
69 3 0 1 12/13/2013 1:13
84 2 0 1 12/28/2013 2:29
83 3 2 1 12/28/2013 2:29
82 1 1 1 12/28/2013 2:29
113 3 0 1 1/17/2014 22:08
114 1 1 1 1/17/2014 22:08
115 2 2 1 1/17/2014 22:08
138 2 0 1 1/20/2014 16:49
139 1 1 1 1/20/2014 16:49
140 3 2 1 1/20/2014 16:49
141 1 1 11 1/20/2014 16:51
142 3 2 11 1/20/2014 16:51
143 2 0 11 1/20/2014 16:51
I need to tally the results on a monthly basis but here's the tricky part: the start/end of the month does not necessarily fall on the first day of the month. So if the votes are due on the 10th day of every month, I need a vote that was cast on the 10th to be in a different group from a vote that was cast on the 11th. Using the data above, I want to get three groups:
Group 1: 6 votes (11/21 and 12/7)
Group 2: 6 votes (12/13, 12/28)
Group 3: 9 votes (1/17, 1/20)
I've tried a lot of approaches but to no avail. This is my query right now:
select created_at, ADDDATE(DATE_FORMAT(created_at, '%Y-%m-01'),interval 10 day) as duedate,count("id") from votes where list_id = 2 group by duedate
I am getting group sizes of 3, 9, and 9, not 6, 6 and 9. Any help you can provide would be much appreciated. Thanks.
Your query is close. You just need to subtract 9 days (10 - 1) from the current day to get the month:
select created_at, date_sub(created_at, interval 9 day) as duedate,
count(id)
from votes
where list_id = 2
group by duedate;
date_format() converts a date to a string. There is no need to convert a date value to a character value for this query.
EDIT:
To group by month:
select date_format(date_sub(created_at, interval 9 day), '%Y-%m') as YYYYMM,
count(id)
from votes
where list_id = 2
group by YYYYMM;
I have a table
date d_id r_id p_id q_sold onhand
2012-10-10 5 1 3025 3 10
2012-10-10 5 1 3022 12 20
2012-10-10 5 1 3023 15 33
2012-10-11 5 1 3025 3 10
2012-10-11 5 1 3022 12 20
2012-10-11 5 1 3023 15 33
2012-10-12 5 1 3025 3 10
2012-10-12 5 1 3022 12 20
2012-10-12 5 1 3023 15 33
2012-10-13 5 1 3025 3 10
2012-10-13 5 1 3022 12 20
2012-10-13 5 1 3023 15 33
2012-10-14 5 1 3025 3 10
2012-10-14 5 1 3022 12 10
2012-10-14 5 1 3023 15 33
2012-10-15 5 1 3025 3 5
2012-10-15 5 1 3022 12 5
2012-10-15 5 1 3023 15 33
I would like to get the result of the q_sold divided by average of the onhand over a 5 day period, while displaying the other data for a specific date like the 2012-10-15.
I create a query
set #stdate = '2012-10-10';
set #endate = '2012-10-15';
SELECT date, d_id,r_id,p_id,q_sold,onhand,qty_sold/AVG(qty_onhand)
FROM stp_vwsales_info_tots
WHERE date BETWEEN #stdate and #endate and d_id=5
GROUP BY d_id,r_id,p_id
But the result being showed is incorrect, it displays the data for the 2012-10-10 instead of 2010-10-15
date d_id r_id p_id q_sold onhand avg
2012-10-10 5 1 3022 12 20 0.7579
2012-10-10 5 1 3023 15 33 0.4545
2012-10-10 5 1 3025 3 10 0.3273
Can anyone help?
Use your #stdate and #endate as DATE(#stdate/#endate) or DATE_FORMAT(#stdate/#endate,'%Y-%m-%d') otherwise you have to convert #stdate/#endate from string to date through MySQL
i think what your looking for is something called a simple moving average.
to calculate this you'll need to use an inline subquery - so performance won't be the best.
assuming you want to calculate the average over the previous 5 day period, try something like this:
SELECT
date, d_id, r_id, p_id, q_sold, onhand,
( SELECT q_sold/AVG(t2.onhand)
FROM stp_vwsales_info_tots AS t2
WHERE p_id=t1.p_id AND DATEDIFF(t1.date, t2.date) BETWEEN 0 AND 4
) AS 'moving_avg'
FROM stp_vwsales_info_tots AS t1
GROUP BY t1.p_id,t1.date
order by t1.date;