MYSQL slow ORDER BY - mysql

Question

I have an issue when adding an ORDER BY on my query.
without ORDER BY query takes around 26ms, as soon as I add a ORDER BY it's taking around 20s.
I have tried a few different ways but can seem to reduce the time.
Tried FORCE INDEX (PRIMARY)
Tried wrapping SELECT * FROM (...)
Does anyone have any other ideas?
QUERY:
SELECT
orders.id AS order_number,
orders.created AS order_created,
CONCAT_WS(' ', clients.name, office.name) AS client_office,
order_item.code AS product_code,
order_item.name AS product_name,
order_item.description AS product_description,
order_item.sale_price,
jobs.rating AS job_rating,
job_role.start_booking AS book_start,
job_role.end_booking AS book_end,
CONCAT_WS(' ', admin_staffs.first_name, admin_staffs.last_name) AS soul,
admin_roles.name AS role,
services.name AS service,
COUNT(job_item.id) AS total_assets,
COALESCE(orders.project_name, CONCAT_WS(' ', orders.location_unit_no, orders.location_street_number, orders.location_street_number, orders.location_street_name
)
) AS order_title
FROM jobs
LEFT JOIN job_item ON jobs.id = job_item.job_id
LEFT JOIN job_role ON jobs.id = job_role.job_id
LEFT JOIN admin_roles ON admin_roles.id = job_role.role_id
LEFT JOIN services ON services.id = jobs.service_id
LEFT JOIN admin_staffs ON admin_staffs.id = job_role.staff_id
LEFT JOIN order_item ON jobs.item_id = order_item.id
LEFT JOIN orders ON orders.id = order_item.order_id
LEFT JOIN clients ON orders.client_id = clients.id
LEFT JOIN office ON orders.office_id = office.id
LEFT JOIN client_users ON orders.user_id = client_users.id
GROUP BY jobs.id
ORDER BY jobs.order_id DESC
LIMIT 50
EXPLAIN:
+----+-------------+--------------+--------+----------------+-----------+---------+--------------------------------------+-------+---------------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+--------------+--------+----------------+-----------+---------+--------------------------------------+-------+---------------------------------+
| 1 | SIMPLE | jobs | ALL | PRIMARY | NULL | NULL | NULL | 49555 | Using temporary; Using filesort |
| 1 | SIMPLE | job_item | ref | job_id | job_id | 5 | Wx3392vf_UCO_app.jobs.id | 8 | Using where; Using index |
| 1 | SIMPLE | job_role | ref | job_id | job_id | 4 | Wx3392vf_UCO_app.jobs.id | 1 | Using where |
| 1 | SIMPLE | admin_roles | eq_ref | PRIMARY | PRIMARY | 4 | Wx3392vf_UCO_app.job_role.role_id | 1 | Using where |
| 1 | SIMPLE | services | eq_ref | PRIMARY | PRIMARY | 4 | Wx3392vf_UCO_app.jobs.service_id | 1 | Using where |
| 1 | SIMPLE | admin_staffs | eq_ref | PRIMARY | PRIMARY | 4 | Wx3392vf_UCO_app.job_role.staff_id | 1 | NULL |
| 1 | SIMPLE | order_item | eq_ref | PRIMARY | PRIMARY | 4 | Wx3392vf_UCO_app.jobs.item_id | 1 | Using where |
| 1 | SIMPLE | orders | eq_ref | PRIMARY | PRIMARY | 4 | Wx3392vf_UCO_app.order_item.order_id | 1 | Using where |
| 1 | SIMPLE | clients | eq_ref | PRIMARY | PRIMARY | 4 | Wx3392vf_UCO_app.orders.client_id | 1 | Using where |
| 1 | SIMPLE | office | eq_ref | PRIMARY | PRIMARY | 4 | Wx3392vf_UCO_app.orders.office_id | 1 | Using where |
| 1 | SIMPLE | client_users | eq_ref | PRIMARY | PRIMARY | 4 | Wx3392vf_UCO_app.orders.user_id | 1 | Using index |
+----+-------------+--------------+--------+----------------+-----------+---------+--------------------------------------+-------+---------------------------------+

Answer 1

Try to start from this query:
SELECT * FROM jobs ORDER BY jobs.order_id DESC LIMIT 50
And then increase its complexity by adding more joins:
SELECT * FROM jobs
LEFT JOIN job_item ON jobs.id = job_item.job_id
ORDER BY jobs.order_id DESC LIMIT 50
etc.
Make profiling at each step and you will be able to find a bottleneck. Probably, it is some TEXT field in one of joined tables that slows down the query or some other reason.