I have some trouble getting my query right for a specific output.
My table looks like this:
ID | meta_value | field_id | item_id
------------------------------------
1 | Steve | 75 | 5
2 | Johnsson | 76 | 5
3 | Sick | 705 | 5
4 | John | 75 | 6
5 | Doe | 76 | 6
6 | Sick | 705 | 6
7 | Laura | 75 | 7
8 | Jenner | 76 | 7
9 | Sick | 705 | 7
10 | Laura | 75 | 8
11 | Jenner | 76 | 8
12 | Vacation | 705 | 8
13 | Steve | 75 | 9
14 | Johnsson | 76 | 9
15 | Sick | 705 | 9
And I want to merge - group by item_id and their combined meta_value - and count the results, where the value is "Sick" - Order by count, as follows:
Name: Sick (Count):
Steve Johnsson 2
John Doe 1
Laura Jenner 1
(Vacation is left out)
I think I've tried all possible combination, but obviously nothing seems to be right. (Changing the table is not an option). I've been trying for hours...
Please help :)
Thanks in advance!
Try two levels of aggregation:
select first_name, last_name, count(*)
from (select max(case when field_id = 75 then meta_value end) as first_name,
max(case when field_id = 76 then meta_value end) as last_name,
max(case when field_id = 705 then meta_value end) as reason
from t
group by item_id
) t
where reason = 'sick'
group by first_name, last_name
order by count(*) desc;
Key value tables are ugly, but usually they have at least a grouping column. Yours doesn't. You must find out first which item_ids represent the same user by looking up the names. (And hoping there aren't two different John Smith in the table.)
You'd aggregate per user_id first, then aggregate again per name:
select
name,
sum(item_sick_count) as sick_count
from
(
select
concat(
any_value(case when field_id = 75 then meta_value),
' ',
any_value(case when field_id = 76 then meta_value)
) as name,
sum(field_id = 705 and meta_value = 'Sick') as item_sick_count
from mytable
group by item_id
)
group by name
order by sick_count desc, name;
The sick_count
formula makes use of MySQL's true = 1, false = 0.
Join the table with itself once for every field:
select
f.meta_value as first_name,
l.meta_value as last_name,
count(*) as sick_count
from eav s
join eav f using(item_id)
join eav l using(item_id)
where s.field_id = 705
and s.meta_value = 'Sick'
and f.field_id = 75
and l.field_id = 76
group by first_name, last_name
order by sick_count desc
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