I was trying to optimize this query differently, but before that, Can we make any slight change in this query to reduce the time without adding any index?
Postgres version: 13.5
Query:
SELECT
orders.id as order_id,
orders.*, u1.name as user_name,
u2.name as driver_name,
u3.name as payment_by_name, referrals.name as ref_name,
array_to_string(array_agg(orders_payments.payment_type_name), ',') as payment_type_name,
array_to_string(array_agg(orders_payments.amount), ',') as payment_type_amount,
array_to_string(array_agg(orders_payments.reference_code), ',') as reference_code,
array_to_string(array_agg(orders_payments.tips), ',') as tips,
array_to_string(array_agg(locations.name), ',') as location_name,
(select
SUM(order_items.tax) as tax from order_items
where order_items.order_id = orders.id and order_items.deleted = 'f'
) as tax,
(select
SUM(orders_surcharges.surcharge_tax) as surcharge_tax from orders_surcharges
where orders_surcharges.order_id = orders.id
)
FROM "orders"
LEFT JOIN
users as u1 ON u1.id = orders.user_id
LEFT JOIN
users as u2 ON u2.id = orders.driver_id
LEFT JOIN
users as u3 ON u3.id = orders.payment_received_by
LEFT JOIN
referrals ON referrals.id = orders.referral_id
INNER JOIN
locations ON locations.id = orders.location_id
LEFT JOIN
orders_payments ON orders_payments.order_id = orders.id
WHERE
(orders.company_id = '626')
AND
(orders.created_at BETWEEN '2021-04-23 20:00:00' AND '2021-07-24 20:00:00')
AND
orders.order_status_id NOT IN (10, 5, 50)
GROUP BY
orders.id, u1.name, u2.name, u3.name, referrals.name
ORDER BY
created_at ASC LIMIT 300 OFFSET 0
Current Index:
"orders_pkey" PRIMARY KEY, btree (id)
"idx_orders_company_and_location" btree (company_id, location_id)
"idx_orders_created_at" btree (created_at)
"idx_orders_customer_id" btree (customer_id)
"idx_orders_location_id" btree (location_id)
"idx_orders_order_status_id" btree (order_status_id)
Seems this takes more time on the parallel heap scan.
JOINwhich might let your estimate the wrong number for your query, try to split as a small query & hit in your indexes from your fitler.orders(order_id, company_id). Maybe this link can help you. stackoverflow.com/questions/26666773/…