I have some data in table_1:
order_id | cust_id | order_date | city_id
101        |    1    | 15/03/2018 |     1001
102        |    1    | 15/03/2018 |     1005
103        |    2    | 10/03/2018 |     1001
104        |    4    | 16/02/2018 |     1006
105        |    4    | 10/01/2018 |     1250
106        |    4    | 15/03/2018 |     1250
107        |    6    | 16/02/2018 |     1058
108        |    6    | 10/03/2018 |     1058
109        |    4    | 23/02/2018 |     1006
110        |    7    | 19/01/2018 |     1005
111        |    7    | 21/01/2018 |     1005
...
I have this data in table_2
city_id | city_name
  1001  |   New York
  1005  |  London
  1006  |  Brighton
  1250  |  Toronto
  1058  | Manchester
I need to find the weekly order count for London for the last 10 weeks, and also the cumulative total.
This is just a subset of the data I'm working with.
So far I've tried this:
set @running_total:=0;
select week(a.order_date) as week_start,
    count(a.order_id) as order_count,
    (
        @running_total := @running_total + count(a.order_id)
        ) as cuml_count
from table_1 a
    left join table_2 b on a.city_id = b.city_id
    join (SELECT @running_total := 0) r
where b.city_name = "London"
group by 1
;
but the resulting cuml_count matches the order_count. On the data I'm working with it looks like:
week_start | order_count | cuml_count
     2     |      1      |      1
     3     |      1      |      1
     10    |      1      |      1
It should look like:
week_start | order_count | cuml_count
         2     |      1      |      1
         3     |      1      |      2
         10    |      1      |      3