I have wrote the following SQL:
SELECT s.*, (SELECT COUNT(*) FROM orders o WHERE o.schedule_id = s.schedule_id AND o.content_id = s.content_id) as numofbookings
FROM schedules s
WHERE content_id = '{$contentid}'
AND DATEDIFF(`schedule_datetime_from`, now()) > 0
AND (SELECT COUNT(*) FROM orders o WHERE o.schedule_id = s.schedule_id AND o.content_id = s.content_id) < s.schedule_capacity
ORDER BY `s`.`schedule_datetime_from` ASC
Although I am concerned this could be wrote better without querying the orders table twice.
I tried AND numofbookings < s.schedule_capacity although this give error column not found.
SELECT s.*, COUNT(o.schedule_id) AS numofbookings
FROM schedules s
LEFT JOIN orders o
ON s.schedule_id = o.schedule_id
AND s.content_id = o.content_id
WHERE s.content_id = '{$contentid}'
AND DATEDIFF(s.schedule_datetime_from, now()) > 0
GROUP BY s.schedule_id, s.content_id
HAVING COUNT(o.schedule_id) < s.schedule_capacity
ORDER BY s.schedule_datetime_from ASC
Related
I am using the following query to get data from 10 table, It is working fine but quite slow, Is there any way to Optimizing the query.
Query: SELECT emi.emi_due_date,users.usr_mobile,users.usr_id,concat_ws(" ",users.usr_fname,users.usr_mname,users.usr_lname) as borrower,users.usr_status,users.usr_curnt_city, users.usr_email,emi.loan_id,emi.emi_show_date,sum(emi.emi_amount)-sum(ifnull(emi.settled_amount,0)) as due_amount,cb.cb_type,blr.bloan_collection_executive_id,blr.pp_allow,blr.bloan_legal_team_id,blr.bloan_legal_team_status,concat_ws(" ",cp.cp_fname,cp.cp_lname) as cp_name,cp.cp_mobile,cp.cp_firm_name,cp.cp_type,bg.guarantor_name,bg.guarantor_contact,pl.ecs_date,pd.p2p_date,
(SELECT instrument FROM borrower_payment_master WHERE loan_id = emi.loan_id order by id desc limit 0,1) as last_pmode,
(SELECT IFNULL(DATE_FORMAT(emi_show_date - INTERVAL 1 MONTH,"%m-%Y"),"") FROM emi AS e WHERE e.loan_id=emi.loan_id and e.emi_status < 2 ORDER by e.emi_show_date ASC limit 1) as paid_till,
(select payment_date from borrower_payment_master as bp where bp.loan_id=emi.loan_id order by bp.id desc limit 1) as last_emi_paid FROM emi AS emi
INNER JOIN borrower_loan_reg_requests AS blr ON emi.loan_id=blr.bloan_id
INNER JOIN users AS users ON users.usr_id=blr.bloan_user_id
INNER JOIN borrower_loan_disbursed_funds AS blf ON blf.df_bloan_id=emi.loan_id
LEFT JOIN channel_partners AS cp ON cp.cp_id=users.usr_cp_referral_id
LEFT JOIN borrower_posted_loans AS pl ON pl.pl_bloan_id=emi.loan_id
LEFT JOIN collection_bucket AS cb ON cb.cb_loan_id=emi.loan_id AND cb.cb_status = 1
LEFT JOIN borrower_guarantors AS bg ON bg.guarantor_borrower_id=users.usr_id
LEFT JOIN p2p_dates AS pd ON pd.p2p_loan_id=emi.loan_id AND pd.p2p_status = 1
WHERE emi.emi_status<2 AND emi.emi_amount != 0
AND (SELECT count(*) FROM borrower_payment_master as pm WHERE pm.loan_id = emi.loan_id
AND MONTH(pm.payment_date) = "'.date('m').'" AND YEAR(pm.payment_date) = "'.date('Y').'") = 0
AND (select s.settlement_date as sdate from settlement as s WHERE emi.loan_id=s.loan_id limit 1) !=""
group by emi.loan_id order by emi.loan_id desc
the following is the situation. I need to connect an order-table with a message-table. But i'm only interested in the first message(lowest message-id). The connection between the tables is the orderid.
$result = $this->db->executeS('
SELECT o.*, c.iso_code AS currency, s.name AS shippingMethod, m.message AS note
FROM '._DB_PREFIX_.'orders o
LEFT JOIN '._DB_PREFIX_.'currency c ON c.id_currency = o.id_currency
LEFT JOIN '._DB_PREFIX_.'message m ON m.id_order = o.id_order
LEFT JOIN '._DB_PREFIX_.'carrier s ON s.id_carrier = o.id_carrier
LEFT JOIN jtl_connector_link l ON o.id_order = l.endpointId AND l.type = 4
WHERE l.hostId IS NULL AND o.date_add BETWEEN DATE_SUB(NOW(), INTERVAL 1 WEEK) AND NOW()
GROUP BY o.id_order
HAVING MIN(m.id_message)
LIMIT '.$limit
);
This query works so far. But now orders without a message are missing.
Thank you for your help!
Markus
You want to select several orders and per order the first message. This is generally difficult in MySQL for the lack of window functions (e.g. ROW_NUMBER OVER). But as it's just one column from the message table you are interested in, you can use a subquery in the SELECT clause.
SELECT
o.*,
c.iso_code AS currency,
s.name AS shippingMethod,
(
SELECT m.message
FROM message m
WHERE m.id_order = o.id_order
ORDER BY m.id_message
LIMIT 1
) AS note
FROM orders o
JOIN currency c ON c.id_currency = o.id_currency
JOIN carrier s ON s.id_carrier = o.id_carrier
WHERE o.date_add BETWEEN DATE_SUB(NOW(), INTERVAL 1 WEEK) AND NOW()
AND NOT EXISTS
(
SELECT *
FROM jtl_connector_link l
WHERE l.endpointId = o.id_order
AND l.type = 4
);
Using the table below
It can also be easily replaced with an OUTER JOIN whenever a need arises.
The WHERE syntax is more relational model oriented.
A result of two tables JOIN'ed is a cartesian product of the tables to which a filter is applied which selects only those rows with joining columns matching.
It's easier to see this with the WHERE syntax.
SELECT Toy_name, Quantity
FROM Toy T,Hire Transaction H, Store S
WHERE S.Store_ID = T.store_id
AND t.toy_id = H.toy_id
AND t.hire_price = (SELECT max(hire_price) from Toy)
AND UPPER(S.store_suburb = ‘SCARSDALE’)
AND H.hire_date >= ’01/02/2013’
AND H.hire_date <= ’31/03/2015’;
I was able to write this. But how can I solve this using a subquery as asked?
You could avoid the sub select, by ordering your result by descending price, and then limiting the output to just one record:
SELECT Toy_name,
Sum(H.Quantity) total_quantity
FROM Toy T
INNER JOIN `Hire Transaction` H
ON H.Toy_id = t.Toy_id
INNER JOIN Store S
ON S.Store_ID = T.store_id
WHERE upper(S.store_suburb) = 'SCARSDALE'
AND H.hire_date BETWEEN '2013-02-01' AND '2015-03-31'
GROUP BY T.Toy_id
ORDER BY T.Hire_price DESC
LIMIT 1
You can try this
SELECT t.toy_name, sum(ht.quantity) quantity, max(t.hire_price) max_p
FROM toy t
INNER JOIN hire_transaction ht on t.toy_id = ht.toy_id
INNER JOIN store s on t.store_id = s.store_id
WHERE ht.hire_date between '2013-02-01' and '2015-03-31' and upper(s.store_suburb) = 'SCARSDALE'
group by t.toy_id
having max(max_p)
select h.toy_id, sum(h.Quantity) as hire_count from HireTransaction as h where h.hire_date >= ’01/02/2013’
AND h.hire_date <= ’31/03/2015’ group by h.toy_id having h.toy_id = (select toy_id from Toy where hire_price = (select max(hire_price) from Toy) and store_id = (select store_id from Store where store_suburb = 'SCARSDALE')
I've tried this query successfully with a limit. The following query runs endless without limit:
SELECT o.product_sku
FROM order_table o
WHERE EXISTS (SELECT 1
FROM (SELECT DISTINCT u.type_id,
u.charge_type,
u.billed_weight
FROM ups_table u
WHERE charge_type = 'order_shipping_table'
AND NOT billed_weight = '0'
) dtm
WHERE o.order_id = dtm.type_id)
GROUP BY product_sku
HAVING Count(product_sku) > 1
First of all you don't need these subqueries with DISTINCT and so on:
SELECT o.product_sku
FROM order_table o
WHERE EXISTS (SELECT 1
FROM ups_table u
WHERE charge_type = 'order_shipping_table'
AND NOT billed_weight = '0'
AND type_id=o.order_id
)
GROUP BY product_sku
HAVING Count(product_sku) > 1
I don't know your table structure (what do you want to count in the HAVING?) but you can try to change EXISTS to JOIN:
SELECT o.product_sku
FROM order_table o
JOIN ups_table u on (u.type_id=o.order_id)
AND (u.charge_type = 'order_shipping_table')
AND NOT (billed_weight = '0')
GROUP BY product_sku
HAVING Count(DISTINCT o.order_id) > 1
And you need indexes on o.order_id, o.product_sku, u.type_id,u.charge_type, u.billed_weight
Hi I have run into a dilemma, I am doing this query:
SELECT GROUP_CONCAT(DISTINCT(ca.category_name) SEPARATOR ', ') AS categories, pr.promo_name, pr.add_value_text, c.contract_id, c.cmeal_plan, c.cmin_markup, c.civa, c.tax_include, c.hotel_id, hi.hname, hi.hstars, im.image_file, pl.plan_name, ra.price
FROM contracts AS c
INNER JOIN hotel_info AS hi ON hi.hotel_id = c.hotel_id AND hi.destination_id = '6460'
INNER JOIN images AS im ON im.foreign_id = hi.hotel_id
INNER JOIN meal_plan AS pl ON pl.plan_code = c.cmeal_plan AND pl.lang = '1'
INNER JOIN hotel_categories AS hc ON hc.hotel_id = hi.hotel_id
INNER JOIN categories AS ca ON ca.category_code = hc.category_code AND ca.lang = '1'
LEFT JOIN
(SELECT
r.hotel_id, AVG(r.double) AS price
FROM
rates AS r ) AS ra
ON ra.hotel_id = hi.hotel_id
LEFT JOIN promotions AS pr ON pr.hotel_id = hi.hotel_id AND FIND_IN_SET(c.contract_id, pr.contract_id) > 0 AND pr.book_start <= '2012-11-01' AND pr.book_end >= '2012-11-02' AND travel_start <= '2012-11-23' AND travel_end >= '2012-11-30' AND pr.lang = '1'
WHERE c.cstart <= '2012-11-01' AND c.cend >= '2012-11-01'
AND hi.status = '1'
AND im.type ='1'
GROUP BY hi.hotel_id
I am getting all the desired results except for the sub select query.. each hotel has a price but it is only giving me back one result and the rest are all null. Is there an error in my query? If any additional information is needed please let me know and thank you in advance for any help!
You are missing the GROUP BY in your subquery, so MySQL will only return one-value. If you want all hotel_id's then you need to GROUP BY that field:
SELECT GROUP_CONCAT(DISTINCT(ca.category_name) SEPARATOR ', ') AS categories,
pr.promo_name,
pr.add_value_text,
c.contract_id,
c.cmeal_plan,
c.cmin_markup,
c.civa,
c.tax_include,
c.hotel_id,
hi.hname,
hi.hstars,
im.image_file,
pl.plan_name,
ra.price
FROM contracts AS c
INNER JOIN hotel_info AS hi
ON hi.hotel_id = c.hotel_id
AND hi.destination_id = '6460'
INNER JOIN images AS im
ON im.foreign_id = hi.hotel_id
INNER JOIN meal_plan AS pl
ON pl.plan_code = c.cmeal_plan
AND pl.lang = '1'
INNER JOIN hotel_categories AS hc
ON hc.hotel_id = hi.hotel_id
INNER JOIN categories AS ca
ON ca.category_code = hc.category_code
AND ca.lang = '1'
LEFT JOIN
(
SELECT r.hotel_id, AVG(r.double) AS price
FROM rates AS r
GROUP BY r.hotel_id <-- add a GROUP BY hotel_id then you will get avg() for each hotel
) AS ra
ON ra.hotel_id = hi.hotel_id
LEFT JOIN promotions AS pr
ON pr.hotel_id = hi.hotel_id
AND FIND_IN_SET(c.contract_id, pr.contract_id) > 0
AND pr.book_start <= '2012-11-01'
AND pr.book_end >= '2012-11-02'
AND travel_start <= '2012-11-23'
AND travel_end >= '2012-11-30'
AND pr.lang = '1'
WHERE c.cstart <= '2012-11-01'
AND c.cend >= '2012-11-01'
AND hi.status = '1'
AND im.type ='1'
GROUP BY hi.hotel_id