I'm tring to write a query, without a good resultset.
I would to retreive a Number of reservations in last 7 days.
Grouped by NameOfResource.
When i'm tring to set a WHERE clause like this prenotazioni.Data >= CURDATE() - INTERVAL 7 DAY
I get only NameOfResource with reservations in latest 7 days,
but not the rooms without reservations.
My Query was like that: (without WHERE the result is good)
SELECT count(*) as NReservationsFromWeek,Nomeroom FROM reservations
INNER JOIN room ON reservations.FKRoom = room.IDRoom
WHERE reservations.Data >= CURDATE() - INTERVAL 7 DAY
group by room.IDRoom
Thank you to explain me where I was wrong.
You can use a LEFT JOIN, if you want all rooms, even those with a count of 0:
SELECT ro.IDRoom, ro.Nomeroom, COUNT(re.FKRoom) as NReservationsFromWeek,
FROM room ro LEFT JOIN
reservations re
ON re.FKRoom = ro.IDRoom AND
re.Data >= CURDATE() - INTERVAL 7 DAY
GROUP BY ro.IDRoom, ro.Nomeroom; -- Both unaggregated keys should be in the GROUP BY
Related
"SELECT count(id) AS total FROM participant where dateofbooking='$datepick'";
I am using this code. But its showing only one date(selected date from php) count. but I want to select single date and it should show me upto 5 days daily wise count booking.
output should be like this:-
2018-05-20------>48
2018-05-21------>58
2018-05-22------>67
2018-05-23------>78
2018-05-24------>43
You can use DATE_ADD() :
SELECT dateofbooking, count(id) AS total
FROM participant
WHERE dateofbooking >= $datepick AND
dateofbooking <= DATE_ADD($datepick, INTERVAL 5 DAY)
GROUP BY dateofbooking;
You can group it by the date column you are using, and if you want multiple days you can add dateofbooking >= some_start_date and dateofbooking <= some_end_date
"SELECT count(id) AS total FROM participant where dateofbooking='$datepick' group by dateofbooking";
the multiple may look something like
"SELECT count(id) AS total FROM participant where dateofbooking>='$datepickstart' AND dateofbooking<='$datepickend' group by dateofbooking";
I have the following query that is quite complex and even though I tried to understand how to do using various sources online, all the examples uses simple queries where mine is more complex, and for that, I don't find the solution.
Here's my current query :
SELECT id, category_id, name
FROM orders AS u1
WHERE added < (UTC_TIMESTAMP() - INTERVAL 60 SECOND)
AND (executed IS NULL OR executed < (UTC_DATE() - INTERVAL 1 MONTH))
AND category_id NOT IN (SELECT category_id
FROM orders AS u2
WHERE executed > (UTC_TIMESTAMP() - INTERVAL 5 SECOND)
GROUP BY category_id)
GROUP BY category_id
ORDER BY added ASC
LIMIT 10;
The table orders is like this:
id
category_id
name
added
executed
The purpose of the query is to list n orders (here, 10) that belong in different categories (I have hundreds of categories), so 10 category_id different. The orders showed here must be older than a minute ago (INTERVAL 60 SECOND) and never executed (IS NULL) or executed more than a month ago.
The NOT IN query is to avoid treating a category_id that has already been treated less than 5 seconds ago. So in the result, I remove all the categories that have been treated less than 5 seconds ago.
I've tried to change the NOT IN in a LEFT JOIN clause or a NOT EXISTS but the switch results in a different set of entries so I believe it's not correct.
Here's what I have so far :
SELECT u1.id, u1.category_id, u1.name, u1.added
FROM orders AS u1
LEFT JOIN orders AS u2
ON u1.category_id = u2.category_id
AND u2.executed > (UTC_TIMESTAMP() - INTERVAL 5 SECOND)
WHERE u1.added < (UTC_TIMESTAMP() - INTERVAL 60 SECOND)
AND (u1.executed IS NULL OR u1.executed < (UTC_DATE() - INTERVAL 1 MONTH))
AND u2.category_id IS NULL
GROUP BY u1.category_id
LIMIT 10
Thank you for your help.
Here's a sample data to try. In that case, there is no "older than 5 seconds" since it's near impossible to get a correct value, but it gives you some data to help out :)
Your query is using a column which doesn't exist in the table as a join condition.
ON u1.domain = u2.category_id
There is no column in your example data called "domain"
Your query is also using the incorrect operator for your 2nd join condition.
AND u2.executed > (UTC_TIMESTAMP() - INTERVAL 5 SECOND)
should be
AND u2.executed < (UTC_TIMESTAMP() - INTERVAL 5 SECOND)
as is used in your first query
I have three tables. customers, DVDs, Movies. This is the last report I need to produce, and it's tripping me up. I currently have a field: dvd.Due_Date, which is the date that the product is due back. I need to retrieve all files where the Due Date is 15 days past the current date.
This is what I have so far:
SELECT customer.customer_id,
customer.customer_fname,
customer.customer_lname,
customer.customer_phone,
customer.customer_email,
dvd.DVD_ID, movie.Movie_Title,
dvd.Rental_Date, dvd.Due_Date
FROM customer INNER JOIN dvd
ON customer.customer_id = dvd.customer_id
INNER JOIN movie ON dvd.Movie_ID = movie.Movie_ID
WHERE DATEDIFF(Due_Date, CURDATE() ) > 15
I'm not getting any errors, I'm just not getting any results back, even though I have multiple items listed as due date of Feb. 10th. I do get all of the information I want if I remove everything past the WHERE statement, so I know that is working at least.
For DATEDIFF if the first item is a smaller date than the second item then it returns a negative number (as such could never be larger than 16) and not a positive one. So flip them, you want the later date as the first argument:
... WHERE DATEDIFF( CURDATE(), Due_Date ) > 15
I'm not sure what you mean by "all files where the Due Date is 15 days past the current date." However, try using logic like this:
SELECT c.customer_id, c.customer_fname, c.customer_lname, c.customer_phone, c.customer_email, d.DVD_ID, m.Movie_Title, d.Rental_Date, d.Due_Date
FROM customer c INNER JOIN
dvd d
ON c.customer_id = d.customer_id INNER JOIN
movie m
ON d.Movie_ID = m.Movie_ID
WHERE due_date >= date_sub(curdate(), interval 15 day);
You might want date_add() instead.
I am using the following to show a count of products added over the last 7 days...Can i somehow tailor the query to show all the last 7 days even if COUNT=0?
query as it stands:
SELECT DAYNAME(dateadded) DAY, COUNT(*) COUNT
FROM `products`
WHERE (`dateadded` BETWEEN DATE_SUB(CURDATE(), INTERVAL 7 DAY) AND CURDATE() && site_url = 'mysite.com')
GROUP BY DAY(dateadded)
Add a table with dates in it (a dates lookup table), then:
SELECT DAYNAME(d.FullDate) DAY, COUNT(*) COUNT
FROM dates d
LEFT OUTER JOIN products p ON d.FullDate = DATE(p.dateadded)
AND p.site_url = 'mysite.com'
WHERE d.FullDate BETWEEN DATE_SUB(CURDATE(), INTERVAL 7 DAY) AND CURDATE()
GROUP BY d.FullDate
It takes a little bit of storage, yes, but it will make queries like this a lot easier.
Alternatively, you can make a stored procedure that loops through dates between 7 days ago and today and returns one row for each.
I'm a newbye in the operation with SQL on date.
However,I need to do a query that return record filter by X date < or > of 30 days or similar.
I have this query for now:
SELECT nome_prodotto,quantita
FROM prodotti
LEFT JOIN acquisti
ON prodotti.id_prodotto = acquisti.id_prodotto
my goal is get the product that aren't bought in last 30 days or similar
WHERE DATE_SUB(CURDATE(),INTERVAL 30 DAY) =< your_date;
If the date field in acquisti is called date_acquisti, products not bought in the last 30 days will be queried like this:
SELECT nome_prodotto,quantita
FROM prodotti
LEFT JOIN acquisti
ON (prodotti.id_prodotto = acquisti.id_prodotto
AND acquisti.date_acquisti > CURDATE() - INTERVAL 30 DAY)
where acquisti.id_prodotto is NULL
The trick is using the JOIN condition to get only the product acquisitions in the last 30 days. Since this is a LEFT JOIN, any row in result set where acquisti.id_prodotto is NULL means the product was not purchased in that period.
You can use date_add function to achieve this
Ex:
x_date between DATE_ADD(NOW(), INTERVAL -1 MONTH) and NOW()
Also,
where myDate between some_date and some_other_date
may help you in other similar situations.