MySql update table from another one join and group by - mysql

Question

If I have table logs :
ID Date P_id TYPE
-------------------------------
1 2016-9-1 11 adClick
2 2016-9-1 22 adComplete
3 2016-9-1 11 adComplete
4 2016-9-3 22 adClick
5 2016-9-3 22 adClick
6 2016-9-1 44 adClick
7 2016-9-3 44 adComplete
8 2016-9-3 44 adClick
9 2016-9-3 11 adClick
-------------------------------
and another table report having the same Date & P_id as follows :
ID Date P_id clicks
--------------------------------
1 2016-9-1 11
2 2016-9-1 11
3 2016-9-1 22
4 2016-9-3 22
5 2016-9-1 11
6 2016-9-1 44
5 2016-9-1 44
6 2016-9-1 11
---------------------------------
I need MySQL query to fill clicks in report table and according to the key (Date & P_id) :
clicks =
count of rows having (Date & P_id) in Report table
divided by
count of rows having (Date & P_id) and Type is adClick
So the table will be :
ID Date P_id clicks
--------------------------------
1 2016-9-1 11 4 / 1
2 2016-9-1 11 4 / 1
3 2016-9-1 22 0
4 2016-9-3 22 2 / 2
5 2016-9-1 11 4 / 1
6 2016-9-1 44 2 / 1
5 2016-9-1 44 2 / 1
6 2016-9-1 11 4 / 1
---------------------------------
Sample, first row :
2016-9-1 11 4 / 1
4 rows (2016-9-1 11) in report table by
1 row (2016-9-1 11) in logs table with type=adClick
What I have tried so far :
UPDATE report AS r
INNER JOIN
(
SELECT
*, count(id) AS count_value
FROM
logs
WHERE
type= "adClick"
GROUP BY
date,p_id
) log
ON r.date=log.date AND r.p_id=log.p_id
SET r.clicks=(log.count_value / (SELECT COUNT(lof) from report) );
Thanks in advance

Answer 1

You can do this using conditional aggregation:
UPDATE report AS r INNER JOIN
(SELECT date, p_id, count(*) AS cnt,
SUM(type = 'adClick') as cnt_adclick
FROM logs
GROUP BY date,p_id
) l
ON r.date = l.date AND r.p_id = l.p_id
SET r.clicks = cnt_adclick / cnt;
You can also do this with avg() instead of division:
UPDATE report AS r INNER JOIN
(SELECT date, p_id,
AVG(type = 'adClick') as avg_clicks
FROM logs
GROUP BY date,p_id
) l
ON r.date = l.date AND r.p_id = l.p_id
SET r.clicks = avg_clicks;

Answer 2

Try using CONCAT()
UPDATE report AS r
INNER JOIN (
SELECT
date,
p_id,
count(*) AS count,
SUM(type = 'adClick') AS count_adclick
FROM
logs
GROUP BY
date,
p_id
) log ON r.date = log.date
AND r.p_id = log.p_id
SET r.clicks = CONCAT(log.count_adclick, ' / ', log.count);

Answer 3

Thanks all, the following did the job for me :
UPDATE report AS r
INNER JOIN
(
SELECT cnt_adclick,count(*) as cnt_report,date, report.P_id
FROM report
INNER JOIN
(
SELECT date as date, P_id, SUM(event_type = 'adClick') as cnt_adclick
FROM logs
GROUP BY date,P_id
) inner_log
ON report.date = inner_log.date AND report.P_id = inner_log.P_id
GROUP BY report.date, report.P_id
) l
ON r.date = l.date AND r.P_id= l.P_id
SET r.clicks = cnt_adclick / cnt_report;