I've worte SQL query for average duration from order date to sent date. It is for my e-commerce project. But I want compare it with previous month.
SELECT AVG(DATEDIFF(os.time, o.ordered)) AS average_value,
YEAR(os.time) AS groupYear,
MONTH(os.time) AS groupMonth
FROM orders AS o
LEFT JOIN order_status_history os ON o.id = os.order_id
WHERE os.status_id = 2
GROUP BY groupyear, groupmonth
I want in select average value from previous month too. I've try LEFT JOIN with ON -1 month. But it showed bad values, so it's not probably right way.
o.ordered and os.time are both Datetime.
Thanks everyone for help.
this is not tested. if it not work you can post some sampledata and create statements
SELECT AVG(DATEDIFF(os.time, o.ordered)) AS average_value,
YEAR(os.time) AS groupYear,
MONTH(os.time) AS groupMonth
FROM orders AS o
LEFT JOIN order_status_history os ON o.id = os.order_id
LEFT JOIN (
SELECT AVG(DATEDIFF(os.time, o.ordered)) AS average_value,
YEAR(os.time) AS groupYear,
MONTH(os.time) AS groupMonth
FROM orders AS o
LEFT JOIN order_status_history os ON o.id = os.order_id
WHERE os.status_id = 2
GROUP BY DATE_FORMAT(os.`time`, '%Y%my')
) AS l ON l.groupYear = YEAR(SUBDATE(os.time, INTERVAL 1 MONTH)) AND l.groupMonth = MONTH(SUBDATE(os.time, INTERVAL 1 MONTH))
WHERE os.status_id = 2
GROUP BY DATE_FORMAT(os.`time`, '%Y%my');
My solution is to create a view for the subquery first:
CREATE VIEW MonthlyValue AS
SELECT YEAR(os.time) AS groupYear,
MONTH(os.time) AS groupMonth,
os.status_id,
AVG(DATEDIFF(os.time, o.ordered)) AS average_value
FROM orders AS o
LEFT JOIN order_status_history os ON o.id = os.order_id
GROUP BY groupyear, groupmonth,os.status_id;
Then you can use the view to get information of the previous and current month:
SELECT tc.groupYear as year, tc.groupMonth as month, tp.groupYear prevYear, tp.groupMonth as prevMonth,
mv.average_value, mvprev.average_value, mv.average_value - mvprev.average_value as difference
FROM MonthlyValue mv join MonthlyValue mvprev on mv.status_id=mvprev.status_id and
(mv.groupYear=mvprev.groupYear and mvprev.groupMonth=mv.groupMonth-1 or
mv.groupMonth=1 and mvprev.groupMonth=12 and mvprev.groupYear=mv.groupYear-1)
WHERE mv.status_id = 2;
Related
first time on here, hoping for help. (MySQL) I tried to use subqueries in a SELECT statement but when I GROUP BY, the single aggregate value outputs of the subqueries just produce the one same value for all rows in the table. This implies they are not GROUPED, right? How close am I to getting this right? Thanks
SELECT
c.name, ca.name, DATE_FORMAT(sp.created,'%Y%m') AS yr_month,
ss.signup_source, count(sp.seller_profile_id) AS No_seller_profiles,
(SELECT SUM(seller_invoice.gbp_value)/100
FROM seller_invoice JOIN seller_profile
ON seller_invoice.seller_profile_id = seller_profile.seller_profile_id
WHERE seller_invoice.created BETWEEN seller_profile.created AND ADDDATE(seller_profile.created, INTERVAL 30 DAY)),
(SELECT count(project_response.project_response_id)
FROM project_response JOIN seller_profile
ON project_response.seller_profile_id = seller_profile.seller_profile_id
WHERE project_response.created BETWEEN seller_profile.created AND ADDDATE(seller_profile.created, INTERVAL 30 DAY) AND project_response.is_visible_to_seller = 1)
FROM seller_profile AS sp
JOIN country AS c ON sp.country_id = c.country_id
JOIN seller_category AS sc ON sp.seller_profile_id = sc.seller_profile_id
JOIN category AS ca ON sc.category_id = ca.category_id
JOIN seller_signup_source AS ss ON sp.seller_profile_id = ss.seller_profile_id
WHERE sp.created BETWEEN '2018-11-01' AND '2018-12-31'
GROUP BY 1,2,3,4;
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
);
I have following query
SELECT YEAR(T.date), MONTH(T.date), T.production, T.lineID, SUM(rework + scrap)
FROM
(SELECT MAX(positionID), date, production, lineID
FROM productionPerPosition
WHERE lineID = 2
AND date BETWEEN '2017-01-01' AND '2017-01-31'
GROUP BY date) AS T
INNER JOIN linePosition lp ON lp.lineID = T.lineID
INNER JOIN fttErrorType fet ON fet.positionID = lp.positionID
INNER JOIN fttData fd ON fd.errorID = fet.errorID
AND fd.date = T.date
GROUP BY YEAR(T.date), MONTH(T.date)
which gives this result
Now, I would like to group these results by year and month to get sum of production and sum of last column. I've tried this query
SELECT YEAR(T.date), MONTH(T.date), SUM(T.production), T.lineID, SUM(rework + scrap)
FROM
(SELECT MAX(positionID), date, production, lineID
FROM productionPerPosition
WHERE lineID = 2
AND date BETWEEN '2017-01-01' AND '2017-01-31'
GROUP BY date) AS T
INNER JOIN linePosition lp ON lp.lineID = T.lineID
INNER JOIN fttErrorType fet ON fet.positionID = lp.positionID
INNER JOIN fttData fd ON fd.errorID = fet.errorID
AND fd.date = T.date
GROUP BY YEAR(T.date), MONTH(T.date)
Which gives me
Here production sum is wrong! It seems that GROUP BY from 7th line in first query is ignored.
Any idea how could I get needed result?
Edit: In inner SELECT I have separate production for several different positions (positionID) but I'm using only production from position that has highest positionID
Group has missing grouping columns that why it is resulting in some unexpected result
SELECT YEAR(T.date), MONTH(T.date), SUM(T.production), T.lineID, SUM(rework + scrap)
FROM
(SELECT MAX(positionID), date, production, lineID
FROM productionPerPosition
WHERE lineID = 2
AND date BETWEEN '2017-01-01' AND '2017-01-31'
GROUP BY date, production, lineID) AS T
INNER JOIN linePosition lp ON lp.lineID = T.lineID
INNER JOIN fttErrorType fet ON fet.positionID = lp.positionID
INNER JOIN fttData fd ON fd.errorID = fet.errorID
AND fd.date = T.date
GROUP BY YEAR(T.date), MONTH(T.date), T.lineID
Has explained in e4c5 comment, you have to add all the unaggregated fields to your GROUP BY. I made it in the inner SELECT and in the main SELECT:
SELECT YEAR(T.date), MONTH(T.date), SUM(T.production), T.lineID, SUM(rework + scrap)
FROM
(SELECT MAX(positionID), date, production, lineID
FROM productionPerPosition
WHERE lineID = 2
AND date BETWEEN '2017-01-01' AND '2017-01-31'
GROUP BY date, production, lineID) AS T
INNER JOIN linePosition lp ON lp.lineID = T.lineID
INNER JOIN fttErrorType fet ON fet.positionID = lp.positionID
INNER JOIN fttData fd ON fd.errorID = fet.errorID
AND fd.date = T.date
GROUP BY YEAR(T.date), MONTH(T.date), T.lineID
I have four tables person,loan,ca,payments
I would like to get the sum of all payments amounts and cash advance amounts which has the same ID as the loan joined with a person from a specific date.
Here is my code, but the sum is calculated incorrectly:
SELECT pd.*,
l.total_loan_amount,
sum(c.ca_total_amount) AS ctot,
sum(p.payment_amount)
FROM personal_data pd
LEFT JOIN loans l
ON pd.id_personal_data = l.id_personal_data
LEFT JOIN ca c
ON l.id_loan = c.id_loan
LEFT JOIN payments p
ON l.id_loan = p.id_loan
WHERE l.loan_date = curDate()
AND (
c.ca_date = curDate()
OR c.ca_date IS NULL
)
AND (
p.payment_date = curDate()
OR p.payment_date IS NULL
)
GROUP BY pd.id_personal_data
Doing that may sometimes retrieve invalid results because id may or may not sometimes be present on other table.
Try using a subquery for each column you want to retrieve.
SELECT pd.*,
l.total_loan_amount,
c.totalCA,
p.totalPayment
FROM personal_data pd
LEFT JOIN loans l
ON pd.id_personal_data = l.id_personal_data
LEFT JOIN
(
SELECT id_loan, SUM(ca_total_amount) totalCA
FROM ca
-- WHERE DATE(ca_date) = DATE(CURDATE()) OR
-- ca_date IS NULL
GROUP BY id_loan
) c ON l.id_loan = c.id_loan
LEFT JOIN
(
SELECT id_loan, SUM(payment_amount) totalPayment
FROM payments
-- WHERE DATE(payment_date) = DATE(CURDATE()) OR
-- payment_date IS NULL
GROUP BY id_loan
) p ON l.id_loan = p.id_loan
WHERE DATE(l.loan_date) = DATE(curDate())
I think dates on every payment and cash advance are irrelevant because you are looking for its totals based on the date of loan
I have the folowing sql query:
SELECT DISTINCT(tbl_products.product_id), tbl_products.product_title,
tbl_brands.brand_name, tbl_reviews.review_date_added,
NOW() AS time_now
FROM tbl_products, tbl_reviews, tbl_brands
WHERE tbl_products.product_id = tbl_reviews.product_id AND
tbl_products.brand_id = tbl_brands.brand_id
ORDER BY tbl_reviews.review_date_added DESC
That needs to filter out any duplicate product_id's unfortunatly selecting tbl_reviews.review_date_added makes each record unique which means DISTINCT will not work anymore.
Is there any otherway of doing this query so that product_id is still unique?
I did do the GROUP BY and the problem is I display the tbl_reviews.review_date_added on a website and it selects the oldest date. I need the newest date.
Regards
With the description given, it's a bit hard to be certain, but if review_date_added is the only problem, it seems like you want the MAX() of that date?
If the following doesn't help, please could you give example data, example output, and a description of how you want the output to be created?
SELECT
tbl_products.product_id,
tbl_products.product_title,
tbl_brands.brand_name,
MAX(tbl_reviews.review_date_added) AS review_date_added,
NOW() AS time_now
FROM
tbl_products
INNER JOIN
tbl_reviews
ON tbl_products.product_id = tbl_reviews.product_id
INNER JOIN
tbl_brands
ON tbl_products.brand_id = tbl_brands.brand_id
GROUP BY
tbl_products.product_id,
tbl_products.product_title,
tbl_brands.brand_name
ORDER BY
MAX(tbl_reviews.review_date_added) DESC
Distinct works for the entire row. The parenthesis are just around the field:
distinct (a), b, c === distinct a, b, c
A straightforward solution is group by. You can use min to select the oldest date.
select tbl_products.product_id
, min(tbl_products.product_title)
, min(tbl_brands.brand_name)
, min(tbl_reviews.review_date_added)
, NOW() AS time_now
FROM tbl_products, tbl_reviews, tbl_brands
WHERE tbl_products.product_id = tbl_reviews.product_id AND
tbl_products.brand_id = tbl_brands.brand_id
GROUP BY
tbl_products.product_id
ORDER BY
min(tbl_reviews.review_date_added) DESC
Note that if a product can have multiple brands, this will pick the lowest one.
Try this:
SELECT pr.product_id, pr.product_title,
bd.brand_name,
(SELECT MAX(rev.review_date_added) FROM tbl_reviews rev
WHERE pr.product_id = rev.product_id) AS maxdate,
NOW() AS time_now
FROM tbl_products pr INNER JOIN tbl_reviews re
ON pr.product_id = re.product_id
INNER JOIN tbl_brands bd
ON pr.brand_id = bd.brand_id
GROUP BY pr.product_id
ORDER BY re.review_date_added DESC
or (as suggested by #Hogan)
SELECT pr.product_id, pr.product_title,
bd.brand_name, md.maxdate
NOW() AS time_now
FROM tbl_products pr INNER JOIN tbl_reviews re
ON pr.product_id = re.product_id
INNER JOIN tbl_brands bd
ON pr.brand_id = bd.brand_id
INNER JOIN (SELECT product_id, MAX(review_date_added) AS maxdate
FROM tbl_reviews rev GROUP BY product_id) md
ON pr.product_id = md.product_id
GROUP BY pr.product_id
ORDER BY re.review_date_added DESC
I combined the answer of Andomar with some changes you will find here.
SELECT tbl_products.product_id, tbl_products.product_title,
tbl_products.product_date_added, tbl_brands.brand_name,
MAX(tbl_reviews.review_date_added) AS review_date_added, NOW() AS time_now
FROM tbl_products, tbl_reviews, tbl_brands
WHERE tbl_products.product_id = tbl_reviews.product_id AND
tbl_products.brand_id = tbl_brands.brand_id
GROUP BY tbl_products.product_id
ORDER BY MAX(tbl_reviews.review_date_added) DESC
Works beautifully and shows the newest date at tbl_reviews.review_date_added.
Regards