I have two main tables that comprise bookings for events.
A Registrants table (Bookings) R and an Events table E.
There are also two connected tables, Field_Values V and Event_Categories C
This diagram shows the relationship
What I am trying to do is create an Invoice query that mirrors the user's shopping cart. Often a user will book multiple events in one transaction, so my invoice should have columns for the common items e.g. User Name, User Email, Booking Date, Transaction ID and aggregated columns for the invoice line item values e.g. Quantity "1,2" Description "Desc1, Desc2" Price "10.00, 20.00" where there are two line items in the shopping cart.
The Transaction ID (dcea4_eb_registrant.transaction_id) is unique per Invoice and repeated per line item in that sale.
I have the following query which produces rows for each line item
SELECT
R.id as ID,
E.event_date as ServiceDate,
E.event_date - INTERVAL 1 DAY as DueDate,
Concat('Ad-Hoc Booking:',E.title) as ItemProductService,
Concat(R.first_name, ' ',R.last_name) as Customer,
R.first_name as FirstName,
R.last_name as LastName,
R.email,
R.register_date as InvoiceDate,
R.amount as ItemAmount,
R.comment,
R.number_registrants as ItemQuantity,
R.transaction_id as InvoiceNo,
R.published as Status,
E.event_date AS SERVICEDATE,
Concat('Ad-Hoc Booking:',E.title) AS DESCRIPTION,
R.number_registrants AS QUANTITY,
FORMAT(R.amount / R.number_registrants,2) AS RATE,
R.amount AS AMOUNT,
C.category_id as CLASS,
Concat(Group_Concat(V.field_value SEPARATOR ', '),'. ',R.comment) as Memo
FROM dcea4_eb_events E
LEFT JOIN dcea4_eb_registrants R ON R.event_id = E.id
LEFT JOIN dcea4_eb_field_values V ON V.registrant_id = R.id
LEFT JOIN dcea4_eb_event_categories C ON C.event_id = R.event_id
WHERE 1=1
AND V.field_id IN(14,26,27,15)
AND R.published <> 2 /*Including this line omits Cancelled Invoices */
AND R.published IS NOT NULL
AND (R.published = 1 OR R.payment_method = "os_offline")
AND (R.register_date >= CURDATE() - INTERVAL 14 DAY)
GROUP BY E.event_date, E.title, R.id, R.first_name, R.last_name, R.email,R.register_date, R.amount, R.comment
ORDER BY R.register_date DESC, R.transaction_id
This produces output like this
I'm using the following query to try to group together the rows with a common transaction_ID (rows two and three in the last picture) - I add group_concat on the columns I want to aggregate and change the Group By to be the transaction_id
SELECT
R.id as ID,
E.event_date as ServiceDate,
E.event_date - INTERVAL 1 DAY as DueDate,
Concat('Ad-Hoc Booking:',E.title) as ItemProductService,
Concat(R.first_name, ' ',R.last_name) as Customer,
R.first_name as FirstName,
R.last_name as LastName,
R.email,
R.register_date as InvoiceDate,
R.amount as ItemAmount,
R.comment,
R.number_registrants as ItemQuantity,
R.transaction_id as InvoiceNo,
R.published as Status,
Group_ConCat( E.event_date) AS SERVICEDATE,
Group_ConCat( Concat('Ad-Hoc Booking:',E.title)) AS DESCRIPTION,
Group_ConCat( R.number_registrants) AS QUANTITY,
Group_ConCat( FORMAT(R.amount / R.number_registrants,2)) AS RATE2,
Group_ConCat( R.amount) AS AMOUNT,
Group_ConCat( C.category_id) as CLASS,
Concat(Group_Concat(V.field_value SEPARATOR ', '),'. ',R.comment) as Memo
FROM dcea4_eb_events E
LEFT JOIN dcea4_eb_registrants R ON R.event_id = E.id
LEFT JOIN dcea4_eb_field_values V ON V.registrant_id = R.id
LEFT JOIN dcea4_eb_event_categories C ON C.event_id = R.event_id
WHERE 1=1
AND V.field_id IN(14,26,27,15)
AND R.published <> 2 /*Including this line omits Cancelled Invoices */
AND R.published IS NOT NULL
AND (R.published = 1 OR R.payment_method = "os_offline")
AND (R.register_date >= CURDATE() - INTERVAL 14 DAY)
GROUP BY R.transaction_id
ORDER BY R.register_date DESC, R.transaction_id
But this produces this output
It seems to be multiplying the rows. The Quantity column in the first row should just be 1 and in the second row it should be 2,1 .
I've tried using Group_Concat with DISTINCT but this doesn't work because often the values being concatenated are the same (e.g. the price for two events being booked are both the same) and the query only returns one value e.g. 10 and not 10, 10. The latter being what I need.
I'm guessing the issue is around the way the tables are joined but I'm struggling to work out how to get what I need.
Pointers in the right direction most appreciated.
You seem determined to go in what seems to me to be the wrong direction, so here's a gentle nudge down that hill...
Consider the following...
CREATE TABLE users
(user_id SERIAL PRIMARY KEY
,username VARCHAR(12) UNIQUE
);
INSERT INTO users VALUES
(101,'John'),(102,'Paul'),(103,'George'),(104,'Ringo');
DROP TABLE IF EXISTS sales;
CREATE TABLE sales
(sale_id SERIAL PRIMARY KEY
,purchaser_id INT NOT NULL
,item_code CHAR(1) NOT NULL
,quantity INT NOT NULL
);
INSERT INTO sales VALUES
( 1,101,'A',1),
( 2,103,'A',2),
( 3,103,'A',3),
( 4,104,'A',1),
( 5,104,'A',2),
( 6,104,'A',3),
( 7,103,'B',2),
( 8,103,'B',2),
( 9,104,'B',3),
(10,103,'B',2),
(11,104,'B',2),
(12,104,'B',1);
SELECT u.*
, x.sale_ids
, x.item_codes
, x.quantities
FROM users u
LEFT
JOIN
( SELECT purchaser_id
, GROUP_CONCAT(sale_id ORDER BY sale_id) sale_ids
, GROUP_CONCAT(item_code ORDER BY sale_id) item_codes
, GROUP_CONCAT(quantity ORDER BY sale_id) quantities
FROM sales
GROUP
BY purchaser_id
) x
ON x.purchaser_id = u.user_id;
+---------+----------+---------------+-------------+-------------+
| user_id | username | sale_ids | item_codes | quantities |
+---------+----------+---------------+-------------+-------------+
| 101 | John | 1 | A | 1 |
| 102 | Paul | NULL | NULL | NULL |
| 103 | George | 2,3,7,8,10 | A,A,B,B,B | 2,3,2,2,2 |
| 104 | Ringo | 4,5,6,9,11,12 | A,A,A,B,B,B | 1,2,3,3,2,1 |
+---------+----------+---------------+-------------+-------------+
Here is my mysql schema and query.
http://sqlfiddle.com/#!2/73b0d/2
I want sum(each day's memo.discount), date, sum(each day's sale sum(item.sell_price)) in each row. But can't seem to find out the way. How can I do this?
Expected outcome.
total_discount | added_on | total_sale
300 | 2014-06-25 00:00:00 | 1580
230 | 2014-06-26 00:00:00 | 980
Thanks in advance.
SELECT
SUM(m.discount) AS total_discount,
m.added_on,
sub0.total_sold AS total_sale
FROM memo m
LEFT OUTER JOIN
(
SELECT DATE(memo.added_on) AS group_added_on, SUM(item.sell_price) AS total_sold
FROM memo
JOIN memo_item ON memo_item.memo_id = memo.id
JOIN item ON item.id = memo_item.item_id
WHERE memo.showroom_id = 2
GROUP BY group_added_on
) sub0
ON group_added_on = DATE(m.added_on)
WHERE m.showroom_id = 2 and m.added_on BETWEEN '2014-06-25' AND '2014-06-26'
GROUP BY m.added_on
This has a sub query that gets the sum of the selling prices for each day for the showroom_id you are interested in, then joins that back against the memo table.
How about this?
select
sum(m.discount) as total_discount,
m.added_on,
sum(item.sell_price) as total_sale
from memo m
join memo_item on memo_item.memo_id = m.id
join item on item.id = memo_item.item_id
where m.showroom_id = 2 and m.added_on between '2014-06-25' and '2014-06-26'
group by m.added_on
Edit: to use discount only from "memo" table... :
select
sum(discount) as total_discount,
added_on,
sum(subtotal_sale) as total_sale
from
(
select
m.discount,
m.added_on,
sum(item.sell_price) as subtotal_sale
from memo m
join memo_item on memo_item.memo_id = m.id
join item on item.id = memo_item.item_id
where m.showroom_id = 2 and m.added_on between '2014-06-25' and '2014-06-26'
group by m.id
) h
group by added_on
I need to get Max bid and that username but result is coming in wrong way
Here is my two tables
Product
id | name | username
1 | A | deen
2 B | ann
Bid
id | c_bid | username
1 | 10 | ann
1 | 12 | ann
1 | 13 | ann
2 | 10 | ann
1 | 15 | Hel
1 | 16 | Hel
SQL
SELECT name, bid.username AS username, MAX(bid.c_bid) AS c_bid FROM product INNER JOIN bid
ON gems.id= bidding.id WHERE bid.id = '1'
Result
name | c_bid | username
A | 16 | ann
Why is this result coming on this sql?
Since you are using an aggregate function you need to include a GROUP BY.
SELECT name,
bid.username AS username,
MAX(bid.c_bid) AS c_bid
FROM product
INNER JOIN bid
ON product.id= bid.id
WHERE bid.id = '1'
GROUP BY name, bid.username
See SQL Fiddle with Demo
You are getting strange results because MySQL uses an Extension to GROUP BY that allows you to use an aggregate function without using a GROUP BY but this could cause your result to be incorrect.
The GROUP BY makes it so you will return the max(bid) for each item that you are grouping by, in your case it is name and `username.
If you want to return only one max(bid) for each product id, then you could use:
SELECT name,
bid.username AS username,
bid.c_bid
FROM product
INNER JOIN bid
ON product.id= bid.id
INNER JOIN
(
SELECT max(c_bid) c_bid, id
FROM bid
GROUP BY id
) b
on bid.id = b.id
and bid.c_bid = b.c_bid
WHERE bid.id = '1'
See SQL Fiddle with Demo
Use GROUP BY.
SELECT name, bid.username AS username, MAX(bid.c_bid) AS c_bid FROM product INNER JOIN bid
ON gems.id= bidding.id WHERE bid.id = '1' GROUP BY bid.username;
SELECT
p.username,
MAX(b.c_bid) AS max_c_bid
FROM product p
LEFT JOIN bid b ON (p.username = b.username)
GROUP BY p.username;
SELECT
pr.name,
mb.c_bid,
pr.username
FROM
(
SELECT
SUBSTRING_INDEX(GROUP_CONCAT(id ORDER BY c_bid DESC), ',', 1) AS id,
MAX(c_bid) AS c_bid
FROM bid
GROUP BY id
) AS mb
JOIN product AS pr ON(pr.id = mb.id)
Example: http://sqlfiddle.com/#!2/0a6c9/2
I have this freight.or_nos table which contains series of receipt numbers. I want to list all the or's being issued excluding the status='Cancelled' making the series broken in groups.
For example I have this receipt stab 125001-125050, and 125020 is cancelled so the listing result would be:
+-------------------------------------------------------+
| OR Start | OR End | Quantity | Amount |
+-------------------------------------------------------+
| 125001 | 125019 | 19 | |
+-------------------------------------------------------+
| 125021 | 125050 | 30 | |
+-------------------------------------------------------+
This seems to be a tough query.
Thanks for reading but I already made it, just now! :)
Here's my query(disregard the other characters it's form our CGI):
{.while SELECT `start`,`end`,or_prefix,or_suffix,SUM(a.amount) AS g_total,COUNT(*) AS qcount FROM (SELECT l.id AS `start`,( SELECT MIN(a.id) AS id FROM ( SELECT a.or_no AS id FROM freight.`or_nos` a WHERE a.status!='Cancelled' AND a.log_user = 0#user_teller AND DATE(a.or_date)='#user_date`DATE' AND IF(a.status='Default' AND a.amount=0,0,1) ) AS a LEFT OUTER JOIN ( SELECT a.or_no AS id FROM freight.`or_nos` a WHERE a.status!='Cancelled' AND a.log_user = 0#user_teller AND DATE(a.or_date)='#user_date`DATE' AND IF(a.status='Default' AND a.amount=0,0,1) ) AS b ON a.id = b.id - 1 WHERE b.id IS NULL AND a.id >= l.id ) AS `end` FROM ( SELECT a.or_no AS id FROM freight.`or_nos` a WHERE a.status!='Cancelled' AND a.log_user = 0#user_teller AND DATE(a.or_date)='#user_date`DATE' AND IF(a.status='Default' AND a.amount=0,0,1) ) AS l LEFT OUTER JOIN ( SELECT a.or_no AS id FROM freight.`or_nos` a WHERE a.log_user = 0#user_teller AND DATE(a.or_date)='#user_date`DATE' AND IF(a.status='Default' AND a.amount=0,0,1) ) AS r ON r.id = l.id - 1 WHERE r.id IS NULL) AS k LEFT JOIN freight.`or_nos` a ON a.`or_no` BETWEEN k.start AND k.end AND DATE(a.`or_date`)='#user_date`DATE' AND a.log_user =0#user_teller AND IF(a.status='Default' AND a.amount=0,0,1) AND a.status!='Cancelled' GROUP BY `start`}
{.start}{.x.24.12:end}{.x`p0.40.-5:qcount}{.x`p2.57.-15:g_total}{.asc 255}
{.wend}{.asc 255}
I'm having some difficulty getting to the bottom of this sql query.
Tables:
--Tickets-- --Finance-- --Access--
id_tickets id_finance id_access
name_tickets id_event id_event
cat_tickets id_tickets id_tickets
sold_finance scan_access
Finance and Access both contain a row for multiple of each ticket type as listed in tickets.
and I'm trying to get:
cat_tickets | total_sold | total_scan
-------------------------------------
single | 3043 | 2571
season | 481 | 292
comp | 114 | 75
-------------------------------------
total | 3638 | 2938
The closest I've been to the result I've used:
SELECT tickets.cat_tickets, COALESCE(SUM(finance.sold_finance), 0) AS total_sold, COALESCE(SUM(access.scan_access), 0) AS total_scan
FROM finance INNER JOIN tickets ON finance.id_tickets = tickets.id_tickets
INNER JOIN access ON access.id_tickets = tickets.id_tickets
WHERE access.id_event = 235 AND finance.id_event = access.id_event
GROUP BY tickets.cat_tickets
ORDER BY tickets.cat_tickets DESC
but that just returns:
cat_tickets | total_sold | total_scan
-------------------------------------
single | 4945 | 4437
season | 954 | 599
comp | 342 | 375
-------------------------------------
total | 6241 | 5411
Any ideas where I could be going wrong?
Thanks!
The problem is the relation between access and finance tables, you have to join them. Even if you LEFT JOIN the table the predicate finance.id_event = access.id_event will make it INNER JOIN. As a work around, use UNION like this:
SELECT
tickets.cat_tickets,
SUM(CASE WHEN a.Type = 'f' THEN num ELSE 0 END) AS total_sold,
SUM(CASE WHEN a.Type = 'a' THEN num ELSE 0 END) AS total_scan
FROM tickets
LEFT JOIN
(
SELECT 'f' Type, id_tickets, sold_finance num
FROM finance f
WHERE id_event = 1
UNION ALL
SELECT 'a', id_tickets, scan_access
FROM access
WHERE id_event = 1
) a ON a.id_tickets = tickets.id_tickets
GROUP BY tickets.cat_tickets;
SQL Fiddle Demo
Although I am fully clear on what you want, just try this query if the result of this is what you are expecting.
SELECT tickets.cat_tickets, COALESCE(SUM(finance.sold_finance), 0) AS total_sold, COALESCE(SUM(access.scan_access), 0) AS total_scan
FROM finance LEFT JOIN tickets ON finance.id_tickets = tickets.id_tickets
LEFT JOIN access ON access.id_tickets = tickets.id_tickets
WHERE access.id_event = 235
GROUP BY tickets.cat_tickets
ORDER BY tickets.cat_tickets DESC
Disclaimer: This query is not tested due to incomplete data on the question.
SELECT z.Cat_tickets,
COALESCE(x.total_sold,0) total_sold,
COALESCE(y.total_scan,0) total_scan
FROM tickets z
LEFT JOIN
(
SELECT a.id_tickets,
a.cat_tickets,
SUM(b.sold_finance) total_sold
FROM tickets a
INNER JOIN finance b
ON a.id_tickets = b.id_tickets
WHERE id_event = 235
GROUP BY a.id_tickets, a.cat_tickets
) x ON z.id_tickets = x.id_tickets
LEFT JOIN
(
SELECT aa.id_tickets,
aa.cat_tickets,
SUM(bb.scan_access) total_scan
FROM tickets aa
INNER JOIN Access bb
ON aa.id_tickets = bb.id_tickets
WHERE id_event = 235
GROUP BY aa.id_tickets, aa.cat_tickets
) y ON z.id_tickets = y.id_tickets