I have 3 tables and I'm joining them to get some data.
----------------- Table Name: users ------------------------------- |user_id | user_name | ------------------------------- 123 | abc ------------------------------- 223 | bcd ------------------------------- 323 | cde ------------------------------- ----------------- Table Name: limit ------------------------------- user_id | limit_id ------------------------------- 123 | 1 ------------------------------- 223 | 2 ------------------------------- 323 | 3 ------------------------------- 323 | 4 ------------------------------- ------------------------- Table Name: limit_setting ------------------------------- limit_id | date_limit ------------------------------- 1 | 2016-09-29 12:00:00 ------------------------------- 2 | 2016-09-28 12:00:00 ------------------------------- 3 | 2016-09-27 12:00:00 ------------------------------- 1 | 2016-09-27 12:00:00 ------------------------------- 1 | 2016-09-24 12:00:00 ------------------------------- 4 | 2016-09-25 12:00:00 ------------------------------- 4 | 2016-09-26 12:00:00 -------------------------------
I need to get a result like this. I am stuck with the GROUP_CONCAT for the dates column. The date column should have all entries other than the MAX date. If there is only one entry in the limit_setting
table for that limit_id then it shouldn't show anything for that user. count_dates
: its the number of entries which are there in the limit_setting
table.
Desired output ---------------------------------------------------------------------- user_name | dates | count_dates ---------------------------------------------------------------------- abc | 2016-09-27 12:00:00 , 2016-09-24 12:00:00 | 3 ---------------------------------------------------------------------- bcd | | 1 ---------------------------------------------------------------------- cde | | 1 ----------------------------------------------------------------------- cde | 2016-09-26 12:00:00 | 2 -----------------------------------------------------------------------
SELECT PP.`user_name`, count(ESL.Limit_id) as count_dates,
GROUP_CONCAT(ESL.date_limit SEPARATOR ',') as dates
FROM users as PP INNER JOIN `limit` as PAL ON PP.Id = PAL.PlayerId
LEFT JOIN limit_setting as ESL ON ESL.LimitId = PAL.limitId
GROUP BY PAL.limitId
Additionally i tried with (which returned nothing)
SELECT ESL.date_limit, MAX(date_limit) as max_date, PP.`user_name`, count(ESL.Limit_id) as count_dates,
GROUP_CONCAT(ESL.date_limit SEPARATOR ',') as dates
FROM users as PP INNER JOIN `limit` as PAL ON PP.Id = PAL.PlayerId
LEFT JOIN limit_setting as ESL ON ESL.LimitId = PAL.limitId
GROUP BY PAL.limitId
HAVING ESL.date_limit > max_date
I tried with Find_in_set
but not sure how to use it effectively.
Try this:
SELECT user_name,
CASE WHEN COUNT(*) > 1
THEN SUBSTRING_INDEX(GROUP_CONCAT(date_limit ORDER BY date_limit),
',', COUNT(*) - 1)
ELSE ''
END AS dates,
COUNT(*) AS count_dates
FROM users as PP
INNER JOIN `limit` as PAL ON PP.user_id = PAL.user_id
LEFT JOIN limit_setting as ESL ON ESL.limit_id = PAL.limit_id
GROUP BY user_name
The query uses SUBSTRING_INDEX
function in order to get all dates returned by GROUP_CONCAT
except from the last date. Using ORDER BY
inside GROUP_CONCAT
we can place the maximum date at the end, so that SUBSTRING_INDEX
truncates exactly this date.
I would use a subquery to return the max date per limit and join this back to the limit setting table to eliminate the maximum dates from the group_concat()
with a case
expression:
SELECT
PP.`user_name`,
count(ESL.Limit_id) as count_dates,
GROUP_CONCAT(CASE
WHEN ESL.date_limit<>ls.maxdate THEN ESL.date_limit
ELSE ''
END SEPARATOR ',') as dates
FROM users as PP
INNER JOIN `limit` as PAL ON PP.Id = PAL.PlayerId
LEFT JOIN limit_setting as ESL ON ESL.LimitId = PAL.limitId
LEFT JOIN (SELECT LimitId, MAX(date_limit) as maxdate
FROM limit_setting
GROUP BY LimitId
) ls ON ESL.LimitId=ls.LimitId
GROUP BY PP.`user_name`
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